基于LangChain和知识图谱的大模型医疗问答机器人项目

【资源目录】：

├──大模型面试笔记书籍
| ├──大模型论文
| | ├──100篇大模型必读论文
| | | ├──01必读.jpg 4.47M
| | | ├──A ConvNet for the 2020s..pdf 734.30kb
| | | ├──A Survey on In-context Learning.pdf 4.67M
| | | ├──A Survey on Knowledge Graphs Representation, Acquisition, and Applications.pdf 2.00M
| | | ├──AltCLIP Altering the Language Encoder in CLIP for Extended Language Capabilities.pdf 22.46M
| | | ├──An Image is Worth 16×16 Words Transformers for Image Recognition at Scale.pdf 3.57M
| | | ├──Autoformalization with Large Language Models.pdf 428.62kb
| | | ├──BaGuaLu targeting brain scale pretrained models with over 37 million cores.pdf 5.27M
| | | ├──Beyond the Imitation Game Quantifying and extrapolating the capabilities of language models.pdf 3.70M
| | | ├──BLIP Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation..pdf 1.24M
| | | ├──BLOOM A 176B-Parameter Open-Access Multilingual Language Model.pdf 2.89M
| | | ├──Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.pdf 870.87kb
| | | ├──Character-Aware Neural Language Models.pdf 469.17kb
| | | ├──Character-level Convolutional Networks for Text Classification.pdf 317.39kb
| | | ├──CodeGen An Open Large Language Model for Code with Multi-Turn Program Synthesis.pdf 729.77kb
| | | ├──CogView Mastering Text-to-Image Generation via Transformers.pdf 23.44M
| | | ├──COLD A Benchmark for Chinese Offensive Language Detection.pdf 3.09M
| | | ├──Colossal-AI A Unified Deep Learning System For Large-Scale Parallel Training.pdf 946.54kb
| | | ├──Compositional character models for open vocabulary word representation.pdf 329.90kb
| | | ├──Convolutional Neural Network for Sentence Classification.pdf 235.97kb
| | | ├──CPM A large-scale generative Chinese Pre-trained language model.pdf 442.81kb
| | | ├──DeepSpeed Data Efficiency Improving Deep Learning Model Quality and Training Efficiency via Efficient Data Sampling and Routing.pdf 926.58kb
| | | ├──Denoising Diffusion Implicit Models.pdf 10.35M
| | | ├──DiffusionDet Diffusion Model for Object Detection.pdf 9.53M
| | | ├──Discrete mean estimates and the Landau-Siegel zero.pdf 577.99kb
| | | ├──Efficient Estimation of Word Representation in Vector Space.pdf 223.36kb
| | | ├──Emergent Abilities of Large Language Models.pdf 823.15kb
| | | ├──ERNIE 3.0 Large-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.pdf 1.02M
| | | ├──ERNIE 3.0 Titan Exploring Larger-scale Knowledge Enhanced Pre-training for Language Understanding and Generation.pdf 1.10M
| | | ├──Evaluating Large Language Models Trained on Code.pdf 1.80M
| | | ├──Evolutionary-scale prediction of atomic level protein structure with a language model.pdf 1.28M
| | | ├──FastMoE A Fast Mixture-of-Expert Training System.pdf 737.90kb
| | | ├──Few-shot Learning with Multilingual Language Models.pdf 1.52M
| | | ├──Fine-mixing Mitigating Backdoors in Fine-tuned Language Models.pdf 1.48M
| | | ├──Fine-Tuning Language Models from Human Preferences.pdf 944.79kb
| | | ├──Foundation Transformers.pdf 722.58kb
| | | ├──Galactica A Large Language Model for Science.pdf 3.49M
| | | ├──Generating Sequences With Recurrent Neural Networks.pdf 3.34M
| | | ├──Generating Training Data with Language Models Towards Zero-Shot Language Understanding.pdf 963.40kb
| | | ├──GET3D A Generative Model of High Quality 3D Textured Shapes Learned from Images.pdf 36.28M
| | | ├──Git Re-Basin Merging Models modulo Permutation Symmetries.pdf 1.82M
| | | ├──GLM General Language Model Pretraining with Autoregressive Blank Infilling.pdf 836.16kb
| | | ├──GLM-130B An Open Bilingual Pre-trained Model.pdf 4.24M
| | | ├──GPT Understands, Too.pdf 1.51M
| | | ├──GPT-NeoX-20B An Open-Source Autoregressive Language Model.pdf 3.37M
| | | ├──Hierarchical Text-Conditional Image Generation with CLIP Latents.pdf 40.92M
| | | ├──High-Resolution Image Synthesis with Latent Diffusion Models.pdf 38.95M
| | | ├──Holistic Evaluation of Language Models.pdf 5.82M
| | | ├──How Much Knowledge Can You Pack Into the Parameters of a Language Model.pdf 303.31kb
| | | ├──Imagen Video High Definition Video Generation with Diffusion Models.pdf 8.48M
| | | ├──Improving Language Models by Retrieving from Trillions of Tokens.pdf 1.49M
| | | ├──Improving language understanding by generative pre training.pdf 528.36kb
| | | ├──InstructPix2Pix Learning to Follow Image Editing Instructions.pdf 10.14M
| | | ├──InternImage Exploring Large-Scale Vision Foundation Models with Deformable Convolutions.pdf 1.96M
| | | ├──KERPLE Kernelized Relative Positional Embedding for Length Extrapolation.pdf 800.30kb
| | | ├──Knowledgeable Prompt-tuning Incorporating Knowledge into Prompt Verbalizer for Text Classification.pdf 515.62kb
| | | ├──LAION-5B An open large-scale dataset for training next generation image-text models.pdf 16.87M
| | | ├──Language Models are Few-Shot Learners.pdf 6.45M
| | | ├──Language Models are Unsupervised Multitask Learners.pdf 569.12kb
| | | ├──Language Models as Knowledge Bases.pdf 335.19kb
| | | ├──Language Models as Zero-Shot Planners Extracting Actionable Knowledge for Embodied Agents.pdf 2.58M
| | | ├──Language models generalize beyond natural proteins.pdf 14.37M
| | | ├──Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners.pdf 1.84M
| | | ├──Learning Discrete Representations via Constrained Clustering for Effective and Efficient Dense Retrieval.pdf 3.67M
| | | ├──Learning to summarize from human feedback.pdf 1.59M
| | | ├──Learning Transferable Visual Models From Natural Language Supervision.pdf 6.50M
| | | ├──Masked Autoencoders Are Scalable Vision Learners.pdf 7.10M
| | | ├──Multi-Grained Vision Language Pre-Training Aligning Texts with Visual Concepts.pdf 21.76M
| | | ├──Muse Text-To-Image Generation via Masked Generative Transformers.pdf 10.14M
| | | ├──No Language Left Behind Scaling Human-Centered Machine Translation.pdf 7.72M
| | | ├──OFA Unifying Architectures, Tasks, and Modalities Through a Simple Sequence-to-Sequence Learning Framework..pdf 34.32M
| | | ├──OPT Open Pre-trained Transformer Language Models.pdf 1.68M
| | | ├──PAL Program-aided Language Models.pdf 1.13M
| | | ├──PaLI A Jointly-Scaled Multilingual Language-Image Model.pdf 2.14M
| | | ├──PaLM Scaling Language Modeling with Pathways.pdf 2.59M
| | | ├──PPT Pre-trained Prompt Tuning for Few-shot Learning.pdf 658.81kb
| | | ├──Pre-train, Prompt, and Predict A Systematic Survey of Prompting Methods in Natural Language Processing.pdf 11.76M
| | | ├──Prompt-and-Rerank A Method for Zero-Shot and Few-Shot Arbitrary Textual Style Transfer with Small Language Models.pdf 599.53kb
| | | ├──Red Teaming Language Models with Language Models.pdf 2.94M
| | | ├──Reducing Activation Recomputation in Large Transformer Models.pdf 2.91M
| | | ├──Retrieval Augmented Generation for.pdf 864.57kb
| | | ├──Score-Based Generative Modeling through Stochastic Differential Equations.pdf 25.67M
| | | ├──Sequence to Sequence Learning with Neural Networks.pdf 109.46kb
| | | ├──SGM Sequence Generation Model for Multi-label Classification.pdf 684.69kb
| | | ├──SmoothQuant Accurate and Efficient Post-Training Quantization for Large Language Models.pdf 5.11M
| | | ├──Solving Quantitative Reasoning Problems with Language Models.pdf 1.20M
| | | ├──Tensor Programs V Tuning Large Neural Networks via Zero-Shot Hyperparameter Transfer.pdf 3.05M
| | | ├──The Stability-Efficiency Dilemma Investigating Sequence Length Warmup for Training GPT Models.pdf 3.01M
| | | ├──Towards Efficient Post-training Quantization of Pre-trained Language Models.pdf 1.49M
| | | ├──Training Compute-Optimal Large Language Models.pdf 5.73M
| | | ├──Training language models to follow instructions with human feedback.pdf 1.71M
| | | ├──Training Language Models with Memory Augmentation.pdf 514.72kb
| | | ├──Transformer-Xl Attentive Language Models Beyond A Fixed-Length Context.pdf 4.36M
| | | ├──UL2 Unifying Language Learning Paradigms.pdf 888.01kb
| | | ├──UnifiedSKG Unifying and Multi-Tasking Structured Knowledge Grounding with Text-to-Text Language Models.pdf 1.75M
| | | ├──Versatile Diffusion Text, Images and Variations All in One Diffusion Model.pdf 22.30M
| | | ├──Video PreTraining (VPT) Learning to Act by Watching Unlabeled Online Videos.pdf 7.32M
| | | ├──Vision-Language Pre-Training with Triple Contrastive Learning.pdf 1.75M
| | | ├──WebGPT Browser-assisted question-answering with human feedback.pdf 1.42M
| | | ├──When Vision Transformers Outperform ResNets without Pre-training or Strong Data Augmentations.pdf 2.45M
| | | ├──Zero-Shot Text-to-Image Generation.pdf 9.66M
| | | └──Zero-Shot Video Question Answering via Frozen Bidirectional Language Models.pdf 3.55M
| | ├──20篇llm必读
| | | ├──AutoGen Enabling Next-Gen LLM.pdf 3.41M
| | | ├──AWQ Activation-aware Weight Quantization.pdf 5.35M
| | | ├──Can LLM Already Serve as A Database Interface.pdf 2.55M
| | | ├──CHATEVAL TOWARDS BETTER LLM-BASED EVALUATORS THROUGH MULTI-AGENT DEBATE.pdf 761.72kb
| | | ├──Jailbroken How Does LLM Safety Training Fail.pdf 442.95kb
| | | ├──Judging LLM-as-a-Judge.pdf 1.51M
| | | ├──Large language models (LLM) and ChatGPT what will the impact.pdf 545.99kb
| | | ├──Large Language Models are Few-shot Testers.pdf 617.31kb
| | | ├──LLM-Adapters An Adapter Family for Parameter-Efficient Fine-Tuning of.pdf 476.86kb
| | | ├──LLM-BL E N D E R Ensembling Large Language Models.pdf 2.91M
| | | ├──LLM-grounded Diffusion Enhancing Prompt Understanding of.pdf 15.56M
| | | ├──LLM-Pruner On the Structural Pruning.pdf 1.52M
| | | ├──NExT-GPT Any-to-Any Multimodal LLM.pdf 6.69M
| | | ├──OpenAGI When LLM Meets Domain Experts.pdf 11.45M
| | | ├──Song_LLM-Planner_Few-Shot_Grounded_Planning_for_Embodied_Agents_with_Large_Language_ICCV_2023_paper.pdf 926.89kb
| | | ├──The Internal State of an LLM Knows When It’s Lying.pdf 165.92kb
| | | ├──The RefinedWeb Dataset for Falcon LLM.pdf 1.08M
| | | ├──Why Johnny Can’t Prompt.pdf 2.23M
| | | ├──Wider and Deeper LLM Networks.pdf 1.96M
| | | └──X-LLM.pdf 4.09M
| | ├──50篇大型语言模型提示工程必读
| | | ├──A Comprehensive Survey of Hallucination Mitigation Techniques in Large Language Models.pdf 322.84kb
| | | ├──A Systematic Survey of Prompt Engineering in Large Language Models Techniques and Applications.pdf 237.92kb
| | | ├──A Systematic Survey of Prompt Engineering in Large Language Models- Techniques and Applications.pdf 237.92kb
| | | ├──A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.pdf 1.32M
| | | ├──Active Prompting with Chain-of-Thought for Large Language Models.pdf 914.57kb
| | | ├──ART- Automatic multi-step reasoning and tool-use for large language models.pdf 647.20kb
| | | ├──AUTOMATIC CHAIN OF THOUGHT PROMPTING IN LARGE LANGUAGE MODELS.pdf 814.78kb
| | | ├──Beyond Chain-of-Thought, Effective Graph-of-Thought Reasoning in Large Language Models.pdf 1.37M
| | | ├──Boosting Logical Reasoning in Large Language Models through a New.pdf 598.62kb
| | | ├──Chain of Code Reasoning with.pdf 2.93M
| | | ├──Chain of Code- Reasoning with a Language Model-Augmented Code Emulator.pdf 2.93M
| | | ├──CHAIN-OF-KNOWLEDGE- GROUNDING LARGE LANGUAGE MODELS VIA DYNAMIC KNOWLEDGE ADAPTING OVER HETEROGENEOUS SOURCES.pdf 1.79M
| | | ├──CHAIN-OF-NOTE- ENHANCING ROBUSTNESS IN RETRIEVAL-AUGMENTED LANGUAGE MODELS.pdf 533.85kb
| | | ├──CHAIN-OF-SYMBOL PROMPTING FOR SPATIAL RELATIONSHIPS IN LARGE LANGUAGE MODELS.pdf 454.62kb
| | | ├──CHAIN-OF-TABLE- EVOLVING TABLES IN THE REASONING CHAIN FOR TABLE UNDERSTANDING.pdf 1.56M
| | | ├──Chain-of-Thought Prompting Elicits Reasoning in Large Language Models.pdf 870.87kb
| | | ├──CHAIN-OF-VERIFICATION REDUCES HALLUCINATION IN LARGE LANGUAGE MODELS.pdf 1.07M
| | | ├──Contrastive Chain-of-Thought Prompting.pdf 3.33M
| | | ├──Enhancing Zero-Shot Chain-of-Thought Reasoning in Large Language Models through Logic.pdf 712.04kb
| | | ├──Exploring Visual Prompts for Adapting Large-Scale Models.pdf 3.13M
| | | ├──IMPLICIT CHAIN OF THOUGHT REASONING.pdf 254.89kb
| | | ├──Joint Prompt Optimization of Stacked LLMs.pdf 669.90kb
| | | ├──Language Models are Few-Shot Learners.pdf 6.45M
| | | ├──Large Language Model Guided Tree-of-Thought.pdf 388.93kb
| | | ├──LARGE LANGUAGE MODELS ARE HUMAN-LEVEL PROMPT ENGINEERS.pdf 3.90M
| | | ├──LARGE LANGUAGE MODELS AS OPTIMIZERS.pdf 1.52M
| | | ├──LARGE LANGUAGE MODELS AS TOOL MAKERS.pdf 1.01M
| | | ├──Large Language Models Understand and Can Be Enhanced by Emotional Stimuli.pdf 1.86M
| | | ├──LPML LLM-PROMPTING MARKUP LANGUAGE FOR.pdf 535.92kb
| | | ├──OlaGPT Empowering LLMs With Human-like Problem-Solving.pdf 5.74M
| | | ├──Pre-train, Prompt, and Predict- A Systematic Survey of Prompting Methods in Natural Language Processing.pdf 11.76M
| | | ├──Program of Thoughts Prompting- Disentangling Computation from Reasoning for Numerical Reasoning Tasks.pdf 2.86M
| | | ├──Prompt Engineering Through the Lens of Optimal.pdf 475.77kb
| | | ├──PROMPTBREEDER.pdf 799.96kb
| | | ├──Prompting in Autoregressive Large Language.pdf 1.22M
| | | ├──Prompting Is Programming A Query Language for.pdf 1.52M
| | | ├──REAC T- SYNERGIZING REASONING AND ACTING IN LANGUAGE MODELS.pdf 618.95kb
| | | ├──Rephrase and Respond- Let Large Language Models Ask Better Questions for Themselves.pdf 4.85M
| | | ├──Reprompting Automated Chain-of-Thought Prompt.pdf 2.15M
| | | ├──Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks.pdf 864.57kb
| | | ├──SELF-CONSISTENCY IMPROVES CHAIN OF THOUGHT REASONING IN LANGUAGE MODELS.pdf 10.02M
| | | ├──SHOW YOUR WORK- SCRATCHPADS FOR INTERMEDIATE COMPUTATION WITH LANGUAGE MODELS.pdf 399.03kb
| | | ├──Structured Chain-of-Thought Prompting for Code Generation.pdf 824.50kb
| | | ├──System 2 Attention (is something you might need too).pdf 575.63kb
| | | ├──TAKE A STEP BACK- EVOKING REASONING VIA ABSTRACTION IN LARGE LANGUAGE MODELS.pdf 954.37kb
| | | ├──Thread of Thought Unraveling Chaotic Contexts.pdf 1.13M
| | | ├──Tree of Thoughts- Deliberate Problem Solving with Large Language Models.pdf 780.94kb
| | | ├──Unleashing the potential of prompt engineering in Large Language Models- a comprehensive review.pdf 441.88kb
| | | ├──UPAR A KANTIAN-INSPIRED PROMPTING FRAME.pdf 944.63kb
| | | └──Visual ChatGPT- Talking, Drawing and Editing with Visual Foundation Models.pdf 2.34M
| | ├──AAAI 2024 111篇
| | | ├──Ada-Ranker A Data Distribution Adaptive Ranking Paradigm.pdf 4.12M
| | | ├──AE-NeRF：Audio Enhanced Neural Radiance Field for Few Shot Talking Head Synthesis.pdf 6.70M
| | | ├──AI-Based Energy Transportation Safety：Pipeline Radial Threat.pdf 2.25M
| | | ├──An Attentive Inductive Bias for Sequential Recommendation.pdf 842.47kb
| | | ├──AT4CTR Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction.pdf 1.19M
| | | ├──Augmented Negative Sampling for Collaborative Filtering.pdf 942.14kb
| | | ├──BadRL：Sparse Targeted Backdoor Attack Against Reinforcement Learning.pdf 858.40kb
| | | ├──Bi-directional Adapter for Multi-modal Tracking.pdf 1.32M
| | | ├──Big Learning Expectation Maximization.pdf 5.92M
| | | ├──Blind-Touch：Homomorphic Encryption-Based Distributed Neural Network.pdf 1.00M
| | | ├──Brush Your Text：Synthesize Any Scene Text on Images via Diffusion Model.pdf 20.24M
| | | ├──Cached Transformers：Improving Transformers with Differentiable Memory.pdf 1.27M
| | | ├──Cautiously-Optimistic Knowledge Sharing for Cooperative Multi-Agent Reinforcement Learning.pdf 6.18M
| | | ├──Chasing Fairness in Graphs： A GNN Architecture Perspective.pdf 1.54M
| | | ├──CI-STHPAN Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph.pdf 1.96M
| | | ├──Competition among Pairwise Lottery Contests.pdf 364.34kb
| | | ├──Continuous Time Graph Representation with Sequential Survival Process.pdf 36.55M
| | | ├──ContraNovo：A Contrastive Learning Approach to Enhance De Novo Peptide.pdf 2.33M
| | | ├──COOPER： Coordinating Specialized Agents towards a Complex Dialogue Goal.pdf 514.71kb
| | | ├──CORECODE： A Common Sense Annotated Dialogue Dataset with Benchmark.pdf 4.76M
| | | ├──Coreference Graph Guidance for Mind-Map Generation.pdf 705.60kb
| | | ├──CR-SAM： Curvature Regularized Sharpness-aware Minimization.pdf 890.38kb
| | | ├──Curriculum Learning and Imitation Learning for Model-free Control on Financial Time-series.pdf 7.68M
| | | ├──DataElixir：Purifying Poisoned Dataset to Mitigate Backdoor Attacks.pdf 6.47M
| | | ├──Distributional Off-Policy Evaluation for Slate Recommendations.pdf 255.09kb
| | | ├──Domain Invariant Learning for Gaussian Processes and Bayesian.pdf 4.70M
| | | ├──Doubly Perturbed Task Free Continual Learning.pdf 2.99M
| | | ├──EarnHFT Efficient Hierarchical Reinforcement Learning for High Frequency Trading.pdf 885.86kb
| | | ├──EarthVQA：Towards Queryable Earth via Relational Reasoning-Based Remote.pdf 6.18M
| | | ├──ECHO-GL Earnings Calls-Driven Heterogeneous Graph Learning for Stock.pdf 1.54M
| | | ├──EFFECT SIZE ESTIMATION FOR DURATION RECOMMENDATION.pdf 436.49kb
| | | ├──Effectiveness of Constant Stepsize in Markovian LSA and Statistical.pdf 649.20kb
| | | ├──Emotion Rendering for Conversational Speech Synthesis with Heterogeneous Graph-Based Context Modeling.pdf 1.09M
| | | ├──Enhancing Job Recommendation through.pdf 1.10M
| | | ├──Entropic Open-set Active Learning.pdf 6.13M
| | | ├──Envy-free House Allocation under Uncertainty Preferences.pdf 285.31kb
| | | ├──Estimation of individual causal effects in network setup for multiple.pdf 182.10kb
| | | ├──Explaining Reinforcement Learning Agents Through Counterfactual Action Outcomes.pdf 1.57M
| | | ├──Exploring Gradient Explosion in Generative Adversarial Imitation.pdf 7.91M
| | | ├──Exploring Large Language Model for Graph Data Understanding.pdf 584.33kb
| | | ├──FedDiv：Collaborative Noise Filtering for Federated Learning with Noisy Labels.pdf 766.42kb
| | | ├──Federated Learning with Extremely Noisy Clients via Negative Distillation.pdf 1.73M
| | | ├──Few-shot Part Segmentation Reveals Compositional Logic for Industrial.pdf 2.57M
| | | ├──Fine-Grained Knowledge Selection and Restoration for Non-exemplar.pdf 825.41kb
| | | ├──Fine-tuning Graph Neural Networks by Preserving Graph Generative.pdf 8.77M
| | | ├──Fluctuation-based Adaptive Structured Pruning for Large Language.pdf 1.30M
| | | ├──FontDiffuser： One-Shot Font Generation via Denoising Diffusion with.pdf 6.33M
| | | ├──FontDiffuser：One-Shot Font Generation via Denoising Diffusion with Multi-Scale Content Aggregation and Style Contrastive Learning.pdf 6.33M
| | | ├──Foreseeing Reconstruction Quality of Gradient Inversion.pdf 2.46M
| | | ├──Fortify Your Defenses：Strategic Allocation to Enhance Defense Grid.pdf 3.09M
| | | ├──H-ensemble： An Information Theoretic Approach to Reliable Few-Shot.pdf 498.98kb
| | | ├──Hierarchical and Incremental Structural Entropy Minimization for Unsupervised Social Event Detection.pdf 1022.25kb
| | | ├──HuTuMotion：Human-Tuned Motion of Latent Motion Diffusions with.pdf 3.64M
| | | ├──Identification of Causal Structure in the Presence of Missing Data with Additive.pdf 885.43kb
| | | ├──Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants.pdf 524.66kb
| | | ├──Imitation of Life：A Search Engine for Biologically Inspired Design.pdf 3.37M
| | | ├──Inducing Point Operator Transformer：A Flexible and Scalable Architecture for Solving PDEs.pdf 7.89M
| | | ├──IS-DARTS：Stabilizing DARTS through Precise Measurement.pdf 592.26kb
| | | ├──Knowledge Graph Error Detection with Contrastive Confidence Adaption.pdf 436.18kb
| | | ├──LAMM：Label Alignment for Multi-Modal Prompt Learning.pdf 1007.48kb
| | | ├──Learning Domain-Independent Heuristics for Grounded and Lifted Planning.pdf 507.06kb
| | | ├──Learning Fair Policies for Multi-stage Problem Solving from.pdf 1.54M
| | | ├──Learning Human-like Representations to Enable Learning Human Values.pdf 654.99kb
| | | ├──Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing.pdf 8.95M
| | | ├──LGMRec Local and Global Graph Learning for Multimodal Recommendation.pdf 17.07M
| | | ├──Market-GAN Adding Control to Financial Market Data Generation with.pdf 7.36M
| | | ├──MASTER：Market-Guided Stock Transformer for Stock Price Forecasting.pdf 440.74kb
| | | ├──MDGNN：Multi-Relational Dynamic Graph Neural Network for Comprehensive and Dynamic Stock Investment Prediction.pdf 1.04M
| | | ├──MESED： A Multi-modal Entity Set Expansion Dataset with Fine-grained Semantic Classes and Hard Negative Entities.pdf 4.52M
| | | ├──MmAP：Multi-modal Alignment Prompt for Cross-domain Multi-task Learning.pdf 1.58M
| | | ├──No More Shortcuts：Realizing the Potential of Temporal Self-Supervision.pdf 38.56M
| | | ├──No prejudice! Fair Federated Graph Neural Networks for Personalized.pdf 1.45M
| | | ├──Non-Excludable Bilateral Trade Between Groups.pdf 447.37kb
| | | ├──On Partial Optimal Transport：Revising the Infeasibility of Sinkhorn.pdf 3.88M
| | | ├──On the Role of Server Momentum in Federated Learning.pdf 837.49kb
| | | ├──OVD-Explorer：Optimism Should Not Be the Sole Pursuit of Exploration.pdf 2.45M
| | | ├──Parallel Ranking of Ads and Creative Services for Real-time.pdf 2.21M
| | | ├──Peer Learning Learning Complex Policies in Groups from Scratch via Action.pdf 566.99kb
| | | ├──Point Cloud Part Editing：Segmentation, Generation, Assembly, and.pdf 8.06M
| | | ├──PPEA-Depth：Progressive Parameter-efficient Adaptation for.pdf 1.73M
| | | ├──Probabilistic Offline Policy Ranking with Approximate Bayesian.pdf 6.56M
| | | ├──Progressive Poisoned Data Isolation for Training-time Backdoor Attack.pdf 3.86M
| | | ├──Protect Your Score： Contact Tracing with Differential Privacy.pdf 591.27kb
| | | ├──Provably Convergent Federated Trilevel Learning.pdf 505.61kb
| | | ├──Q-SENN： Quantized Self-explaining Neural Networks.pdf 52.04M
| | | ├──RadOcc：Learning Cross-Modality Occupancy Knowledge through Rendering.pdf 9.15M
| | | ├──Regulating Intermediate 3D Features for Vision-Centric Autonomous.pdf 13.92M
| | | ├──Robust Active Measuring under Model Uncertainty.pdf 746.28kb
| | | ├──Robust Loss Functions for Training Decision Trees with Noisy Labels.pdf 652.08kb
| | | ├──Roll With the Punches：Expansion and Shrinkage of Soft Label Selection.pdf 4.09M
| | | ├──Root Cause Explanation of Outliers under Noisy Mechanisms.pdf 292.84kb
| | | ├──Scalable Geometric Fracture Assembly via Co-creation Space among Assemblers.pdf 13.31M
| | | ├──SeGA：Preference-Aware Self-Contrasting Learning with Prompts for.pdf 1.01M
| | | ├──Signed Graph Neural Ordinary Differential Equation for Modeling.pdf 3.23M
| | | ├──Spectral-based Graph Neutral Networks for Complementary Item.pdf 3.34M
| | | ├──STEM Unleashing the Power of Embeddings for Multi-task Recommendation.pdf 1.53M
| | | ├──Structure-CLIP：Towards Scene Graph Knowledge to Enhance Multi-modal Structured Representations.pdf 12.63M
| | | ├──Successive POI Recommendation via Brain-inspired Spatiotemporal Aware Representation.pdf 1.34M
| | | ├──Temporally and Distributionally Robust Optimization for Cold-start.pdf 1.04M
| | | ├──Text2Analysis：A Benchmark of Table Question Answering with Advanced.pdf 904.39kb
| | | ├──Token-Level Contrastive Learning with Modality-Aware Prompting for Multimodal Intent Recognition.pdf 768.43kb
| | | ├──Topic Shifts as a Proxy for Assessing Politicization in Social Media.pdf 325.88kb
| | | ├──Towards Efficient Verification of Quantized Neural Networks.pdf 7.13M
| | | ├──Towards Fairness in Online Service with k Servers and its Application.pdf 360.58kb
| | | ├──Uncertainty Quantification for Data-Driven Change-Point Learning via.pdf 397.37kb
| | | ├──Unified framework for diffusion generative models in SO(3).pdf 10.95M
| | | ├──Upper Bounding Barlow Twins：A Novel Filter for Multi-relational.pdf 2.17M
| | | ├──VITA ‘Carefully Chosen and Weighted Less’ Is Better.pdf 731.35kb
| | | ├──VITA：Carefully Chosen and Weighted Less Is Better in Medication.pdf 731.35kb
| | | ├──Weakly Supervised Open-Vocabulary Object Detection.pdf 1.85M
| | | └──When Model Meets New Normals：Test-Time Adaptation for Unsupervised.pdf 7.10M
| | ├──Code Llama论文（5月最新+内含24篇）
| | | ├──1 Code Llama 论文&源码
| | | ├──2 LLaMA 1、2 论文&源码
| | | └──3 Code Llama 其他相关论文
| | ├──CVPR 2024 (持续更新）
| | | ├──1 CVPR’24 获奖论文
| | | ├──2 CVPR’24 最佳论文提名（更新完毕）
| | | ├──3 CVPR’24 oral论文（更新完毕）
| | | └──4 CVPR’24 highlight论文（更新中）
| | ├──CVPR 2024 (最佳+oral+highlight）(持续更新）
| | | ├──1 CVPR’24 获奖论文
| | | ├──2 CVPR’24 最佳论文提名（更新完毕）
| | | ├──3 CVPR’24 oral论文（更新完毕）
| | | └──4 CVPR’24 highlight论文（更新中）
| | ├──ECCV24 收录论文83篇（更新中）
| | | ├──推荐工作
| | | ├──A Task is Worth One Word：Learning with Task Prompts for High-Quality Versatile Image Inpainting.pdf 22.96M
| | | ├──AdaDistill：Adaptive Knowledge Distillation for Deep Face Recognition.pdf 1.19M
| | | ├──Agent3D-Zero： An automatic agent leverages VLM for zero-shot 3D understanding.pdf 5.28M
| | | ├──Align, Minimize and Diversify A Source-Free Unsupervised Domain Adaptation Method for Handwritten Text Recognition.pdf 1.77M
| | | ├──An Image is Worth 1`2 Tokens After Layer 2：Plug and Play Inference Acceleration for Large Vision Language Models.pdf 5.90M
| | | ├──AnyLens：A Generative Diffusion Model with Any Rendering Lens.pdf 18.63M
| | | ├──BLINK：Multimodal Large Language Models Can See but Not Perceive.pdf 12.29M
| | | ├──Bridging Different Language Models and Generative Vision Models for Text-to-Image Generation.pdf 17.03M
| | | ├──CityGaussian：Real-time High-quality Large-Scale Scene Rendering with Gaussians.pdf 9.14M
| | | ├──ClusteringSDF：Self-Organized Neural Implicit Surfaces for 3D Decomposition.pdf 11.34M
| | | ├──CoLLaVO：Crayon Large Language and Vision mOdel.pdf 3.33M
| | | ├──Compact3D：Smaller and Faster Gaussian Splatting with Vector Quantization.pdf 19.94M
| | | ├──Contrastive Region Guidance：Improving Grounding in Vision-Language Models without Training.pdf 8.10M
| | | ├──Controllable Human-Object Interaction Synthesis.pdf 3.37M
| | | ├──DATENeRF：Depth-Aware Text-based Editing of NeRFs.pdf 27.19M
| | | ├──DenseNets Reloaded：Paradigm Shift Beyond ResNets and ViTs.pdf 2.64M
| | | ├──DGInStyle：Domain Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control.pdf 12.98M
| | | ├──Discovering Novel Actions from Open World Egocentric Videos with Object-Grounded Visual Commonsense Reasoning.pdf 2.15M
| | | ├──DragAnything：Motion Control for Anything.pdf 41.49M
| | | ├──DragAPart：Learning a Part-Level Motion Prior for Articulated Objects.pdf 4.09M
| | | ├──DragVideo：Interactive Drag-style Video Editing.pdf 19.21M
| | | ├──DreamMotion：Space-Time Self-Similarity Score Distillation for Zero-Shot Video Editing.pdf 46.21M
| | | ├──DreamReward：Text-to-3D Generation with Human Preference.pdf 4.90M
| | | ├──Dyadic Interaction Modeling for Social Behavior Generation.pdf 1.93M
| | | ├──E.T. the Exceptional Trajectories：Text-to-camera-trajectory generation with character awareness.pdf 20.19M
| | | ├──Empowering 3D Visual Grounding with Reasoning Capabilities.pdf 8.97M
| | | ├──EvAC3D From Event-based Apparent Contours to 3D Models via Continuous Visual Hulls.pdf 5.84M
| | | ├──FreeInit：Bridging Initialization Gap in Video Diffusion Models.pdf 19.81M
| | | ├──GalLoP：Learning Global and Local Prompts.pdf 13.84M
| | | ├──GiT：Towards Generalist Vision Transformer through Universal Language Interface.pdf 2.93M
| | | ├──GLAD： Towards Better Reconstruction with Global and Local Adaptive Diffusion Models for Unsupervised Anomaly Detection.pdf 13.96M
| | | ├──GScream：Learning 3D Geometry and Feature Consistent Gaussian Splatting for Object Removal.pdf 15.65M
| | | ├──GVGEN：A text-to-GS generation framework with volumetric representation.pdf 17.78M
| | | ├──HYPE：Hyperbolic Entailment Filtering for Underspecified Images and Texts.pdf 4.26M
| | | ├──Introducing HOT3D：An Egocentric Dataset for 3D Hand and Object Tracking.pdf 9.03M
| | | ├──LA3 Efficient Label-Aware AutoAugment.pdf 4.54M
| | | ├──Learning Neural Volumetric Pose Features for Camera Localization.pdf 5.07M
| | | ├──Listen to Look into the Future：Audio-Visual Egocentric Gaze Anticipation.pdf 6.01M
| | | ├──ManiGaussian：Dynamic Gaussian Splatting for Multi-task Robotic Manipulation.pdf 2.10M
| | | ├──Map-free Visual Relocalization：Metric Pose Relative to a Single Image.pdf 15.21M
| | | ├──MIPI 2024 Challenge on Demosaic for Hybridevs Camera： Methods and Results.pdf 5.72M
| | | ├──Mismatch Quest：Visual and Textual Feedback for Image-Text Misalignment.pdf 6.71M
| | | ├──MixDQ：Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization.pdf 16.10M
| | | ├──MoAI：Mixture of All Intelligence for Large Language and Vision Models.pdf 6.57M
| | | ├──Modality Translation for Object Detection Adaptation Without Forgetting Prior Knowledge.pdf 36.70M
| | | ├──MOTIONDIRECTOR：MOTION CUSTOMIZATION OF TEXT-TO-VIDEO DIFFUSION MODELS.pdf 37.37M
| | | ├──MotionLCM：Real-time Controllable Motion Generation via Latent Consistency Model.pdf 1.66M
| | | ├──MVSplat：Efficient 3D Gaussian Splatting from Sparse Multi-View Images.pdf 5.18M
| | | ├──N2F2：Hierarchical Scene Understanding with Nested Neural Feature Fields.pdf 29.06M
| | | ├──Neural Graphics Texture Compression Supporting Random Access.pdf 43.70M
| | | ├──NIGHT – Non-Line-of-Sight Imaging from Indirect Time of Flight Data.pdf 12.10M
| | | ├──Object-Centric Diffusion for Efficient Video Editing.pdf 4.77M
| | | ├──Open-Vocabulary SAM：Segment and Recognize Twenty-thousand Classes Interactively.pdf 5.85M
| | | ├──PaPr Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference.pdf 40.58M
| | | ├──PEAVS：Perceptual Evaluation of Audio-Visual Synchrony Grounded in Viewers’ Opinion Scores.pdf 7.47M
| | | ├──Pix2Gif：Motion-Guided Diffusion for GIF Generation.pdf 13.26M
| | | ├──PointLLM：Empowering Large Language Models to Understand Point Clouds.pdf 8.81M
| | | ├──Prompt Federated Learning for Weather Forecasting：Toward Foundation Models on Meteorological Data.pdf 1.43M
| | | ├──Pyramid Diffusion for Fine 3D Large Scene Generation.pdf 37.96M
| | | ├──Rasterized Edge Gradients：Handling Discontinuities Differentiably.pdf 26.95M
| | | ├──Robo-ABC：Affordance Generalization Beyond Categories via Semantic Correspondence for Robot Manipulation.pdf 13.39M
| | | ├──SALVe： Semantic Alignment Verification for Floorplan Reconstruction from Sparse Panoramas.pdf 27.57M
| | | ├──ScanTalk：3D Talking Heads from Unregistered Scans.pdf 15.18M
| | | ├──Self-Rectifying Diffusion Sampling with Perturbed-Attention Guidance.pdf 27.19M
| | | ├──SpecFormer Guarding Vision Transformer Robustness via Maximum Singular Value Penalization.pdf 1.01M
| | | ├──SuperGaussian：Repurposing Video Models for 3D Super Resolution.pdf 18.59M
| | | ├──T-Rex2： Towards Generic Object Detection via Text-Visual Prompt Synergy.pdf 26.97M
| | | ├──Towards Multimodal Open-Set Domain Generalization and Adaptation through Self-supervision.pdf 1.64M
| | | ├──Training Full Spike Neural Networks via Auxiliary Accumulation Pathway.pdf 1.69M
| | | ├──TriNeRFLet：A Wavelet Based Multiscale Triplane NeRF Representation.pdf 10.75M
| | | ├──UniDream：UnifyingDiffusionPriorsforRelightableText-to-3DGeneration.pdf 10.71M
| | | ├──VITATECS：A Diagnostic Dataset for Temporal Concept Understanding of Video-Language Models.pdf 3.77M
| | | ├──WordRobe：Text-Guided Generation of Textured 3D Garments.pdf 30.45M
| | | └──ZeST：Zero-Shot Material Transfer from a Single Image.pdf 15.74M
| | ├──EMNLP 19篇
| | | ├──IMTLab：用于构建、评估和诊断交互式机器翻译系统的开源平台.pdf 887.34kb
| | | ├──RAPL：一种用于少样本文档级关系提取的关系感知原型学习方法.pdf 577.12kb
| | | ├──ROBBIE：大型生成语言模型的鲁棒偏差评估.pdf 1.02M
| | | ├──SODA：具有社会常识语境化的百万级对话提炼.pdf 1.27M
| | | ├──TopWORDS-Poetry：基于贝叶斯推理的中国古典诗歌同步文本分割和单词发现.pdf 2.45M
| | | ├──大型语言模型可以自我改进.pdf 419.54kb
| | | ├──混合倒挂索引是用于密集检索的鲁棒加速器.pdf 649.79kb
| | | ├──驾驭灰色地带：不确定性和过度自信的表达如何影响语言模型.pdf 944.19kb
| | | ├──具有 Wasserstein 独立性的公平文本分类.pdf 618.97kb
| | | ├──了解模型压缩对大型语言模型中社会偏见的影响.pdf 5.48M
| | | ├──凝聚力：生成文本连贯性的增量与整体评估的新基准.pdf 742.19kb
| | | ├──使用大型语言模型进行可解释的心理健康分析.pdf 1000.32kb
| | | ├──视觉、机器人技术及其他领域的语言基础.pdf 7.41M
| | | ├──通过对NLP领域学术写作的对比分析来解决语言偏见.pdf 417.80kb
| | | ├──通过概念化来解释嵌入空间.pdf 560.32kb
| | | ├──学习用于多模态失语症类型检测的共同语音手势.pdf 2.14M
| | | ├──用语言模型进行推理就是用世界模型进行规划.pdf 714.83kb
| | | ├──重新审视机器翻译的跨语言分类.pdf 295.85kb
| | | └──自然语言生成的主动学习.pdf 2.12M
| | ├──ICLR 2024
| | | └──【时间检验奖】Auto-Encoding Variational Bayes.pdf 3.74M
| | ├──ICLR 2024（更新中）
| | | ├──3D-LLM：Injecting the 3D World into Large Language Models.pdf 16.87M
| | | ├──A Decomposable Causal View of Compositional Zero-Shot Learning.pdf 1.50M
| | | ├──AlpacaFarm：A Simulation Framework for Methods that Learn from Human Feedback.pdf 1.32M
| | | ├──Any-to-Any Generation via Composable Diffusion.pdf 3.32M
| | | ├──AR-Diffusion：Auto-Regressive Diffusion Model for Text Generation.pdf 892.59kb
| | | ├──Are aligned neural networks adversarially aligned.pdf 1.23M
| | | ├──Are Emergent Abilities of Large Language Models a Mirage.pdf 1.82M
| | | ├──Augmenting Language Models with Long-Term Memory.pdf 666.85kb
| | | ├──Bridging Discrete and Backpropagation：Straight-Through and Beyond.pdf 4.44M
| | | ├──Can Language Models Solve Graph Problems in Natural Language.pdf 608.61kb
| | | ├──Cappy：Outperforming and Boosting Large Multi-Task LMs with a Small Scorer.pdf 822.60kb
| | | ├──Chameleon：Plug-and-Play Compositional Reasoning with Large Language Models.pdf 1.81M
| | | ├──Cheap and Quick：Efficient Vision-Language Instruction Tuning for Large Language Models.pdf 3.07M
| | | ├──Convolutions Die Hard：Open-Vocabulary Segmentation with Single Frozen Convolutional CLIP.pdf 2.67M
| | | ├──DaTaSeg：Taming a Universal Multi-Dataset Multi-Task Segmentation Model.pdf 10.66M
| | | ├──Deductive Verification of Chain-of-Thought Reasoning.pdf 494.41kb
| | | ├──DiffComplete：Diffusion-based Generative 3D Shape Completion.pdf 16.66M
| | | ├──Differentiable Blocks World：Qualitative 3D Decomposition by Rendering Primitives.pdf 9.70M
| | | ├──Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning.pdf 2.96M
| | | ├──Direct Preference Optimization：Your Language Model is Secretly a Reward Model.pdf 1.24M
| | | ├──Does Graph Distillation See Like Vision Dataset Counterpart.pdf 3.89M
| | | ├──DoReMi：Optimizing Data Mixtures Speeds Up Language Model Pretraining.pdf 6.83M
| | | ├──DPM-Solver-v3：Improved Diffusion ODE Solver with Empirical Model Statistics.pdf 32.17M
| | | ├──Efficient Diffusion Policies for Offline Reinforcement Learning.pdf 599.26kb
| | | ├──Elastic Decision Transformer.pdf 1.57M
| | | ├──EmbodiedGPT：Vision-Language Pre-Training via Embodied Chain of Thought.pdf 2.09M
| | | ├──EvoPrompting：Language Models for Code-Level Neural Architecture Search.pdf 1.03M
| | | ├──Fairness-guided Few-shot Prompting for Large Language Models.pdf 1.33M
| | | ├──Fine-Grained Human Feedback Gives Better Rewards for Language Model Training.pdf 2.34M
| | | ├──Fine-Tuning Language Models with Just Forward Passes.pdf 705.08kb
| | | ├──Flocks of Stochastic Parrots：Differentially Private Prompt Learning for Large Language Models.pdf 787.27kb
| | | ├──Focused Transformer：Contrastive Training for Context Scaling.pdf 800.74kb
| | | ├──Foundation Model is Efficient Multimodal Multitask Model Selector.pdf 1.43M
| | | ├──GPT4Tools：Teaching Large Language Model to Use Tools via Self-instruction.pdf 1023.39kb
| | | ├──Grammar Prompting for Domain-Specific Language Generation with Large Language Models.pdf 355.97kb
| | | ├──Guiding Large Language Models via Directional Stimulus Prompting.pdf 1.13M
| | | ├──Hierarchical Integration Diffusion Model for Realistic Image Deblurring.pdf 3.85M
| | | ├──How to Turn Your Knowledge Graph Embeddings into Generative Models.pdf 2.68M
| | | ├──HuggingGPT：Solving AI Tasks with ChatGPT and its Friends in HuggingFace.pdf 3.06M
| | | ├──HyenaDNA：Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution.pdf 2.29M
| | | ├──ImageReward：Learning and Evaluating Human Preferences for Text-to-Image Generation.pdf 16.63M
| | | ├──Improving CLIP Training with Language Rewrites.pdf 1.34M
| | | ├──In-Context Impersonation Reveals Large Language Models’ Strengths and Biases.pdf 2.08M
| | | ├──Inference-Time Intervention：Eliciting Truthful Answers from a Language Model.pdf 1.90M
| | | ├──InstructBLIP：Towards General-purpose Vision-Language Models with Instruction Tuning.pdf 3.58M
| | | ├──Is Your Code Generated by ChatGPT Really Correct Rigorous Evaluation of Large Language Models for Code Generation.pdf 855.80kb
| | | ├──Language Is Not All You Need：Aligning Perception with Language Models.pdf 3.57M
| | | ├──Language models are weak learners.pdf 872.62kb
| | | ├──Language Models Don’t Always Say What They Think：Unfaithful Explanations in Chain-of-Thought Prompting.pdf 747.59kb
| | | ├──Language Models Meet World Models：Embodied Experiences Enhance Language Models.pdf 2.51M
| | | ├──Large Language Models as Commonsense Knowledge for Large-Scale Task Planning.pdf 6.89M
| | | ├──Large Language Models of Code Fail at Completing Code with Potential Bugs.pdf 1.30M
| | | ├──LayoutPrompter：Awaken the Design Ability of Large Language Models.pdf 8.51M
| | | ├──Learning Large Graph Property Prediction via Graph Segment Training.pdf 554.20kb
| | | ├──Learning to Tokenize for Generative Retrieval.pdf 962.39kb
| | | ├──LIMA：Less Is More for Alignment.pdf 488.01kb
| | | ├──MarioGPT：Open-Ended Text2Level Generation through Large Language Models.pdf 1.64M
| | | ├──MEGABYTE：Predicting Million-byte Sequences with Multiscale Transformers.pdf 895.94kb
| | | ├──Memory Efficient Optimizers with 4-bit States.pdf 12.37M
| | | ├──Memory-Efficient Fine-Tuning of Compressed Large Language Models via sub-4-bit Integer Quantization.pdf 696.37kb
| | | ├──Meta In-Context Learning：Harnessing Large Language Models for Electrical Data Classification.pdf 602.67kb
| | | ├──MotionGPT：Human Motion as a Foreign Language.pdf 4.18M
| | | ├──MVDiffusion：Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion.pdf 26.18M
| | | ├──No Train No Gain：Revisiting Efficient Training Algorithms For Transformer-based Language Models.pdf 1.26M
| | | ├──One-2-3-45：Any Single Image to 3D Mesh in 45 Seconds without Per-Shape Optimization.pdf 23.59M
| | | ├──ProlificDreamer：High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation.pdf 14.98M
| | | ├──Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition.pdf 3.85M
| | | ├──ProPILE：Probing Privacy Leakage in Large Language Models.pdf 3.90M
| | | ├──QLoRA：Efficient Finetuning of Quantized LLMs.pdf 1.02M
| | | ├──RAPHAEL：Text-to-Image Generation via Large Mixture of Diffusion Paths.pdf 19.65M
| | | ├──Recommender Systems with Generative Retrieval.pdf 2.30M
| | | ├──Reflexion：language agents with verbal reinforcement learning.pdf 577.24kb
| | | ├──Reverse Engineering Self-Supervised Learning.pdf 3.21M
| | | ├──RRHF：Rank Responses to Align Language Models with Human Feedback without tears.pdf 543.88kb
| | | ├──Sample-efficient Multi-objective Molecular Optimization with GFlowNets.pdf 920.69kb
| | | ├──SANeRF-HQ：Segment Anything for NeRF in High Quality.pdf 12.89M
| | | ├──Scaling Data-Constrained Language Models.pdf 1.83M
| | | ├──Segment Everything Everywhere All at Once.pdf 13.50M
| | | ├──Self-Refine：Iterative Refinement with Self-Feedback.pdf 1.49M
| | | ├──SheetCopilot：Bringing Software Productivity to the Next Level through Large Language Models.pdf 10.09M
| | | ├──SimMTM：A Simple Pre-Training Framework for Masked Time-Series Modeling.pdf 2.98M
| | | ├──Simple and Controllable Music Generation.pdf 563.14kb
| | | ├──SnapFusion：Text-to-Image Diffusion Model on Mobile Devices within Two Seconds.pdf 23.72M
| | | ├──Stable and low-precision training for large-scale vision-language models.pdf 6.80M
| | | ├──STEVE-1：A Generative Model for Text-to-Behavior in Minecraft.pdf 4.26M
| | | ├──SwiftSage：A Generative Agent with Fast and Slow Thinking for Complex Interactive Tasks.pdf 2.41M
| | | ├──Symbolic Discovery of Optimization Algorithms.pdf 1.48M
| | | ├──Tailoring Self-Attention for Graph via Rooted Subtrees.pdf 827.06kb
| | | ├──Textually Pretrained Speech Language Models.pdf 611.25kb
| | | ├──The Surprising Effectiveness of Diffusion Models for Optical Flow and Monocular Depth Estimation.pdf 23.78M
| | | ├──Toolformer：Language Models Can Teach Themselves to Use Tools.pdf 642.54kb
| | | ├──ToolkenGPT：Augmenting Frozen Language Models with Massive Tools via Tool Embeddings.pdf 667.76kb
| | | ├──Towards Label Position Bias in Graph Neural Networks.pdf 2.15M
| | | ├──Towards Revealing the Mystery behind Chain of Thought：a Theoretical Perspective.pdf 795.36kb
| | | ├──Training Transformers with 4-bit Integers.pdf 3.89M
| | | ├──Transformers learn through gradual rank increase.pdf 2.18M
| | | ├──Tree of Thoughts：Deliberate Problem Solving with Large Language Models.pdf 748.36kb
| | | ├──UniControl：A Unified Diffusion Model for Controllable Visual Generation In the Wild.pdf 18.69M
| | | ├──Unlimiformer：Long-Range Transformers with Unlimited Length Input.pdf 429.13kb
| | | ├──VanillaNet：the Power of Minimalism in Deep Learning.pdf 675.83kb
| | | ├──Vision-Flan：Scaling Human-Labeled Tasks in Visual Instruction Tuning.pdf 9.91M
| | | ├──VisionLLM：Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks.pdf 1.16M
| | | ├──VisorGPT：Learning Visual Prior via Generative Pre-Training.pdf 32.49M
| | | ├──Voicebox：Text-Guided Multilingual Universal Speech Generation at Scale.pdf 1.92M
| | | ├──White-Box Transformers via Sparse Rate Reduction.pdf 42.24M
| | | └──Zero-shot Visual Relation Detection via Composite Visual Cues from Large Language Models.pdf 2.19M
| | ├──ICML 2024 67篇
| | | ├──ICML’23
| | | ├──ICML’24 oral（更新中）
| | | └──ICML’24 最佳论文+时间检验奖
| | ├──LISA：大模型微调40篇
| | | ├──CaMML：适用于大型模型的情境感知多模态学习器.pdf 7.85M
| | | ├──Compacter：高效的低秩超复杂适配器层.pdf 705.05kb
| | | ├──DoRA- Weight-Decomposed Low-Rank Adaptation.pdf 589.92kb
| | | ├──Genixer：将多模态大型语言模型赋能为强大的数据生成器提供支持.pdf 4.34M
| | | ├──GlitchBench：大型多模态模型可以检测视频游戏故障吗？.pdf 6.88M
| | | ├──HyperPELT：针对语言和视觉与语言任务的统一参数高效语言模型调优.pdf 494.94kb
| | | ├──InfMLLM：可视化语言任务的统一框架.pdf 3.25M
| | | ├──InstructBLIP：通过指令调整实现通用视觉语言模型.pdf 3.60M
| | | ├──LISA： Layerwise Importance Sampling for Memory-efficient Large Language Model Fine-Tuning.pdf 1.12M
| | | ├──LLaMA-VID：在大型语言模型中，一个图像值 2 个令牌.pdf 4.17M
| | | ├──LST：用于参数和内存高效迁移学习的梯形图侧调.pdf 606.69kb
| | | ├──Lyrics-通过语义感知视觉对象促进细粒度语言-视觉对齐和理解.pdf 14.83M
| | | ├──MiniGPT-4：使用高级大型语言模型增强视觉语言理解.pdf 3.53M
| | | ├──MiniGPT-v2：大型语言模型作为视觉语言多任务学习的统一接口.pdf 4.25M
| | | ├──MM-Vet：评估大型多模态模型的集成能力.pdf 9.28M
| | | ├──MMBench：你的多模态模型是一个全能的玩家吗？.pdf 5.47M
| | | ├──mPLUG-Owl2：通过模态协作彻底改变多模态大型语言模型.pdf 2.48M
| | | ├──OtterHD：高分辨率多模态模型.pdf 7.23M
| | | ├──Qwen-VL：用于理解、定位、文本阅读等的多功能视觉语言模型.pdf 6.04M
| | | ├──ReForm-Eval：通过统一重新制定面向任务的基准来评估大型视觉语言模型.pdf 2.89M
| | | ├──SEED-Bench：对多模态LLMs进行生成式理解的基准测试.pdf 6.96M
| | | ├──ShareGPT4V：使用更好的字幕改进大型多模态模型.pdf 6.54M
| | | ├──Shikra：释放多模态LLM的参照对话魔力.pdf 6.99M
| | | ├──SPHINX：多模态大型语言模型的权重、任务和视觉嵌入的联合混合.pdf 8.50M
| | | ├──SVIT：扩展可视化指令调优.pdf 1.50M
| | | ├──UniPT：具有高效参数和存储器的迁移学习通用并行调优.pdf 2.68M
| | | ├──Video-LLaVA：通过投影前的对齐来学习统一的视觉表示.pdf 3.80M
| | | ├──Visual Instruction Tuning with Polite Flamingo.pdf 1.70M
| | | ├──VL-ADAPTER：用于视觉和语言任务的参数高效迁移学习.pdf 735.74kb
| | | ├──VL-PET：通过粒度控制进行视觉和语言参数高效调整.pdf 3.86M
| | | ├──Ziya-Visual：通过多任务指令调优的双语大型视觉语言模型.pdf 5.18M
| | | ├──对比视觉-语言对齐使教学成为学习者的高效.pdf 4.62M
| | | ├──关于多模态语言模型的性能.pdf 536.16kb
| | | ├──可视化指令调优.pdf 5.63M
| | | ├──利用显式推理链和可视化问题生成推进大型多模态模型.pdf 2.02M
| | | ├──视觉语言预训练模型的近似提示调整.pdf 3.83M
| | | ├──通过视觉指令调整改进基线.pdf 977.45kb
| | | ├──眼见为实：提示 GPT-4V 进行更好的视觉指令调整.pdf 1.83M
| | | ├──在大型视觉语言模型中评估物体幻觉.pdf 885.47kb
| | | └──睁大眼睛？探索多模态LLMs的视觉缺陷.pdf 2.49M
| | └──大模型MoE必读论文
| | | └──【直播课原文】Pushing Mixture of Experts to the Limit Extremely Parameter Efficient MoE for Instruction Tuning.pdf 858.28kb
| ├──大模型面试题
| | ├──31-LLM-Interview-Plus
| | | ├──大模型 RAG 检索增强生成面.pdf 1.23M
| | | ├──大模型（LLMs）Tokenizer篇.pdf 302.50kb
| | | ├──大模型（LLMs）分布式训练面.pdf 414.74kb
| | | ├──大模型（LLMs）幻觉面.pdf 742.66kb
| | | ├──大模型（LLMs）面试题答案Plus.pdf 1.85M
| | | ├──大模型（LLMs）推理加速篇.pdf 215.37kb
| | | ├──大模型（LLMs）显存问题面.pdf 274.24kb
| | | ├──大模型（LLMs）增量预训练篇.pdf 858.27kb
| | | ├──大模型（LLMs）蒸馏面.pdf 174.78kb
| | | ├──大模型校招面试题.pdf 552.33kb
| | | └──多模态常见面试题.pdf 328.92kb
| | ├──大模型（LLMs）langchain面
| | | ├──大模型（LLMs）langchain面.pdf 303.91kb
| | | └──基于LLM+向量库的文档对话经验面.pdf 288.07kb
| | ├──大模型（LLMs）参数高效微调(PEFT)面
| | | ├──LoRA篇.pdf 658.76kb
| | | ├──参数高效微调篇PRFT.pdf 1.31M
| | | ├──适配器微调（Adapter-tuning）篇.pdf 90.58kb
| | | └──提示学习（Prompting）篇.pdf 193.71kb
| | ├──大模型（LLMs）agent 面.pdf 1.10M
| | ├──大模型（LLMs）幻觉面.pdf 742.66kb
| | ├──大模型（LLMs）基础面.pdf 386.31kb
| | ├──大模型（LLMs）进阶面.pdf 850.65kb
| | ├──大模型（LLMs）评测面.pdf 192.57kb
| | ├──大模型（LLMs）强化学习—— PPO 面.pdf 195.41kb
| | ├──大模型（LLMs）强化学习——RLHF及其变种面.pdf 2.27M
| | ├──大模型（LLMs）推理面.pdf 538.24kb
| | ├──大模型（LLMs）微调面.pdf 2.64M
| | └──大模型（LLMs）训练集面.pdf 230.19kb
| ├──大模型书籍
| | ├──BERT基础教程：Transformer大模型实战 (苏达哈尔桑·拉维昌迪兰) .azw3 22.96M
| | ├──BERT基础教程：Transformer大模型实战_2023.zip 9.89M
| | ├──Building LLM Apps Create Intelligent Apps and Agents with Large Language Models_2024 .pdf 22.18M
| | ├──Generative AI with LangChain_ Build large language model.pdf 13.58M
| | ├──Getting Started with Google BERT_ Build and train .pdf 12.73M
| | ├──HuggingFace自然语言处理详解：基于BERT中文模型的任务实战.epub 5.11M
| | ├──HuggingFace自然语言处理详解：基于BERT中文模型的任务实战.pdf 7.46M
| | ├──LLM Prompt Engineering For Developers The Art and Science of Unlocking LLMs True Potential_2024 .epub 9.60M
| | ├──Mastering Large Language Models Advanced techniques, applications, cutting-edge methods, and top LLMs_2024 .epub 5.90M
| | ├──Mastering Large Language Models Advanced techniques, applications, cutting-edge methods, and top LLMs_2024 .pdf 7.33M
| | ├──Mastering NLP from Foundations to LLMs_ Apply advanced.pdf 38.27M
| | ├──Mastering Transformers_ Build state-of-the-art models from — .pdf 13.85M
| | ├──Modern Generative AI with ChatGPT and OpenAI Models.pdf 25.47M
| | ├──Natural Language Processing with Transformers Building Language Applications with Hugging Face.pdf 19.17M
| | ├──Transformer, BERT, and GPT：Including ChatGPT and Prompt Engineering_2024.pdf 25.33M
| | ├──Transformers for Natural Language Processing Build, train, and fine-tune deep neural network architectures for NLP with… (–).pdf 12.40M
| | ├──Transformers in Action (MEAP v7) _2024 .pdf 10.27M
| | ├──Transformers生成式AI实用指南（提前发售 GPT双语） _2023 .epub 1.55M
| | ├──Transformer自然语言处理实战：使用Hugging-Face-Transformers库构建NLP应用_2024.pdf 25.74M
| | ├──大规模语言模型：从理论到实践_2023.pdf 26.46M
| | ├──大语言模型_2024.pdf 10.30M
| | ├──大语言模型：基础与前沿_2024.epub 27.22M
| | ├──大语言模型：基础与前沿_2024.pdf 11.07M
| | ├──精通Transformer：从零开始构建最先进的NLP模型_2023.epub 74.59M
| | ├──精通Transformer：从零开始构建最先进的NLP模型_2023.pdf 12.25M
| | ├──扩散模型从原理到实战.epub 4.51M
| | ├──面向开发者的 LLM 入门课.pdf 16.15M
| | ├──预训练语言模型 2021 (邵浩 刘一烽) .pdf 49.10M
| | ├──中国人工智能系列白皮书——大模型技术（2023 版）.pdf 3.84M
| | ├──自然语言处理：基于预训练模型的方法_2021.pdf 8.62M
| | ├──自然语言处理：原理、方法与应用 2023 (王志立 雷鹏斌 吴宇凡) .epub 23.77M
| | ├──自然语言处理：原理、方法与应用.zip 16.31M
| | └──自然语言处理导论 2023 张奇.pdf 35.10M
| ├──面试八股文
| | ├──AI大模型面试题(102).pdf 3.48M
| | ├──LLMs大模型面试问题和答案（97）.pdf 585.29kb
| | ├──从零开始大模型开发与微调基于PyTorch与ChatGLM.pdf 6.57M
| | ├──大模型 LLM 最全八股和答案.pdf 868.36kb
| | ├──大模型LLMS.pdf 1.61M
| | ├──大模型常见面试题3.pdf 493.96kb
| | ├──大模型常见面试题及解答1.pdf 512.57kb
| | ├──大模型常见面试题及解答2.pdf 663.63kb
| | ├──大模型常考面试题总结（含答案）.pdf 493.88kb
| | ├──大模型岗位面试全纪录.pdf 348.79kb
| | ├──大模型落地应用案例集.pdf 6.57M
| | └──大模型校招面试题.pdf 402.83kb
| └──小黄搞AI大模型面试目录
| | ├──小黄搞AI_大模型面试100问（PDF更新至107）.pdf 21.71M
| | ├──小黄搞AI_大模型面试100问（PDF更新至74）.pdf 15.22M
| | └──小黄搞AI_大模型面试100问（PDF更新至90）.pdf 17.97M
├──基于LangChain和知识图谱的大模型医疗问答机器人项目
| ├──Neo4j实战P7-1Windows和Mac本地安装Neo4j数据库-陈华编程.mp4 63.33M
| ├──Neo4j实战P7-2Windows和Mac本地安装Neo4j数据库-陈华编程.mp4 44.28M
| ├──大模型实战P10LangChain简介与初体验-陈华编程.mp4 35.60M
| ├──大模型实战P11LangChain之Prompt和LLMChain-陈华编程.mp4 26.25M
| ├──大模型实战P12LangChain之多参数与LCEL-陈华编程.mp4 32.68M
| ├──大模型实战P13LangChain之FewShotPrompt-陈华编程.mp4 36.39M
| ├──大模型实战P14LangChain之SequentialChain-陈华编程.mp4 38.73M
| ├──大模型实战P15LangChain之ConversationChain-陈华编程.mp4 49.91M
| ├──大模型实战P16LangChain之Memory-陈华编程.mp4 55.07M
| ├──大模型实战P17LangChain之LLMRequestsChain-陈华编程.mp4 44.53M
| ├──大模型实战P18LangChain之问答QAChain-陈华编程.mp4 66.60M
| ├──大模型实战P19LangChain之FAISS文档召回-陈华编程.mp4 50.11M
| ├──大模型实战P1LangChain与知识图谱问答机器人项目-陈华编程.mp4 21.31M
| ├──大模型实战P20LangChain之文档加载和分割-陈华编程.mp4 57.65M
| ├──大模型实战P21LangChain之文档检索问答-陈华编程.mp4 35.55M
| ├──大模型实战P22LangChain之向量保存和加载-陈华编程.mp4 27.44M
| ├──大模型实战P23LangChain之Agent和自定义Tool-陈华编程.mp4 33.32M
| ├──大模型实战P24LangChain之多Agent协作-陈华编程.mp4 37.58M
| ├──大模型实战P25LangChain之给Agent加Memory-陈华编程.mp4 40.58M
| ├──大模型实战P26LangChain之命名实体识别-陈华编程.mp4 65.05M
| ├──大模型实战P27LangChain之输出提示词重写-陈华编程.mp4 35.75M
| ├──大模型实战P28LangChain之GraphCypherQAChain-陈华编程.mp4 30.74M
| ├──大模型实战P29Gradio简介与初体验-陈华编程.mp4 26.50M
| ├──大模型实战P2基础课和项目课的内容概述-陈华编程.mp4 10.65M
| ├──大模型实战P30Gradio之ChatInterface对话界面-陈华编程.mp4 46.45M
| ├──大模型实战P31项目LangChainAgent架构简介-陈华编程.mp4 13.77M
| ├──大模型实战P32定义环境变量和模型获取函数-陈华编程.mp4 29.37M
| ├──大模型实战P33公司相关文档向量化和存储-陈华编程.mp4 55.62M
| ├──大模型实战P34通用大模型回答日常交际问题-陈华编程.mp4 18.46M
| ├──大模型实战P35Chroma召回数据回答公司相关问题-陈华编程.mp4 43.17M
| ├──大模型实战P36从用户问题中抽取命名实体词槽-陈华编程.mp4 23.34M
| ├──大模型实战P37CQL词槽填充和相关问题筛选-陈华编程.mp4 62.17M
| ├──大模型实战P38查询Neo4j回答医疗相关问题-陈华编程.mp4 45.54M
| ├──大模型实战P39Google搜索回答非在库问题-陈华编程.mp4 22.83M
| ├──大模型实战P3大语言模型通识和课前准备-陈华编程.mp4 26.84M
| ├──大模型实战P40用Agent串联业务处理函数-陈华编程.mp4 85.41M
| ├──大模型实战P41用户消息的补全和归纳总结-陈华编程.mp4 43.49M
| ├──大模型实战P42Gradio对话窗口修改和测试-陈华编程.mp4 17.99M
| ├──大模型实战P43LangSmith监控大模型应用程序-陈华编程.mp4 31.17M
| ├──大模型实战P44LangChain框架版本升级-陈华编程.mp4 95.57M
| ├──大模型实战P45问答机器人项目面试考点总结-陈华编程.mp4 24.26M
| ├──大模型实战P46共性问题修复和统一答疑-陈华编程.mp4 52.64M
| ├──大模型实战P47一种解决Agent响应慢的方法-陈华编程.mp4 63.27M
| ├──大模型实战P48快速接入百川和Claude大模型-陈华编程.mp4 50.04M
| ├──大模型实战P4OpenAI对话接口简单使用方法-陈华编程.mp4 62.00M
| ├──大模型实战P5OpenAI对话接口代码优化-陈华编程.mp4 49.10M
| ├──大模型实战P6OpenAI接口调用Token计算-陈华编程.mp4 37.81M
| ├──大模型实战P7OpenAI接口实现多轮对话-陈华编程.mp4 36.09M
| ├──大模型实战P8OpenAI接口实现TextEmbeddings-陈华编程.mp4 37.47M
| ├──大模型实战P9根据OpenAI句向量召回相似文本-陈华编程.mp4 39.10M
| └──医疗问答P7CSV文件导入到Neo4j数据库-陈华编程.mp4 37.06M