https://github.com/vision-cair/dochaystacks
공식 코드Document Haystacks: Vision-Language Reasoning Over Piles of 1000+ Documents
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Document Haystacks: Vision-Language Reasoning Over Piles of 1000+ Documents
MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models
MiniGPT-Med: Large Language Model as a General Interface for Radiology Diagnosis
StarVector: Generating Scalable Vector Graphics Code from Images and Text
NitiBench: A Comprehensive Studies of LLM Frameworks Capabilities for Thai Legal Question Answering
Visual Haystacks: A Vision-Centric Needle-In-A-Haystack Benchmark
DP-OPT: Make Large Language Model Your Privacy-Preserving Prompt Engineer
VITA-Audio: Fast Interleaved Cross-Modal Token Generation for Efficient Large Speech-Language Model
PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures
Efficient Memory Management for Large Language Model Serving with PagedAttention
MegaScale: Scaling Large Language Model Training to More Than 10,000 GPUs
VirusT5: Harnessing Large Language Models to Predicting SARS-CoV-2 Evolution
KET-RAG: A Cost-Efficient Multi-Granular Indexing Framework for Graph-RAG
Apply Hierarchical-Chain-of-Generation to Complex Attributes Text-to-3D Generation
Unifying Multimodal Large Language Model Capabilities and Modalities via Model Merging
WalledEval: A Comprehensive Safety Evaluation Toolkit for Large Language Models
Diff-eRank: A Novel Rank-Based Metric for Evaluating Large Language Models
TracLLM: A Generic Framework for Attributing Long Context LLMs
Explainable Fake News Detection With Large Language Model via Defense Among Competing Wisdom
Structure-Augmented Text Representation Learning for Efficient Knowledge Graph Completion
ESRL: Efficient Sampling-based Reinforcement Learning for Sequence Generation
LLM-Seg: Bridging Image Segmentation and Large Language Model Reasoning
CodeBC: A More Secure Large Language Model for Smart Contract Code Generation in Blockchain
Connecting the Dots: A Knowledgeable Path Generator for Commonsense Question Answering
Logic Attention Based Neighborhood Aggregation for Inductive Knowledge Graph Embedding
Do Language Models Perform Generalizable Commonsense Inference?
Query Structure Modeling for Inductive Logical Reasoning Over Knowledge Graphs
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.