DocGraphLM: Documental Graph Language Model for Information Extraction
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2401.02823
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Published
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34
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Understanding LLMs: A Comprehensive Overview from Training to Inference
Paper • 2401.02038 • Published • 61 -
DocLLM: A layout-aware generative language model for multimodal document understanding
Paper • 2401.00908 • Published • 181 -
Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration
Paper • 2309.01131 • Published • 1 -
LMDX: Language Model-based Document Information Extraction and Localization
Paper • 2309.10952 • Published • 65 -
MM1: Methods, Analysis & Insights from Multimodal LLM Pre-training
Paper • 2403.09611 • Published • 124 -
Improved Baselines with Visual Instruction Tuning
Paper • 2310.03744 • Published • 37 -
HyperLLaVA: Dynamic Visual and Language Expert Tuning for Multimodal Large Language Models
Paper • 2403.13447 • Published • 18 -
LoRA Land: 310 Fine-tuned LLMs that Rival GPT-4, A Technical Report
Paper • 2405.00732 • Published • 118 -
Block Transformer: Global-to-Local Language Modeling for Fast Inference
Paper • 2406.02657 • Published • 36 -
Unifying Vision, Text, and Layout for Universal Document Processing
Paper • 2212.02623 • Published • 10 -
Multimodal Task Vectors Enable Many-Shot Multimodal In-Context Learning
Paper • 2406.15334 • Published • 8 -
Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps
Paper • 2407.07071 • Published • 11 -
Transformer Layers as Painters
Paper • 2407.09298 • Published • 13 -
BGE M3-Embedding: Multi-Lingual, Multi-Functionality, Multi-Granularity Text Embeddings Through Self-Knowledge Distillation
Paper • 2402.03216 • Published • 4 -
Visual Text Generation in the Wild
Paper • 2407.14138 • Published • 8 -
VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding
Paper • 2407.12594 • Published • 19 -
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery
Paper • 2408.06292 • Published • 115 -
Building and better understanding vision-language models: insights and future directions
Paper • 2408.12637 • Published • 117 -
Writing in the Margins: Better Inference Pattern for Long Context Retrieval
Paper • 2408.14906 • Published • 138 -
Becoming self-instruct: introducing early stopping criteria for minimal instruct tuning
Paper • 2307.03692 • Published • 24 -
Patch n' Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
Paper • 2307.06304 • Published • 26 -
Contrastive Localized Language-Image Pre-Training
Paper • 2410.02746 • Published • 31 -
Interpreting and Editing Vision-Language Representations to Mitigate Hallucinations
Paper • 2410.02762 • Published • 9 -
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration
Paper • 2410.02367 • Published • 45 -
ComfyGen: Prompt-Adaptive Workflows for Text-to-Image Generation
Paper • 2410.01731 • Published • 15 -
Contextual Document Embeddings
Paper • 2410.02525 • Published • 16 -
Compact Language Models via Pruning and Knowledge Distillation
Paper • 2407.14679 • Published • 37 -
LLM Pruning and Distillation in Practice: The Minitron Approach
Paper • 2408.11796 • Published • 53 -
Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering
Paper • 2401.08500 • Published • 5 -
Automatic Prompt Optimization with "Gradient Descent" and Beam Search
Paper • 2305.03495 • Published • 1 -
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 35 -
Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss
Paper • 2410.17243 • Published • 87 -
Personalization of Large Language Models: A Survey
Paper • 2411.00027 • Published • 28 -
Adapting While Learning: Grounding LLMs for Scientific Problems with Intelligent Tool Usage Adaptation
Paper • 2411.00412 • Published • 9 -
Human-inspired Perspectives: A Survey on AI Long-term Memory
Paper • 2411.00489 • Published -
OpenCoder: The Open Cookbook for Top-Tier Code Large Language Models
Paper • 2411.04905 • Published • 81 -
Training language models to follow instructions with human feedback
Paper • 2203.02155 • Published • 15