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PDFTriage: Question Answering over Long, Structured Documents
Paper • 2309.08872 • Published • 53 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 77 -
Table-GPT: Table-tuned GPT for Diverse Table Tasks
Paper • 2310.09263 • Published • 39 -
Context-Aware Meta-Learning
Paper • 2310.10971 • Published • 16
Collections
Discover the best community collections!
Collections including paper arxiv:2403.10131
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Chain-of-Verification Reduces Hallucination in Large Language Models
Paper • 2309.11495 • Published • 38 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 77 -
CulturaX: A Cleaned, Enormous, and Multilingual Dataset for Large Language Models in 167 Languages
Paper • 2309.09400 • Published • 82 -
Language Modeling Is Compression
Paper • 2309.10668 • Published • 82
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EfficientRAG: Efficient Retriever for Multi-Hop Question Answering
Paper • 2408.04259 • Published -
HybridRAG: Integrating Knowledge Graphs and Vector Retrieval Augmented Generation for Efficient Information Extraction
Paper • 2408.04948 • Published • 1 -
Graph Retrieval-Augmented Generation: A Survey
Paper • 2408.08921 • Published • 4 -
Writing in the Margins: Better Inference Pattern for Long Context Retrieval
Paper • 2408.14906 • Published • 138
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LLMLingua-2: Data Distillation for Efficient and Faithful Task-Agnostic Prompt Compression
Paper • 2403.12968 • Published • 24 -
PERL: Parameter Efficient Reinforcement Learning from Human Feedback
Paper • 2403.10704 • Published • 57 -
Alignment Studio: Aligning Large Language Models to Particular Contextual Regulations
Paper • 2403.09704 • Published • 31 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 67
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Instruction Pre-Training: Language Models are Supervised Multitask Learners
Paper • 2406.14491 • Published • 85 -
Better & Faster Large Language Models via Multi-token Prediction
Paper • 2404.19737 • Published • 73 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 67 -
The Prompt Report: A Systematic Survey of Prompting Techniques
Paper • 2406.06608 • Published • 55
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Plot2Code: A Comprehensive Benchmark for Evaluating Multi-modal Large Language Models in Code Generation from Scientific Plots
Paper • 2405.07990 • Published • 16 -
Large Language Models as Planning Domain Generators
Paper • 2405.06650 • Published • 9 -
AutoCrawler: A Progressive Understanding Web Agent for Web Crawler Generation
Paper • 2404.12753 • Published • 41 -
OSWorld: Benchmarking Multimodal Agents for Open-Ended Tasks in Real Computer Environments
Paper • 2404.07972 • Published • 46
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Fine Tuning vs. Retrieval Augmented Generation for Less Popular Knowledge
Paper • 2403.01432 • Published • 2 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 67 -
BLADE: Enhancing Black-box Large Language Models with Small Domain-Specific Models
Paper • 2403.18365 • Published • 2 -
When to Retrieve: Teaching LLMs to Utilize Information Retrieval Effectively
Paper • 2404.19705 • Published
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RARR: Researching and Revising What Language Models Say, Using Language Models
Paper • 2210.08726 • Published • 1 -
Hypothesis Search: Inductive Reasoning with Language Models
Paper • 2309.05660 • Published • 1 -
In-context Learning and Induction Heads
Paper • 2209.11895 • Published • 2 -
ReAct: Synergizing Reasoning and Acting in Language Models
Paper • 2210.03629 • Published • 14
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Beyond Chain-of-Thought: A Survey of Chain-of-X Paradigms for LLMs
Paper • 2404.15676 • Published -
How faithful are RAG models? Quantifying the tug-of-war between RAG and LLMs' internal prior
Paper • 2404.10198 • Published • 7 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 67 -
FaaF: Facts as a Function for the evaluation of RAG systems
Paper • 2403.03888 • Published