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Orca 2: Teaching Small Language Models How to Reason
Paper • 2311.11045 • Published • 72 -
Learning From Mistakes Makes LLM Better Reasoner
Paper • 2310.20689 • Published • 29 -
Let's Verify Step by Step
Paper • 2305.20050 • Published • 10 -
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning
Paper • 2308.00436 • Published • 22
Collections
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Collections including paper arxiv:2310.11511
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Chain-of-Verification Reduces Hallucination in Large Language Models
Paper • 2309.11495 • Published • 37 -
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 • 85 -
Language Modeling Is Compression
Paper • 2309.10668 • Published • 83
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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 • 140
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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 76 -
RaLLe: A Framework for Developing and Evaluating Retrieval-Augmented Large Language Models
Paper • 2308.10633 • Published • 1 -
RA-DIT: Retrieval-Augmented Dual Instruction Tuning
Paper • 2310.01352 • Published • 7 -
RAGAS: Automated Evaluation of Retrieval Augmented Generation
Paper • 2309.15217 • Published • 3