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Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 74 -
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
Collections
Discover the best community collections!
Collections including paper arxiv:2310.05149
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RA-DIT: Retrieval-Augmented Dual Instruction Tuning
Paper • 2310.01352 • Published • 7 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 74 -
RAVEN: In-Context Learning with Retrieval Augmented Encoder-Decoder Language Models
Paper • 2308.07922 • Published • 17 -
Retrieval-Generation Synergy Augmented Large Language Models
Paper • 2310.05149 • Published • 1
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Monolingual or Multilingual Instruction Tuning: Which Makes a Better Alpaca
Paper • 2309.08958 • Published • 2 -
Generative Data Augmentation using LLMs improves Distributional Robustness in Question Answering
Paper • 2309.06358 • Published • 1 -
Tuna: Instruction Tuning using Feedback from Large Language Models
Paper • 2310.13385 • Published • 10 -
Retrieval-Generation Synergy Augmented Large Language Models
Paper • 2310.05149 • Published • 1
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Ada-Instruct: Adapting Instruction Generators for Complex Reasoning
Paper • 2310.04484 • Published • 5 -
Diversity of Thought Improves Reasoning Abilities of Large Language Models
Paper • 2310.07088 • Published • 5 -
Adapting Large Language Models via Reading Comprehension
Paper • 2309.09530 • Published • 77 -
Democratizing Reasoning Ability: Tailored Learning from Large Language Model
Paper • 2310.13332 • Published • 14
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Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
Paper • 2310.15123 • Published • 7 -
Diversity of Thought Improves Reasoning Abilities of Large Language Models
Paper • 2310.07088 • Published • 5 -
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
Paper • 2310.13227 • Published • 12 -
Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models
Paper • 2310.04406 • Published • 8
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Branch-Solve-Merge Improves Large Language Model Evaluation and Generation
Paper • 2310.15123 • Published • 7 -
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models
Paper • 2310.13671 • Published • 18 -
Self-Convinced Prompting: Few-Shot Question Answering with Repeated Introspection
Paper • 2310.05035 • Published • 1 -
Chain-of-Thought Reasoning is a Policy Improvement Operator
Paper • 2309.08589 • Published • 1
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Ensemble-Instruct: Generating Instruction-Tuning Data with a Heterogeneous Mixture of LMs
Paper • 2310.13961 • Published • 4 -
ZeroGen: Efficient Zero-shot Learning via Dataset Generation
Paper • 2202.07922 • Published • 1 -
Let's Synthesize Step by Step: Iterative Dataset Synthesis with Large Language Models by Extrapolating Errors from Small Models
Paper • 2310.13671 • Published • 18 -
Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs
Paper • 2309.09582 • Published • 4
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KITAB: Evaluating LLMs on Constraint Satisfaction for Information Retrieval
Paper • 2310.15511 • Published • 4 -
ToolChain*: Efficient Action Space Navigation in Large Language Models with A* Search
Paper • 2310.13227 • Published • 12 -
Reverse Chain: A Generic-Rule for LLMs to Master Multi-API Planning
Paper • 2310.04474 • Published • 2 -
AgentTuning: Enabling Generalized Agent Abilities for LLMs
Paper • 2310.12823 • Published • 35