Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent
Paper
• 2304.09542 • Published
• 5
LLM-RAG
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Dense X Retrieval: What Retrieval Granularity Should We Use?
Paper • 2312.06648 • Published • 1 -
Context Tuning for Retrieval Augmented Generation
Paper • 2312.05708 • Published • 16 -
Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models
Paper • 2312.02969 • Published • 14 -
Retrieval-Augmented Generation for Large Language Models: A Survey
Paper • 2312.10997 • Published • 12 -
RAFT: Adapting Language Model to Domain Specific RAG
Paper • 2403.10131 • Published • 72 -
Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts
Paper • 2405.19893 • Published • 33 -
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection
Paper • 2310.11511 • Published • 79 -
Promptriever: Instruction-Trained Retrievers Can Be Prompted Like Language Models
Paper • 2409.11136 • Published • 22 -
ReasonIR: Training Retrievers for Reasoning Tasks
Paper • 2504.20595 • Published • 54