Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper
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2005.11401
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Published
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12
🔎⇒💬 RAG
Note The OG.
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Paper • 2401.08406 • Published • 37Note This paper shows an example of generating a synthetic dataset.
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BEIR: A Heterogenous Benchmark for Zero-shot Evaluation of Information Retrieval Models
Paper • 2104.08663 • Published • 3
Precise Zero-Shot Dense Retrieval without Relevance Labels
Paper • 2212.10496 • Published • 4Note This paper introduces HyDE method.
ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper • 2312.10003 • Published • 44Note This paper generates a synthetic dataset, with critique agents that filter out the generated examples based on relevance and groundedness.
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Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent
Paper • 2304.09542 • Published • 5 -
Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools
Paper • 2405.20362 • Published • 2 -
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
Paper • 2411.02959 • Published • 71