Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper
β’ 2005.11401 β’ Published
β’ 14
πβπ¬ RAG
Note The OG.
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Paper β’ 2401.08406 β’ Published β’ 38Note 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
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Precise Zero-Shot Dense Retrieval without Relevance Labels
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ReST meets ReAct: Self-Improvement for Multi-Step Reasoning LLM Agent
Paper β’ 2312.10003 β’ Published β’ 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 β’ 2304.09542 β’ Published β’ 5 -
Hallucination-Free? Assessing the Reliability of Leading AI Legal Research Tools
Paper β’ 2405.20362 β’ Published β’ 3 -
HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systems
Paper β’ 2411.02959 β’ Published β’ 71