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Jina-ColBERT-v2: A General-Purpose Multilingual Late Interaction Retriever
Paper • 2408.16672 • Published • 7 -
Precise Zero-Shot Dense Retrieval without Relevance Labels
Paper • 2212.10496 • Published • 2 -
Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent
Paper • 2304.09542 • Published • 4 -
Making Text Embedders Few-Shot Learners
Paper • 2409.15700 • Published • 29
Collections
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Collections including paper arxiv:2304.09542
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Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper • 2005.11401 • Published • 11 -
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Paper • 2401.08406 • Published • 37 -
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 • 2
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Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks
Paper • 2005.11401 • Published • 11 -
RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture
Paper • 2401.08406 • Published • 37 -
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 • 2
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Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking Agent
Paper • 2304.09542 • Published • 4 -
Dense X Retrieval: What Retrieval Granularity Should We Use?
Paper • 2312.06648 • Published • 1 -
Context Tuning for Retrieval Augmented Generation
Paper • 2312.05708 • Published • 17 -
Rank-without-GPT: Building GPT-Independent Listwise Rerankers on Open-Source Large Language Models
Paper • 2312.02969 • Published • 12