Who cites «Questions Are All You Need to Train a Dense Passage Retriever»
- Is ChatGPT Good at Search? Investigating Large Language Models as Re-Ranking AgentsConference on Empirical Methods in Natural Language Processing (EMNLP)Weiwei Sun, Lingyong Yan, Xinyu Ma, et al.2023 · 496 citations
- REPLUG: Retrieval-Augmented Black-Box Language ModelsarXiv:2301.12652Weijia Shi, Sewon Min, Michihiro Yasunaga, et al.2023 · 492 citations
- Large Language Models for Information Retrieval: A SurveyACM Transactions on Information SystemsYutao Zhu; Huaying Yuan; Shuting Wang; Jiongnan Liu; Wenhan Liu; Chenlong Deng; Haonan Chen; Zheng Liu; Zhicheng Dou;, Ji-Rong Wen2023 · 339 citations
- Generate rather than Retrieve: Large Language Models are Strong Context GeneratorsarXiv:2209.10063Wenhao Yu, Dan Iter, Shuohang Wang, et al.2022 · 281 citations
- RAPTOR: Recursive Abstractive Processing for Tree-Organized RetrievalarXiv:2401.18059Parth Sarthi, Salman Abdullah, Aditi Tuli, et al.2024 · 193 citations
- Chain-of-Note: Enhancing Robustness in Retrieval-Augmented Language ModelsConference on Empirical Methods in Natural Language Processing (EMNLP)Wenhao Yu, Hongming Zhang, Xiaoman Pan, et al.2024 · 149 citations
- RankVicuna: Zero-Shot Listwise Document Reranking with Open-Source Large Language ModelsarXiv:2309.15088Ronak Pradeep, Sahel Sharifymoghaddam, Jimmy Lin2023 · 81 citations
- Gecko: Versatile Text Embeddings Distilled from Large Language ModelsarXiv:2403.20327Jinhyuk Lee, Zhuyun Dai, Xiaoqi Ren, et al.2024 · 74 citations
- Improving Language Models via Plug-and-Play Retrieval FeedbackarXiv:2305.14002Wenhao Yu, Zhihan Zhang, Zhenwen Liang, et al.2023 · 54 citations
- IfQA: A Dataset for Open-domain Question Answering under Counterfactual PresuppositionsWenhao Yu, Meng Jiang, Peter Clark, et al.2023 · 26 citations
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