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Extending context windows (i.e., Long Context, LC) and using retrievers to selectively access relevant information (i.e., Retrieval-Augmented Generation, RAG) are the two main strategies to enable LLMs to incorporate extremely long external contexts.
Relevance feedback revisited
Donna Harman. 1992 · 1992
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The probabilistic relevance framework: BM25 and beyond
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A survey of automatic query expansion in information retrieval
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A dataset of information-seeking questions and answers anchored in research papers
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Retrieval augmentation reduces hallucination in conversation
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Unsupervised dense information retrieval with contrastive learning
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LlamaIndex
Jerry Liu. 2022 · 2022
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QuALITY: Question answering with long input texts, yes!
Richard Yuanzhe Pang, Alicia Parrish, Nitish Joshi, Nikita Nangia, Jason Phang, Angelica Chen, Vishakh Padmakumar, Johnny Ma, Jana Thompson, He He, and Samuel Bowman. 2022 · 2022
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Musique: Multihop questions via single-hop question composition
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Extending context window of large language models via positional interpolation
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Retrieval-augmented generation for large language models: A survey
Yunfan Gao, Yun Xiong, Xinyu Gao, Kangxiang Jia, Jinliu Pan, Yuxi Bi, Yi Dai, Jiawei Sun, Qianyu Guo, Meng Wang, and Haofen Wang. 2023 · 2023
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Financebench: A new benchmark for financial question answering
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Survey of hallucination in natural language generation
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Active retrieval augmented generation
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Long-context llms meet RAG: overcoming challenges for long inputs in RAG
Bowen Jin, Jinsung Yoon, Jiawei Han, and Sercan Ö. Arik. 2024 · 2024
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Long context rag performance of large language models
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Retrieval augmented generation or long-context llms? A comprehensive study and hybrid approach
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Gemma: Open models based on gemini research and technology
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How to train your dragon: Diverse augmentation towards generalizable dense retrieval
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OpenAI, Josh Achiam, Steven Adler, Sandhini Agarwal, Lama Ahmad, Ilge Akkaya, Florencia Leoni Aleman, Diogo Almeida, Janko Altenschmidt, Sam Altman, Shyamal Anadkat, Red Avila, Igor Babuschkin, Suchir Balaji, Valerie Balcom, Paul Baltescu, Haiming Bao, Mohammad Bavarian, and Jeff Belgum et al. 2023 · 2023
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Llama 2: Open foundation and fine-tuned chat models
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L-eval: Instituting standardized evaluation for long context language models
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DRAGIN: dynamic retrieval augmented generation based on the real-time information needs of large language models
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Improving text embeddings with large language models
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Beyond the limits: A survey of techniques to extend the context length in large language models
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Retrieval meets long context large language models
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An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, Haoran Wei, Huan Lin, Jialong Tang, Jialin Wang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Ma, and Jianxin Yang et al. 2024 · 2024
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In defense of RAG in the era of long-context language models
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Chatglm: A family of large language models from GLM-130B to GLM-4 all tools
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RAFT: adapting language model to domain specific RAG
Tianjun Zhang, Shishir G. Patil, Naman Jain, Sheng Shen, Matei Zaharia, Ion Stoica, and Joseph E. Gonzalez. 2024 · 2024
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