Improving Retrieval Augmented Language Model with Self-Reasoning (AI summary)
Yuan Xia, Jingbo Zhou, Zhenhui Shi, Jun Chen, Haifeng Huang
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Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach (AI summary)
Zhuowan Li, Cheng Li, Mingyang Zhang, Qiaozhu Mei, Michael Bendersky
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MindSearch: Mimicking Human Minds Elicits Deep AI Searcher (AI summary)
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Beyond Euclid: An Illustrated Guide to Modern Machine Learning with Geometric, Topological, and Algebraic Structures (AI summary)
Sophia Sanborn, Johan Mathe, Mathilde Papillon, Domas Buracas, Hansen J Lillemark, Christian Shewmake, Abby Bertics, Xavier Pennec, Nina Miolane
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Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge (AI summary)
Tianhao Wu, Weizhe Yuan, Olga Golovneva, Jing Xu, Yuandong Tian, Jiantao Jiao, Jason Weston, Sainbayar Sukhbaatar
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Exploring Advanced Large Language Models with LLMsuite (AI summary)
Giorgio Roffo
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Distilling System 2 into System 1 (AI summary)
Ping Yu, Jing Xu, Jason Weston, Ilia Kulikov
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NeedleBench: Can LLMs Do Retrieval and Reasoning in 1 Million Context Window? (AI summary)
Mo Li, Songyang Zhang, Yunxin Liu, Kai Chen
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Does Refusal Training in LLMs Generalize to the Past Tense? (AI summary)
Maksym Andriushchenko, Nicolas Flammarion
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A Survey of Prompt Engineering Methods in Large Language Models for Different NLP Tasks (AI summary)
Shubham Vatsal, Harsh Dubey
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