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Existing large language models (LLMs) show exceptional problem-solving capabilities but might struggle with complex reasoning tasks.
Multi-hop question answering via reasoning chains
Jifan Chen, Shih-Ting Lin, and Greg Durrett. 2019 · 1910
Earlier work this paper cites.
A formal basis for the heuristic determination of minimum cost paths
Peter E. Hart, Nils J. Nilsson, and Bertram Raphael. 1968 · 1968
Earlier work this paper cites.
Dense passage retrieval for open-domain question answering
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Earlier work this paper cites.
Bandit based monte-carlo planning
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Earlier work this paper cites.
Thinking, fast and slow
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Earlier work this paper cites.
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Earlier work this paper cites.
Hotpotqa: A dataset for diverse, explainable multi-hop question answering
Zhilin Yang, Peng Qi, Saizheng Zhang, Yoshua Bengio, William W. Cohen, Ruslan Salakhutdinov, and Christopher D. Manning. 2018 · 2018
Earlier work this paper cites.
The bitter lesson
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Earlier work this paper cites.
Language models are few-shot learners
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Earlier work this paper cites.
Retrieval augmented language model pre-training
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Earlier work this paper cites.
Constructing A multi-hop QA dataset for comprehensive evaluation of reasoning steps
Xanh Ho, Anh-Khoa Duong Nguyen, Saku Sugawara, and Akiko Aizawa. 2020 · 2020
Earlier work this paper cites.
Retrieval-augmented generation for knowledge-intensive NLP tasks
Patrick S. H. Lewis, Ethan Perez, Aleksandra Piktus, Fabio Petroni, Vladimir Karpukhin, Naman Goyal, Heinrich Küttler, Mike Lewis, Wen-tau Yih, Tim Rocktäschel, Sebastian Riedel, and Douwe Kiela. 2020b · 2020
Earlier work this paper cites.
Did aristotle use a laptop? A question answering benchmark with implicit reasoning strategies
Mor Geva, Daniel Khashabi, Elad Segal, Tushar Khot, Dan Roth, and Jonathan Berant. 2021 · 2021
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Improving language models by retrieving from trillions of tokens
Sebastian Borgeaud, Arthur Mensch, Jordan Hoffmann, Trevor Cai, Eliza Rutherford, Katie Millican, George Bm Van Den Driessche, Jean-Baptiste Lespiau, Bogdan Damoc, Aidan Clark, et al. 2022 · 2022
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Musique: Multihop questions via single-hop question composition
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Chain-of-thought prompting elicits reasoning in large language models
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React: Synergizing reasoning and acting in language models
Shunyu Yao, Jeffrey Zhao, Dian Yu, Nan Du, Izhak Shafran, Karthik Narasimhan, and Yuan Cao. 2022 · 2022
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Tree of thoughts: Deliberate problem solving with large language models
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Verify-and-edit: A knowledge-enhanced chain-of-thought framework
Ruochen Zhao, Xingxuan Li, Shafiq Joty, Chengwei Qin, and Lidong Bing. 2023a · 2023
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Solving math word problems via cooperative reasoning induced language models
Xinyu Zhu, Junjie Wang, Lin Zhang, Yuxiang Zhang, Yongfeng Huang, Ruyi Gan, Jiaxing Zhang, and Yujiu Yang. 2023 · 2023
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Self-rag: Learning to retrieve, generate, and critique through self-reflection
Akari Asai, Zeqiu Wu, Yizhong Wang, Avirup Sil, and Hannaneh Hajishirzi. 2024 · 2024
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Large language monkeys: Scaling inference compute with repeated sampling
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Towards reasoning in large language models: A survey
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Faithful chain-of-thought reasoning
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Gpt-4 technical report
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Challenging big-bench tasks and whether chain-of-thought can solve them
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Olympicarena: Benchmarking multi-discipline cognitive reasoning for superintelligent AI
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Let’s verify step by step
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Llama-berry: Pairwise optimization for o1-like olympiad-level mathematical reasoning
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