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Reasoning is a key component of language understanding in Large Language Models.
Mathqa: Towards interpretable math word problem solving with operation-based formalisms
Aida Amini, Saadia Gabriel, Peter Lin, Rik Koncel-Kedziorski, Yejin Choi, and Hannaneh Hajishirzi. 2019 · 1905
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On the momentum term in gradient descent learning algorithms
Ning Qian. 1999 · 1999
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Conflict monitoring and cognitive control
Matthew M Botvinick, Todd S Braver, Deanna M Barch, Cameron S Carter, and Jonathan D Cohen. 2001 · 2001
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The architecture of cognitive control in the human prefrontal cortex
Etienne Koechlin, Chrystele Ody, and Frédérique Kouneiher. 2003 · 2003
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Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun. 2016 · 2016
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Program induction by rationale generation: Learning to solve and explain algebraic word problems
Wang Ling, Dani Yogatama, Chris Dyer, and Phil Blunsom. 2017 · 2017
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Edta enhances stromal cell–derived factor 1 α \alpha –induced migration of dental pulp cells by up-regulating chemokine receptor 4 expression
Linyi Liu, Sha Leng, Junli Yue, Qian Lu, Weizhe Xu, Xiaowei Yi, Dingming Huang, and Lan Zhang. 2019 · 2019
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Language models are unsupervised multitask learners
Alec Radford, Jeffrey Wu, Rewon Child, David Luan, Dario Amodei, Ilya Sutskever, and 1 others. 2019 · 2019
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Sichuan dialect speech recognition with deep lstm network
Wangyang Ying, Lei Zhang, and Hongli Deng. 2020 · 2020
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Training verifiers to solve math word problems
Karl Cobbe, Vineet Kosaraju, Mohammad Bavarian, Mark Chen, Heewoo Jun, Lukasz Kaiser, Matthias Plappert, Jerry Tworek, Jacob Hilton, Reiichiro Nakano, and 1 others. 2021 · 2021
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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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Show your work: Scratchpads for intermediate computation with language models
Maxwell Nye, Anders Johan Andreassen, Guy Gur-Ari, Henryk Michalewski, Jacob Austin, David Bieber, David Dohan, Aitor Lewkowycz, Maarten Bosma, David Luan, and 1 others. 2021 · 2021
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Wenhu Chen, Xueguang Ma, Xinyi Wang, and William W Cohen. 2022 · 2022
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Selection-inference: Exploiting large language models for interpretable logical reasoning
Antonia Creswell, Murray Shanahan, and Irina Higgins. 2022 · 2022
Cited alongside, same era.
Complexity-based prompting for multi-step reasoning
Yao Fu, Hao Peng, Ashish Sabharwal, Peter Clark, and Tushar Khot. 2022 · 2022
Cited alongside, same era.
Transrac: Encoding multi-scale temporal correlation with transformers for repetitive action counting
Huazhang Hu, Sixun Dong, Yiqun Zhao, Dongze Lian, Zhengxin Li, and Shenghua Gao. 2022 · 2022
Cited alongside, same era.
Language models as zero-shot planners: Extracting actionable knowledge for embodied agents
Wenlong Huang, Pieter Abbeel, Deepak Pathak, and Igor Mordatch. 2022 · 2022
Cited alongside, same era.
Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang Shane Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2022 · 2022
Glore: Evaluating logical reasoning of large language models
Hanmeng Liu, Zhiyang Teng, Ruoxi Ning, Jian Liu, Qiji Zhou, and Yue Zhang. 2023 · 2023
Later among the works it cites.
Self-optimizing feature generation via categorical hashing representation and hierarchical reinforcement crossing
Wangyang Ying, Dongjie Wang, Kunpeng Liu, Leilei Sun, and Yanjie Fu. 2023 · 2023
Later among the works it cites.
Multimodality invariant learning for multimedia-based new item recommendation
Haoyue Bai, Le Wu, Min Hou, Miaomiao Cai, Zhuangzhuang He, Yuyang Zhou, Richang Hong, and Meng Wang. 2024 · 2024
Later among the works it cites.
Language models are hidden reasoners: Unlocking latent reasoning capabilities via self-rewarding
Haolin Chen, Yihao Feng, Zuxin Liu, Weiran Yao, Akshara Prabhakar, Shelby Heinecke, Ricky Ho, Phil Mui, Silvio Savarese, Caiming Xiong, and 1 others. 2024 · 2024
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Training large language models to reason in a continuous latent space
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Cited alongside, same era.
Learn to explain: Multimodal reasoning via thought chains for science question answering
Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, and Ashwin Kalyan. 2022 · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, and 1 others. 2022 · 2022
Cited alongside, same era.
A hierarchal bert structure for native speaker writing detection
Xinyuan Wang, Qinke Peng, Xu Mou, Haozhou Li, and Ying Wang. 2022a · 2022
Cited alongside, same era.
Automatic chain of thought prompting in large language models
Zhuosheng Zhang, Aston Zhang, Mu Li, and Alex Smola. 2022 · 2022
Cited alongside, same era.
Least-to-most prompting enables complex reasoning in large language models
Denny Zhou, Nathanael Schärli, Le Hou, Jason Wei, Nathan Scales, Xuezhi Wang, Dale Schuurmans, Claire Cui, Olivier Bousquet, Quoc Le, and 1 others. 2022 · 2022
Cited alongside, same era.
Gorec: a generative cold-start recommendation framework
Haoyue Bai, Min Hou, Le Wu, Yonghui Yang, Kun Zhang, Richang Hong, and Meng Wang. 2023 · 2023
Cited alongside, same era.
Weakly supervised video representation learning with unaligned text for sequential videos
Sixun Dong, Huazhang Hu, Dongze Lian, Weixin Luo, Yicheng Qian, and Shenghua Gao. 2023 · 2023
Cited alongside, same era.
Shibo Hao, Sainbayar Sukhbaatar, DiJia Su, Xian Li, Zhiting Hu, Jason Weston, and Yuandong Tian. 2024 · 2024
Later among the works it cites.
Double correction framework for denoising recommendation
Zhuangzhuang He, Yifan Wang, Yonghui Yang, Peijie Sun, Le Wu, Haoyue Bai, Jinqi Gong, Richang Hong, and Min Zhang. 2024 · 2024
Later among the works it cites.
Sade: A speaker-aware dual encoding model based on diagbert for medical triage and pre-diagnosis
Haozhou Li, Xinyuan Wang, Hongkai Du, Wentong Sun, and Qinke Peng. 2024 · 2024
Later among the works it cites.
Haoyue Bai, Guodong Chen, Wangyang Ying, Xinyuan Wang, Nanxu Gong, Sixun Dong, Giulia Pedrielli, Haoyu Wang, Haifeng Chen, and Yanjie Fu. 2025 · 2025
Closest in time.
Reasoning to learn from latent thoughts
Yangjun Ruan, Neil Band, Chris J Maddison, and Tatsunori Hashimoto. 2025 · 2025
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Reasoning with latent thoughts: On the power of looped transformers
Nikunj Saunshi, Nishanth Dikkala, Zhiyuan Li, Sanjiv Kumar, and Sashank J Reddi. 2025 · 2025
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Think before recommend: Unleashing the latent reasoning power for sequential recommendation
Jiakai Tang, Sunhao Dai, Teng Shi, Jun Xu, Xu Chen, Wen Chen, Wu Jian, and Yuning Jiang. 2025 · 2025
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Self-enhanced reasoning training: Activating latent reasoning in small models for enhanced reasoning distillation
Yong Zhang, Bingyuan Zhang, Zhitao Li, Ming Li, Ning Cheng, Minchuan Chen, Tao Wei, Jun Ma, Shaojun Wang, and Jing Xiao. 2025 · 2025
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