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Temporal reasoning is fundamental for large language models (LLMs) to comprehend the world.
Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al. 2020 · 1901
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The timebank corpus
J PUSTEJOVSKY. 2003 · 2003
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Timeml: Robust specification of event and temporal expressions in text
James Pustejovsky, Robert Ingria, Andrea Setzer, and Graham Katz. 2003 · 2003
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Tempeval-3: Evaluating events, time expressions, and temporal relations
Naushad UzZaman, Hector Llorens, James F. Allen, Leon Derczynski, Marc Verhagen, and James Pustejovsky. 2012 · 2012
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Wikidata: A free collaborative knowledge base
Denny Vrandečić and Markus Krötzsch. 2014 · 2014
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SQuAD: 100,000+ questions for machine comprehension of text
Pranav Rajpurkar, Jian Zhang, Konstantin Lopyrev, and Percy Liang. 2016 · 2016
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“going on a vacation” takes longer than “going for a walk”: A study of temporal commonsense understanding
Ben Zhou, Daniel Khashabi, Qiang Ning, and Dan Roth. 2019 · 2019
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Transformers: State-of-the-art natural language processing
Thomas Wolf, Lysandre Debut, Victor Sanh, Julien Chaumond, Clement Delangue, Anthony Moi, Pierric Cistac, Tim Rault, Remi Louf, Morgan Funtowicz, Joe Davison, Sam Shleifer, Patrick von Platen, Clara Ma, Yacine Jernite, Julien Plu, Canwen Xu, Teven Le Scao, Sylvain Gugger, Mariama Drame, Quentin Lhoest, and Alexander Rush. 2020 · 2020
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A dataset for answering time-sensitive questions
Wenhu Chen, Xinyi Wang, and William Yang Wang. 2021 · 2021
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Hacred: A large-scale relation extraction dataset toward hard cases in practical applications
Qiao Cheng, Juntao Liu, Xiaoye Qu, Jin Zhao, Jiaqing Liang, Zhefeng Wang, Baoxing Huai, Nicholas Jing Yuan, and Yanghua Xiao. 2021 · 2021
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ECONET: Effective continual pretraining of language models for event temporal reasoning
Rujun Han, Xiang Ren, and Nanyun Peng. 2021 · 2021
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SituatedQA: Incorporating extra-linguistic contexts into QA
Michael Zhang and Eunsol Choi. 2021 · 2021
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Time-aware language models as temporal knowledge bases
Bhuwan Dhingra, Jeremy R. Cole, Julian Martin Eisenschlos, Daniel Gillick, Jacob Eisenstein, and William W. Cohen. 2022 · 2022
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Delving deep into regularity: a simple but effective method for chinese named entity recognition
Yingjie Gu, Xiaoye Qu, Zhefeng Wang, Yi Zheng, Baoxing Huai, and Nicholas Jing Yuan. 2022 · 2022
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Realtime qa: What’s the answer right now?
Jungo Kasai, Keisuke Sakaguchi, Yoichi Takahashi, Ronan Le Bras, Akari Asai, Xinyan Yu, Dragomir Radev, Noah A Smith, Yejin Choi, and Kentaro Inui. 2022 · 2022
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Large language models are zero-shot reasoners
Takeshi Kojima, Shixiang (Shane) Gu, Machel Reid, Yutaka Matsuo, and Yusuke Iwasawa. 2022 · 2022
Earlier work this paper cites.
Reasoning over different types of knowledge graphs: Static, temporal and multi-modal
Ke Liang, Lingyuan Meng, Meng Liu, Yue Liu, Wenxuan Tu, Siwei Wang, Sihang Zhou, Xinwang Liu, and Fuchun Sun. 2022 · 2022
Cited alongside, same era.
Streamingqa: A benchmark for adaptation to new knowledge over time in question answering models
Adam Liska, Tomas Kocisky, Elena Gribovskaya, Tayfun Terzi, Eren Sezener, Devang Agrawal, D’Autume Cyprien De Masson, Tim Scholtes, Manzil Zaheer, Susannah Young, et al. 2022 · 2022
Cited alongside, same era.
Tempoqr: Temporal question reasoning over knowledge graphs
Costas Mavromatis, Prasanna Lakkur Subramanyam, Vassilis N. Ioannidis, Adesoji Adeshina, Phillip R Howard, Tetiana Grinberg, Nagib Hakim, and George Karypis. 2022 · 2022
Cited alongside, same era.
LILA: A unified benchmark for mathematical reasoning
Swaroop Mishra, Matthew Finlayson, Pan Lu, Leonard Tang, Sean Welleck, Chitta Baral, Tanmay Rajpurohit, Oyvind Tafjord, Ashish Sabharwal, Peter Clark, and Ashwin Kalyan. 2022 · 2022
Cited alongside, same era.
Training language models to follow instructions with human feedback
A survey of deep learning for mathematical reasoning
Pan Lu, Liang Qiu, Wenhao Yu, Sean Welleck, and Kai-Wei Chang. 2023 · 2023
Later among the works it cites.
OpenAI. 2023 · 2023
Later among the works it cites.
Distantly-supervised named entity recognition with adaptive teacher learning and fine-grained student ensemble
Xiaoye Qu, Jun Zeng, Daizong Liu, Zhefeng Wang, Baoxing Huai, and Pan Zhou. 2023 · 2023
Later among the works it cites.
Code llama: Open foundation models for code
Baptiste Roziere, Jonas Gehring, Fabian Gloeckle, Sten Sootla, Itai Gat, Xiaoqing Ellen Tan, Yossi Adi, Jingyu Liu, Tal Remez, Jérémy Rapin, et al. 2023 · 2023
Later among the works it cites.
Efficient continue training of temporal language model with structural information
Zhaochen Su, Juntao Li, Zikang Zhang, Zihan Zhou, and Min Zhang. 2023 · 2023
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Long Ouyang, Jeffrey Wu, Xu Jiang, Diogo Almeida, Carroll Wainwright, Pamela Mishkin, Chong Zhang, Sandhini Agarwal, Katarina Slama, Alex Ray, et al. 2022 · 2022
Cited alongside, same era.
Improving temporal generalization of pre-trained language models with lexical semantic change
Zhaochen Su, Zecheng Tang, Xinyan Guan, Lijun Wu, Min Zhang, and Juntao Li. 2022 · 2022
Cited alongside, same era.
Romqa: A benchmark for robust, multi-evidence, multi-answer question answering
Victor Zhong, Weijia Shi, Wen tau Yih, and Luke Zettlemoyer. 2022 · 2022
Cited alongside, same era.
Gqa: Training generalized multi-query transformer models from multi-head checkpoints
Joshua Ainslie, James Lee-Thorp, Michiel de Jong, Yury Zemlyanskiy, Federico Lebrón, and Sumit Sanghai. 2023 · 2023
Cited alongside, same era.
A survey on evaluation of large language models
Yupeng Chang, Xu Wang, Jindong Wang, Yuan Wu, Linyi Yang, Kaijie Zhu, Hao Chen, Xiaoyuan Yi, Cunxiang Wang, Yidong Wang, Wei Ye, Yue Zhang, Yi Chang, Philip S. Yu, Qiang Yang, and Xing Xie. 2023 · 2023
Cited alongside, same era.
Large language models are few(1)-shot table reasoners
Wenhu Chen. 2023 · 2023
Cited alongside, same era.
Multi-granularity temporal question answering over knowledge graphs
Ziyang Chen, Jinzhi Liao, and Xiang Zhao. 2023 · 2023
Cited alongside, same era.
Timebench: A comprehensive evaluation of temporal reasoning abilities in large language models
Zheng Chu, Jingchang Chen, Qianglong Chen, Weijiang Yu, Haotian Wang, Ming Liu, and Bing Qin. 2023 · 2023
Cited alongside, same era.
Later among the works it cites.
Towards benchmarking and improving the temporal reasoning capability of large language models
Qingyu Tan, Hwee Tou Ng, and Lidong Bing. 2023 · 2023
Later among the works it cites.
Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al. 2023 · 2023
Later among the works it cites.
Tram: Benchmarking temporal reasoning for large language models
Yuqing Wang and Yun Zhao. 2023 · 2023
Later among the works it cites.
Yifan Wei, Yisong Su, Huanhuan Ma, Xiaoyan Yu, Fangyu Lei, Yuanzhe Zhang, Jun Zhao, and Kang Liu. 2023 · 2023
Later among the works it cites.
Wizardlm: Empowering large language models to follow complex instructions
Can Xu, Qingfeng Sun, Kai Zheng, Xiubo Geng, Pu Zhao, Jiazhan Feng, Chongyang Tao, and Daxin Jiang. 2023 · 2023
Later among the works it cites.
Back to the future: Towards explainable temporal reasoning with large language models
Chenhan Yuan, Qianqian Xie, Jimin Huang, and Sophia Ananiadou. 2023 · 2023
Later among the works it cites.
Multimodal chain-of-thought reasoning in language models
Zhuosheng Zhang, Aston Zhang, Mu Li, Hai Zhao, George Karypis, and Alex Smola. 2023 · 2023
Later among the works it cites.
A survey of large language models
Wayne Xin Zhao, Kun Zhou, Junyi Li, Tianyi Tang, Xiaolei Wang, Yupeng Hou, Yingqian Min, Beichen Zhang, Junjie Zhang, Zican Dong, et al. 2023 · 2023
Later among the works it cites.
Can ai assistants know what they don’t know?
Qinyuan Cheng, Tianxiang Sun, Xiangyang Liu, Wenwei Zhang, Zhangyue Yin, Shimin Li, Linyang Li, Zhengfu He, Kai Chen, and Xipeng Qiu. 2024 · 2024
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Joint multi-facts reasoning network for complex temporal question answering over knowledge graph
Rikui Huang, Wei Wei, Xiaoye Qu, Wenfeng Xie, Xianling Mao, and Dangyang Chen. 2024 · 2024
Closest in time.