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Temporal reasoning in multi-session dialogues presents a significant challenge which has been under-studied in previous temporal reasoning benchmarks.
A survey on temporal reasoning in artificial intelligence
Lluis Vila. 1994 · 1994
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Know what you don’t know: Unanswerable questions for squad
Pranav Rajpurkar, Robin Jia, and Percy Liang. 2018 · 2018
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Thinking in and about time: A dual systems perspective on temporal cognition
Christoph Hoerl and Teresa McCormack. 2019 · 2019
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Abstractive timeline summarization
Julius Steen and Katja Markert. 2019 · 2019
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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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A dataset for answering time-sensitive questions
Wenhu Chen, Xinyi Wang, and William Yang Wang. 2021 · 2021
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Timedial: Temporal commonsense reasoning in dialog
Lianhui Qin, Aditya Gupta, Shyam Upadhyay, Luheng He, Yejin Choi, and Manaal Faruqui. 2021 · 2021
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Temporal reasoning on implicit events from distant supervision
Ben Zhou, Kyle Richardson, Qiang Ning, Tushar Khot, Ashish Sabharwal, and Dan Roth. 2021 · 2021
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Keep me updated! memory management in long-term conversations
Sanghwan Bae, Donghyun Kwak, Soyoung Kang, Min Young Lee, Sungdong Kim, Yuin Jeong, Hyeri Kim, Sang-Woo Lee, Woomyoung Park, and Nako Sung. 2022 · 2022
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Folio: Natural language reasoning with first-order logic
Simeng Han, Hailey Schoelkopf, Yilun Zhao, Zhenting Qi, Martin Riddell, Luke Benson, Lucy Sun, Ekaterina Zubova, Yujie Qiao, Matthew Burtell, David Peng, Jonathan Fan, Yixin Liu, Brian Wong, Malcolm Sailor, Ansong Ni, Linyong Nan, Jungo Kasai, Tao Yu, Rui Zhang, Shafiq Joty, Alexander R. Fabbri, Wojciech Kryscinski, Xi Victoria Lin, Caiming Xiong, and Dragomir Radev. 2022 · 2022
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Attention-focused adversarial training for robust temporal reasoning
Lis Kanashiro Pereira. 2022 · 2022
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Crisisltlsum: A benchmark for local crisis event timeline extraction and summarization
Hossein Rajaby Faghihi, Bashar Alhafni, Ke Zhang, Shihao Ran, Joel Tetreault, and Alejandro Jaimes. 2022 · 2022
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022 · 2022
Cited alongside, same era.
Beyond goldfish memory: Long-term open-domain conversation
Jing Xu, Arthur Szlam, and Jason Weston. 2022 · 2022
Cited alongside, same era.
Towards reasoning in large language models: A survey
Jie Huang and Kevin Chen-Chuan Chang. 2023 · 2023
Cited alongside, same era.
Conversation chronicles: Towards diverse temporal and relational dynamics in multi-session conversations
Jihyoung Jang, Minseong Boo, and Hyounghun Kim. 2023 · 2023
Cited alongside, same era.
Towards benchmarking and improving the temporal reasoning capability of large language models
Qingyu Tan, Hwee Tou Ng, and Lidong Bing. 2023 · 2023
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Enhancing large language model with self-controlled memory framework
Bing Wang, Xinnian Liang, Jian Yang, Hui Huang, Shuangzhi Wu, Peihao Wu, Lu Lu, Zejun Ma, and Zhoujun Li. 2023 · 2023
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Once upon a 𝑡𝑖𝑚𝑒 {\it time} in 𝑔𝑟𝑎𝑝ℎ {\it graph} : Relative-time pretraining for complex temporal reasoning
Sen Yang, Xin Li, Lidong Bing, and Wai Lam. 2023 · 2023
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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. 2024 · 2024
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Evaluating very long-term conversational memory of LLM agents
Adyasha Maharana, Dong-Ho Lee, Sergey Tulyakov, Mohit Bansal, Francesco Barbieri, and Yuwei Fang. 2024 · 2024
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Xingxuan Li, Liying Cheng, Qingyu Tan, Hwee Tou Ng, Shafiq Joty, and Lidong Bing. 2023 · 2023
Cited alongside, same era.
Memochat: Tuning llms to use memos for consistent long-range open-domain conversation
Junru Lu, Siyu An, Mingbao Lin, Gabriele Pergola, Yulan He, Di Yin, Xing Sun, and Yunsheng Wu. 2023 · 2023
Cited alongside, same era.
Linc: A neurosymbolic approach for logical reasoning by combining language models with first-order logic provers
Theo Olausson, Alex Gu, Ben Lipkin, Cedegao Zhang, Armando Solar-Lezama, Joshua Tenenbaum, and Roger Levy. 2023 · 2023
Cited alongside, same era.
Memgpt: Towards llms as operating systems
Charles Packer, Vivian Fang, Shishir G Patil, Kevin Lin, Sarah Wooders, and Joseph E Gonzalez. 2023 · 2023
Cited alongside, same era.
Logic-lm: Empowering large language models with symbolic solvers for faithful logical reasoning
Liangming Pan, Alon Albalak, Xinyi Wang, and William Wang. 2023 · 2023
Cited alongside, same era.
Supervised fine-tuning of large language models on human demonstrations through the lens of memorization
Yubin Ge, Devamanyu Hazarika, Yang Liu, and Mahdi Namazifar. 2023a
Cited in the paper.
What should i ask: A knowledge-driven approach for follow-up questions generation in conversational surveys
Yubin Ge, Ziang Xiao, Jana Diesner, Heng Ji, Karrie Karahalios, and Hari Sundaram. 2023b
Cited in the paper.
Later among the works it cites.
Are large language model temporally grounded?
Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo Ponti, and Shay B Cohen. 2024 · 2024
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Timeline summarization in the era of llms
Daivik Sojitra, Raghav Jain, Sriparna Saha, Adam Jatowt, and Manish Gupta. 2024 · 2024
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TRAM: Benchmarking temporal reasoning for large language models
Yuqing Wang and Yun Zhao. 2024 · 2024
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Large language models can learn temporal reasoning
Siheng Xiong, Ali Payani, Ramana Kompella, and Faramarz Fekri. 2024 · 2024
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Memorybank: Enhancing large language models with long-term memory
Wanjun Zhong, Lianghong Guo, Qiqi Gao, He Ye, and Yanlin Wang. 2024 · 2024
Later among the works it cites.