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Hainiu Xu
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2020 – today
- 2024
- [c8]Runcong Zhao, Qinglin Zhu, Hainiu Xu, Jiazheng Li, Yuxiang Zhou, Yulan He, Lin Gui:
Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives. ACL (Findings) 2024: 7618-7638 - [c7]Xinyu Wang, Hainiu Xu, Lin Gui, Yulan He:
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond. ACL (Findings) 2024: 8324-8340 - [c6]Hainiu Xu, Runcong Zhao, Lixing Zhu, Jinhua Du, Yulan He:
OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models. ACL (1) 2024: 8593-8623 - [c5]Liam Dugan, Alyssa Hwang, Filip Trhlík, Andrew Zhu, Josh Magnus Ludan, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch:
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors. ACL (1) 2024: 12463-12492 - [c4]Li Zhang, Hainiu Xu, Abhinav Kommula, Chris Callison-Burch, Niket Tandon:
OpenPI2.0: An Improved Dataset for Entity Tracking in Texts. EACL (1) 2024: 166-178 - [c3]Jiazheng Li, Hainiu Xu, Zhaoyue Sun, Yuxiang Zhou, David West, Cesare Aloisi, Yulan He:
Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring. EMNLP (Findings) 2024: 5452-5479 - [i9]Hainiu Xu, Runcong Zhao, Lixing Zhu, Jinhua Du, Yulan He:
OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models. CoRR abs/2402.06044 (2024) - [i8]Runcong Zhao, Qinglin Zhu, Hainiu Xu, Jiazheng Li, Yuxiang Zhou, Yulan He, Lin Gui:
Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives. CoRR abs/2402.11051 (2024) - [i7]Xinyu Wang, Hainiu Xu, Lin Gui, Yulan He:
Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond. CoRR abs/2402.14522 (2024) - [i6]Liam Dugan, Alyssa Hwang, Filip Trhlík, Josh Magnus Ludan, Andrew Zhu, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch:
RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors. CoRR abs/2405.07940 (2024) - [i5]Jiazheng Li, Hainiu Xu, Zhaoyue Sun, Yuxiang Zhou, David West, Cesare Aloisi, Yulan He:
Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring. CoRR abs/2406.19949 (2024) - 2023
- [c2]Tianyi Zhang, Isaac Tham, Zhaoyi Hou, Jiaxuan Ren, Leon Zhou, Hainiu Xu, Li Zhang, Lara J. Martin
, Rotem Dror, Sha Li, Heng Ji, Martha Palmer, Susan Windisch Brown, Reece Suchocki, Chris Callison-Burch:
Human-in-the-loop Schema Induction. ACL (demo) 2023: 1-10 - [c1]Li Zhang, Hainiu Xu, Yue Yang, Shuyan Zhou, Weiqiu You, Manni Arora, Chris Callison-Burch:
Causal Reasoning of Entities and Events in Procedural Texts. EACL (Findings) 2023: 415-431 - [i4]Li Zhang, Hainiu Xu, Yue Yang, Shuyan Zhou, Weiqiu You, Manni Arora, Chris Callison-Burch:
Causal Reasoning of Entities and Events in Procedural Texts. CoRR abs/2301.10896 (2023) - [i3]Tianyi Zhang, Isaac Tham, Zhaoyi Hou, Jiaxuan Ren, Liyang Zhou, Hainiu Xu, Li Zhang, Lara J. Martin, Rotem Dror, Sha Li, Heng Ji, Martha Palmer, Susan Windisch Brown, Reece Suchocki, Chris Callison-Burch:
Human-in-the-Loop Schema Induction. CoRR abs/2302.13048 (2023) - [i2]Li Zhang, Liam Dugan, Hainiu Xu, Chris Callison-Burch:
Exploring the Curious Case of Code Prompts. CoRR abs/2304.13250 (2023) - [i1]Li Zhang, Hainiu Xu, Abhinav Kommula, Niket Tandon, Chris Callison-Burch:
OpenPI2.0: An Improved Dataset for Entity Tracking in Texts. CoRR abs/2305.14603 (2023)
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