Hainiu Xu

According to our database, Hainiu Xu authored at least 14 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

SymbolicThought: Integrating Language Models and Symbolic Reasoning for Consistent and Interpretable Human Relationship Understanding.

Runcong Zhao, Qinglin Zhu, Hainiu Xu, Bin Liang, Lin Gui, Yulan He

CoRR, July, 2025

EvolvTrip: Enhancing Literary Character Understanding with Temporal Theory-of-Mind Graphs.

Bohao Yang, Hainiu Xu, Jinhua Du, Ze Li, Yulan He, Chenghua Lin

CoRR, June, 2025

Modeling Subjectivity in Cognitive Appraisal with Language Models.

Yuxiang Zhou, Hainiu Xu, Desmond C. Ong, Petr Slovák, Yulan He

CoRR, March, 2025

EnigmaToM: Improve LLMs' Theory-of-Mind Reasoning Capabilities with Neural Knowledge Base of Entity States.

Hainiu Xu, Siya Qi, Jiazheng Li, Yuxiang Zhou, Jinhua Du, Caroline Catmur, Yulan He

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

Calibrating LLMs with Preference Optimization on Thought Trees for Generating Rationale in Science Question Scoring.

Jiazheng Li, Hainiu Xu, Zhaoyue Sun, Yuxiang Zhou, David West, Cesare Aloisi, Yulan He

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

OpenPI2.0: An Improved Dataset for Entity Tracking in Texts.

Li Zhang, Hainiu Xu, Abhinav Kommula, Chris Callison-Burch, Niket Tandon

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

Large Language Models Fall Short: Understanding Complex Relationships in Detective Narratives.

Runcong Zhao, Qinglin Zhu, Hainiu Xu, Jiazheng Li, Yuxiang Zhou, Yulan He, Lin Gui

Proceedings of the Findings of the Association for Computational Linguistics, 2024

OpenToM: A Comprehensive Benchmark for Evaluating Theory-of-Mind Reasoning Capabilities of Large Language Models.

Hainiu Xu, Runcong Zhao, Lixing Zhu, Jinhua Du, Yulan He

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Towards Unified Task Embeddings Across Multiple Models: Bridging the Gap for Prompt-Based Large Language Models and Beyond.

Xinyu Wang, Hainiu Xu, Lin Gui, Yulan He

Proceedings of the Findings of the Association for Computational Linguistics, 2024

RAID: A Shared Benchmark for Robust Evaluation of Machine-Generated Text Detectors.

Liam Dugan, Alyssa Hwang, Filip Trhlík, Andrew Zhu, Josh Magnus Ludan, Hainiu Xu, Daphne Ippolito, Chris Callison-Burch

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Exploring the Curious Case of Code Prompts.

Li Zhang, Liam Dugan, Hainiu Xu, Chris Callison-Burch

CoRR, 2023

Human-in-the-Loop Schema Induction.

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

CoRR, 2023

Causal Reasoning of Entities and Events in Procedural Texts.

Li Zhang, Hainiu Xu, Yue Yang, Shuyan Zhou, Weiqiu You, Manni Arora, Chris Callison-Burch

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023

Human-in-the-loop Schema Induction.

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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics: System Demonstrations, 2023