Dexun Li

According to our database, Dexun Li authored at least 27 papers between 2012 and 2026.

Collaborative distances:

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

2026

Efficient Unsupervised Environment Design through Hierarchical Policy Representation Learning.

Dexun Li, Sidney Tio, Pradeep Varakantham

CoRR, February, 2026

SRR-Judge: Step-Level Rating and Refinement for Enhancing Search-Integrated Reasoning in Search Agents.

Chen Zhang, Kuicai Dong, Dexun Li, Wenjun Li, Qu Yang, Wei Han, Yong Liu

CoRR, February, 2026

Doc-Researcher: A Unified System for Multimodal Document Parsing and Deep Research.

Kuicai Dong, Shurui Huang, Fangda Ye, Wei Han, Zhi Zhang, Dexun Li, Wenjun Li, Qu Yang, Gang Wang, Yichao Wang, Chen Zhang, Yong Liu

Proceedings of the ACM Web Conference 2026, 2026

2025

Doc-Researcher: A Unified System for Multimodal Document Parsing and Deep Research.

Kuicai Dong, Shurui Huang, Fangda Ye, Wei Han, Zhi Zhang, Dexun Li, Wenjun Li, Qu Yang, Gang Wang, Yichao Wang, Chen Zhang, Yong Liu

CoRR, October, 2025

Reinforcement Learning Foundations for Deep Research Systems: A Survey.

Wenjun Li, Zhi Chen, Jingru Lin, Hannan Cao, Wei Han, Sheng Liang, Zhi Zhang, Kuicai Dong, Dexun Li, Chen Zhang, Yong Liu

CoRR, September, 2025

ACEBench: Who Wins the Match Point in Tool Learning?

Chen Chen, Xinlong Hao, Weiwen Liu, Xu Huang, Xingshan Zeng, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Yuefeng Huang, Wulong Liu, Xinzhi Wang, Defu Lian, Baoqun Yin, Yasheng Wang, Wu Liu

CoRR, January, 2025

MMDocIR: Benchmarking Multi-Modal Retrieval for Long Documents.

Kuicai Dong, Yujing Chang, Derrick-Goh-Xin Deik, Dexun Li, Ruiming Tang, Yong Liu

CoRR, January, 2025

EduQate: Generating Adaptive Curricula through RMABs in Education Settings.

Sidney Tio, Dexun Li, Pradeep Varakantham

Proceedings of the 24th International Conference on Autonomous Agents and Multiagent Systems, 2025

ToolACE: Winning the Points of LLM Function Calling.

Weiwen Liu, Xu Huang, Xingshan Zeng, Xinlong Hao, Shuai Yu, Dexun Li, Shuai Wang, Weinan Gan, Zhengying Liu, Yuanqing Yu, Zezhong Wang, Yuxian Wang, Wu Ning, Yutai Hou, Bin Wang, Chuhan Wu, Xinzhi Wang, Yong Liu, Yasheng Wang, Duyu Tang, Dandan Tu, Lifeng Shang, Xin Jiang, Ruiming Tang, Defu Lian, Qun Liu, Enhong Chen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

MMDocIR: Benchmarking Multimodal Retrieval for Long Documents.

Kuicai Dong, Yujing Chang, Derrick-Goh-Xin Deik, Dexun Li, Ruiming Tang, Yong Liu

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

ACEBench: A Comprehensive Evaluation of LLM Tool Usage.

Chen Chen, Xinlong Hao, Weiwen Liu, Xu Huang, Xingshan Zeng, Shuai Yu, Dexun Li, Yuefeng Huang, Xiangcheng Liu, Xinzhi Wang, Wu Liu

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

Planning with Multi-Constraints via Collaborative Language Agents.

Cong Zhang, Derrick-Goh-Xin Deik, Dexun Li, Hao Zhang, Yong Liu

Proceedings of the 31st International Conference on Computational Linguistics, 2025

Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger.

Wenjun Li, Dexun Li, Kuicai Dong, Cong Zhang, Hao Zhang, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Liu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery.

Hongchao Gu, Dexun Li, Kuicai Dong, Hao Zhang, Hang Lv, Hao Wang, Defu Lian, Yong Liu, Enhong Chen

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

Marginal Benefit Driven RL Teacher for Unsupervised Environment Design.

Dexun Li, Wenjun Li, Pradeep Varakantham

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Meta-Task Planning for Language Agents.

Cong Zhang, Derrick-Goh-Xin Deik, Dexun Li, Hao Zhang, Yong Liu

CoRR, 2024

Aligning Crowd Feedback via Distributional Preference Reward Modeling.

Dexun Li, Cong Zhang, Kuicai Dong, Derrick-Goh-Xin Deik, Ruiming Tang, Yong Liu

CoRR, 2024

2023

A Hierarchical Approach to Environment Design with Generative Trajectory Modeling.

Dexun Li, Pradeep Varakantham

CoRR, 2023

Diversity Induced Environment Design via Self-Play.

Dexun Li, Wenjun Li, Pradeep Varakantham

CoRR, 2023

Effective Diversity in Unsupervised Environment Design.

Wenjun Li, Pradeep Varakantham, Dexun Li

CoRR, 2023

Generalization through Diversity: Improving Unsupervised Environment Design.

Wenjun Li, Pradeep Varakantham, Dexun Li

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

Avoiding Starvation of Arms in Restless Multi-Armed Bandits.

Dexun Li, Pradeep Varakantham

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Hidden State Approximation in Recurrent Neural Networks Using Continuous Particle Filtering.

Dexun Li

CoRR, 2022

Towards Soft Fairness in Restless Multi-Armed Bandits.

Dexun Li, Pradeep Varakantham

CoRR, 2022

Efficient resource allocation with fairness constraints in restless multi-armed bandits.

Dexun Li, Pradeep Varakantham

Proceedings of the Uncertainty in Artificial Intelligence, 2022

2021

CLAIM: curriculum learning policy for influence maximization in unknown social networks.

Dexun Li, Meghna Lowalekar, Pradeep Varakantham

Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021

2012

A Management Structures of Concepts Based on Ontology.

Dexun Li, Jinglian Gao

Proceedings of the Chinese Lexical Semantics - 13th Workshop, 2012