Xingxuan Li

According to our database, Xingxuan Li authored at least 29 papers between 2018 and 2026.

Collaborative distances:

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

2026

Visual Generation in the New Era: An Evolution from Atomic Mapping to Agentic World Modeling.

Keming Wu, Zuhao Yang, Kaichen Zhang, Shizun Wang, Haowei Zhu, Sicong Leng, Zhongyu Yang, Qijie Wang, Sudong Wang, Ziting Wang, Zili Wang, Hui Zhang, Haonan Wang, Hang Zhou, Yifan Pu, Xingxuan Li, Fangneng Zhan, Bo Li, Lidong Bing, Yuxin Song, Ziwei Liu, Wenhu Chen, Jingdong Wang, Xinchao Wang, Xiaojuan Qi, Shijian Lu, Bin Wang

CoRR, April, 2026

PhysSkin: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning.

Yuanhang Lei, Tao Cheng, Xingxuan Li, Boming Zhao, Siyuan Huang, Ruizhen Hu, Peter Yichen Chen, Hujun Bao, Zhaopeng Cui

CoRR, March, 2026

DiffWind: Physics-Informed Differentiable Modeling of Wind-Driven Object Dynamics.

Yuanhang Lei, Boming Zhao, Zesong Yang, Xingxuan Li, Tao Cheng, Haocheng Peng, Ru Zhang, Yang Yang, Siyuan Huang, Yujun Shen, Ruizhen Hu, Hujun Bao, Zhaopeng Cui

CoRR, March, 2026

2025

LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling.

Zuhao Yang, Sudong Wang, Kaichen Zhang, Keming Wu, Sicong Leng, Yifan Zhang, Bo Li, Chengwei Qin, Shijian Lu, Xingxuan Li, Lidong Bing

CoRR, November, 2025

OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe.

Kaichen Zhang, Keming Wu, Zuhao Yang, Bo Li, Kairui Hu, Bin Wang, Ziwei Liu, Xingxuan Li, Lidong Bing

CoRR, November, 2025

Multi-Agent Tool-Integrated Policy Optimization.

Zhanfeng Mo, Xingxuan Li, Yuntao Chen, Lidong Bing

CoRR, October, 2025

MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization.

Xingxuan Li, Yao Xiao, Dianwen Ng, Hai Ye, Yue Deng, Xiang Lin, Bin Wang, Zhanfeng Mo, Chong Zhang, Yueyi Zhang, Zonglin Yang, Ruilin Li, Lei Lei, Shihao Xu, Han Zhao, Weiling Chen, Feng Ji, Lidong Bing

CoRR, July, 2025

100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models.

Chong Zhang, Yue Deng, Xiang Lin, Bin Wang, Dianwen Ng, Hai Ye, Xingxuan Li, Yao Xiao, Zhanfeng Mo, Qi Zhang, Lidong Bing

CoRR, May, 2025

MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs.

Juncheng Wu, Wenlong Deng, Xingxuan Li, Sheng Liu, Taomian Mi, Yifan Peng, Ziyang Xu, Yi Liu, Hyunjin Cho, Changin Choi, Yihan Cao, Hui Ren, Xiang Li, Xiaoxiao Li, Yuyin Zhou

CoRR, April, 2025

A Comprehensive Survey of Contamination Detection Methods in Large Language Models.

Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty

Trans. Mach. Learn. Res., 2025

ParaICL: Towards Parallel In-Context Learning.

Xingxuan Li, Xuan-Phi Nguyen, Shafiq Joty, Lidong Bing

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents.

Long Li, Weiwen Xu, Jiayan Guo, Ruochen Zhao, Xingxuan Li, Yuqian Yuan, Boqiang Zhang, Yuming Jiang, Yifei Xin, Ronghao Dang, Yu Rong, Deli Zhao, Tian Feng, Lidong Bing

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

Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks.

Xingxuan Li, Weiwen Xu, Ruochen Zhao, Fangkai Jiao, Shafiq Joty, Lidong Bing

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

2024

How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library.

Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty

CoRR, 2024

ParaICL: Towards Robust Parallel In-Context Learning.

Xingxuan Li, Xuan-Phi Nguyen, Shafiq Joty, Lidong Bing

CoRR, 2024

IAS-FET: An intelligent assistant system and an online platform for enhancing successful rate of in-vitro fertilization embryo transfer technology based on clinical features.

Ying Ma, Bowen Zhang, Zhaoqing Liu, Yujie Liu, Jiarui Wang, Xingxuan Li, Fan Feng, Yali Ni, Shuyan Li

Comput. Methods Programs Biomed., 2024

Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources.

Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Shafiq Joty, Soujanya Poria, Lidong Bing

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Evaluating Psychological Safety of Large Language Models.

Xingxuan Li, Yutong Li, Lin Qiu, Shafiq Joty, Lidong Bing

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

SeaLLMs - Large Language Models for Southeast Asia.

Xuan-Phi Nguyen, Wenxuan Zhang, Xin Li, Mahani Aljunied, Zhiqiang Hu, Chenhui Shen, Yew Ken Chia, Xingxuan Li, Jianyu Wang, Qingyu Tan, Liying Cheng, Guanzheng Chen, Yue Deng, Sen Yang, Chaoqun Liu, Hang Zhang, Lidong Bing

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 3: System Demonstrations), 2024

2023

ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up?

Hailin Chen, Fangkai Jiao, Xingxuan Li, Chengwei Qin, Mathieu Ravaut, Ruochen Zhao, Caiming Xiong, Shafiq Joty

CoRR, 2023

Unlocking Temporal Question Answering for Large Language Models Using Code Execution.

Xingxuan Li, Liying Cheng, Qingyu Tan, Hwee Tou Ng, Shafiq Joty, Lidong Bing

CoRR, 2023

Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases.

Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Lidong Bing, Shafiq R. Joty, Soujanya Poria

CoRR, 2023

Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of New Generation Search Engines.

Ruochen Zhao, Xingxuan Li, Yew Ken Chia, Bosheng Ding, Lidong Bing

CoRR, 2023

Retrieving Multimodal Information for Augmented Generation: A Survey.

Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Do Xuan Long, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq Joty

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

Is GPT-4 a Good Data Analyst?

Liying Cheng, Xingxuan Li, Lidong Bing

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

Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework.

Ruochen Zhao, Xingxuan Li, Shafiq Joty, Chengwei Qin, Lidong Bing

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations.

Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Shafiq Joty, Luo Si, Lidong Bing

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective.

Xingxuan Li, Yutong Li, Linlin Liu, Lidong Bing, Shafiq R. Joty

CoRR, 2022

2018

YEDDA: A Lightweight Collaborative Text Span Annotation Tool.

Jie Yang, Yue Zhang, Linwei Li, Xingxuan Li

Proceedings of ACL 2018, Melbourne, Australia, July 15-20, 2018, System Demonstrations, 2018