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Xingxuan Li
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2020 – today
- 2026
- [i21]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:
DiffWind: Physics-Informed Differentiable Modeling of Wind-Driven Object Dynamics. CoRR abs/2603.09668 (2026) - [i20]Yuanhang Lei, Tao Cheng, Xingxuan Li, Boming Zhao, Siyuan Huang, Ruizhen Hu, Peter Yichen Chen, Hujun Bao, Zhaopeng Cui:
PhysSkin: Real-Time and Generalizable Physics-Based Animation via Self-Supervised Neural Skinning. CoRR abs/2603.23194 (2026) - 2025
- [j2]Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty:
A Comprehensive Survey of Contamination Detection Methods in Large Language Models. Trans. Mach. Learn. Res. 2025 (2025) - [c11]Xingxuan Li, Weiwen Xu, Ruochen Zhao, Fangkai Jiao, Shafiq Joty, Lidong Bing:
Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks. ACL (1) 2025: 25589-25604 - [c10]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:
Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents. EMNLP (Findings) 2025: 8971-9004 - [c9]Xingxuan Li, Xuan-Phi Nguyen, Shafiq Joty, Lidong Bing:
ParaICL: Towards Parallel In-Context Learning. NAACL (Long Papers) 2025: 12501-12511 - [i19]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
:
MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge Graphs. CoRR abs/2504.00993 (2025) - [i18]Chong Zhang, Yue Deng, Xiang Lin, Bin Wang, Dianwen Ng, Hai Ye, Xingxuan Li, Yao Xiao, Zhanfeng Mo, Qi Zhang, Lidong Bing:
100 Days After DeepSeek-R1: A Survey on Replication Studies and More Directions for Reasoning Language Models. CoRR abs/2505.00551 (2025) - [i17]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:
MiroMind-M1: An Open-Source Advancement in Mathematical Reasoning via Context-Aware Multi-Stage Policy Optimization. CoRR abs/2507.14683 (2025) - [i16]Zhanfeng Mo, Xingxuan Li, Yuntao Chen, Lidong Bing:
Multi-Agent Tool-Integrated Policy Optimization. CoRR abs/2510.04678 (2025) - [i15]Kaichen Zhang, Keming Wu, Zuhao Yang, Bo Li, Kairui Hu, Bin Wang, Ziwei Liu, Xingxuan Li, Lidong Bing:
OpenMMReasoner: Pushing the Frontiers for Multimodal Reasoning with an Open and General Recipe. CoRR abs/2511.16334 (2025) - [i14]Zuhao Yang, Sudong Wang, Kaichen Zhang, Keming Wu, Sicong Leng, Yifan Zhang, Bo Li, Chengwei Qin, Shijian Lu, Xingxuan Li, Lidong Bing:
LongVT: Incentivizing "Thinking with Long Videos" via Native Tool Calling. CoRR abs/2511.20785 (2025) - 2024
- [j1]Ying Ma, Bowen Zhang
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. Comput. Methods Programs Biomed. 245: 108050 (2024) - [c8]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
SeaLLMs - Large Language Models for Southeast Asia. ACL (3) 2024: 294-304 - [c7]Xingxuan Li, Yutong Li, Lin Qiu, Shafiq Joty, Lidong Bing:
Evaluating Psychological Safety of Large Language Models. EMNLP 2024: 1826-1843 - [c6]Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Shafiq Joty, Soujanya Poria, Lidong Bing:
Chain-of-Knowledge: Grounding Large Language Models via Dynamic Knowledge Adapting over Heterogeneous Sources. ICLR 2024 - [i13]Xingxuan Li, Xuan-Phi Nguyen, Shafiq Joty, Lidong Bing:
ParaICL: Towards Robust Parallel In-Context Learning. CoRR abs/2404.00570 (2024) - [i12]Mathieu Ravaut, Bosheng Ding, Fangkai Jiao, Hailin Chen, Xingxuan Li, Ruochen Zhao, Chengwei Qin, Caiming Xiong, Shafiq Joty:
How Much are LLMs Contaminated? A Comprehensive Survey and the LLMSanitize Library. CoRR abs/2404.00699 (2024) - [i11]Xingxuan Li, Weiwen Xu, Ruochen Zhao, Fangkai Jiao, Shafiq Joty, Lidong Bing:
Can We Further Elicit Reasoning in LLMs? Critic-Guided Planning with Retrieval-Augmentation for Solving Challenging Tasks. CoRR abs/2410.01428 (2024) - [i10]Long Li, Weiwen Xu, Jiayan Guo, Ruochen Zhao, Xingxuan Li, Yuqian Yuan, Boqiang Zhang, Yuming Jiang, Yifei Xin, Ronghao Dang, Deli Zhao, Yu Rong, Tian Feng, Lidong Bing:
Chain of Ideas: Revolutionizing Research Via Novel Idea Development with LLM Agents. CoRR abs/2410.13185 (2024) - 2023
- [c5]Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Shafiq Joty, Luo Si, Lidong Bing:
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations. ACL (1) 2023: 4799-4816 - [c4]Ruochen Zhao, Xingxuan Li, Shafiq Joty, Chengwei Qin, Lidong Bing:
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework. ACL (1) 2023: 5823-5840 - [c3]Ruochen Zhao, Hailin Chen, Weishi Wang
Retrieving Multimodal Information for Augmented Generation: A Survey. EMNLP (Findings) 2023: 4736-4756 - [c2]Liying Cheng, Xingxuan Li, Lidong Bing:
Is GPT-4 a Good Data Analyst? EMNLP (Findings) 2023: 9496-9514 - [i9]Ruochen Zhao, Hailin Chen, Weishi Wang, Fangkai Jiao, Xuan Long Do, Chengwei Qin, Bosheng Ding, Xiaobao Guo, Minzhi Li, Xingxuan Li, Shafiq R. Joty:
Retrieving Multimodal Information for Augmented Generation: A Survey. CoRR abs/2303.10868 (2023) - [i8]Ruochen Zhao, Xingxuan Li, Yew Ken Chia, Bosheng Ding, Lidong Bing:
Can ChatGPT-like Generative Models Guarantee Factual Accuracy? On the Mistakes of New Generation Search Engines. CoRR abs/2304.11076 (2023) - [i7]Ruochen Zhao, Xingxuan Li, Shafiq R. Joty, Chengwei Qin, Lidong Bing:
Verify-and-Edit: A Knowledge-Enhanced Chain-of-Thought Framework. CoRR abs/2305.03268 (2023) - [i6]Xingxuan Li, Ruochen Zhao, Yew Ken Chia, Bosheng Ding, Lidong Bing, Shafiq R. Joty, Soujanya Poria:
Chain of Knowledge: A Framework for Grounding Large Language Models with Structured Knowledge Bases. CoRR abs/2305.13269 (2023) - [i5]Xingxuan Li, Liying Cheng, Qingyu Tan, Hwee Tou Ng, Shafiq Joty, Lidong Bing:
Unlocking Temporal Question Answering for Large Language Models Using Code Execution. CoRR abs/2305.15014 (2023) - [i4]Liying Cheng, Xingxuan Li, Lidong Bing:
Is GPT-4 a Good Data Analyst? CoRR abs/2305.15038 (2023) - [i3]Hailin Chen, Fangkai Jiao, Xingxuan Li, Chengwei Qin, Mathieu Ravaut, Ruochen Zhao, Caiming Xiong, Shafiq Joty:
ChatGPT's One-year Anniversary: Are Open-Source Large Language Models Catching up? CoRR abs/2311.16989 (2023) - 2022
- [i2]Linlin Liu, Xingxuan Li, Megh Thakkar, Xin Li, Lidong Bing, Shafiq R. Joty, Luo Si:
Towards Robust Low-Resource Fine-Tuning with Multi-View Compressed Representations. CoRR abs/2211.08794 (2022) - [i1]Xingxuan Li, Yutong Li, Linlin Liu, Lidong Bing, Shafiq R. Joty:
Is GPT-3 a Psychopath? Evaluating Large Language Models from a Psychological Perspective. CoRR abs/2212.10529 (2022)
2010 – 2019
- 2018
- [c1]Jie Yang, Yue Zhang, Linwei Li, Xingxuan Li:
YEDDA: A Lightweight Collaborative Text Span Annotation Tool. ACL (4) 2018: 31-36
Coauthor Index
aka: Shafiq Joty
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last updated on 2026-04-23 23:00 CEST by the dblp team
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