Iโm Kai Xiong, a Ph.D. student in Research Center for Social Computing and Interactive Robotics (SCIR), at Harbin Institute of Technology (HIT, China). I am co-advised by Prof. Ting Liu and Prof. Xiao Ding. My research interests lie in event reasoning, eventic graph, and large language models.
๐ Publications
2026
- Yufei Zhang*, Kai Xiong*, Yuxiong Yan, Bibo Cai, Xiao Ding, Bing Qin, Ting Liu. Debate-aware Learning Makes LLMs Genuine Debaters. EMNLP 2026
- Jianbai Zhao, Bibo Cai, Xiao Ding, Xinran Dai, Yu Bao, Bo Xin, Kai Xiong, Bing Qin, Ting Liu. IALR: Instance-Adaptive Legal Rubric Supervision for Legal Judgment Prediction. Findings of EMNLP 2026
- Zhuoka Feng, Kang Chen, Sihan Zhao, Kai Xiong, Yaoning Wang, Minshen Yu, Junjie Nian, Changyi Xiao, Yixin Cao, Yugang Jiang. ARM: Role-Conditioned Neuron Transplantation for Training-Free Generalist LLM Agent Merging. EMNLP 2026
- Kai Xiong, Xiao Ding, Li Du, Jiahao Ying, Ting Liu, Bing Qin, Yixin Cao. Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning. ICLR 2026
- Yang Zhao, Yangou Ouyang, Xiao Ding, Hepeng Wang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu. Consolidation or Adaptation? PRISM: Disentangling SFT and RL Data via Gradient Concentration. ACL 2026
- Yang Zhao, Hepeng Wang, Xiao Ding, Yangou Ouyang, Bibo Cai, Kai Xiong, Jinglong Gao, Zhouhao Sun, Li Du, Bing Qin, Ting Liu. Maestro: Meta-learning adaptive estimation of scalarization trade-offs for reward optimization. ACL 2026
- Zihan Zhang, Yu Bao, Xiao Ding, Tianyi Jiang, Kai Xiong. Is EEG-to-Text Feasible in Real-World Scenarios? An In-Depth Analysis Using a Neuropsychology-Inspired Benchmark. ACL 2026
- Peng Wang, Yuxiong Yan, Xiao Ding, Kai Xiong, Bibo Cai, Chao Peng, Yutai Hou, Dandan Tu, Bing Qin, Ting Liu. MDC-Bench: A Multidisciplinary Causal Benchmark Based on Causal Structures for Evaluating Large Language Models. Findings of ACL 2026
- Yuxin Zhou, Xiao Ding, Yijia Meng, Tianle Chang, Jinglong Gao, Zihan Zhang, Kai Xiong, Qi Shi. Optimizing Automated Jailbreak Attacks on Large Language Models via Experience Accumulation. ICASSP 2026
- Yuxin Zhou, Xiao Ding, Qi Shi, Ye He, Kai Xiong, Yijia Meng, Tianle Chang, Jinglong Gao. Proactive Safety Deliberation: Guiding Large Reasoning Models with Distilled Principles. ICASSP 2026
- Kang Chen, Yaoning Wang, Kai Xiong, Zhuoka Feng, Yu Minshen, Wenhe Sun, Haotian Chen, Yixin Cao. Do LLMs Signal When Theyโre Right? Evidence from Neuron Agreement. ICML 2026 (Spotlight)
2025
- Kai Xiong, Xiao Ding, Yixin Cao, Yang Zhao, Bing Qin, Ting Liu. Think Straight or Think Again? Continual Joint Learning of Deduction, Abduction, and Induction. Neural Networks (IF=6.3)
- Kai Xiong, Xiao Ding, Yixin Cao, Yuxiong Yan, Li Du, Yufei Zhang, Jinglong Gao, Jiaqian Liu, Bing Qin, Ting Liu. Com$^2$: A Causal-Guided Benchmark for Exploring Complex Commonsense Reasoning in Large Language Models. ACL 2025
- Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin. Supervised Fine-Tuning Achieve Rapid Task Adaption Via Alternating Attention Head Activation Patterns. ACL 2025
- Yang Zhao, Li Du, Xiao Ding, YangouOuyang, Hepeng Wang, Kai Xiong, Jinglong Gao, Zhouhao Sun, Dongliang Xu, Qing Yang, Dongchen Li, Bing Qin, Ting Liu. Beyond Similarity: A Gradient-based Graph Method for Instruction Tuning Data Selection. ACL 2025
- Jihao Shi, Xiao Ding, Kai Xiong, Hengwei Zhao, Bing Qin, Ting Liu. Natural Logic at the Core: Dynamic Rewards for Entailment Tree Generation. Findings of ACL 2025
- Yang Zhao, Kai Xiong, Xiao Ding, Li Du, Yangou Ouyang, Zhouhao Sun, Jiannan Guan, Wenbin Zhang, Bin Liu, Dong Hu, Bing Qin, Ting Liu. UFO-RL: Uncertainty-Focused Optimization for Efficient Reinforcement Learning Data Selection. NeurIPS 2025
- Peng Wang, Xiao Ding, Kai Xiong, Bing Qin, Ting Liu. Necessary and sufficient knowledge enhanced collaborative logical reasoning in LLMs. Neural Networks (IF=6.3)
2024
- Kai Xiong, Xiao Ding, Ting Liu, Bing Qin, Dongliang Xu, Qing Yang, Hongtao Liu, Yixin Cao. Meaningful Learning: Enhancing Abstract Reasoning in Large Language Models via Generic Fact Guidance. NeurIPS 2024
- Jiahao Ying, Yixin Cao, Kai Xiong, Yidong He, Long Cui, Yongbin Liu. Intuitive or Dependent? Investigating LLMsโ Behavior Style to Conflicting Prompts. ACL 2024
- Yang Zhao, Li Du, Xiao Ding, Kai Xiong, Zhouhao Sun, Jun Shi, Ting Liu, Bing Qin. Deciphering the lmpact of Pretraining Data on Large Language Models through Machine Unlearning. Findings of ACL 2024
2023
- Kai Xiong, Xiao Ding, Yixin Cao, Ting Liu, Bing Qin. Examining Inter-consistency of Large Language Models Collaboration: An in-depth Analysis via Debate. Findings of EMNLP 2023
- Yang Wu, Yanyan Zhao, Zhongyang Li, Bing Qin, Kai Xiong. Improving Cross-task Generalization with Step-by-step Instructions. Science China-Information Sciences (IF=7.6)
2022
- Kai Xiong, Xiao Ding, Zhongyang Li, Li Du, Ting Liu, Bing Qin, Yi Zheng, Baoxing Huai. ReCo: Reliable Causal Chain Reasoning via Structural Causal Recurrent Neural Networks. EMNLP 2022
- Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin. e-CARE: A New Dataset for Exploring Explainable Causal Reasoning. ACL 2022
- Li Du, Xiao Ding, Yue Zhang, Kai Xiong, Ting Liu, Bing Qin. A Graph Enhanced Bert Model for Event Prediction. Findings of ACL 2022
- Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin. Enhancing Pretrained Language Models with Structured Commonsense Knowledge for Textual Inference. Knowledge-Based Systems (IF=7.6)
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2021
- Li Du, Xiao Ding, Kai Xiong, Ting Liu, Bing Qin. ExCAR: Event Graph Knowledge Enhanced Explainable Causal Reasoning. ACL 2021
- Kai Xiong, Xiao Ding, Li Du, Ting Liu, Bing Qin. Heterogeneous Graph Knowledge Enhanced Stock Market Prediction. AI Open (IF=14.8)
๐ Honors and Awards
- 2025 Outstanding Student Award of Harbin Institute of Technology
- 2024 National Scholarship for Doctoral Students
- 2024 Outstanding Student Award of Harbin Institute of Technology
- 2024 Top Reviewer of NeurIPS 2024 (8.6%, 1,304 of 15,160 reviewers)
- 2021 CCKS 2021 Best Chinese Paper Runner-up Award
- 2021 First Prize in the Future Cup AI Academic Contest
๐ Educations
- 2015.09 - 2019.06, Wuhan University, China. Bachelor of Science, Geographic Information Science.
- 2019.09 - 2021.06, Harbin Institute of Technology, China. Master of Engineering, Computer Science.
- Research Center for Social Computing and Information Retrieval (SCIR)
- Advisor: Prof. Ting Liu
- 2022.07 - 2023.08, Singapore Management University, Singapore. Research Assistant, School of Computing and Information Science.
- Advisor: Prof. Yixin Cao
- 2021.09 - Now, Harbin Institute of Technology, China. Ph.D. Candidate
- Research Center for Social Computing and Information Retrieval (SCIR)
- Advisors: Prof. Ting Liu and Xiao Ding
๐ผ Internships
- 2021.10 - 2022.07, Huawei Cloud, China. AI Algorithm Engineer.
- 2023.12 - 2024.10, Duxiaoman Financial Technology, China. LLMs Algorithm Engineer.
๐ Academic Services
- Reviewers of Top AI Conferences
- ACL/ARR: 2021, 2022, 2023, 2024, 2025
- NeurIPS: 2024, 2025
- EMNLP/ARR: 2022, 2023
- KDD: 2024
- WWW: 2025
- ICML: 2025
- Reviewers of Other Conferences
- CCKS
- NLPCC
- CCL