Runxuan Liu

According to our database, Runxuan Liu authored at least 9 papers between 2025 and 2026.

Collaborative distances:

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

2026

Perception Without Engagement: Dissecting the Causal Discovery Deficit in LMMs.

Jiafeng Liang, Zhihao Zhu, Zihan Zhang, Baoqi Ren, Shixin Jiang, Runxuan Liu, Tao Ren, Ming Liu, See-Kiong Ng, Bing Qin

CoRR, May, 2026

Schema-Aware Planning and Hybrid Knowledge Toolset for Reliable Knowledge Graph Triple Verification.

Xinyan Ma, Xianhao Ou, Weihao Zhang, Shixin Jiang, Runxuan Liu, Dandan Tu, Lei Chen, Ming Liu, Bing Qin

CoRR, April, 2026

The Evolution of Tool Use in LLM Agents: From Single-Tool Call to Multi-Tool Orchestration.

Haoyuan Xu, Chang Li, Xinyan Ma, Xianhao Ou, Zihan Zhang, Tao He, Xiangyu Liu, Zixiang Wang, Jiafeng Liang, Zheng Chu, Runxuan Liu, Rongchuan Mu, Dandan Tu, Ming Liu, Bing Qin

CoRR, March, 2026

Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models.

Runxuan Liu, Xianhao Ou, Xinyan Ma, Jiyuan Wang, Jiafeng Liang, Jiaqi Li, Tao He, Zheng Chu, Rongchuan Mu, Zekun Wang, Baoxin Wang, Dayong Wu, Ming Liu, Shijin Wang, Guoping Hu, Bing Qin

CoRR, January, 2026

Graph Reasoning Paradigm: Structured and Symbolic Reasoning with Topology-Aware Reinforcement Learning for Large Language Models.

Runxuan Liu, Xianhao Ou, Xinyan Ma, Jiyuan Wang, Jiafeng Liang, Jiaqi Li, Tao He, Zheng Chu, Rongchuan Mu, Zekun Wang, Baoxin Wang, Dayong Wu, Ming Liu, Shijin Wang, Guoping Hu, Bing Qin

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

AI Meets Brain: Memory Systems from Cognitive Neuroscience to Autonomous Agents.

Jiafeng Liang, Hao Li, Chang Li, Jiaqi Zhou, Shixin Jiang, Zekun Wang, Changkai Ji, Zhihao Zhu, Runxuan Liu, Tao Ren, Jinlan Fu, See-Kiong Ng, Xia Liang, Ming Liu, Bing Qin

CoRR, December, 2025

Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering.

Runxuan Liu, Bei Luo, Jiaqi Li, Baoxin Wang, Ming Liu, Dayong Wu, Shijin Wang, Bing Qin

CoRR, February, 2025

Ontology-Guided Reverse Thinking Makes Large Language Models Stronger on Knowledge Graph Question Answering.

Runxuan Liu, Luobei Luobei, Jiaqi Li, Baoxin Wang, Ming Liu, Dayong Wu, Shijin Wang, Bing Qin

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

Breaking the Reasoning Barrier A Survey on LLM Complex Reasoning through the Lens of Self-Evolution.

Tao He, Hao Li, Jingchang Chen, Runxuan Liu, Yixin Cao, Lizi Liao, Zihao Zheng, Zheng Chu, Jiafeng Liang, Ming Liu, Bing Qin

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