Jiafeng Liang

According to our database, Jiafeng Liang authored at least 21 papers between 2023 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

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

APSam: An Aggregating-Then-Pruning Sampler for Question-Conditional Denoising.

Jiafeng Liang, Shixin Jiang, Wei Tang, Ning Wang, Zekun Wang, Xun Mao, Kai Lv, Ming Liu, Bing Qin

IEEE Trans. Circuits Syst. Video Technol., February, 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

Analyzing Reasoning Consistency in Large Multimodal Models under Cross-Modal Conflicts.

Zhihao Zhu, Jiafeng Liang, Shixin Jiang, Jinlan Fu, Ming Liu, Guanglu Sun, See-Kiong Ng, Bing Qin

CoRR, January, 2026

From Sampling to Cognition: Modeling Internal Cognitive Confidence in Language Models for Robust Uncertainty Calibration.

Hao Li, Tao He, Jiafeng Liang, Zheng Chu, Ming Liu

Proceedings of the Fortieth AAAI Conference on Artificial Intelligence, 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

Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering.

Zheng Chu, Huiming Fan, Jingchang Chen, Qianyu Wang, Ming-Hsuan Yang, Jiafeng Liang, Zhongjie Wang, Hao Li, Guo Tang, Ming Liu, Bing Qin

CoRR, May, 2025

Investigating and Enhancing the Robustness of Large Multimodal Models Against Temporal Inconsistency.

Jiafeng Liang, Shixin Jiang, Xuan Dong, Ning Wang, Zheng Chu, Hui Su, Jinlan Fu, Ming Liu, See-Kiong Ng, Bing Qin

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

From Specific-MLLMs to Omni-MLLMs: A Survey on MLLMs Aligned with Multi-modalities.

Shixin Jiang, Jiafeng Liang, Jiyuan Wang, Xuan Dong, Heng Chang, Weijiang Yu, Jinhua Du, Ming Liu, Bing Qin

Proceedings of the Findings of the Association for Computational Linguistics, 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

Self-Critique Guided Iterative Reasoning for Multi-hop Question Answering.

Zheng Chu, Huiming Fan, Jingchang Chen, Qianyu Wang, Mingda Yang, Jiafeng Liang, Zhongjie Wang, Hao Li, Guo Tang, Ming Liu, Bing Qin

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

2024

Comparison with others influences encoding and recognition of their faces: Behavioural and ERP evidence.

Huiyan Lin, Jiafeng Liang

NeuroImage, 2024

From Specific-MLLM to Omni-MLLM: A Survey about the MLLMs alligned with Multi-Modality.

Shixin Jiang, Jiafeng Liang, Ming Liu, Bing Qin

CoRR, 2024

GUIDE: A Guideline-Guided Dataset for Instructional Video Comprehension.

Jiafeng Liang, Shixin Jiang, Zekun Wang, Haojie Pan, Zerui Chen, Zheng Chu, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

RiskMiner: Discovering Formulaic Alphas via Risk Seeking Monte Carlo Tree Search.

Tao Ren, Ruihan Zhou, Jinyang Jiang, Jiafeng Liang, Qinghao Wang, Yijie Peng

Proceedings of the 5th ACM International Conference on AI in Finance, 2024

CogGPT: Unleashing the Power of Cognitive Dynamics on Large Language Models.

Yaojia Lv, Haojie Pan, Zekun Wang, Jiafeng Liang, Yuanxing Liu, Ruiji Fu, Ming Liu, Zhongyuan Wang, Bing Qin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Infrared-LLaVA: Enhancing Understanding of Infrared Images in Multi-Modal Large Language Models.

Shixin Jiang, Zerui Chen, Jiafeng Liang, Yanyan Zhao, Ming Liu, Bing Qin

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

SmartTrim: Adaptive Tokens and Attention Pruning for Efficient Vision-Language Models.

Zekun Wang, Jingchang Chen, Wangchunshu Zhou, Haichao Zhu, Jiafeng Liang, Liping Shan, Ming Liu, Dongliang Xu, Qing Yang, Bing Qin

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

GTR: A Grafting-Then-Reassembling Framework for Dynamic Scene Graph Generation.

Jiafeng Liang, Yuxin Wang, Zekun Wang, Ming Liu, Ruiji Fu, Zhongyuan Wang, Bing Qin

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

MTGER: Multi-view Temporal Graph Enhanced Temporal Reasoning over Time-Involved Document.

Zheng Chu, Zekun Wang, Jiafeng Liang, Ming Liu, Bing Qin

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