News


Fengxiang Cheng 

Ph.D. Candidate at University of Amsterdam
Visiting Ph.D. Student at MBZUAI

Institute for Logic, Language and Computation (ILLC) at UvA
Machine Learning (ML) Department at MBZUAI

Room F2.08, Building F, Science Park 107, 1098 XG Amsterdam, Netherlands

f.cheng AT uva.nl
Google Scholar

I pursue my PhD majoring in Logic and AI at University of Amsterdam, where I am fortunate to be supervised by Prof. Robert van Rooij. Before that, I obtained my Master’s degree from Tsinghua University. I was also a visiting Ph.D. Student of Machine Learning Department at MBZUAI supervised by Prof. Kun Zhang and Prof. Mingming Gong, and a Research Intern at Meituan. My research interests include Neuro-Symbolic AI, LLM Logical reasoning, and causal inference. I have several first-author publications appeared in top-tier conferences including IJCAI, AAAI, ACL and EMNLP, some of which have been reported by MIT Technology Review, Chinese Association for Artificial Intelligence (CAAI), and front-page coverage by Synced (机器之心). For LLM neuro-symbolic and logical reasoning, I organized AAAI 26 Bridge Program and co-organized ICLR 26 Workshop, also co-hosted IJCAI 25 and AAAI 26 tutorials. In addition, I was selected as a member of IJCAI 25 Doctoral Consortium (only 15 Ph.D. students) and AAAI 26 Doctoral Consortium. Moreover, I participated as principle participant in projects funded by the Beijing Natural Science Foundation (¥3,000,000, No. L257007) and Beijing Municipal Science & Technology Commission (¥5,000,000, Z251100008425006).

Selected Publications


In the Year of 2026:


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Text Embedding as Treatment: A Meta Causal Approach for Robust Sentiment Classification
Fengxiang Cheng, Chuan Zhou, Xiang Li, Wenli Wang, Jinkun Chen, Haoxuan Li, Mingming Gong, Kun Zhang
ACL 2026 (Findings, Accepted Rate: 18%)

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Task-Matched Logic Solvers for LLMs: Toward Explainable AI
Fengxiang Cheng, Wei Wang
TOPOI: An International Review of Philosophy (AHCI, JCR Q1, Scopus, 中科院1区Top期刊)

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MAD-Logic: Multi-Agent Debate Enhances Symbolic Translation and Reasoning
Haocheng Yang, Fengxiang Cheng, Tianjun Yao, Mengyue Yang, Jiajun Chai, Xiaohan Wang, Guojun Yin, Wei Lin, Soummya Kar, Fenrong Liu, Haoxuan Li and Yisen Wang
ICLR 2026 (Full, Accepted Rate: 28%)

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LogiConBench: Benchmarking Logical Consistencies of LLMs
Zheng Chen, Chuan Zhou, Fengxiang Cheng, Yip Tin Po, Fenrong Liu, Yisen Wang, Jiajun Chai, Xiaohan Wang, Guojun Yin, Wei Lin, Bo Li, Haoxuan Li and Zhouchen Lin
ICLR 2026 (Full, Accepted Rate: 28%)

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Empowering LLMs with Symbolic Representation and Reasoning
Fengxiang Cheng
AAAI 2026 (Doctoral Consortuim)

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Fine-Tuning Sample Order Matters in Propositional Logical Question-Answering
Fengxiang Cheng, Chuan Zhou, Fenrong Liu and Robert Van Rooij
AAAI 2026 (Student Abstract)

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Adaptive Selection of Symbolic Languages for Improving LLM Logical Reasoning
Xiangyu Wang, Haocheng Yang, Fengxiang Cheng* and Fenrong Liu*
AAAI 2026 Workshop on Post-AI Formal Methods    (Oral)    *Corresponding Author

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Enhancing LLMs in Legal Judgment Prediction via Neuro-Symbolic Reasoning
Zhaozuo Liu, Zhengnan Li, Fengxiang Cheng* and Fenrong Liu*
AAAI 2026 Workshop on Language Models for Underserved Communities    * Corresponding Author

In the Year of 2025:


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Empowering LLMs with Logical Reasoning: A Comprehensive Survey
Fengxiang Cheng, Haoxuan Li, Fenrong Liu, Robert van Rooij, Kun Zhang and Zhouchen Lin
IJCAI 2025 (Survey Track, Accepted Rate: 19.6%)    (Oral)

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Mitigating Spurious Correlations via Counterfactual Contrastive Learning
Fengxiang Cheng, Chuan Zhou, Xiang Li, Alina Leidinger, Haoxuan Li, Mingming Gong, Fenrong Liu and Robert Van Rooij
EMNLP 2025 (Findings, Accepted Rate: 39.51%)

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Enhancing the Logical Reasoning Abilities of Large Language Models
Fengxiang Cheng
IJCAI 2025 (Doctoral Consortuim)

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Revealing the Limitations of Exploiting Causal Effects to Resolve Linguistic Spurious Correlations
Fengxiang Cheng, Haoxuan Li, Alina Leidinger and Robert van Rooij
AAAI 2025 Workshop on Artificial Intelligence with Causal Techniques

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Efficient First-Order Logic-Based Method for Enhancing Logical Reasoning Capabilities of LLMs
Wanzhen Fu, Haocheng Yang, Fengxiang Cheng* and Fenrong Liu
NeurIPS 2025 Workshop on Foundations of Reasoning in Language Models    * Corresponding Author

Books and Chapters


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Artificial Intelligence Logic (《人工智能逻辑》), edited by Fenrong Liu. Tsinghua University Press, 2025.
Author of the Chapter: "Chapter 14: Large Language Models and Logical Reasoning".
Strategic Emerging Fields "14th Five-Year Plan" Higher Education Textbook Series(战略性新兴领域‘十四五’高等教育系列教材)  

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Nous: Studies in Greco-Roman Philosophy (Series 6) (《努斯:希腊罗马哲学研究(第6辑)》), edited by Zhonghe Liang. Shanghai People's Publishing House, 2023.
Translator of the Chapter: "Plotinus on Logos" (L. Gerson).

Tutorials

AAAI 2026 Tutorial on Large Language Models meet Logical Reasoning
Fenrong Liu, Haoxuan Li, Fengxiang Cheng, Chuan Zhou, Mingming Gong and Zhouchen Lin
AAAI 2026    Website   
IJCAI 2025 Tutorial on Empowering LLMs with Logical Reasoning: Challenges, Solutions, and Opportunities
Haoxuan Li, Fengxiang Cheng, Fenrong Liu, Robert van Rooij, Kun Zhang and Zhouchen Lin
IJCAI 2025    Website   

Workshops

ICLR 2026 Workshop on Logical Reasoning of Large Language Models
Organizers: Chuan Zhou, Fengxiang Cheng, Ye Mo, Hao Wang, Licheng Pan, Haocheng Yang and Chunyuan Zheng
ICLR 2026    Website   
AAAI 2026 Bridge Program on Logical and Symbolic Reasoning in Language Models
Organizers: Fengxiang Cheng, Chuan Zhou, Xiang Li, Hao Wang, Yifei Yang, Yifei Yang, Zheng Chen and Haocheng Yang
AAAI 2026    Website   

Patents


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一种增强大语言模型逻辑推理能力的方法和系统
Fenrong Liu, Fengxiang Cheng, Chuan Zhou and Haoxuan Li
Patent Number: ZL 2025 1 1277453.3   

Academic Service

Session Chair: IJCAI 2025
Program Commitee: ICML 2026, ACL 2026