Yuchen Ma

According to our database, Yuchen Ma authored at least 13 papers between 2023 and 2026.

Collaborative distances:

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

2026

Causal methods for LLM development and evaluation.

Dennis Frauen, Marie Brockschmidt, Konstantin Hess, Haorui Ma, Yuchen Ma, Abdurahman Maarouf, Maresa Schröder, Jonas Schweisthal, Yuxin Wang, Athiya Deviyani, Sonali Parbhoo, Rahul G. Krishnan, Stefan Feuerriegel

CoRR, May, 2026

AgentTrap: Measuring Runtime Trust Failures in Third-Party Agent Skills.

Haomin Zhuang, Hanwen Xing, Yujun Zhou, Yuchen Ma, Yue Huang, Yili Shen, Yufei Han, Xiangliang Zhang

CoRR, May, 2026

SkillGen: Verified Inference-Time Agent Skill Synthesis.

Yuchen Ma, Yue Huang, Han Bao, Haomin Zhuang, Swadheen Shukla, Michel Galley, Xiangliang Zhang, Stefan Feuerriegel

CoRR, May, 2026

NARRA-Gym for Evaluating Interactive Narrative Agents.

Yue Huang, Yuchen Ma, Jiayi Ye, Wenjie Wang, Zipeng Ling, Xingjian Hu, Yuexing Hao, Zichen Chen, Zhangchen Xu, Yunhong He, Zhengqing Yuan, Yujun Zhou, Kehan Guo, Chaoran Chen, Toby Jia-Jun Li, Stefan Feuerriegel, Xiangliang Zhang

CoRR, May, 2026

Emergent Social Intelligence Risks in Generative Multi-Agent Systems.

Yue Huang, Yu Jiang, Wenjie Wang, Haomin Zhuang, Xiaonan Luo, Yuchen Ma, Zhangchen Xu, Zichen Chen, Nuno Moniz, Zinan Lin, Pin-Yu Chen, Nitesh V. Chawla, Nouha Dziri, Huan Sun, Xiangliang Zhang

CoRR, March, 2026

ProbeLLM: Automating Principled Diagnosis of LLM Failures.

Yue Huang, Zhengzhe Jiang, Yuchen Ma, Yu Jiang, Xiangqi Wang, Yujun Zhou, Yuexing Hao, Kehan Guo, Pin-Yu Chen, Stefan Feuerriegel, Xiangliang Zhang

CoRR, February, 2026

Synthetic Interaction Data for Scalable Personalization in Large Language Models.

Yuchen Ma, Yue Huang, Wenjie Wang, Xiaonan Luo, Xiangliang Zhang, Stefan Feuerriegel

CoRR, February, 2026

Targeted Synthetic Control Method.

Yuxin Wang, Dennis Frauen, Emil Javurek, Konstantin Hess, Yuchen Ma, Stefan Feuerriegel

CoRR, February, 2026

2025

LLM-Driven Treatment Effect Estimation Under Inference Time Text Confounding.

Yuchen Ma, Dennis Frauen, Jonas Schweisthal, Stefan Feuerriegel

CoRR, July, 2025

Foundation Models for Causal Inference via Prior-Data Fitted Networks.

Yuchen Ma, Dennis Frauen, Emil Javurek, Stefan Feuerriegel

CoRR, June, 2025

A Diffusion-Based Method for Learning the Multi-Outcome Distribution of Medical Treatments.

Yuchen Ma, Jonas Schweisthal, Hengrui Zhang, Stefan Feuerriegel

Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining, V.2, 2025

2024

DiffPO: A causal diffusion model for learning distributions of potential outcomes.

Yuchen Ma, Valentyn Melnychuk, Jonas Schweisthal, Stefan Feuerriegel

Proceedings of the Advances in Neural Information Processing Systems 37: Annual Conference on Neural Information Processing Systems 2024, 2024

2023

Counterfactual Fairness for Predictions using Generative Adversarial Networks.

Yuchen Ma, Dennis Frauen, Valentyn Melnychuk, Stefan Feuerriegel

CoRR, 2023