Publications

*Equal contribution

My current research focus is in machine learning, and more specifically, language models. Previously, I worked in management information systems, with a focus on causal inference for online experimentation.

Machine Learning

Improving large language models with concept-aware fine-tuning

Michael K. Chen, Xikun Zhang, Jiaxing Huang, Dacheng Tao

Preprint · Under Review

Paper · Github

JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models

Michael K. Chen, Xikun Zhang, Dacheng Tao

Preprint · Under Review

Paper · Github · Blog Post

A Comparative Study of Neurosymbolic AI Approaches to Interpretable Logical Reasoning

Michael K. Chen

19th Conference on Neurosymbolic Learning and Reasoning (NeSy 2025)

Paper

MMReason: An Open-Ended Multi-Modal Multi-Step Reasoning Benchmark for MLLMs Toward AGI

Huanjin Yao, Jiaxing Huang, Yawen Qiu, Michael K. Chen...(7 others)..Dacheng Tao

International Conference on Computer Vision (ICCV 2025)

Paper · Github

Information Systems

A Field Study on the Impact of the Counter Ad-Blocking Wall Strategy on User Engagement

Michael K. Chen, Shuai Zhao, Christian Borcea, Yi Chen

Decision Support Systems (In Press)

Blog Post

Personalized Dynamic Counter Ad-Blocking Using Deep Learning

Shuai Zhao, Michael K. Chen, Christian Borcea, Yi Chen

IEEE Transactions on Knowledge and Data Engineering

Paper · Github

Works In Progress

MedReason-Dx: Benchmarking Step-by-Step Reasoning of Language Models in Medical Diagnosis

MedReason-Dx Team

Preprint

Website · Github