Yue Zhang is a Ph.D. student at the University of Texas at Dallas supervised by Prof. Vibhav Gogate. She received her Master’s degree in Advanced Computer Science from the University of Manchester in 2021 and her Bachelor’s degree in Computer Science and Technology from Zhejiang Normal University in 2020. Her research focuses on Multimodal Large Models (MLMs), Multimodal Reasoning, and related fields. She is particularly interested in Video Large Multimodal Models (VLMMs) and Reinforcement Learning.

Papers

In the Year of 2025:

pdf	Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization. Yue Zhang, Liqiang Jing & Vibhav Gogate AAAI 2025   • Codes&Data
pdf	Fine-grained and Explanable Factuality Evaluation for Multimodal Summarization. Yue Zhang, Jingxuan Zuo & Liqiang Jing AAAI 2025   • Codes&Data

In the Year of 2024:

pdf	A Unified Hallucination Mitigation Framework for Large Vision-Language Models. Liqiang Jing, Yue Chang, Xiaopeng Zhang & Yue Zhang TMLR   • Codes&Data

Teaching Assistant

Spring 2025, CS 4375 Introduction to Machine Learning, the University of Texas at Dallas Spring & Fall 2024, CS 4337 Programming Language, the University of Texas at Dallas Fall 2023, CS 4337 Programming Language, CS 4375 Introduction to Machine Learning, the University of Texas at Dallas

Professional Services

Invited Reviewer for Conferences:     2025: ACL, NAACL, ICME.

Honors

President’s Special Award, Zhejiang Normal University, 2020 Government Scholarship Awarded by the Education Department of Zhejiang Province, 2018 First Class Scholarship, Zhejiang Normal University, 2017, 2018, 2019