Scholar
Yue Zhang
Google Scholar ID: VZB0KvYAAAAJ
PhD candidate, the University of Texas at Dallas
Citations & Impact
Citations
30
H-index
3
i10-index
1
Publications
8
Co-authors
3
list available
Resume (English only)
Academic Achievements
- - Publications:
- - LMR-BENCH: Evaluating LLM Agent's Ability on Reproducing Language Modeling Research (EMNLP 2025)
- - Can Large Vision Language Models Understand Sarcasm? (CIKM 2025, Best Paper Candidate)
- - Defeasible Visual Entailment: Benchmark, Evaluator, and Reward-Driven Optimization (AAAI 2025)
- - Fine-grained and Explanable Factuality Evaluation for Multimodal Summarization (DOCUI @ AAAI 2025)
- - 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
Research Experience
- - Research Scientist Intern, Megagon Labs, Jun. 2025 -- Aug. 2025, Advisor: Seiji Maekawa, Nikita Bhutani
- - Research Assistant, Hongkong University of Science and Technology, Apr. 2022 -- Mar. 2023, Advisor: Sung Hun Kim, Lucy Park
Education
- - The University of Texas at Dallas, Ph.D. in Computer Science, Aug. 2023 - present, Advisor: Vibhav Gogate
- - University of Manchester, Master in Advanced Computer Science, Sep. 2020 - Dec. 2021, Msc Project Advisor: David Wong
- - Zhejiang Normal University, Bachelor in Computer Science and Technology, Sep. 2016 - Jul. 2020
Background
- Research Interests: Multimodal Large Models (MLMs), Multimodal Reasoning, Video Large Multimodal Models (VLMMs), and Reinforcement Learning. Bio: Yue Zhang is a Ph.D. candidate at the University of Texas at Dallas, supervised by Prof. Vibhav Gogate.
Miscellany
- Invited Editorial Board member for International Journal of Artificial Intelligence for Science (IJAI4S); Invited Reviewer for Conferences: 2025: ACL, NAACL, ICME.
