Xintong Wang (王鑫同)Ph.D. Candidate
Language Technology Group |
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I am a fourth-year Ph.D. candidate at University of Hamburg (Universität Hamburg/Exzellenzuniversitäten), advised by Prof. Chris Biemann. Previously, I was a visiting student at SIAT, Chinese Academy of Sciences in 2018, advised by Prof. Min Yang. Then, I was a research assistant at PolyU, The Hong Kong Polytechnic University from 2018 to 2019, advised by Prof. Maggie Wenjie Li. I received my M.Eng. degree and B.Eng. degree from the School of Computer Science and Engineering, South China University of Technology (Double First-Class Universities and Disciplines) in 2019 and 2016, respectively.
📣 Opening: We are hiring student assistants at the University of Hamburg and full-time positions & interns at Alibaba. Self-motivated students with experience in LLMs, LVLMs, and Agents are welcome to reach out. Please feel free to drop me an email. I’m always open to collaborations.
My research focuses on large language models and agentic systems, with an emphasis on training and alignment, evaluation and interpretability, and multilingual and multimodal learning for real-world applications.
Chinese Toxic Language Mitigation via Sentiment Polarity Consistent
Rewritess
Xintong Wang, Yixiao Liu, Jingheng Pan, Liang Ding, Longyue Wang, and Chris Biemann. 2025
The 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025). (CORE Rank A* Top 15%)
CogSteer: Cognition-Inspired Selective Layer Intervention for Efficiently Steering Large Language Models
Xintong Wang, Jingheng Pan, Liang Ding, Longqin Jiang, Longyue Wang, Xingshan Li, and Chris Biemann.
Findings of the Association for Computational Linguistics (ACL 2025). (CORE Rank A*)
Mitigating Hallucinations in Large Vision-Language Models with Instruction Contrastive Decoding
Xintong Wang, Jingheng Pan, Liang Ding, and Chris Biemann.
Findings of the Association for Computational Linguistics (ACL 2024). (CORE Rank A*)
Probing Large Language Models from A Human Behavioral Perspective
Xintong Wang, Xiaoyu Li, Xingshan Li, and Chris Biemann.
Proceedings of Bridging Neurons and Symbols for Natural Language Processing and Knowledge Graphs Reasoning (Neusymbridge) at the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024).
Using Self-Supervised Dual Constraint Contrastive Learning for Cross-modal Retrieval
Xintong Wang, Xiaoyu Li, Liang Ding, Sanyuan Zhao, and Chris Biemann.
European Conference on Artificial Intelligence 2023 (ECAI 2023). (CORE Rank A 24%)
MOTIF: Contextualized Images for Complex Words to Improve Human Reading
Xintong Wang*, Florian Schneider*, Özge Alaçam, Prateek Chaudhury, and Chris Biemann.
Language Resources and Evaluation Conference 2022 (LREC 2022). (CORE Rank B) [Dataset]
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🐈I have a cat called Minus. His name is a German word (subtraction/minus), with my direct hope that he can live in an easy mode.