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. I also collaborate with research scientists, Dr. Ding Liang and Dr. Longyue Wang, from whom I got a lot of valuable advice and support.
We are hiring student assistants. Self-motivated students with experience in LLM and LVLM are welcome. I am always open to collaborations!
I have broad interests in natural language processing (NLP), particularly in crossmodal learning and natural language generation.
Mitigating Biases in Chinese Toxic Language via Sentiment Polarity Consistent Rewrites: Benchmark and Evaluation
Xintong Wang, Yixiao Liu, Jingheng Pan, and Chris Biemann. 2024
CogSteer: Cognition-Inspired Selective Layer Intervention for Efficient Semantic Steering in Large Language Models
Xintong Wang, Jingheng Pan, Longqin Jiang, Liang Ding, Xingshan Li, and Chris Biemann. 2024
Multilingual and Explainable Text Detoxification with Parallel Corpora
Daryna Dementieva, Nikolay Babakov, Amit Ronen, Abinew Ali Ayele, Naquee Rizwan, Florian Schneider, Xintong Wang, Seid Muhie Yimam, Daniil Alekhseevich Moskovskiy, Elisei Stakovskii, Eran Kaufman, Ashraf Elnagar, Animesh Mukherjee and Alexander Panchenko.
Proceedings of the 31st International Conference on Computational Linguistics (COLING 2025) (CORE Rank A) (Oral).
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]
Invited Talks
Academic Services
🐈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.