Publications

My research spans multimodal and multilingual learning, vision-language models, and reliable and efficient large language models.

2026

VIDA: A Dataset for Visually Dependent Ambiguity in Multimodal Machine Translation

Jingheng Pan, Xintong Wang, Longyue Wang, Liang Ding, Weihua Luo, and Chris Biemann.

Under review at AACL 2026.

2025

Chinese Toxic Language Mitigation via Sentiment Polarity Consistent Rewrites

Xintong Wang, Yixiao Liu, Jingheng Pan, Liang Ding, Longyue Wang, and Chris Biemann.

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP 2025).

Rethinking Multilingual Vision-Language Translation: Dataset, Evaluation, and Adaptation

Xintong Wang, Jingheng Pan, Yixiao Liu, Xiaohu Zhao, Chenyang Lyu, Minghao Wu, Chris Biemann, Longyue Wang, Linlong Xu, Weihua Luo, and Kaifu Zhang.

arXiv preprint, 2025.

CogSteer: Cognition-Inspired Selective Layer Intervention for Efficiently Steering Large Language Models

Xintong Wang, Jingheng Pan, Liang Ding, Longyue Wang, Longqin Jiang, Xingshan Li, and Chris Biemann.

Findings of the Association for Computational Linguistics: ACL 2025.

2024

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.