James Y. Huang

24 papers A* 3A 1Journal 15Unranked 5

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	ArenaBencher: Automatic Benchmark Evolution via Multi-Model Competitive Evaluation. CoRR Qin Liu, Jacob Dineen, James Y. Huang, Sheng Zhang, Hoifung Poon, Ben Zhou, Muhao Chen
2025	J	`jnl`	Be My Eyes: Extending Large Language Models to New Modalities Through Multi-Agent Collaboration. CoRR James Y. Huang, Sheng Zhang, Qianchu Liu, Guanghui Qin, Tinghui Zhu, Tristan Naumann, Muhao Chen, Hoifung Poon
2025	—	`conf`	DeAL: Decoding-time Alignment for Large Language Models. ACL (1) James Y. Huang, Sailik Sengupta, Daniele Bonadiman, Yi-An Lai, Arshit Gupta, Nikolaos Pappas, Saab Mansour, Katrin Kirchhoff, Dan Roth
2025	J	`jnl`	MetaScale: Test-Time Scaling with Evolving Meta-Thoughts. CoRR Qin Liu, Wenxuan Zhou, Nan Xu, James Y. Huang, Fei Wang, Sheng Zhang, Hoifung Poon, Muhao Chen
2025	A*	`conf`	MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. ICLR Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Jacky Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen
2025	J	`jnl`	Offset Unlearning for Large Language Models. Trans. Mach. Learn. Res. James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen
2025	J	`jnl`	OmniStruct: Universal Text-to-Structure Generation across Diverse Schemas. CoRR James Y. Huang, Wenxuan Zhou, Nan Xu, Fei Wang, Qin Liu, Sheng Zhang, Hoifung Poon, Muhao Chen
2024	—	`conf`	Contrastive Instruction Tuning. ACL (Findings) Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen
2024	J	`jnl`	Contrastive Instruction Tuning. CoRR Tianyi Yan, Fei Wang, James Y. Huang, Wenxuan Zhou, Fan Yin, Aram Galstyan, Wenpeng Yin, Muhao Chen
2024	J	`jnl`	DeAL: Decoding-time Alignment for Large Language Models. CoRR James Y. Huang, Sailik Sengupta, Daniele Bonadiman, Yi'an Lai, Arshit Gupta, Nikolaos Pappas, Saab Mansour, Katrin Kirchhoff, Dan Roth
2024	J	`jnl`	MuirBench: A Comprehensive Benchmark for Robust Multi-image Understanding. CoRR Fei Wang, Xingyu Fu, James Y. Huang, Zekun Li, Qin Liu, Xiaogeng Liu, Mingyu Derek Ma, Nan Xu, Wenxuan Zhou, Kai Zhang, Tianyi Lorena Yan, Wenjie Mo, Hsiang-Hui Liu, Pan Lu, Chunyuan Li, Chaowei Xiao, Kai-Wei Chang, Dan Roth, Sheng Zhang, Hoifung Poon, Muhao Chen
2024	J	`jnl`	Offset Unlearning for Large Language Models. CoRR James Y. Huang, Wenxuan Zhou, Fei Wang, Fred Morstatter, Sheng Zhang, Hoifung Poon, Muhao Chen
2024	A*	`conf`	mDPO: Conditional Preference Optimization for Multimodal Large Language Models. EMNLP Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen
2024	J	`jnl`	mDPO: Conditional Preference Optimization for Multimodal Large Language Models. CoRR Fei Wang, Wenxuan Zhou, James Y. Huang, Nan Xu, Sheng Zhang, Hoifung Poon, Muhao Chen
2023	A*	`conf`	Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations. EMNLP James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu
2023	J	`jnl`	Bridging Continuous and Discrete Spaces: Interpretable Sentence Representation Learning via Compositional Operations. CoRR James Y. Huang, Wenlin Yao, Kaiqiang Song, Hongming Zhang, Muhao Chen, Dong Yu
2023	A	`conf`	Parameter-Efficient Tuning with Special Token Adaptation. EACL Xiaocong Yang, James Y. Huang, Wenxuan Zhou, Muhao Chen
2023	—	`conf`	Robust Natural Language Understanding with Residual Attention Debiasing. ACL (Findings) Fei Wang, James Y. Huang, Tianyi Yan, Wenxuan Zhou, Muhao Chen
2023	J	`jnl`	Robust Natural Language Understanding with Residual Attention Debiasing. CoRR Fei Wang, James Y. Huang, Tianyi Yan, Wenxuan Zhou, Muhao Chen
2022	J	`jnl`	Parameter-Efficient Tuning with Special Token Adaptation. CoRR Xiaocong Yang, James Y. Huang, Wenxuan Zhou, Muhao Chen
2022	—	`conf`	Unified Semantic Typing with Meaningful Label Inference. NAACL-HLT James Y. Huang, Bangzheng Li, Jiashu Xu, Muhao Chen
2022	J	`jnl`	Unified Semantic Typing with Meaningful Label Inference. CoRR James Y. Huang, Bangzheng Li, Jiashu Xu, Muhao Chen
2021	—	`conf`	Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models. NAACL-HLT James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang
2021	J	`jnl`	Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models. CoRR James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang