Publications
(* denotes equal contribution, # denotes jointly supervising)2026
- TRACES: Proactive Safety Auditing for Multi-Turn LLM Agents via Trajectory-State Modeling
Jiaqian Li, Yanshu Li, Boxuan Zhang, Ruixiang Tang, Kuan-Hao Huang
arXiv preprint - When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning
Chenghao Qiu, Chunli Peng, Yufeng Yang, Kuan-Hao Huang, Yi Zhou
arXiv preprint - Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning
Rohan Surana, Gagan Mundada, Xunyi Jiang, Chuhan Wang, Zhenwei Tang, Difan Jiao, Zihan Huang, Yuxin Xiong, Junda Wu, Sheldon Yu, Xintong Li, Raghav Jain, Nikki Lijing Kuang, Sizhe Zhou, Bowen Jin, Zhendong Chu, Tong Yu, Ryan Rossi, Kuan-Hao Huang, Jingbo Shang, Jiawei Han, Julian McAuley
arXiv preprint - Steering Vector Fields for Context-Aware Inference-Time Control in Large Language Models
Jiaqian Li, Yanshu Li, Kuan-Hao Huang
arXiv preprint - Language Steering for Multilingual In-Context Learning
Neeraja Kirtane, Kuan-Hao Huang
arXiv preprint - Is CLIP Cross-Eyed? Revealing and Mitigating Center Bias in the CLIP Family
Oscar Chew, Hsiao-Ying Huang, Kunal Jain, Tai-I Chen, Khoa D. Doan, Kuan-Hao Huang
COLM 2026 - From Papers to Panoramas: Building Hierarchies of Scientific Literature at Scale
Muhan Gao, Jash Shah, Weiqi Wang, Kuan-Hao Huang, Daniel Khashabi
COLM 2026 - The First Drop of Ink: Nonlinear Impact of Misleading Information in Long-Context Reasoning
Muhan Gao, Zih-Ching Chen, Kuan-Hao Huang
ICML 2026 - Pop-Up Distractions Reveal Bag-of-Events Behavior in Video Large Language Models
Oscar Chew*, Serhii Honcharenko*, Qian-Hui Chen, Patricia Lu, Dishant Zaveri, Khoa D. Doan, Kuan-Hao Huang
ICML 2026 Workshop on Efficient Multimodal Question Answering - Look Before You Zoom: Adaptive Routing for the Resolution-Context Trade-off in Visual RAG
Oanh N. Tran, Thanh Quoc Hung Le, Oscar Chew, Kuan-Hao Huang#, Khoa D. Doan#
ICML 2026 Workshop on Efficient Multimodal Question Answering - Embodied Agents Meet Personalization: Investigating Challenges and Solutions Through the Lens of Memory Utilization
Taeyoon Kwon*, Dongwook Choi*, Sunghwan Kim, Hyojun Kim, Seungjun Moon, Beong-woo Kwak, Kuan-Hao Huang, Jinyoung Yeo
ICLR 2026 - What's Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning
Zhaotian Weng, Haoxuan Li, Xin Eric Wang, Kuan-Hao Huang, Jieyu Zhao
EACL 2026 - Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors
Ren-Wei Liang*, Chin-Ting Hsu*, Chan-Hung Yu, Saransh Agrawal, Shih-Cheng Huang, Chieh-Yen Lin, Shang-Tse Chen, Kuan-Hao Huang, Shao-Hua Sun
EACL 2026
2025
- PEPPER: Perception-Guided Perturbation for Robust Backdoor Defense in Text-to-Image Diffusion Models
Oscar Chew*, Po-Yi Lu*, Jayden Lin, Kuan-Hao Huang, Hsuan-Tien Lin
arXiv preprint - Visually Descriptive Language Model for Vector Graphics Reasoning
Zhenhailong Wang, Joy Hsu, Xingyao Wang, Kuan-Hao Huang, Manling Li, Jiajun Wu, Heng Ji
Transactions on Machine Learning Research - Contrastive Visual Data Augmentation
Yu Zhou*, Bingxuan Li*, Mohan Tang*, Xiaomeng Jin, Te-Lin Wu, Kuan-Hao Huang, Heng Ji, Kai-Wei Chang, Nanyun Peng
ICML 2025 - Eliminating Position Bias of Language Models: A Mechanistic Approach
Ziqi Wang, Hanlin Zhang, Xiner Li, Kuan-Hao Huang, Chi Han, Shuiwang Ji, Sham M. Kakade, Hao Peng, Heng Ji
ICLR 2025 - SHA256 at SemEval-2025 Task 4: Selective Amnesia – Constrained Unlearning for Large Language Models via Knowledge Isolation
Saransh Agrawal, Kuan-Hao Huang
SemEval 2025 - FARM: Functional Group-Aware Representations for Small Molecules
Thao Nguyen, Kuan-Hao Huang, Ge Liu, Martin D. Burke, Ying Diao, Heng Ji
NAACL 2025 Workshop on AI and Scientific Discovery: Directions and Opportunities
2024
- ARMADA: Attribute-Based Multimodal Data Augmentation
Xiaomeng Jin, Jeonghwan Kim, Yu Zhou, Kuan-Hao Huang, Te-Lin Wu, Nanyun Peng, Heng Ji
EMNLP 2024 Workshop on Advancing Natural Language Process for Wikipedia - TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction
Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji
ACL-Findings 2024 - Contextual Label Projection for Cross-Lingual Structure Prediction
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
NAACL 2024 - Event Detection from Social Media for Epidemic Prediction
Tanmay Parekh, Anh Mac, Jiarui Yu, Yuxuan Dong, Syed Shahriar, Bonnie Liu, Eric Yang, Kuan-Hao Huang, Wei Wang, Nanyun Peng, Kai-Wei Chang
NAACL 2024 - Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis
Oscar Chew, Hsuan-Tien Lin, Kai-Wei Chang, Kuan-Hao Huang
EACL-Findings 2024 - MIRACLE: An Online, Explainable Multimodal Interactive Concept Learning System
Ansel Blume, Khanh Duy Nguyen, Zhenhailong Wang, Yangyi Chen, Michal Shlapentokh-Rothman, Xiaomeng Jin, Jeonghwan Kim, Zhen Zhu, Jiateng Liu, Kuan-Hao Huang, Mankeerat Sidhu, Xuanming Zhang, Vivian Liu, Raunak Sinha, Te-Lin Wu, Abhay Zala, Elias Stengel-Eskin, Da Yin, Yao Xiao, Utkarsh Mall, Zhou Yu, Kai-Wei Chang, Camille Cobb, Karrie Karahalios, Lydia Chilton, Mohit Bansal, Nanyun Peng, Carl Vondrick, Derek Hoiem, Heng Ji
ACMMM 2024 Technical Demos and Videos Program
2023
- Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefixes
Kuan-Hao Huang, Liang Tan, Rui Hou, Sinong Wang, Amjad Almahairi, Ruty Rinott
EMNLP-Findings 2023 - Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer
Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen
AACL 2023 - ParaAMR: A Large-Scale Syntactically Diverse Paraphrase Dataset by AMR Back-Translation
Kuan-Hao Huang, Varun Iyer, I-Hung Hsu, Anoop Kumar, Kai-Wei Chang, Aram Galstyan
ACL 2023 Area Chair Paper Award - TAGPRIME: A Unified Framework for Relational Structure Extraction
I-Hung Hsu*, Kuan-Hao Huang*, Shuning Zhang, Wenxin Cheng, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng
ACL 2023 - AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model
I-Hung Hsu*, Zhiyu Xie*, Kuan-Hao Huang, Premkumar Natarajan, Nanyun Peng
ACL 2023 - GENEVA: Benchmarking Generalizability for Event Argument Extraction with Hundreds of Event Types and Argument Roles
Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng
ACL 2023 - PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation
Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang
ACL-Findings 2023
2022
- A Comparative Survey of Deep Active Learning
Xueying Zhan, Qingzhong Wang, Kuan-Hao Huang, Haoyi Xiong, Dejing Dou, Antoni B. Chan
NeurIPS 2022 Workshop on Human in the Loop Learning - Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations
Kuan-Hao Huang*, Varun Iyer*, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan
EMNLP-Findings 2022 - Zero-Shot Cross-Lingual Sequence Tagging as Seq2Seq Generation for Joint Intent Classification and Slot Filling
Fei Wang, Kuan-Hao Huang, Anoop Kumar, Aram Galstyan, Greg Ver steeg, Kai-Wei Chang
EMNLP 2022 Workshop on Massively Multilingual Natural Language Understanding - DEGREE: A Data-Efficient Generation-Based Event Extraction Model
I-Hung Hsu*, Kuan-Hao Huang*, Elizabeth Boschee, Scott Miller, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng
NAACL 2022 - Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction
Kuan-Hao Huang*, I-Hung Hsu*, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng
ACL 2022
2021
- Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training
Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang
EMNLP 2021 - Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models
James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang
NAACL 2021 - Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs
Kuan-Hao Huang, Kai-Wei Chang
EACL 2021
2020
- Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization
Kuan-Hao Huang, Chen Li, Kai-Wei Chang
AACL 2020 - JECL: Joint Embedding and Cluster Learning for Image-Text Pairs
Sean T. Yang, Kuan-Hao Huang, Bill Howe
ICPR 2020
2019
- Examining Gender Bias in Languages with Grammatical Gender
Pei Zhou, Weijia Shi, Jieyu Zhao, Kuan-Hao Huang, Muhao Chen, Ryan Cotterell, Kai-Wei Chang
EMNLP 2019 - Dynamic Principal Projection for Cost-Sensitive Online Multi-Label Classification
Hong-Min Chu, Kuan-Hao Huang, Hsuan-Tien Lin
Machine Learning (ECML PKDD 2019 Journal Track)
Before 2019
- Cost-Sensitive Reference Pair Encoding for Multi-Label Learning
Yao-Yuan Yang, Kuan-Hao Huang, Chih-Wei Chang, Hsuan-Tien Lin
PAKDD 2018 - Cost-Sensitive Label Embedding for Multi-Label Classification
Kuan-Hao Huang, Hsuan-Tien Lin
Machine Learning (ECML PKDD 2017 Journal Track) - A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning
Kuan-Hao Huang, Hsuan-Tien Lin
ICDM 2016 - Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards
Kuan-Hao Huang, Hsuan-Tien Lin
PAKDD 2016 - Combination of Feature Engineering and Ranking Models for Paper-Author Identification in KDD Cup 2013
Chun-Liang Li, Yu-Chuan Su, Ting-Wei Lin, Cheng-Hao Tsai, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Chun-Pai Yang, Cheng-Xia Chang, Wei-Sheng Chin, Yu-Chin Juan, Hsiao-Yu Tung, Jui-Pin Wang, Cheng-Kuang Wei, Felix Wu, Tu-Chun Yin, Tong Yu, Yong Zhuang, Shou-de Lin, Hsuan-Tien Lin, Chih-Jen Lin
Journal of Machine Learning Research - Effective String Processing and Matching for Author Disambiguation
Wei-Sheng Chin, Yu-Chin Juan, Yong Zhuang, Felix Wu, Hsiao-Yu Tung, Tong Yu, Jui-Pin Wang, Cheng-Xia Chang, Chun-Pai Yang, Wei-Cheng Chang, Kuan-Hao Huang, Tzu-Ming Kuo, Shan-Wei Lin, Young-San Lin, Yu-Chen Lu, Yu-Chuan Su, Cheng-Kuang Wei, Tu-Chun Yin, Chun-Liang Li, Ting-Wei Lin, Cheng-Hao Tsai, Shou-de Lin, Hsuan-Tien Lin, Chih-Jen Lin
Journal of Machine Learning Research