Kuan-Hao Huang

According to our database, Kuan-Hao Huang authored at least 64 papers between 2004 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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

CoRR, May, 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

CoRR, May, 2026

When Correct Demonstrations Hurt: Rethinking the Role of Exemplars in In-Context Learning.

Chenghao Qiu, Chunli Peng, Yufeng Yang, Kuan-Hao Huang, Yi Zhou

CoRR, May, 2026

The First Drop of Ink: Nonlinear Impact of Misleading Information in Long-Context Reasoning.

Muhan Gao, Zih-Ching Chen, Kuan-Hao Huang

CoRR, May, 2026

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 Kuang, Sizhe Zhou, Bowen Jin, Zhendong Chu, Tong Yu, Ryan Rossi, Kuan-Hao Huang, Jingbo Shang, Jiawei Han, Julian J. McAuley

CoRR, May, 2026

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

CoRR, April, 2026

Language Steering for Multilingual In-Context Learning.

Neeraja Kirtane, Kuan-Hao Huang

CoRR, February, 2026

Steering Vector Fields for Context-Aware Inference-Time Control in Large Language Models.

Jiaqian Li, Yanshu Li, Kuan-Hao Huang

CoRR, February, 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

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 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

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 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

CoRR, November, 2025

What's Missing in Vision-Language Models? Probing Their Struggles with Causal Order Reasoning.

Zhaotian Weng, Haoxuan Li, Kuan-Hao Huang, Jieyu Zhao

CoRR, June, 2025

Embodied Agents Meet Personalization: Exploring Memory Utilization for Personalized Assistance.

Taeyoon Kwon, Dongwook Choi, Sunghwan Kim, Hyojun Kim, Seungjun Moon, Beong-woo Kwak, Kuan-Hao Huang, Jinyoung Yeo

CoRR, May, 2025

Adaptive Helpfulness-Harmlessness Alignment with Preference Vectors.

Ren-Wei Liang, Chin-Ting Hsu, Chan-Hung Yu, Saransh Agrawal, Shih-Cheng Huang, Shang-Tse Chen, Kuan-Hao Huang, Shao-Hua Sun

CoRR, April, 2025

Visually Descriptive Language Model for Vector Graphics Reasoning.

Zhenhailong Wang, Joy Hsu, Xingyao Wang, Kuan-Hao Huang, Manling Li, Jiajun Wu, Heng Ji

Trans. Mach. Learn. Res., 2025

SHA256 at SemEval-2025 Task 4: Selective Amnesia - Constrained Unlearning for Large Language Models via Knowledge Isolation.

Saransh Agrawal, Kuan-Hao Huang

Proceedings of the 19th International Workshop on Semantic Evaluation, 2025

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

Proceedings of the Forty-second International Conference on Machine Learning, 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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

FARM: Functional Group-Aware Representations for Small Molecules.

Thao Nguyen, Kuan-Hao Huang, Ge Liu, Martin D. Burke, Ying Diao, Heng Ji

CoRR, 2024

ARMADA: Attribute-Based Multimodal Data Augmentation.

Xiaomeng Jin, Jeonghwan Kim, Yu Zhou, Kuan-Hao Huang, Te-Lin Wu, Nanyun Peng, Heng Ji

CoRR, 2024

Text-Based Reasoning About Vector Graphics.

Zhenhailong Wang, Joy Hsu, Xingyao Wang, Kuan-Hao Huang, Manling Li, Jiajun Wu, Heng Ji

CoRR, 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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Contextual Label Projection for Cross-Lingual Structured Prediction.

Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 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 B. Chilton, Mohit Bansal, Nanyun Peng, Carl Vondrick, Derek Hoiem, Heng Ji

Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024

Understanding and Mitigating Spurious Correlations in Text Classification with Neighborhood Analysis.

Oscar Chew, Hsuan-Tien Lin, Kai-Wei Chang, Kuan-Hao Huang

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2024, 2024

TextEE: Benchmark, Reevaluation, Reflections, and Future Challenges in Event Extraction.

Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Prem Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Building Reliable and Robust Natural Language Processing Models: Enhancing Understanding of Semantically Equivalent Texts

Kuan-Hao Huang

PhD thesis, 2023

A Reevaluation of Event Extraction: Past, Present, and Future Challenges.

Kuan-Hao Huang, I-Hung Hsu, Tanmay Parekh, Zhiyu Xie, Zixuan Zhang, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng, Heng Ji

CoRR, 2023

Contextual Label Projection for Cross-Lingual Structure Extraction.

Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng

CoRR, 2023

Understanding and Mitigating Spurious Correlations in Text Classification.

Oscar Chew, Kuan-Hao Huang, Kai-Wei Chang, Hsuan-Tien Lin

CoRR, 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

CoRR, 2023

Self-Augmentation Improves Zero-Shot Cross-Lingual Transfer.

Fei Wang, Kuan-Hao Huang, Kai-Wei Chang, Muhao Chen

Proceedings of the 13th International Joint Conference on Natural Language Processing and the 3rd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics, 2023

Learning Easily Updated General Purpose Text Representations with Adaptable Task-Specific Prefix.

Kuan-Hao Huang, Liang Tan, Rui Hou, Sinong Wang, Amjad Almahairi, Ruty Rinott

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

PIP: Parse-Instructed Prefix for Syntactically Controlled Paraphrase Generation.

Yixin Wan, Kuan-Hao Huang, Kai-Wei Chang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 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

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

AMPERE: AMR-Aware Prefix for Generation-Based Event Argument Extraction Model.

I-Hung Hsu, Zhiyu Xie, Kuan-Hao Huang, Prem Natarajan, Nanyun Peng

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

TAGPRIME: A Unified Framework for Relational Structure Extraction.

I-Hung Hsu, Kuan-Hao Huang, Shuning Zhang, Wenxin Cheng, Prem Natarajan, Kai-Wei Chang, Nanyun Peng

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

A Simple and Unified Tagging Model with Priming for Relational Structure Predictions.

I-Hung Hsu, Kuan-Hao Huang, Shuning Zhang, Wenxin Cheng, Premkumar Natarajan, Kai-Wei Chang, Nanyun Peng

CoRR, 2022

GENEVA: Pushing the Limit of Generalizability for Event Argument Extraction with 100+ Event Types.

Tanmay Parekh, I-Hung Hsu, Kuan-Hao Huang, Kai-Wei Chang, Nanyun Peng

CoRR, 2022

A Comparative Survey of Deep Active Learning.

Xueying Zhan, Qingzhong Wang, Kuan-Hao Huang, Haoyi Xiong, Dejing Dou, Antoni B. Chan

CoRR, 2022

DEGREE: A Data-Efficient Generation-Based Event Extraction Model.

I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, Nanyun Peng

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Unsupervised Syntactically Controlled Paraphrase Generation with Abstract Meaning Representations.

Kuan-Hao Huang, Varun Iyer, Anoop Kumar, Sriram Venkatapathy, Kai-Wei Chang, Aram Galstyan

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Multilingual Generative Language Models for Zero-Shot Cross-Lingual Event Argument Extraction.

Kuan-Hao Huang, I-Hung Hsu, Prem Natarajan, Kai-Wei Chang, Nanyun Peng

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

DeepAL: Deep Active Learning in Python.

Kuan-Hao Huang

CoRR, 2021

Event Extraction as Natural Language Generation.

I-Hung Hsu, Kuan-Hao Huang, Elizabeth Boschee, Scott Miller, Prem Natarajan, Kai-Wei Chang, Nanyun Peng

CoRR, 2021

Disentangling Semantics and Syntax in Sentence Embeddings with Pre-trained Language Models.

James Y. Huang, Kuan-Hao Huang, Kai-Wei Chang

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Improving Zero-Shot Cross-Lingual Transfer Learning via Robust Training.

Kuan-Hao Huang, Wasi Uddin Ahmad, Nanyun Peng, Kai-Wei Chang

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Generating Syntactically Controlled Paraphrases without Using Annotated Parallel Pairs.

Kuan-Hao Huang, Kai-Wei Chang

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Generating Sports News from Live Commentary: A Chinese Dataset for Sports Game Summarization.

Kuan-Hao Huang, Chen Li, Kai-Wei Chang

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

JECL: Joint Embedding and Cluster Learning for Image-Text Pairs.

Sean T. Yang, Kuan-Hao Huang, Bill Howe

Proceedings of the 25th International Conference on Pattern Recognition, 2020

2019

Dynamic principal projection for cost-sensitive online multi-label classification.

Hong-Min Chu, Kuan-Hao Huang, Hsuan-Tien Lin

Mach. Learn., 2019

MultiDEC: Multi-Modal Clustering of Image-Caption Pairs.

Sean T. Yang, Kuan-Hao Huang, Bill Howe

CoRR, 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

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

2018

Cost-Sensitive Reference Pair Encoding for Multi-Label Learning.

Yao-Yuan Yang, Kuan-Hao Huang, Chih-Wei Chang, Hsuan-Tien Lin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

2017

Cost-sensitive label embedding for multi-label classification.

Kuan-Hao Huang, Hsuan-Tien Lin

Mach. Learn., 2017

2016

Linear Upper Confidence Bound Algorithm for Contextual Bandit Problem with Piled Rewards.

Kuan-Hao Huang, Hsuan-Tien Lin

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2016

A Novel Uncertainty Sampling Algorithm for Cost-Sensitive Multiclass Active Learning.

Kuan-Hao Huang, Hsuan-Tien Lin

Proceedings of the IEEE 16th International Conference on Data Mining, 2016

2015

Undergraduate Students Compete in the IEEE Signal Processing Cup: Part 2 [sp Education].

Carlos Oscar Sánchez Sorzano, Anik Khan, Forsad Al Hossain, Tawab Ullash, Abu Raihan, Mohammed Ariful Haque, Kai-Wen Liang, Yen-Chen Wu, Guan-Lin Chao, Kuan-Hao Huang, Shao-Hua Sun, Ming-Jen Yang, Po-Wen Hsiao, Ti-Fen Pan, Yi-Ching Chiu, Wei-Chih Tu, Shao-Yi Chien, Emroz Khan, Shiekh Zia Uddin, Mukhlasur Rhaman Tanvir, Md. Kamrul Hasan, Jesús Cuenca Alba

IEEE Signal Process. Mag., 2015

2013

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

Proceedings of the 2013 KDD Cup 2013 Workshop, 2013

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

Proceedings of the 2013 KDD Cup 2013 Workshop, 2013

2005

The Hard SCORM LMS: Reading SCORM Courseware on Hardcopy Textbooks.

Timothy K. Shih, Nigel H. Lin, Wen-Chih Chang, Te-Hua Wang, Hsiau Wen Lin, Hsuan-Pu Chang, Kuan-Hao Huang, Yun-Long Sie, Mon-Ting Tzou, Jin-Tan Yang

Proceedings of the 5th IEEE International Conference on Advanced Learning Technologies, 2005

2004

Adaptive pocket SCORM reader.

Timothy K. Shih, Nigel H. Lin, Hsuan-Pu Chang, Kuan-Hao Huang

Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

A Cognition Assessment Authoring System for E-Learning.

Jason C. Hung, L. J. Lin, Wen-Chih Chang, Timothy K. Shih, Hui-Huang Hsu, Han-Bin Chang, Hsuan-Pu Chang, Kuan-Hao Huang

Proceedings of the 24th International Conference on Distributed Computing Systems Workshops (ICDCS 2004 Workshops), 2004