Papers by Ting-Hao Kenneth Huang
LaMP-Cap: Personalized Figure Caption Generation With Multimodal Figure Profiles (2025.findings-emnlp)
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Ho Yin Sam Ng, Edward Hsu, Aashish Anantha Ramakrishnan, Branislav Kveton, Nedim Lipka, Franck Dernoncourt, Dongwon Lee, Tong Yu, Sungchul Kim, Ryan A. Rossi, Ting-Hao Kenneth Huang
| Challenge: | Figure captions are crucial for helping readers understand and remember a figure’s key message. |
| Approach: | They propose a dataset for personalized figure caption generation with multimodal figure profiles that provide inputs and profiles for each figure . |
| Outcome: | The proposed dataset provides inputs and profiles for personalized figure caption generation with multimodal figure profiles. |
From Selection to Generation: A Survey of LLM-based Active Learning (2025.acl-long)
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Yu Xia, Subhojyoti Mukherjee, Zhouhang Xie, Junda Wu, Xintong Li, Ryan Aponte, Hanjia Lyu, Joe Barrow, Hongjie Chen, Franck Dernoncourt, Branislav Kveton, Tong Yu, Ruiyi Zhang, Jiuxiang Gu, Nesreen K. Ahmed, Yu Wang, Xiang Chen, Hanieh Deilamsalehy, Sungchul Kim, Zhengmian Hu, Yue Zhao, Nedim Lipka, Seunghyun Yoon, Ting-Hao Kenneth Huang, Zichao Wang, Puneet Mathur, Soumyabrata Pal, Koyel Mukherjee, Zhehao Zhang, Namyong Park, Thien Huu Nguyen, Jiebo Luo, Ryan A. Rossi, Julian McAuley
| Challenge: | Large Language Models (LLMs) have been used for selection and training of data for active learning. |
| Approach: | They propose an intuitive taxonomy that categorizes LLM-based active learning techniques and discuss the transformative roles they can play in the active learning loop. |
| Outcome: | The proposed model can generate entirely new data instances and provide more cost-effective annotations with fewer labeled data instances. |
Using Contextually Aligned Online Reviews to Measure LLMs’ Performance Disparities Across Language Varieties (2025.naacl-short)
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| Challenge: | Of the world's 7,000 languages, sixty (60) million people speak British English, 23 million speak Taiwan Mandarin, and 10 million speak European Portuguese. |
| Approach: | They propose a contextually aligned dataset that captures comments in different languages from real-world scenarios. |
| Outcome: | The proposed approach shows that large language models underperform in Taiwan Mandarin in a sentiment analysis task. |
"Newspaper Eat" Means "Not Tasty": A Taxonomy and Benchmark for Coded Language in Real-World Chinese Online Reviews (2026.acl-long)
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| Challenge: | Current language models handle coded language poorly, with limited real-world datasets and clear taxonomies. |
| Approach: | They propose a taxonomy that captures common encoding strategies including phonetic, orthographic, and cross-lingual substitutions. |
| Outcome: | The proposed model fails to detect or understand coded language in Chinese reviews . negative reviews can expose users to social pressure, retaliation, or reduced visibility . |