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Chieh-Yang Huang
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Publications
- 2025
- [c23]Chieh-Yang Huang
, Sanjana Gautam
, Shannon McClellan Brooks
, Ya-Fang Lin
, Tiffany Knearem
, Ting-Hao Kenneth Huang
:
Inspo: Writing with Crowds Alongside AI. CHI Extended Abstracts 2025: 344:1-344:9 - [c22]Zixin Tang, Chieh-Yang Huang, Tsung-Chi Li, Ho Yin Sam Ng, Hen-Hsen Huang, Ting-Hao Kenneth Huang:
Using Contextually Aligned Online Reviews to Measure LLMs' Performance Disparities Across Language Varieties. NAACL (Short Papers) 2025: 342-355 - [i24]Jaeyoung Kim, Jongho Lee, Hong-Jun Choi, Ting-Yao Hsu, Chieh-Yang Huang, Sungchul Kim, Ryan A. Rossi, Tong Yu, Clyde Lee Giles, Ting-Hao (Kenneth) Huang, Sungchul Choi:
Multi-LLM Collaborative Caption Generation in Scientific Documents. CoRR abs/2501.02552 (2025) - [i23]Ting-Yao Hsu, Yi-Li Hsu, Shaurya Rohatgi, Chieh-Yang Huang, Ho Yin Sam Ng, Ryan A. Rossi, Sungchul Kim, Tong Yu, Lun-Wei Ku, C. Lee Giles, Ting-Hao K. Huang:
Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SCICAP Challenge 2023. CoRR abs/2501.19353 (2025) - [i22]Zixin Tang, Chieh-Yang Huang, Tsung-Chi Li, Ho Yin Sam Ng, Hen-Hsen Huang, Ting-Hao Kenneth Huang:
Using Contextually Aligned Online Reviews to Measure LLMs' Performance Disparities Across Language Varieties. CoRR abs/2502.07058 (2025) - 2024
- [c21]Shih-Hong Huang
, Ya-Fang Lin
, Zeyu He
, Chieh-Yang Huang
, Ting-Hao Kenneth Huang
:
How Does Conversation Length Impact User's Satisfaction? A Case Study of Length-Controlled Conversations with LLM-Powered Chatbots. CHI Extended Abstracts 2024: 188:1-188:13 - [c20]Ting-Yao Hsu
, Chieh-Yang Huang
, Shih-Hong Huang
, Ryan A. Rossi
, Sungchul Kim
, Tong Yu
, C. Lee Giles
, Ting-Hao Kenneth Huang
:
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings. CHI Extended Abstracts 2024: 284:1-284:9 - [c19]Zeyu He
, Chieh-Yang Huang
, Chien-Kuang Cornelia Ding
, Shaurya Rohatgi
, Ting-Hao Kenneth Huang
:
If in a Crowdsourced Data Annotation Pipeline, a GPT-4. CHI 2024: 1040:1-1040:25 - [i21]Zeyu He, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Shaurya Rohatgi, Ting-Hao Kenneth Huang:
If in a Crowdsourced Data Annotation Pipeline, a GPT-4. CoRR abs/2402.16795 (2024) - [i20]Ting-Yao Hsu, Chieh-Yang Huang, Shih-Hong Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, C. Lee Giles, Ting-Hao K. Huang:
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings. CoRR abs/2403.17784 (2024) - [i19]Shih-Hong Huang, Ya-Fang Lin, Zeyu He, Chieh-Yang Huang, Ting-Hao Kenneth Huang:
How Does Conversation Length Impact User's Satisfaction? A Case Study of Length-Controlled Conversations with LLM-Powered Chatbots. CoRR abs/2404.17025 (2024) - [i18]Chieh-Yang Huang, Jing Wei, Ting-Hao (Kenneth) Huang:
Generating Educational Materials with Different Levels of Readability using LLMs. CoRR abs/2406.12787 (2024) - 2023
- [c18]Shreya Chandrasekhar, Chieh-Yang Huang, Ting-Hao K. Huang
:
Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Papers. BioNLP@ACL 2023: 103-113 - [c17]Shih-Hong Huang
, Chieh-Yang Huang
, Ya-Fang Lin
, Ting-Hao Kenneth Huang
:
What Types of Questions Require Conversation to Answer? A Case Study of AskReddit Questions. CHI Extended Abstracts 2023: 319:1-319:9 - [c16]Hua Shen
, Chieh-Yang Huang
, Tongshuang Wu
, Ting-Hao Kenneth Huang
:
ConvXAI : Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing. CSCW Companion 2023: 384-387 - [c15]Ting-Yao Hsu, Chieh-Yang Huang, Ryan A. Rossi, Sungchul Kim, C. Lee Giles, Ting-Hao Kenneth Huang
:
GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions. EMNLP (Findings) 2023: 5464-5474 - [c14]Chieh-Yang Huang, Ting-Yao Hsu, Ryan A. Rossi, Ani Nenkova, Sungchul Kim, Gromit Yeuk-Yin Chan, Eunyee Koh, C. Lee Giles, Ting-Hao (Kenneth) Huang
:
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. INLG 2023: 80-92 - [i17]Chieh-Yang Huang, Saniya Naphade, Kavya Laalasa Karanam, Ting-Hao Kenneth Huang:
Conveying the Predicted Future to Users: A Case Study of Story Plot Prediction. CoRR abs/2302.09122 (2023) - [i16]Chieh-Yang Huang, Ting-Yao Hsu, Ryan A. Rossi, Ani Nenkova, Sungchul Kim, Gromit Yeuk-Yin Chan, Eunyee Koh, Clyde Lee Giles, Ting-Hao Kenneth Huang:
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization. CoRR abs/2302.12324 (2023) - [i15]Shih-Hong Huang, Chieh-Yang Huang, Ya-Fang Lin, Ting-Hao Kenneth Huang:
What Types of Questions Require Conversation to Answer? A Case Study of AskReddit Questions. CoRR abs/2303.17710 (2023) - [i14]Hua Shen, Chieh-Yang Huang, Tongshuang Wu, Ting-Hao Kenneth Huang:
ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing. CoRR abs/2305.09770 (2023) - [i13]Shreya Chandrasekhar, Chieh-Yang Huang, Ting-Hao Kenneth Huang:
Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Papers. CoRR abs/2306.04820 (2023) - [i12]Ting-Yao Hsu, Chieh-Yang Huang, Ryan A. Rossi, Sungchul Kim, C. Lee Giles, Ting-Hao K. Huang:
GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions. CoRR abs/2310.15405 (2023) - [i11]Chieh-Yang Huang, Sanjana Gautam, Shannon McClellan Brooks
, Ya-Fang Lin, Ting-Hao Kenneth Huang:
Inspo: Writing Stories with a Flock of AIs and Humans. CoRR abs/2311.16521 (2023) - 2022
- [i10]Shih-Hong Huang, Chieh-Yang Huang, Yuxin Deng, Hua Shen, Szu-Chi Kuan, Ting-Hao Kenneth Huang:
Too Slow to Be Useful? On Incorporating Humans in the Loop of Smart Speakers. CoRR abs/2212.03969 (2022) - 2021
- [c12]Chieh-Yang Huang
, Ting-Hao K. Huang
:
Semantic Frame Forecast. NAACL-HLT 2021: 2702-2713 - [i9]Chieh-Yang Huang, Ting-Hao Kenneth Huang:
Semantic Frame Forecast. CoRR abs/2104.05604 (2021) - 2020
- [c10]Chieh-Yang Huang
, Shih-Hong Huang, Ting-Hao Kenneth Huang
:
Heteroglossia: In-Situ Story Ideation with the Crowd. CHI 2020: 1-12 - [c9]Yun-Hsuan Jen, Chieh-Yang Huang, Mei-Hua Chen, Ting-Hao K. Huang
, Lun-Wei Ku:
Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent. EMNLP (1) 2020: 3807-3817 - [i8]Chieh-Yang Huang, Shih-Hong Huang, Ting-Hao Kenneth Huang:
Heteroglossia: In-Situ Story Ideation with the Crowd. CoRR abs/2001.04519 (2020) - [i7]Ting-Hao Kenneth Huang, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Yen-Chia Hsu, C. Lee Giles:
CODA-19: Reliably Annotating Research Aspects on 10,000+ CORD-19 Abstracts Using a Non-Expert Crowd. CoRR abs/2005.02367 (2020) - [i5]Yun-Hsuan Jen, Chieh-Yang Huang, Mei-Hua Chen, Ting-Hao Kenneth Huang, Lun-Wei Ku
:
Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent. CoRR abs/2010.02179 (2020) - 2019
- [c8]Ting-Yao Hsu, Chieh-Yang Huang
, Yen-Chia Hsu
, Ting-Hao K. Huang:
Visual Story Post-Editing. ACL (1) 2019: 6581-6586 - [i4]Ting-Yao Hsu, Chieh-Yang Huang, Yen-Chia Hsu, Ting-Hao Kenneth Huang:
Visual Story Post-Editing. CoRR abs/1906.01764 (2019) - 2017
- [c5]Chieh-Yang Huang, Ting-Hao Kenneth Huang, Lun-Wei Ku:
Challenges in Providing Automatic Affective Feedback in Instant Messaging Applications. AAAI Spring Symposia 2017 - [c4]Chieh-Yang Huang, Tristan Labetoulle, Ting-Hao K. Huang, Yi-Pei Chen, Hung-Chen Chen, Vallari Srivastava, Lun-Wei Ku:
MoodSwipe: A Soft Keyboard that Suggests MessageBased on User-Specified Emotions. EMNLP (System Demonstrations) 2017: 73-78 - [i2]Chieh-Yang Huang, Ting-Hao K. Huang, Lun-Wei Ku:
Challenges in Providing Automatic Affective Feedback in Instant Messaging Applications. CoRR abs/1702.02736 (2017) - [i1]Chieh-Yang Huang, Tristan Labetoulle, Ting-Hao (Kenneth) Huang, Yi-Pei Chen, Hung-Chen Chen, Vallari Srivastava, Lun-Wei Ku:
MoodSwipe: A Soft Keyboard that Suggests Messages Based on User-Specified Emotions. CoRR abs/1707.07191 (2017)

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last updated on 2025-07-29 19:53 CEST by the dblp team
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