Chieh-Yang Huang

49 papers A* 2B 3Journal 26Unranked 18
YearRankTypeTitle / Venue / Authors
2026 J jnl
Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023.
Trans. Assoc. Comput. Linguistics
Ting-Yao Hsu, Yi-Li Hsu, Shaurya Rohatgi, Chieh-Yang Huang, Ho Yin Sam Ng, Ryan Rossi, Sungchul Kim, Tong Yu, Lun-Wei Ku, Clyde Lee Giles, Ting-Hao Kenneth Huang
2025 J jnl
Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SCICAP Challenge 2023.
CoRR
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
2025 — conf
Inspo: Writing with Crowds Alongside AI.
CHI Extended Abstracts
Chieh-Yang Huang, Sanjana Gautam, Shannon McClellan Brooks, Ya-Fang Lin, Tiffany Knearem, Ting-Hao Kenneth Huang
2025 J jnl
Multi-LLM Collaborative Caption Generation in Scientific Documents.
CoRR
Jaeyoung Kim, Jongho Lee, Hongjun Choi, Ting-Yao Hsu, Chieh-Yang Huang, Sungchul Kim, Ryan A. Rossi, Tong Yu, Clyde Lee Giles, Ting-Hao (Kenneth) Huang, Sungchul Choi
2025 — conf
Using Contextually Aligned Online Reviews to Measure LLMs' Performance Disparities Across Language Varieties.
NAACL (Short Papers)
Zixin Tang, Chieh-Yang Huang, Tsung-Chi Li, Ho Yin Sam Ng, Hen-Hsen Huang, Ting-Hao Kenneth Huang
2025 J jnl
Using Contextually Aligned Online Reviews to Measure LLMs' Performance Disparities Across Language Varieties.
CoRR
Zixin Tang, Chieh-Yang Huang, Tsung-Chi Li, Ho Yin Sam Ng, Hen-Hsen Huang, Ting-Hao Kenneth Huang
2024 J jnl
Generating Educational Materials with Different Levels of Readability using LLMs.
CoRR
Chieh-Yang Huang, Jing Wei, Ting-Hao (Kenneth) Huang
2024 — conf
How Does Conversation Length Impact User's Satisfaction? A Case Study of Length-Controlled Conversations with LLM-Powered Chatbots.
CHI Extended Abstracts
Shih-Hong Huang, Ya-Fang Lin, Zeyu He, Chieh-Yang Huang, Ting-Hao Kenneth Huang
2024 J jnl
How Does Conversation Length Impact User's Satisfaction? A Case Study of Length-Controlled Conversations with LLM-Powered Chatbots.
CoRR
Shih-Hong Huang, Ya-Fang Lin, Zeyu He, Chieh-Yang Huang, Ting-Hao Kenneth Huang
2024 A* conf
If in a Crowdsourced Data Annotation Pipeline, a GPT-4.
CHI
Zeyu He, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Shaurya Rohatgi, Ting-Hao Kenneth Huang
2024 J jnl
If in a Crowdsourced Data Annotation Pipeline, a GPT-4.
CoRR
Zeyu He, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Shaurya Rohatgi, Ting-Hao Kenneth Huang
2024 — conf
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings.
CHI Extended Abstracts
Ting-Yao Hsu, Chieh-Yang Huang, Shih-Hong Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, C. Lee Giles, Ting-Hao Kenneth Huang
2024 J jnl
SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings.
CoRR
Ting-Yao Hsu, Chieh-Yang Huang, Shih-Hong Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, C. Lee Giles, Ting-Hao K. Huang
2023 — conf
ConvXAI : Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing.
CSCW Companion
Hua Shen, Chieh-Yang Huang, Tongshuang Wu, Ting-Hao Kenneth Huang
2023 J jnl
ConvXAI: Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing.
CoRR
Hua Shen, Chieh-Yang Huang, Tongshuang Wu, Ting-Hao Kenneth Huang
2023 J jnl
Conveying the Predicted Future to Users: A Case Study of Story Plot Prediction.
CoRR
Chieh-Yang Huang, Saniya Naphade, Kavya Laalasa Karanam, Ting-Hao Kenneth Huang
2023 — conf
GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions.
EMNLP (Findings)
Ting-Yao Hsu, Chieh-Yang Huang, Ryan A. Rossi, Sungchul Kim, C. Lee Giles, Ting-Hao Kenneth Huang
2023 J jnl
GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions.
CoRR
Ting-Yao Hsu, Chieh-Yang Huang, Ryan A. Rossi, Sungchul Kim, C. Lee Giles, Ting-Hao K. Huang
2023 — conf
Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Papers.
BioNLP@ACL
Shreya Chandrasekhar, Chieh-Yang Huang, Ting-Hao K. Huang
2023 J jnl
Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Papers.
CoRR
Shreya Chandrasekhar, Chieh-Yang Huang, Ting-Hao Kenneth Huang
2023 J jnl
Inspo: Writing Stories with a Flock of AIs and Humans.
CoRR
Chieh-Yang Huang, Sanjana Gautam, Shannon McClellan Brooks, Ya-Fang Lin, Ting-Hao Kenneth Huang
2023 B conf
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization.
INLG
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
2023 J jnl
Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization.
CoRR
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
2023 — conf
What Types of Questions Require Conversation to Answer? A Case Study of AskReddit Questions.
CHI Extended Abstracts
Shih-Hong Huang, Chieh-Yang Huang, Ya-Fang Lin, Ting-Hao Kenneth Huang
2023 J jnl
What Types of Questions Require Conversation to Answer? A Case Study of AskReddit Questions.
CoRR
Shih-Hong Huang, Chieh-Yang Huang, Ya-Fang Lin, Ting-Hao Kenneth Huang
2022 — conf
Guided K-best Selection for Semantic Parsing Annotation.
ACL (demo)
Anton Belyy, Chieh-Yang Huang, Jacob Andreas, Emmanouil Antonios Platanios, Sam Thomson, Richard Shin, Subhro Roy, Aleksandr Nisnevich, Charles Chen, Benjamin Van Durme
2022 J jnl
Too Slow to Be Useful? On Incorporating Humans in the Loop of Smart Speakers.
CoRR
Shih-Hong Huang, Chieh-Yang Huang, Yuxin Deng, Hua Shen, Szu-Chi Kuan, Ting-Hao Kenneth Huang
2021 — conf
Semantic Frame Forecast.
NAACL-HLT
Chieh-Yang Huang, Ting-Hao K. Huang
2021 J jnl
Semantic Frame Forecast.
CoRR
Chieh-Yang Huang, Ting-Hao Kenneth Huang
2020 — conf
Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent.
EMNLP (1)
Yun-Hsuan Jen, Chieh-Yang Huang, Mei-Hua Chen, Ting-Hao K. Huang, Lun-Wei Ku
2020 J jnl
Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent.
CoRR
Yun-Hsuan Jen, Chieh-Yang Huang, Mei-Hua Chen, Ting-Hao Kenneth Huang, Lun-Wei Ku
2020 J jnl
CODA-19: Reliably Annotating Research Aspects on 10,000+ CORD-19 Abstracts Using a Non-Expert Crowd.
CoRR
Ting-Hao Kenneth Huang, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Yen-Chia Hsu, C. Lee Giles
2020 A* conf
Heteroglossia: In-Situ Story Ideation with the Crowd.
CHI
Chieh-Yang Huang, Shih-Hong Huang, Ting-Hao Kenneth Huang
2020 J jnl
Heteroglossia: In-Situ Story Ideation with the Crowd.
CoRR
Chieh-Yang Huang, Shih-Hong Huang, Ting-Hao Kenneth Huang
2020 — conf
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling.
W-NUT@EMNLP
Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang
2020 J jnl
TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text.
CoRR
Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang
2019 — conf
From Receptive to Productive: Learning to Use Confusing Words through Automatically Selected Example Sentences.
BEA@ACL
Chieh-Yang Huang, Yi-Ting Huang, Mei-Hua Chen, Lun-Wei Ku
2019 J jnl
From Receptive to Productive: Learning to Use Confusing Words through Automatically Selected Example Sentences.
CoRR
Chieh-Yang Huang, Yi-Ting Huang, Mei-Hua Chen, Lun-Wei Ku
2019 J jnl
Location Prediction for Tweets.
Frontiers Big Data
Chieh-Yang Huang, Hanghang Tong, Jingrui He, Ross Maciejewski
2019 — conf
Visual Story Post-Editing.
ACL (1)
Ting-Yao Hsu, Chieh-Yang Huang, Yen-Chia Hsu, Ting-Hao K. Huang
2019 J jnl
Visual Story Post-Editing.
CoRR
Ting-Yao Hsu, Chieh-Yang Huang, Yen-Chia Hsu, Ting-Hao Kenneth Huang
2018 B conf
EmotionPush: Emotion and Response Time Prediction Towards Human-Like Chatbots.
GLOBECOM
Chieh-Yang Huang, Lun-Wei Ku
2017 — conf
Challenges in Providing Automatic Affective Feedback in Instant Messaging Applications.
AAAI Spring Symposia
Chieh-Yang Huang, Ting-Hao Kenneth Huang, Lun-Wei Ku
2017 J jnl
Challenges in Providing Automatic Affective Feedback in Instant Messaging Applications.
CoRR
Chieh-Yang Huang, Ting-Hao K. Huang, Lun-Wei Ku
2017 — conf
MoodSwipe: A Soft Keyboard that Suggests MessageBased on User-Specified Emotions.
EMNLP (System Demonstrations)
Chieh-Yang Huang, Tristan Labetoulle, Ting-Hao K. Huang, Yi-Pei Chen, Hung-Chen Chen, Vallari Srivastava, Lun-Wei Ku
2017 J jnl
MoodSwipe: A Soft Keyboard that Suggests Messages Based on User-Specified Emotions.
CoRR
Chieh-Yang Huang, Tristan Labetoulle, Ting-Hao (Kenneth) Huang, Yi-Pei Chen, Hung-Chen Chen, Vallari Srivastava, Lun-Wei Ku
2017 — conf
Towards a Better Learning of Near-Synonyms: Automatically Suggesting Example Sentences via Fill in the Blank.
WWW (Companion Volume)
Chieh-Yang Huang, Mei-Hua Chen, Lun-Wei Ku
2016 — conf
Automatically Suggesting Example Sentences of Near-Synonyms for Language Learners.
COLING (Demos)
Chieh-Yang Huang, Nicole Peinelt, Lun-Wei Ku
2016 B conf
GiveMeExample: Learning confusing words by example sentences.
ASONAM
Chieh-Yang Huang, Lun-Wei Ku