Chieh-Yang Huang

According to our database, Chieh-Yang Huang authored at least 29 papers between 2016 and 2024.

Collaborative distances:

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

2024

Generating Educational Materials with Different Levels of Readability using LLMs.

Chieh-Yang Huang, Jing Wei, Ting-Hao (Kenneth) Huang

CoRR, 2024

How Does Conversation Length Impact User's Satisfaction? A Case Study of Length-Controlled Conversations with LLM-Powered Chatbots.

Shih-Hong Huang, Ya-Fang Lin, Zeyu He, Chieh-Yang Huang, Ting-Hao Kenneth Huang

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

SciCapenter: Supporting Caption Composition for Scientific Figures with Machine-Generated Captions and Ratings.

Ting-Yao Hsu, Chieh-Yang Huang, Shih-Hong Huang, Ryan A. Rossi, Sungchul Kim, Tong Yu, C. Lee Giles, Ting-Hao Kenneth Huang

Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024

If in a Crowdsourced Data Annotation Pipeline, a GPT-4.

Zeyu He, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Shaurya Rohatgi, Ting-Hao Kenneth Huang

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024

2023

Inspo: Writing Stories with a Flock of AIs and Humans.

Chieh-Yang Huang, Sanjana Gautam, Shannon McClellan Brooks, Ya-Fang Lin, Ting-Hao Kenneth Huang

CoRR, 2023

Conveying the Predicted Future to Users: A Case Study of Story Plot Prediction.

Chieh-Yang Huang, Saniya Naphade, Kavya Laalasa Karanam, Ting-Hao Kenneth Huang

CoRR, 2023

Summaries as Captions: Generating Figure Captions for Scientific Documents with Automated Text Summarization.

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

Proceedings of the 16th International Natural Language Generation Conference, 2023

GPT-4 as an Effective Zero-Shot Evaluator for Scientific Figure Captions.

Ting-Yao Hsu, Chieh-Yang Huang, Ryan A. Rossi, Sungchul Kim, C. Lee Giles, Ting-Hao Kenneth Huang

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

ConvXAI : Delivering Heterogeneous AI Explanations via Conversations to Support Human-AI Scientific Writing.

Hua Shen, Chieh-Yang Huang, Tongshuang Wu, Ting-Hao Kenneth Huang

Proceedings of the Computer Supported Cooperative Work and Social Computing, 2023

What Types of Questions Require Conversation to Answer? A Case Study of AskReddit Questions.

Shih-Hong Huang, Chieh-Yang Huang, Ya-Fang Lin, Ting-Hao Kenneth Huang

Proceedings of the Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, 2023

Good Data, Large Data, or No Data? Comparing Three Approaches in Developing Research Aspect Classifiers for Biomedical Papers.

Shreya Chandrasekhar, Chieh-Yang Huang, Ting-Hao K. Huang

Proceedings of the 22nd Workshop on Biomedical Natural Language Processing and BioNLP Shared Tasks, 2023

2022

Too Slow to Be Useful? On Incorporating Humans in the Loop of Smart Speakers.

Shih-Hong Huang, Chieh-Yang Huang, Yuxin Deng, Hua Shen, Szu-Chi Kuan, Ting-Hao Kenneth Huang

CoRR, 2022

Guided K-best Selection for Semantic Parsing Annotation.

Anton Belyy, Chieh-Yang Huang, Jacob Andreas, Emmanouil Antonios Platanios, Sam Thomson, Richard Shin, Subhro Roy, Aleksandr Nisnevich, Charles Chen, Benjamin Van Durme

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics, 2022

2021

Semantic Frame Forecast.

Chieh-Yang Huang, Ting-Hao K. Huang

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

2020

TEST_POSITIVE at W-NUT 2020 Shared Task-3: Joint Event Multi-task Learning for Slot Filling in Noisy Text.

Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang

CoRR, 2020

CODA-19: Reliably Annotating Research Aspects on 10,000+ CORD-19 Abstracts Using a Non-Expert Crowd.

Ting-Hao Kenneth Huang, Chieh-Yang Huang, Chien-Kuang Cornelia Ding, Yen-Chia Hsu, C. Lee Giles

CoRR, 2020

Assessing the Helpfulness of Learning Materials with Inference-Based Learner-Like Agent.

Yun-Hsuan Jen, Chieh-Yang Huang, Mei-Hua Chen, Ting-Hao K. Huang, Lun-Wei Ku

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Heteroglossia: In-Situ Story Ideation with the Crowd.

Chieh-Yang Huang, Shih-Hong Huang, Ting-Hao Kenneth Huang

Proceedings of the CHI '20: CHI Conference on Human Factors in Computing Systems, 2020

TEST_POSITIVE at W-NUT 2020 Shared Task-3: Cross-task modeling.

Chacha Chen, Chieh-Yang Huang, Yaqi Hou, Yang Shi, Enyan Dai, Jiaqi Wang

Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

2019

Location Prediction for Tweets.

Chieh-Yang Huang, Hanghang Tong, Jingrui He, Ross Maciejewski

Frontiers Big Data, 2019

From Receptive to Productive: Learning to Use Confusing Words through Automatically Selected Example Sentences.

Chieh-Yang Huang, Yi-Ting Huang, Mei-Hua Chen, Lun-Wei Ku

Proceedings of the Fourteenth Workshop on Innovative Use of NLP for Building Educational Applications, 2019

Visual Story Post-Editing.

Ting-Yao Hsu, Chieh-Yang Huang, Yen-Chia Hsu, Ting-Hao K. Huang

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

EmotionPush: Emotion and Response Time Prediction Towards Human-Like Chatbots.

Chieh-Yang Huang, Lun-Wei Ku

Proceedings of the IEEE Global Communications Conference, 2018

2017

MoodSwipe: A Soft Keyboard that Suggests Messages Based on User-Specified Emotions.

Chieh-Yang Huang, Tristan Labetoulle, Ting-Hao (Kenneth) Huang, Yi-Pei Chen, Hung-Chen Chen, Vallari Srivastava, Lun-Wei Ku

CoRR, 2017

Towards a Better Learning of Near-Synonyms: Automatically Suggesting Example Sentences via Fill in the Blank.

Chieh-Yang Huang, Mei-Hua Chen, Lun-Wei Ku

Proceedings of the 26th International Conference on World Wide Web Companion, 2017

MoodSwipe: A Soft Keyboard that Suggests MessageBased on User-Specified Emotions.

Chieh-Yang Huang, Tristan Labetoulle, Ting-Hao K. Huang, Yi-Pei Chen, Hung-Chen Chen, Vallari Srivastava, Lun-Wei Ku

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017

Challenges in Providing Automatic Affective Feedback in Instant Messaging Applications.

Chieh-Yang Huang, Ting-Hao Kenneth Huang, Lun-Wei Ku

Proceedings of the 2017 AAAI Spring Symposia, 2017

2016

Automatically Suggesting Example Sentences of Near-Synonyms for Language Learners.

Chieh-Yang Huang, Nicole Peinelt, Lun-Wei Ku

Proceedings of the COLING 2016, 2016

GiveMeExample: Learning confusing words by example sentences.

Chieh-Yang Huang, Lun-Wei Ku

Proceedings of the 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, 2016