ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO - Daechul Ahn; Yura Choi; San Kim; Youngjae Yu; Dongyeop Kang; Jonghyun Choi (AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA, 2025)

Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models - Shirley Anugrah Hayati; Taehee Jung; Tristan Bodding-Long; Sudipta Kar; Abhinav Sethy; Joo-Kyung Kim; Dongyeop Kang (AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25 - March 4, 2025, Philadelphia, PA, USA, 2025)

How LLMs Comprehend Temporal Meaning in Narratives: A Case Study in Cognitive Evaluation of LLMs - Karin de Langis; Jong Inn Park; Andreas Schramm; Bin Hu; Khanh Chi Le; Dongyeop Kang (Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2025, Vienna, Austria, July 27 - August 1, 2025, 2025)

Joint Reward and Policy Learning with Demonstrations and Human Feedback Improves Alignment - Chenliang Li; Siliang Zeng; Zeyi Liao; Jiaxiang Li; Dongyeop Kang; Alfredo García; Mingyi Hong (The Thirteenth International Conference on Learning Representations, ICLR 2025, Singapore, April 24-28, 2025, 2025)

ScholaWrite: A Dataset of End-to-End Scholarly Writing Process - Linghe Wang; Minhwa Lee; Ross Volkov; Luan Tuyen Chau; Dongyeop Kang (CoRR, 2025)

RoSTE: An Efficient Quantization-Aware Supervised Fine-Tuning Approach for Large Language Models - Quan Wei; Chung-Yiu Yau; Hoi-To Wai; Yang Zhao; Dongyeop Kang; Youngsuk Park; Mingyi Hong (CoRR, 2025)

Learning a High-quality Robotic Wiping Policy Using Systematic Reward Analysis and Visual-Language Model Based Curriculum - Yihong Liu; Dongyeop Kang; Sehoon Ha (CoRR, 2025)

A Framework for Robust Cognitive Evaluation of LLMs - Karin de Langis; Jong Inn Park; Bin Hu; Khanh Chi Le; Andreas Schramm; Michael C. Mensink; Andrew Elfenbein; Dongyeop Kang (CoRR, 2025)

Align to Structure: Aligning Large Language Models with Structural Information - Zae Myung Kim; Anand Ramachandran; Farideh Tavazoee; Joo-Kyung Kim; Oleg Rokhlenko; Dongyeop Kang (CoRR, 2025)

Learning Explainable Dense Reward Shapes via Bayesian Optimization - Ryan Koo; Ian Yang; Vipul Raheja; Mingyi Hong; Kwang-Sung Jun; Dongyeop Kang (CoRR, 2025)

Stealing Creator's Workflow: A Creator-Inspired Agentic Framework with Iterative Feedback Loop for Improved Scientific Short-form Generation - Jong Inn Park; Maanas Taneja; Qianwen Wang; Dongyeop Kang (CoRR, 2025)

LawFlow : Collecting and Simulating Lawyers' Thought Processes - Debarati Das; Khanh Chi Le; Ritik Sachin Parkar; Karin de Langis; Brendan Madson; Chad M. Berryman; Robin M. Willis; Daniel H. Moses; Brett McDonnell; Daniel Schwarcz; Dongyeop Kang (CoRR, 2025)

Toward Evaluative Thinking: Meta Policy Optimization with Evolving Reward Models - Zae Myung Kim; Chanwoo Park; Vipul Raheja; Dongyeop Kang (CoRR, 2025)

Linguistically Informed Language Generation: A Multi-faceted Approach - Dongyeop Kang (Carnegie Mellon University, USA, 2024)

The Semantic Reader Project - Kyle Lo; Joseph Chee Chang; Andrew Head; Jonathan Bragg; Amy X. Zhang; Cassidy Trier; Chloe Anastasiades; Tal August; Russell Authur; Danielle Bragg; Erin Bransom; Isabel Cachola; et al. (Commun. ACM, 2024)

Talk Through It: End User Directed Manipulation Learning - Carl Winge; Adam Imdieke; Bahaa Aldeeb; Dongyeop Kang; Karthik Desingh (IEEE Robotics Autom. Lett., 2024)

BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence - Zhecheng Sheng; Tianhao Zhang; Chen Jiang; Dongyeop Kang (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Meta-Crafting: Improved Detection of Out-of-Distributed Texts via Crafting Metadata Space (Student Abstract) - Ryan Koo; Yekyung Kim; Dongyeop Kang; Jaehyung Kim (Thirty-Eighth AAAI Conference on Artificial Intelligence, AAAI 2024, Thirty-Sixth Conference on Innovative Applications of Artificial Intelligence, IAAI 2024, Fourteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2014, February 20-27, 2024, Vancouver, Canada, 2024)

Benchmarking Cognitive Biases in Large Language Models as Evaluators - Ryan Koo; Minhwa Lee; Vipul Raheja; Jong Inn Park; Zae Myung Kim; Dongyeop Kang (Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024, 2024)

Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback - Daechul Ahn; Yura Choi; Youngjae Yu; Dongyeop Kang; Jonghyun Choi (Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2024, Bangkok, Thailand, August 11-16, 2024, 2024)

Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs - Zae Myung Kim; Kwang Hee Lee; Preston Zhu; Vipul Raheja; Dongyeop Kang (Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2024, Bangkok, Thailand, August 11-16, 2024, 2024)

II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question Answering - Jihyung Kil; Farideh Tavazoee; Dongyeop Kang; Joo-Kyung Kim (Findings of the Association for Computational Linguistics, ACL 2024, Bangkok, Thailand and virtual meeting, August 11-16, 2024, 2024)

\mathcal{H}_{\infty} Filter Design for Discrete-Time LPV Systems - Dongyeop Kang; Chaneun Park (American Control Conference, ACC 2024, Toronto, ON, Canada, July 10-12, 2024, 2024)

Skepticism and Sentiment Analysis to Understand Consumer Perception of Virtual Influencers in Social Media Advertising - Smitha Muthya Sudheendra; Maral Abdollahi; Dongyeop Kang; Jisu Huh; Jaideep Srivastava (IEEE International Conference on Big Data, BigData 2024, Washington, DC, USA, December 15-18, 2024, 2024)

Dark Sides: Envisioning, Understanding, and Preventing Harmful Effects of Writing Assistants - The Third Workshop on Intelligent and Interactive Writing Assistants - Minsuk Chang; John Joon Young Chung; Katy Ilonka Gero; Ting-Hao Kenneth Huang; Dongyeop Kang; Vipul Raheja; Sarah Sterman; Thiemo Wambsganss (Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, CHI EA 2024, Honolulu, HI, USA, May 11-16, 2024, 2024)

SkOTaPA: A Dataset for Skepticism Detection in Online Text after Persuasion Attempt - Smitha Muthya Sudheendra; Maral Abdollahi; Dongyeop Kang; Jisu Huh; Jaideep Srivastava (Proceedings of the 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation, LREC/COLING 2024, 20-25 May, 2024, Torino, Italy, 2024)

How Far Can We Extract Diverse Perspectives from Large Language Models? - Shirley Anugrah Hayati; Minhwa Lee; Dheeraj Rajagopal; Dongyeop Kang (Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, 2024)

Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation - Karin de Langis; Ryan Koo; Dongyeop Kang (Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, EMNLP 2024, Miami, FL, USA, November 12-16, 2024, 2024)

LearnerVoice: A Dataset of Non-Native English Learners' Spontaneous Speech - Haechan Kim; Junho Myung; Seoyoung Kim; Sungpah Lee; Dongyeop Kang; Juho Kim (25th Annual Conference of the International Speech Communication Association, Interspeech 2024, Kos, Greece, September 1-5, 2024, 2024)

Which Modality should I use - Text, Motif, or Image? : Understanding Graphs with Large Language Models - Debarati Das; Ishaan Gupta; Jaideep Srivastava; Dongyeop Kang (Findings of the Association for Computational Linguistics: NAACL 2024, Mexico City, Mexico, June 16-21, 2024, 2024)

Under the Surface: Tracking the Artifactuality of LLM-Generated Data - Debarati Das; Karin de Langis; Anna Martin-Boyle; Jaehyung Kim; Minhwa Lee; Zae Myung Kim; Shirley Anugrah Hayati; Risako Owan; Bin Hu; Ritik Parkar; Ryan Koo; Jong Inn Park; et al. (CoRR, 2024)

SelectLLM: Can LLMs Select Important Instructions to Annotate? - Ritik Sachin Parkar; Jaehyung Kim; Jong Inn Park; Dongyeop Kang (CoRR, 2024)

Tuning Large Multimodal Models for Videos using Reinforcement Learning from AI Feedback - Daechul Ahn; Yura Choi; Youngjae Yu; Dongyeop Kang; Jonghyun Choi (CoRR, 2024)

Threads of Subtlety: Detecting Machine-Generated Texts Through Discourse Motifs - Zae Myung Kim; Kwang Hee Lee; Preston Zhu; Vipul Raheja; Dongyeop Kang (CoRR, 2024)

II-MMR: Identifying and Improving Multi-modal Multi-hop Reasoning in Visual Question Answering - Jihyung Kil; Farideh Tavazoee; Dongyeop Kang; Joo-Kyung Kim (CoRR, 2024)

Chain-of-Instructions: Compositional Instruction Tuning on Large Language Models - Shirley Anugrah Hayati; Taehee Jung; Tristan Bodding-Long; Sudipta Kar; Abhinav Sethy; Joo-Kyung Kim; Dongyeop Kang (CoRR, 2024)

Shallow Synthesis of Knowledge in GPT-Generated Texts: A Case Study in Automatic Related Work Composition - Anna Martin-Boyle; Aahan Tyagi; Marti A. Hearst; Dongyeop Kang (CoRR, 2024)

Talk Through It: End User Directed Manipulation Learning - Carl Winge; Adam Imdieke; Bahaa Aldeeb; Dongyeop Kang; Karthik Desingh (CoRR, 2024)

Reinforcement Learning with Dynamic Multi-Reward Weighting for Multi-Style Controllable Generation - Karin de Langis; Ryan Koo; Dongyeop Kang (CoRR, 2024)

Confidence Calibration and Rationalization for LLMs via Multi-Agent Deliberation - Ruixin Yang; Dheeraj Rajagopal; Shirley Anugrah Hayati; Bin Hu; Dongyeop Kang (CoRR, 2024)

On the Sequence Evaluation based on Stochastic Processes - Tianhao Zhang; Zhexiao Lin; Zhecheng Sheng; Chen Jiang; Dongyeop Kang (CoRR, 2024)

Joint Demonstration and Preference Learning Improves Policy Alignment with Human Feedback - Chenliang Li; Siliang Zeng; Zeyi Liao; Jiaxiang Li; Dongyeop Kang; Alfredo García; Mingyi Hong (CoRR, 2024)

i-SRT: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective Judgment - Daechul Ahn; Yura Choi; San Kim; Youngjae Yu; Dongyeop Kang; Jonghyun Choi (CoRR, 2024)

Human-AI Collaborative Taxonomy Construction: A Case Study in Profession-Specific Writing Assistants - Minhwa Lee; Zae Myung Kim; Vivek A. Khetan; Dongyeop Kang (CoRR, 2024)

LearnerVoice: A Dataset of Non-Native English Learners' Spontaneous Speech - Haechan Kim; Junho Myung; Seoyoung Kim; Sungpah Lee; Dongyeop Kang; Juho Kim (CoRR, 2024)

Anchors Aweigh! Sail for Optimal Unified Multi-Modal Representations - Minoh Jeong; Min Namgung; Zae Myung Kim; Dongyeop Kang; Yao-Yi Chiang; Alfred Hero (CoRR, 2024)

Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information - Ruyuan Wan; Jaehyung Kim; Dongyeop Kang (Thirty-Seventh AAAI Conference on Artificial Intelligence, AAAI 2023, Thirty-Fifth Conference on Innovative Applications of Artificial Intelligence, IAAI 2023, Thirteenth Symposium on Educational Advances in Artificial Intelligence, EAAI 2023, Washington, DC, USA, February 7-14, 2023, 2023)

Balancing the Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer - Debarati Das; David Ma; Dongyeop Kang (Findings of the Association for Computational Linguistics: ACL 2023, Toronto, Canada, July 9-14, 2023, 2023)

infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information - Jaehyung Kim; Yekyung Kim; Karin de Langis; Jinwoo Shin; Dongyeop Kang (Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023, 2023)

Rethinking Annotation: Can Language Learners Contribute? - Haneul Yoo; Rifki Afina Putri; Changyoon Lee; Youngin Lee; So-Yeon Ahn; Dongyeop Kang; Alice Oh (Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2023, Toronto, Canada, July 9-14, 2023, 2023)

The Second Workshop on Intelligent and Interactive Writing Assistants - Minsuk Chang; John Joon Young Chung; Katy Ilonka Gero; Ting-Hao Kenneth Huang; Dongyeop Kang; Mina Lee; Vipul Raheja; Thiemo Wambsganss (Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems, CHI EA 2023, Hamburg, Germany, April 23-28, 2023, 2023)

A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models - Karin de Langis; Dongyeop Kang (Proceedings of the 27th Conference on Computational Natural Language Learning, CoNLL 2023, Singapore, December 6-7, 2023, 2023)

Quirk or Palmer: A Comparative Study of Modal Verb Frameworks with Annotated Datasets - Risako Owan; Maria L. Gini; Dongyeop Kang (Proceedings of the 27th Conference on Computational Natural Language Learning, CoNLL 2023, Singapore, December 6-7, 2023, 2023)

Cluster-Guided Label Generation in Extreme Multi-Label Classification - Taehee Jung; Joo-Kyung Kim; Sungjin Lee; Dongyeop Kang (Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2023, Dubrovnik, Croatia, May 2-6, 2023, 2023)

StyLEx: Explaining Style Using Human Lexical Annotations - Shirley Anugrah Hayati; Kyumin Park; Dheeraj Rajagopal; Lyle H. Ungar; Dongyeop Kang (Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, EACL 2023, Dubrovnik, Croatia, May 2-6, 2023, 2023)

CoEdIT: Text Editing by Task-Specific Instruction Tuning - Vipul Raheja; Dhruv Kumar; Ryan Koo; Dongyeop Kang (Findings of the Association for Computational Linguistics: EMNLP 2023, Singapore, December 6-10, 2023, 2023)

Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents - Hyungjoo Chae; Yongho Song; Kai Tzu-iunn Ong; Taeyoon Kwon; Minjin Kim; Youngjae Yu; Dongha Lee; Dongyeop Kang; Jinyoung Yeo (Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, December 6-10, 2023, 2023)

Development of Interactive Teaching Device for Difficult Teaching of Collaborative Robot - Jeyoun Dong; Dongyeop Kang; Seung Woo Nam (HCI International 2023 Posters - 25th International Conference on Human-Computer Interaction, HCII 2023, Copenhagen, Denmark, July 23-28, 2023, Proceedings, Part III, 2023)

Story Visualization by Online Text Augmentation with Context Memory - Daechul Ahn; Daneul Kim; Gwangmo Song; Seung Hwan Kim; Honglak Lee; Dongyeop Kang; Jonghyun Choi (IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023, 2023)

Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning - Jaehyung Kim; Jinwoo Shin; Dongyeop Kang (International Conference on Machine Learning, ICML 2023, 23-29 July 2023, Honolulu, Hawaii, USA, 2023)

Annotation Imputation to Individualize Predictions: Initial Studies on Distribution Dynamics and Model Predictions - London Lowmanstone; Ruyuan Wan; Risako Owan; Jaehyung Kim; Dongyeop Kang (Proceedings of the 2nd Workshop on Perspectivist Approaches to NLP co-located with 26th European Conference on Artificial Intelligence (ECAI 2023), Kraków, Poland, September 30th, 2023, 2023)

Everyone's Voice Matters: Quantifying Annotation Disagreement Using Demographic Information - Ruyuan Wan; Jaehyung Kim; Dongyeop Kang (CoRR, 2023)

Cluster-Guided Label Generation in Extreme Multi-Label Classification - Taehee Jung; Joo-Kyung Kim; Sungjin Lee; Dongyeop Kang (CoRR, 2023)

The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces - Kyle Lo; Joseph Chee Chang; Andrew Head; Jonathan Bragg; Amy X. Zhang; Cassidy Trier; Chloe Anastasiades; Tal August; Russell Authur; Danielle Bragg; Erin Bransom; Isabel Cachola; et al. (CoRR, 2023)

Decoding the End-to-end Writing Trajectory in Scholarly Manuscripts - Ryan Koo; Anna Martin; Linghe Wang; Dongyeop Kang (CoRR, 2023)

CoEdIT: Text Editing by Task-Specific Instruction Tuning - Vipul Raheja; Dhruv Kumar; Ryan Koo; Dongyeop Kang (CoRR, 2023)

"Is the Pope Catholic?" Applying Chain-of-Thought Reasoning to Understanding Conversational Implicatures - Zae Myung Kim; David E. Taylor; Dongyeop Kang (CoRR, 2023)

Complex Mathematical Symbol Definition Structures: A Dataset and Model for Coordination Resolution in Definition Extraction - Anna Martin-Boyle; Andrew Head; Kyle Lo; Risham Sidhu; Marti A. Hearst; Dongyeop Kang (CoRR, 2023)

Diffusion Models in NLP: A Survey - Hao Zou; Zae Myung Kim; Dongyeop Kang (CoRR, 2023)

Annotation Imputation to Individualize Predictions: Initial Studies on Distribution Dynamics and Model Predictions - London Lowmanstone; Ruyuan Wan; Risako Owan; Jaehyung Kim; Dongyeop Kang (CoRR, 2023)

Balancing Effect of Training Dataset Distribution of Multiple Styles for Multi-Style Text Transfer - Debarati Das; David Ma; Dongyeop Kang (CoRR, 2023)

infoVerse: A Universal Framework for Dataset Characterization with Multidimensional Meta-information - Jaehyung Kim; Yekyung Kim; Karin de Langis; Jinwoo Shin; Dongyeop Kang (CoRR, 2023)

An Analysis of Reader Engagement in Literary Fiction through Eye Tracking and Linguistic Features - Rose Neis; Karin de Langis; Zae Myung Kim; Dongyeop Kang (CoRR, 2023)

Prefer to Classify: Improving Text Classifiers via Auxiliary Preference Learning - Jaehyung Kim; Jinwoo Shin; Dongyeop Kang (CoRR, 2023)

Story Visualization by Online Text Augmentation with Context Memory - Daechul Ahn; Daneul Kim; Gwangmo Song; Seung Hwan Kim; Honglak Lee; Dongyeop Kang; Jonghyun Choi (CoRR, 2023)

Benchmarking Cognitive Biases in Large Language Models as Evaluators - Ryan Koo; Minhwa Lee; Vipul Raheja; Jong Inn Park; Zae Myung Kim; Dongyeop Kang (CoRR, 2023)

Dialogue Chain-of-Thought Distillation for Commonsense-aware Conversational Agents - Hyungjoo Chae; Yongho Song; Kai Tzu-iunn Ong; Taeyoon Kwon; Minjin Kim; Youngjae Yu; Dongha Lee; Dongyeop Kang; Jinyoung Yeo (CoRR, 2023)

How Far Can We Extract Diverse Perspectives from Large Language Models? Criteria-Based Diversity Prompting! - Shirley Anugrah Hayati; Minhwa Lee; Dheeraj Rajagopal; Dongyeop Kang (CoRR, 2023)

Which Modality should I use - Text, Motif, or Image? : Understanding Graphs with Large Language Models - Debarati Das; Ishaan Gupta; Jaideep Srivastava; Dongyeop Kang (CoRR, 2023)

BBScore: A Brownian Bridge Based Metric for Assessing Text Coherence - Zhecheng Sheng; Tianhao Zhang; Chen Jiang; Dongyeop Kang (CoRR, 2023)

Understanding Iterative Revision from Human-Written Text - Wanyu Du; Vipul Raheja; Dhruv Kumar; Zae Myung Kim; Melissa Lopez; Dongyeop Kang (Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), ACL 2022, Dublin, Ireland, May 22-27, 2022, 2022)

Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks - Zae Myung Kim; Wanyu Du; Vipul Raheja; Dhruv Kumar; Dongyeop Kang (Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, 2022)

What Makes Better Augmentation Strategies? Augment Difficult but Not too Different - Jaehyung Kim; Dongyeop Kang; Sungsoo Ahn; Jinwoo Shin (The Tenth International Conference on Learning Representations, ICLR 2022, Virtual Event, April 25-29, 2022, 2022)

Understanding Iterative Revision from Human-Written Text - Wanyu Du; Vipul Raheja; Dhruv Kumar; Zae Myung Kim; Melissa Lopez; Dongyeop Kang (CoRR, 2022)

Read, Revise, Repeat: A System Demonstration for Human-in-the-loop Iterative Text Revision - Wanyu Du; Zae Myung Kim; Vipul Raheja; Dhruv Kumar; Dongyeop Kang (CoRR, 2022)

Rethinking Annotation: Can Language Learners Contribute? - Haneul Yoo; Rifki Afina Putri; Changyoon Lee; Youngin Lee; So-Yeon Ahn; Dongyeop Kang; Alice Oh (CoRR, 2022)

StyLEx: Explaining Styles with Lexicon-Based Human Perception - Shirley Anugrah Hayati; Kyumin Park; Dheeraj Rajagopal; Lyle H. Ungar; Dongyeop Kang (CoRR, 2022)

RedPen: Region- and Reason-Annotated Dataset of Unnatural Speech - Kyumin Park; Keon Lee; Daeyoung Kim; Dongyeop Kang (CoRR, 2022)

User or Labor: An Interaction Framework for Human-Machine Relationships in NLP - Ruyuan Wan; Naome A. Etori; Karla A. Badillo-Urquiola; Dongyeop Kang (CoRR, 2022)

Improving Iterative Text Revision by Learning Where to Edit from Other Revision Tasks - Zae Myung Kim; Wanyu Du; Vipul Raheja; Dhruv Kumar; Dongyeop Kang (CoRR, 2022)

A Comparative Study on Textual Saliency of Styles from Eye Tracking, Annotations, and Language Models - Karin de Langis; Dongyeop Kang (CoRR, 2022)

Quirk or Palmer: A Comparative Study of Modal Verb Frameworks with Annotated Datasets - Risako Owan; Maria L. Gini; Dongyeop Kang (CoRR, 2022)

Affine Memory Control for Synchronization of Delayed Fuzzy Neural Networks - Wookyong Kwon; Yongsik Jin; Dongyeop Kang; Sang-Moon Lee (IEEE Access, 2021)

Style is NOT a single variable: Case Studies for Cross-Stylistic Language Understanding - Dongyeop Kang; Eduard H. Hovy (Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, ACL/IJCNLP 2021, (Volume 1: Long Papers), Virtual Event, August 1-6, 2021, 2021)

Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols - Andrew Head; Kyle Lo; Dongyeop Kang; Raymond Fok; Sam Skjonsberg; Daniel S. Weld; Marti A. Hearst (CHI '21: CHI Conference on Human Factors in Computing Systems, Virtual Event / Yokohama, Japan, May 8-13, 2021, 2021)

Modeling Mathematical Notation Semantics in Academic Papers - Hwiyeol Jo; Dongyeop Kang; Andrew Head; Marti A. Hearst (Findings of the Association for Computational Linguistics: EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 16-20 November, 2021, 2021)

Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica - Shirley Anugrah Hayati; Dongyeop Kang; Lyle H. Ungar (Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, EMNLP 2021, Virtual Event / Punta Cana, Dominican Republic, 7-11 November, 2021, 2021)

A Study on the Usability Evaluation of Teaching Pendant for Manipulator of Collaborative Robot - Jeyoun Dong; Wookyong Kwon; Dongyeop Kang; Seung Woo Nam (HCI International 2021 - Late Breaking Posters - 23rd HCI International Conference, HCII 2021, Virtual Event, July 24-29, 2021, Proceedings, Part I, 2021)

Understanding Out-of-distribution: A Perspective of Data Dynamics - Dyah Adila; Dongyeop Kang (I (Still) Can't Believe It's Not Better! Workshop at NeurIPS 2021, Virtual Workshop, December 13, 2021, 2021)

Zero-shot Natural Language Video Localization - Jinwoo Nam; Daechul Ahn; Dongyeop Kang; Seong Jong Ha; Jonghyun Choi (2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021, 2021)

Does BERT Learn as Humans Perceive? Understanding Linguistic Styles through Lexica - Shirley Anugrah Hayati; Dongyeop Kang; Lyle H. Ungar (CoRR, 2021)

Zero-shot Natural Language Video Localization - Jinwoo Nam; Daechul Ahn; Dongyeop Kang; Seong Jong Ha; Jonghyun Choi (CoRR, 2021)

Understanding Out-of-distribution: A Perspective of Data Dynamics - Dyah Adila; Dongyeop Kang (CoRR, 2021)

Posterior Calibrated Training on Sentence Classification Tasks - Taehee Jung; Dongyeop Kang; Hua Cheng; Lucas Mentch; Thomas Schaaf (Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, ACL 2020, Online, July 5-10, 2020, 2020)

Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions - Dongyeop Kang; Andrew Head; Risham Sidhu; Kyle Lo; Daniel S. Weld; Marti A. Hearst (Proceedings of the First Workshop on Scholarly Document Processing, SDP@EMNLP 2020, Online, November 19, 2020, 2020)

Plan ahead: Self-Supervised Text Planning for Paragraph Completion Task - Dongyeop Kang; Eduard H. Hovy (Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020, 2020)

INSPIRED: Toward Sociable Recommendation Dialog Systems - Shirley Anugrah Hayati; Dongyeop Kang; Qingxiaoyang Zhu; Weiyan Shi; Zhou Yu (Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, EMNLP 2020, Online, November 16-20, 2020, 2020)

User-Specific Interfaces of Teaching Devices for Manipulation of Collaborative Robot - Jeyoun Dong; Seong Hyeon Jo; Wookyong Kwon; Dongyeop Kang; Yunsu Chung (HCI International 2020 - Late Breaking Posters - 22nd International Conference, HCII 2020, Copenhagen, Denmark, July 19-24, 2020, Proceedings, Part I, 2020)

Posterior Calibrated Training on Sentence Classification Tasks - Taehee Jung; Dongyeop Kang; Hua Cheng; Lucas Mentch; Thomas Schaaf (CoRR, 2020)

Augmenting Scientific Papers with Just-in-Time, Position-Sensitive Definitions of Terms and Symbols - Andrew Head; Kyle Lo; Dongyeop Kang; Raymond Fok; Sam Skjonsberg; Daniel S. Weld; Marti A. Hearst (CoRR, 2020)

INSPIRED: Toward Sociable Recommendation Dialog Systems - Shirley Anugrah Hayati; Dongyeop Kang; Qingxiaoyang Zhu; Weiyan Shi; Zhou Yu (CoRR, 2020)

GenAug: Data Augmentation for Finetuning Text Generators - Steven Y. Feng; Varun Gangal; Dongyeop Kang; Teruko Mitamura; Eduard H. Hovy (CoRR, 2020)

Document-Level Definition Detection in Scholarly Documents: Existing Models, Error Analyses, and Future Directions - Dongyeop Kang; Andrew Head; Risham Sidhu; Kyle Lo; Daniel S. Weld; Marti A. Hearst (CoRR, 2020)

Plan ahead: Self-Supervised Text Planning for Paragraph Completion Task - Dongyeop Kang; Eduard H. Hovy (CoRR, 2020)

(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas - Dongyeop Kang; Varun Gangal; Eduard H. Hovy (Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, 2019)

Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue - Dongyeop Kang; Anusha Balakrishnan; Pararth Shah; Paul A. Crook; Y-Lan Boureau; Jason Weston (Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, 2019)

Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization - Taehee Jung; Dongyeop Kang; Lucas Mentch; Eduard H. Hovy (Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, 2019)

Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs - Dongyeop Kang; Eduard H. Hovy (Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, EMNLP-IJCNLP 2019, Hong Kong, China, November 3-7, 2019, 2019)

Earlier Isn't Always Better: Sub-aspect Analysis on Corpus and System Biases in Summarization - Taehee Jung; Dongyeop Kang; Lucas Mentch; Eduard H. Hovy (CoRR, 2019)

Linguistic Versus Latent Relations for Modeling Coherent Flow in Paragraphs - Dongyeop Kang; Hiroaki Hayashi; Alan W. Black; Eduard H. Hovy (CoRR, 2019)

(Male, Bachelor) and (Female, Ph.D) have different connotations: Parallelly Annotated Stylistic Language Dataset with Multiple Personas - Dongyeop Kang; Varun Gangal; Eduard H. Hovy (CoRR, 2019)

Recommendation as a Communication Game: Self-Supervised Bot-Play for Goal-oriented Dialogue - Dongyeop Kang; Anusha Balakrishnan; Pararth Shah; Paul A. Crook; Y-Lan Boureau; Jason Weston (CoRR, 2019)

xSLUE: A Benchmark and Analysis Platform for Cross-Style Language Understanding and Evaluation - Dongyeop Kang; Eduard H. Hovy (CoRR, 2019)

Actionable Email Intent Modeling With Reparametrized RNNs - Chu-Cheng Lin; Dongyeop Kang; Michael Gamon; Patrick Pantel (Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, (AAAI-18), the 30th innovative Applications of Artificial Intelligence (IAAI-18), and the 8th AAAI Symposium on Educational Advances in Artificial Intelligence (EAAI-18), New Orleans, Louisiana, USA, February 2-7, 2018, 2018)

AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples - Dongyeop Kang; Tushar Khot; Ashish Sabharwal; Eduard H. Hovy (Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, ACL 2018, Melbourne, Australia, July 15-20, 2018, Volume 1: Long Papers, 2018)

Bridging Knowledge Gaps in Neural Entailment via Symbolic Models - Dongyeop Kang; Tushar Khot; Ashish Sabharwal; Peter Clark (Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, 2018)

Robust H2 state estimation for discrete-time descriptor systems - Dongyeop Kang; Song Li; Hea-Min Lee (International Conference on Information and Communication Technology Convergence, ICTC 2018, Jeju Island, Korea (South), October 17-19, 2018, 2018)

A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications - Dongyeop Kang; Waleed Ammar; Bhavana Dalvi; Madeleine van Zuylen; Sebastian Kohlmeier; Eduard H. Hovy; Roy Schwartz (Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2018, New Orleans, Louisiana, USA, June 1-6, 2018, Volume 1 (Long Papers), 2018)

Design of robust descriptor observer with application to robotic systems - Dongyeop Kang; Song Li; Hea-Min Lee (12th IFAC Symposium on Robot Control, SyRoCo 2018, Budapest, Hungary, August 27-30, 2018, 2018)

A Dataset of Peer Reviews (PeerRead): Collection, Insights and NLP Applications - Dongyeop Kang; Waleed Ammar; Bhavana Dalvi; Madeleine van Zuylen; Sebastian Kohlmeier; Eduard H. Hovy; Roy Schwartz (CoRR, 2018)

AdvEntuRe: Adversarial Training for Textual Entailment with Knowledge-Guided Examples - Dongyeop Kang; Tushar Khot; Ashish Sabharwal; Eduard H. Hovy (CoRR, 2018)

Bridging Knowledge Gaps in Neural Entailment via Symbolic Models - Dongyeop Kang; Tushar Khot; Ashish Sabharwal; Peter Clark (CoRR, 2018)

State feedback control with disturbance estimation and compensation for discrete-time linear systems - Dongyeop Kang; Song Li (11th Asian Control Conference, ASCC 2017, Gold Coast, Australia, December 17-20, 2017, 2017)

Detecting and Explaining Causes From Text For a Time Series Event - Dongyeop Kang; Varun Gangal; Ang Lu; Zheng Chen; Eduard H. Hovy (Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, EMNLP 2017, Copenhagen, Denmark, September 9-11, 2017, 2017)

Enhancement of the real-time indoor ranging and positioning algorithm using an UWB system - Youngjae Lee; Dongyeop Kang; Kiyoung Moon; Seongyun Cho (17th IEEE International Conference on Ubiquitous Wireless Broadband, ICUWB 2017, Salamanca, Spain, September 12-15, 2017, 2017)

Detecting and Explaining Causes From Text For a Time Series Event - Dongyeop Kang; Varun Gangal; Ang Lu; Zheng Chen; Eduard H. Hovy (CoRR, 2017)

Actionable Email Intent Modeling with Reparametrized RNNs - Chu-Cheng Lin; Dongyeop Kang; Michael Gamon; Madian Khabsa; Ahmed Hassan Awadallah; Patrick Pantel (CoRR, 2017)

Robust H2 filter design for bilinear systems using T-S fuzzy approach - Wookyong Kwon; Dongyeop Kang; Baeyoung Koo; Sangchul Won (10th Asian Control Conference, ASCC 2015, Kota Kinabalu, Malaysia, May 31 - June 3, 2015, 2015)

Decentralized guaranteed cost control for uncertain large-scale singular systems via proportional-plus-derivative state feedback - Wookyong Kwon; Dongyeop Kang; JunMin Park; Sangchul Won (10th Asian Control Conference, ASCC 2015, Kota Kinabalu, Malaysia, May 31 - June 3, 2015, 2015)

News2Images: Automatically Summarizing News Articles into Image-Based Contents via Deep Learning - Jung-Woo Ha; Dongyeop Kang; Hyuna Pyo; Jeonghee Kim (Proceedings of the 3rd International Workshop on News Recommendation and Analytics (INRA 2015) co-located with 9th ACM Conference on Recommender Systems (RecSys 2015), Vienna, Austria, September 20, 2015, 2015)

Data/Feature Distributed Stochastic Coordinate Descent for Logistic Regression - Dongyeop Kang; Woosang Lim; Kijung Shin; Lee Sael; U Kang (Proceedings of the 23rd ACM International Conference on Conference on Information and Knowledge Management, CIKM 2014, Shanghai, China, November 3-7, 2014, 2014)

Eventera: Real-Time Event Recommendation System from Massive Heterogeneous Online Media - Dongyeop Kang; DongGyun Han; Nahea Park; Sangtae Kim; U Kang; Soobin Lee (2014 IEEE International Conference on Data Mining Workshops, ICDM Workshops 2014, Shenzhen, China, December 14, 2014, 2014)

Hetero-Labeled LDA: A Partially Supervised Topic Model with Heterogeneous Labels - Dongyeop Kang; Youngja Park; Suresh Chari (Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2014, Nancy, France, September 15-19, 2014. Proceedings, Part I, 2014)

Guaranteed cost control for bilinear systems by static output feedback - Dongyeop Kang; Sangchul Won; Yu Jin Jang (Appl. Math. Comput., 2013)

Finite-time observer-based synchronization for a class of uncertain chaotic systems using adaptive terminal sliding mode control - Jinwoo Lee; Dongyeop Kang; Sangchul Won (38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012, Montreal, QC, Canada, October 25-28, 2012, 2012)

Multidimensional mining of large-scale search logs: a topic-concept cube approach - Dongyeop Kang; Daxin Jiang; Jian Pei; Zhen Liao; Xiaohui Sun; Ho-Jin Choi (Proceedings of the Forth International Conference on Web Search and Web Data Mining, WSDM 2011, Hong Kong, China, February 9-12, 2011, 2011)