Dong Won Lee
Orcid: 0000-0002-6336-5512Affiliations:
- Massachusetts Institute of Technology, Cambridge, USA
- Carnegie Mellon University, Language Technologies Institute, Pittsburgh, PA, USA (former)
According to our database1,
Dong Won Lee
authored at least 14 papers
between 2020 and 2025.
Collaborative distances:
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Bibliography
2025
Aligning Dialogue Agents with Global Feedback via Large Language Model Reward Decomposition.
CoRR, May, 2025
The Human Robot Social Interaction (HSRI) Dataset: Benchmarking Foundational Models' Social Reasoning.
CoRR, April, 2025
Does "Reasoning" with Large Language Models Improve Recognizing, Generating, and Reframing Unhelpful Thoughts?
CoRR, April, 2025
2024
Improving Dialogue Agents by Decomposing One Global Explicit Annotation with Local Implicit Multimodal Feedback.
CoRR, 2024
Proceedings of the Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction, 2024
Global Reward to Local Rewards: Multimodal-Guided Decomposition for Improving Dialogue Agents.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
2023
MultiPar-T: Multiparty-Transformer for Capturing Contingent Behaviors in Group Conversations.
Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023
HIINT: Historical, Intra- and Inter- personal Dynamics Modeling with Cross-person Memory Transformer.
Proceedings of the 25th International Conference on Multimodal Interaction, 2023
Lecture Presentations Multimodal Dataset: Towards Understanding Multimodality in Educational Videos.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Multimodal Lecture Presentations Dataset: Understanding Multimodality in Educational Slides.
CoRR, 2022
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
2021
Proceedings of the ICMI '21 Companion: Companion Publication of the 2021 International Conference on Multimodal Interaction, Montreal, QC, Canada, October 18, 2021
2020
No Gestures Left Behind: Learning Relationships between Spoken Language and Freeform Gestures.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020
Style Transfer for Co-speech Gesture Animation: A Multi-speaker Conditional-Mixture Approach.
Proceedings of the Computer Vision - ECCV 2020, 2020