Dongsub Shim

19 papers A* 4Journal 11Unranked 4
YearRankTypeTitle / Venue / Authors
2025 J jnl
Clear Preferences Leave Traces: Reference Model-Guided Sampling for Preference Learning.
CoRR
Nirav Diwan, Tolga Ergen, Dongsub Shim, Honglak Lee
2025 — conf
MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows.
NAACL (Findings)
Xingjian Zhang, Yutong Xie, Jin Huang, Jinge Ma, Zhaoying Pan, Qijia Liu, Ziyang Xiong, Tolga Ergen, Dongsub Shim, Honglak Lee, Qiaozhu Mei
2025 — conf
MapExplorer: New Content Generation from Low-Dimensional Visualizations.
KDD (2)
Xingjian Zhang, Ziyang Xiong, Shixuan Liu, Yutong Xie, Tolga Ergen, Dongsub Shim, Hua Xu, Honglak Lee, Qiaozhu Mei
2024 — conf
Code Models are Zero-shot Precondition Reasoners.
NAACL-HLT
Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee
2024 J jnl
MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows.
CoRR
Xingjian Zhang, Yutong Xie, Jin Huang, Jinge Ma, Zhaoying Pan, Qijia Liu, Ziyang Xiong, Tolga Ergen, Dongsub Shim, Honglak Lee, Qiaozhu Mei
2024 J jnl
Map2Text: New Content Generation from Low-Dimensional Visualizations.
CoRR
Xingjian Zhang, Ziyang Xiong, Shixuan Liu, Yutong Xie, Tolga Ergen, Dongsub Shim, Hua Xu, Honglak Lee, Qiaozhu Mei
2024 — conf
Towards More Diverse Evaluation of Class Incremental Learning: Representation Learning Perspective.
CoLLAs
Sungmin Cha, Jihwan Kwak, Dongsub Shim, Hyunwoo Kim, Moontae Lee, Honglak Lee, Taesup Moon
2023 J jnl
Code Models are Zero-shot Precondition Reasoners.
CoRR
Lajanugen Logeswaran, Sungryull Sohn, Yiwei Lyu, Anthony Zhe Liu, Dong-Ki Kim, Dongsub Shim, Moontae Lee, Honglak Lee
2023 J jnl
MultiPrompter: Cooperative Prompt Optimization with Multi-Agent Reinforcement Learning.
CoRR
Dong-Ki Kim, Sungryull Sohn, Lajanugen Logeswaran, Dongsub Shim, Honglak Lee
2023 A* conf
Preserving Linear Separability in Continual Learning by Backward Feature Projection.
CVPR
Qiao Gu, Dongsub Shim, Florian Shkurti
2023 J jnl
Preserving Linear Separability in Continual Learning by Backward Feature Projection.
CoRR
Qiao Gu, Dongsub Shim, Florian Shkurti
2023 A* conf
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues.
EMNLP
Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee
2023 J jnl
TOD-Flow: Modeling the Structure of Task-Oriented Dialogues.
CoRR
Sungryull Sohn, Yiwei Lyu, Anthony Z. Liu, Lajanugen Logeswaran, Dong-Ki Kim, Dongsub Shim, Honglak Lee
2022 J jnl
Is Continual Learning Truly Learning Representations Continually?
CoRR
Sungmin Cha, Dongsub Shim, Hyunwoo Kim, Moontae Lee, Honglak Lee, Taesup Moon
2022 A* conf
Multi-policy Grounding and Ensemble Policy Learning for Transfer Learning with Dynamics Mismatch.
IJCAI
Hyun-Rok Lee, Ram Ananth Sreenivasan, Yeonjeong Jeong, Jongseong Jang, Dongsub Shim, Chi-Guhn Lee
2021 J jnl
EDDA: Explanation-driven Data Augmentation to Improve Model and Explanation Alignment.
CoRR
Ruiwen Li, Zhibo Zhang, Jiani Li, Scott Sanner, Jongseong Jang, Yeonjeong Jeong, Dongsub Shim
2021 J jnl
ExCon: Explanation-driven Supervised Contrastive Learning for Image Classification.
CoRR
Zhibo Zhang, Jongseong Jang, Chiheb Trabelsi, Ruiwen Li, Scott Sanner, Yeonjeong Jeong, Dongsub Shim
2021 A* conf
Online Class-Incremental Continual Learning with Adversarial Shapley Value.
AAAI
Dongsub Shim, Zheda Mai, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang
2020 J jnl
Adversarial Shapley Value Experience Replay for Task-Free Continual Learning.
CoRR
Zheda Mai, Dongsub Shim, Jihwan Jeong, Scott Sanner, Hyunwoo Kim, Jongseong Jang