SY
Seonghyeon Ye
cs.CLcs.LGcs.AIcs.ROcs.CVcs.CYcs.HCcs.MM
On Valency
published · living versionsW_yk89qg3m·v1 · currentpublished
Learning Quality-Controllable Robot Policies with Iterative Hindsight Relabeling
with Sinjae Kang, Dong Kyu Shin, Jaehong Kim, Kamin Lee +4
1 version
Preprints & journals
26 papers in the corpus · 2021–2026RoboWorld: Fast and Reliable Neural Simulators for Generalist Robot Policy Evaluation2607.01060v4 · Byeongguk Jeon, Seonghyeon Ye, JaeHyeok Doo et al.2026 · 0 citationsarXiv
Q-Flow: Stable and Expressive Reinforcement Learning with Flow-Based Policy2605.13435v2 · JaeHyeok Doo, Byeongguk Jeon, Seonghyeon Ye et al.2026 · 0 citationsarXiv
World Action Models are Zero-shot Policies2602.15922v1 · Seonghyeon Ye, Yunhao Ge, Kaiyuan Zheng et al.2026 · 0 citationsarXiv
DreamDojo: A Generalist Robot World Model from Large-Scale Human Videos2602.06949v1 · Shenyuan Gao, William Liang, Kaiyuan Zheng et al.2026 · 1 citationarXiv
World Simulation with Video Foundation Models for Physical AI2511.00062v2 · NVIDIA: Arslan Ali, Junjie Bai, Maciej Bala et al.2025 · 1 citationarXiv
FLARE: Robot Learning with Implicit World Modeling2505.15659v1 · Ruijie Zheng, Jing Wang, Scott Reed et al.2025 · 0 citationsarXiv
DreamGen: Unlocking Generalization in Robot Learning through Video World Models2505.12705v2 · Joel Jang, Seonghyeon Ye, Zongyu Lin et al.2025 · 1 citationarXiv
GR00T N1: An Open Foundation Model for Generalist Humanoid Robots2503.14734v2 · NVIDIA: Johan Bjorck, Fernando Castaneda, Nikita Cherniadev et al.2025 · 9 citationsarXiv
Magma: A Foundation Model for Multimodal AI Agents2502.13130v1 · Jianwei Yang, Reuben Tan, Qianhui Wu et al.2025 · 33 citationsarXiv
Bridging the Data Provenance Gap Across Text, Speech and Video2412.17847v2 · Shayne Longpre, Nikhil Singh, Manuel Cherep et al.2024 · 4 citationsarXiv
Latent Action Pretraining from Videos2410.11758v2 · Seonghyeon Ye, Joel Jang, Byeongguk Jeon et al.2024 · 1 citationarXiv
Consent in Crisis: The Rapid Decline of the AI Data Commons2407.14933v2 · Shayne Longpre, Robert Mahari, Ariel Lee et al.2024 · 28 citationsarXiv
The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models2406.05761v2 · Seungone Kim, Juyoung Suk, Ji Yong Cho et al.2024 · 7 citationsarXiv
Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks2404.16418v2 · Changho Lee, Janghoon Han, Seonghyeon Ye et al.2024 · 3 citationsarXiv
Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards2404.10346v4 · Hyeonbin Hwang, Doyoung Kim, Seungone Kim et al.2024 · 6 citationsarXiv
INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval Models2402.14334v1 · Hanseok Oh, Hyunji Lee, Seonghyeon Ye et al.2024 · 1 citationarXiv
Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models2311.08106v2 · Yujin Kim, Jaehong Yoon, Seonghyeon Ye et al.2023 · 2 citationsarXiv
FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets2307.10928v4 · Seonghyeon Ye, Doyoung Kim, Sungdong Kim et al.2023 · 10 citationsarXiv
The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-Tuning2305.14045v2 · Seungone Kim, Se June Joo, Doyoung Kim et al.2023 · 53 citationsarXiv
Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following2302.14691v2 · Seonghyeon Ye, Hyeonbin Hwang, Sohee Yang et al.2023 · 25 citationsarXiv
Exploring the Benefits of Training Expert Language Models over Instruction Tuning2302.03202v2 · Joel Jang, Seungone Kim, Seonghyeon Ye et al.2023 · 23 citationsarXiv
Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners2210.02969v4 · Seonghyeon Ye, Doyoung Kim, Joel Jang et al.2022 · 10 citationsarXiv
Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt2210.03029v4 · Seonghyeon Ye, Joel Jang, Doyoung Kim et al.2022 · 4 citationsarXiv
Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts2209.12711v1 · Joel Jang, Seonghyeon Ye, Minjoon Seo2022 · 33 citationsarXiv
TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models2204.14211v3 · Joel Jang, Seonghyeon Ye, Changho Lee et al.2022 · 45 citationsarXiv
Towards Continual Knowledge Learning of Language Models2110.03215v4 · Joel Jang, Seonghyeon Ye, Sohee Yang et al.2021 · 49 citationsarXiv
Career total: 26 works. 26 are in this corpus.
Profile built from the corpus for this byline.
Author records are still filling in while the Hub is in alpha. If this is your page, you'll be able to claim it soon. Spot a mistake? Tell us.