Seonghyeon Ye

Publications

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2025

• GR00T N1: An Open Foundation Model for Generalist Humanoid Robots
  NVIDIA, Johan Bjorck, Fernando Castañeda, Nikita Cherniadev, Xingye Da, Runyu Ding, Linxi "Jim" Fan, Yu Fang, Dieter Fox, Fengyuan Hu, Spencer Huang, Joel Jang, Zhenyu Jiang, Jan Kautz, Kaushil Kundalia, Lawrence Lao, Zhiqi Li, Zongyu Lin, Kevin Lin, Guilin Liu, Edith Llontop, Loic Magne, Ajay Mandlekar, Avnish Narayan, Soroush Nasiriany, Scott Reed, You Liang Tan, Guanzhi Wang, Zu Wang, Jing Wang, Qi Wang, Jiannan Xiang, Yuqi Xie, Yinzhen Xu, Zhenjia Xu, Seonghyeon Ye, Zhiding Yu, Ao Zhang, Hao Zhang, Yizhou Zhao, Ruijie Zheng, Yuke Zhu
  [paper] [code] [website]

• Magma: A Foundation Model for Multimodal AI Agents
  Jianwei Yang, Reuben Tan, Qianhui Wu, Ruijie Zheng, Baolin Peng, Yongyuan Liang, Yu Gu, Mu Cai, Seonghyeon Ye, Joel Jang, Yuquan Deng, Lars Liden, Jianfeng Gao
  CVPR 2025
  [paper] [code] [website]

• Latent Action Pretraining from Videos
  Seonghyeon Ye^*, Joel Jang^*, Byeongguk Jeon, Sejune Joo, Jianwei Yang, Baolin Peng, Ajay Mandlekar, Reuben Tan, Yu-Wei Chao, Bill Yuchen Lin, Lars Liden, Kimin Lee, Jianfeng Gao, Luke Zettlemoyer, Dieter Fox, Minjoon Seo
  ICLR 2025
  LangRob Workshop @ CoRL 2024 Best Paper
  [paper] [code] [website]

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2024

• How Do Large Language Models Acquire Factual Knowledge During Pretraining?
  Hoyeon Chang, Jinho Park, Seonghyeon Ye, Sohee Yang, Youngkyung Seo, Du-Seong Chang, Minjoon Seo
  NeurIPS 2024
  [paper] [code]

• Instruction Matters, a Simple yet Effective Task Selection Approach in Instruction Tuning for Specific Tasks
  Changho Lee, Janghoon Han, Seonghyeon Ye, Stanley Jungkyu Choi, Honglak Lee, Kyunghoon Bae
  EMNLP 2024
  [paper] [code]

• Self-Explore to Avoid the Pit: Improving the Reasoning Capabilities of Language Models with Fine-grained Rewards
  Hyeonbin Hwang, Doyoung Kim, Seungone Kim, Seonghyeon Ye, Minjoon Seo
  EMNLP 2024 Findings
  [paper] [code]

• FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets
  Seonghyeon Ye^*, Doyoung Kim^*, Sungdong Kim, Hyeonbin Hwang, Seungone Kim, Yongrae Jo, James Thorne, Juho Kim, Minjoon Seo
  ICLR 2024 Spotlight
  [paper] [code]

• Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis
  Sohee Yang, Jonghyeon Kim, Joel Jang, Seonghyeon Ye, Hyunji Lee, Minjoon Seo
  TACL 2024
  [paper] [code]

• Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following
  Seonghyeon Ye, Hyeonbin Hwang, Sohee Yang, Hyeongu Yun, Yireun Kim, Minjoon Seo
  AAAI 2024
  [paper] [code]

• Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models
  Yujin Kim, Jaehong Yoon, Seonghyeon Ye, Sung Ju Hwang, Se-young Yun
  NAACL 2024
  [paper]

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2023

• The CoT Collection: Improving Zero-shot and Few-shot Learning of Language Models via Chain-of-Thought Fine-tuning
  Seungone Kim, Se June Joo, Doyoung Kim, Joel Jang, Seonghyeon Ye, Jamin Shin, Minjoon Seo
  EMNLP 2023
  [paper] [code]

• Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt
  Seonghyeon Ye, Joel Jang, Doyoung Kim, Yongrae Jo, Minjoon Seo
  EMNLP 2023 Findings
  [paper] [code]

• Exploring the Benefits of Training Expert Language Models over Instruction Tuning
  Joel Jang, Seungone Kim, Seonghyeon Ye, Doyoung Kim, Lajanugen Logeswaran, Moontae Lee, Kyungjae Lee, Minjoon Seo
  ICML 2023
  [paper] [code]

• Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners
  Seonghyeon Ye, Doyoung Kim, Joel Jang, Joongbo Shin, Minjoon Seo
  ICLR 2023
  [paper] [code]

• SelFee: Iterative Self-Revising LLM Empowered by Self-Feedback Generation
  Seonghyeon Ye^*, Yongrae Jo^*, Doyoung Kim^*, Sungdong Kim, Hyeonbin Hwang, Minjoon Seo
  Blog post
  [blog] [code]

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2022

• Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts
  Joel Jang^*, Seonghyeon Ye^*, Minjoon Seo
  Transfer Learning for NLP Workshop @ NeurIPS 2022
  [paper] [code]

• TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models
  Joel Jang^*, Seonghyeon Ye^*, Chango Lee, Sohee Yang, Joongbo Shin, Janghoon Han, Gyeonghun Kim, Minjoon Seo
  EMNLP 2022
  [paper] [code]

• Towards Continual Knowledge Learning of Language Models
  Joel Jang, Seonghyeon Ye, Sohee Yang, Joongbo Shin, Janghoon Han, Gyeonghun Kim, Stanley Jungkyu Choi, Minjoon Seo
  ICLR 2022
  [paper] [code]

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2021

• Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning
  Seonghyeon Ye, Jiseon Kim, Alice Oh
  EMNLP 2021 (short)
  [paper] [code]

• Dimensional Emotion Detection from Categorical Emotion
  Sungjoon Park, Jiseon Kim, Seonghyeon Ye, Jaeyeol Jeon, Hee Young Park, Alice Oh
  EMNLP 2021
  [paper] [code]