Dimensional Emotion Detection from Categorical Emotion. - Sungjoon Park; Jiseon Kim; Seonghyeon Ye; Jaeyeol Jeon; Heeyoung Park; Alice Oh (EMNLP (1), 2021)

Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning. - Seonghyeon Ye; Jiseon Kim; Alice Oh (EMNLP (1), 2021)

TemporalWiki: A Lifelong Benchmark for Training and Evaluating Ever-Evolving Language Models. - Joel Jang; Seonghyeon Ye; Changho Lee; Sohee Yang; Joongbo Shin; Janghoon Han; Gyeonghun Kim; Minjoon Seo (EMNLP, 2022)

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)

Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts. - Joel Jang; Seonghyeon Ye; Minjoon Seo (TL4NLP, 2022)

Retrieval of Soft Prompt Enhances Zero-Shot Task Generalization. - Seonghyeon Ye; Joel Jang; Doyoung Kim 001; Yongrae Jo; Minjoon Seo (CoRR, 2022)

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 001; Joel Jang; Seonghyeon Ye; Jamin Shin; Minjoon Seo (EMNLP, 2023)

Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt. - Seonghyeon Ye; Joel Jang; Doyoung Kim 001; Yongrae Jo; Minjoon Seo (EMNLP (Findings), 2023)

Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners. - Seonghyeon Ye; Doyoung Kim 001; Joel Jang; Joongbo Shin; Minjoon Seo (ICLR, 2023)

Exploring the Benefits of Training Expert Language Models over Instruction Tuning. - Joel Jang; Seungone Kim; Seonghyeon Ye; Doyoung Kim 001; Lajanugen Logeswaran; Moontae Lee; Kyungjae Lee 002; Minjoon Seo (ICML, 2023)

In-Context Instruction Learning. - Seonghyeon Ye; Hyeonbin Hwang; Sohee Yang; Hyeongu Yun; Yireun Kim; Minjoon Seo (CoRR, 2023)

Carpe Diem: On the Evaluation of World Knowledge in Lifelong Language Models. - Yujin Kim; Jaehong Yoon; Seonghyeon Ye; Sung Ju Hwang; Se-young Yun (CoRR, 2023)

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)

Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards. - Hyeonbin Hwang; Doyoung Kim 001; Seungone Kim; Seonghyeon Ye; Minjoon Seo (EMNLP (Findings), 2024)

Instruction Matters: A Simple yet Effective Task Selection for Optimized Instruction Tuning of Specific Tasks. - Changho Lee; Janghoon Han; Seonghyeon Ye; Stanley Jungkyu Choi; Honglak Lee; Kyunghoon Bae (EMNLP, 2024)

FLASK: Fine-grained Language Model Evaluation based on Alignment Skill Sets. - Seonghyeon Ye; Doyoung Kim 001; Sungdong Kim; Hyeonbin Hwang; Seungone Kim; Yongrae Jo; James Thorne; Juho Kim 001; Minjoon Seo (ICLR, 2024)

Carpe diem: On the Evaluation of World Knowledge in Lifelong Language Models. - Yujin Kim; Jaehong Yoon; Seonghyeon Ye; Sangmin Bae; Namgyu Ho; Sung Ju Hwang; Se-Young Yun (NAACL-HLT, 2024)

How Do Large Language Models Acquire Factual Knowledge During Pretraining? - Hoyeon Chang; Jinho Park 005; Seonghyeon Ye; Sohee Yang; Youngkyung Seo; Du-Seong Chang; Minjoon Seo (NeurIPS, 2024)

Consent in Crisis: The Rapid Decline of the AI Data Commons. - Shayne Longpre; Robert Mahari; Ariel Lee; Campbell Lund; Hamidah Oderinwale; William Brannon; Nayan Saxena; Naana Obeng-Marnu; Tobin South; Cole Hunter; Kevin Klyman; Christopher Klamm; et al. (NeurIPS, 2024)

INSTRUCTIR: A Benchmark for Instruction Following of Information Retrieval Models. - Hanseok Oh; Hyunji Lee; Seonghyeon Ye; Haebin Shin; Hansol Jang; Changwook Jun; Minjoon Seo (CoRR, 2024)

Self-Explore to Avoid the Pit: Improving the Reasoning Capabilities of Language Models with Fine-grained Rewards. - Hyeonbin Hwang; Doyoung Kim 001; Seungone Kim; Seonghyeon Ye; Minjoon Seo (CoRR, 2024)

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 (CoRR, 2024)

Consent in Crisis: The Rapid Decline of the AI Data Commons. - Shayne Longpre; Robert Mahari; Ariel Lee; Campbell Lund; Hamidah Oderinwale; William Brannon; Nayan Saxena; Naana Obeng-Marnu; Tobin South; Cole Hunter; Kevin Klyman; Christopher Klamm; et al. (CoRR, 2024)

Bridging the Data Provenance Gap Across Text, Speech and Video. - Shayne Longpre; Nikhil Singh 003; Manuel Cherep; Kushagra Tiwary; Joanna Materzynska; William Brannon; Robert Mahari; Manan Dey; Mohammed Hamdy; Nayan Saxena; Ahmad Mustafa Anis; Emad A. Alghamdi; et al. (CoRR, 2024)

Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis. - Sohee Yang; Jonghyeon Kim; Joel Jang; Seonghyeon Ye; Hyunji Lee; Minjoon Seo (Trans. Assoc. Comput. Linguistics, 2024)

Magma: A Foundation Model for Multimodal AI Agents. - Jianwei Yang; Reuben Tan; Qianhui Wu; Ruijie Zheng; Baolin Peng; Yongyuan Liang; Yu Gu 017; Mu Cai; Seonghyeon Ye; Joel Jang; Yuquan Deng; Jianfeng Gao 001 (CVPR, 2025)

Latent Action Pretraining from Videos. - Seonghyeon Ye; Joel Jang; Byeongguk Jeon; Se June Joo; Jianwei Yang; Baolin Peng; Ajay Mandlekar; Reuben Tan; Yu-Wei Chao; Bill Yuchen Lin; Lars Liden; Kimin Lee; et al. (ICLR, 2025)

The BiGGen Bench: A Principled Benchmark for Fine-grained Evaluation of Language Models with Language Models. - Seungone Kim; Juyoung Suk; Ji Yong Cho; Shayne Longpre; Chaeeun Kim; Dongkeun Yoon; Guijin Son; Yejin Choi 001; Sheikh Shafayat; Jinheon Baek; Sue Hyun Park; Hyeonbin Hwang; et al. (NAACL (Long Papers), 2025)

Magma: A Foundation Model for Multimodal AI Agents. - Jianwei Yang; Reuben Tan; Qianhui Wu; Ruijie Zheng; Baolin Peng; Yongyuan Liang; Yu Gu 017; Mu Cai; Seonghyeon Ye; Joel Jang; Yuquan Deng; Lars Liden; et al. (CoRR, 2025)

GR00T N1: An Open Foundation Model for Generalist Humanoid Robots. - Johan Bjorck; Fernando Castañeda; Nikita Cherniadev; Xingye Da; Runyu Ding; Linxi; Yu Fang; Dieter Fox; Fengyuan Hu; Spencer Huang; Joel Jang; Zhenyu Jiang 002; et al. (CoRR, 2025)

DreamGen: Unlocking Generalization in Robot Learning through Neural Trajectories. - Joel Jang; Seonghyeon Ye; Zongyu Lin; Jiannan Xiang; Johan Bjorck; Yu Fang; Fengyuan Hu; Spencer Huang; Kaushil Kundalia; Yen-Chen Lin; Loic Magne; Ajay Mandlekar; et al. (CoRR, 2025)

FLARE: Robot Learning with Implicit World Modeling. - Ruijie Zheng; Jing Wang; Scott Reed; Johan Bjorck; Yu Fang; Fengyuan Hu; Joel Jang; Kaushil Kundalia; Zongyu Lin; Loic Magne; Avnish Narayan; You Liang Tan; et al. (CoRR, 2025)