Seonghyeon Ye

According to our database, Seonghyeon Ye authored at least 25 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

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

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, Jianfeng Gao, Luke Zettlemoyer, Dieter Fox, Minjoon Seo

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, Hailey Schoelkopf, Nikhil Singh, Manuel Cherep, Ahmad Anis, An Dinh, Caroline Chitongo, Da Yin, Damien Sileo, Deividas Mataciunas, Diganta Misra, Emad A. Alghamdi, Enrico Shippole, Jianguo Zhang, Joanna Materzynska, Kun Qian, Kush Tiwary, Lester James V. Miranda, Manan Dey, Minnie Liang, Mohammed Hamdy, Niklas Muennighoff, Seonghyeon Ye, Seungone Kim, Shrestha Mohanty, Vipul Gupta, Vivek Sharma, Vu Minh Chien, Xuhui Zhou, Yizhi Li, Caiming Xiong, Luis Villa, Stella Biderman, Hanlin Li, Daphne Ippolito, Sara Hooker, Jad Kabbara, Sandy Pentland

CoRR, 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

CoRR, 2024

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, Sheikh Shafayat, Jinheon Baek, Sue Hyun Park, Hyeonbin Hwang, Jinkyung Jo, Hyowon Cho, Haebin Shin, Seongyun Lee, Hanseok Oh, Noah Lee, Namgyu Ho, Se June Joo, Miyoung Ko, Yoonjoo Lee, Hyungjoo Chae, Jamin Shin, Joel Jang, Seonghyeon Ye, Bill Yuchen Lin, Sean Welleck, Graham Neubig, Moontae Lee, Kyungjae Lee, 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

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

CoRR, 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

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

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

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

Proceedings of the Twelfth International Conference on Learning Representations, 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

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Self-Explore: Enhancing Mathematical Reasoning in Language Models with Fine-grained Rewards.

Hyeonbin Hwang, Doyoung Kim, Seungone Kim, Seonghyeon Ye, Minjoon Seo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Investigating the Effectiveness of Task-Agnostic Prefix Prompt for Instruction Following.

Seonghyeon Ye, Hyeonbin Hwang, Sohee Yang, Hyeongu Yun, Yireun Kim, Minjoon Seo

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

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

In-Context Instruction Learning.

Seonghyeon Ye, Hyeonbin Hwang, Sohee Yang, Hyeongu Yun, Yireun Kim, Minjoon Seo

CoRR, 2023

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

Proceedings of the International Conference on Machine Learning, 2023

Guess the Instruction! Flipped Learning Makes Language Models Stronger Zero-Shot Learners.

Seonghyeon Ye, Doyoung Kim, Joel Jang, Joongbo Shin, Minjoon Seo

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Efficiently Enhancing Zero-Shot Performance of Instruction Following Model via Retrieval of Soft Prompt.

Seonghyeon Ye, Joel Jang, Doyoung Kim, Yongrae Jo, Minjoon Seo

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 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

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Retrieval of Soft Prompt Enhances Zero-Shot Task Generalization.

Seonghyeon Ye, Joel Jang, Doyoung Kim, Yongrae Jo, Minjoon Seo

CoRR, 2022

Can Large Language Models Truly Understand Prompts? A Case Study with Negated Prompts.

Joel Jang, Seonghyeon Ye, Minjoon Seo

Proceedings of the Transfer Learning for Natural Language Processing Workshop, 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

Proceedings of the Tenth International Conference on Learning Representations, 2022

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

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

Efficient Contrastive Learning via Novel Data Augmentation and Curriculum Learning.

Seonghyeon Ye, Jiseon Kim, Alice Oh

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Dimensional Emotion Detection from Categorical Emotion.

Sungjoon Park, Jiseon Kim, Seonghyeon Ye, Jaeyeol Jeon, Heeyoung Park, Alice Oh

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021