Seonghyeon Ye

According to our database, Seonghyeon Ye authored at least 16 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

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

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

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

CoRR, 2023

Improving Probability-based Prompt Selection Through Unified Evaluation and Analysis.

Sohee Yang, Jonghyeon Kim, Joel Jang, Seonghyeon Ye, Hyunji Lee, Minjoon Seo

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