Yoo Yeon Sung

According to our database, Yoo Yeon Sung authored at least 12 papers between 2020 and 2026.

Collaborative distances:

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

2026

AI, Take the Wheel: What Drives Delegation and Trust in Human-Computer Cooperative Question Answering?

Maharshi Gor, Yoo Yeon Sung, Yu Hou, Eve Fleisig, Irene Ying, Tianyi Zhou, Jordan L. Boyd-Graber

CoRR, May, 2026

2025

Semantically-Aware Rewards for Open-Ended R1 Training in Free-Form Generation.

Zongxia Li, Yapei Chang, Yuhang Zhou, Xiyang Wu, Zichao Liang, Yoo Yeon Sung, Jordan Lee Boyd-Graber

CoRR, June, 2025

VeriLA: A Human-Centered Evaluation Framework for Interpretable Verification of LLM Agent Failures.

Yoo Yeon Sung, Hannah Kim, Dan Zhang

CoRR, March, 2025

GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration.

Yoo Yeon Sung, Eve Fleisig, Yufang Hou, Ishan Upadhyay, Jordan Lee Boyd-Graber

CoRR, February, 2025

Is your benchmark truly adversarial? AdvScore: Evaluating Human-Grounded Adversarialness.

Yoo Yeon Sung, Maharshi Gor, Eve Fleisig, Ishani Mondal, Jordan Lee Boyd-Graber

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

A Good Plan is Hard to Find: Aligning Models with Preferences is Misaligned with What Helps Users.

Nishant Balepur, Matthew Shu, Yoo Yeon Sung, Seraphina Goldfarb-Tarrant, Shi Feng, Fumeng Yang, Rachel Rudinger, Jordan Lee Boyd-Graber

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing, 2025

GRACE: A Granular Benchmark for Evaluating Model Calibration against Human Calibration.

Yoo Yeon Sung, Eve Fleisig, Yu Hou, Ishan Upadhyay, Jordan Lee Boyd-Graber

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

ADVSCORE: A Metric for the Evaluation and Creation of Adversarial Benchmarks.

Yoo Yeon Sung, Eve Fleisig, Ishani Mondal, Jordan Lee Boyd-Graber

CoRR, 2024

How the Advent of Ubiquitous Large Language Models both Stymie and Turbocharge Dynamic Adversarial Question Generation.

Yoo Yeon Sung, Ishani Mondal, Jordan L. Boyd-Graber

CoRR, 2024

You Make me Feel like a Natural Question: Training QA Systems on Transformed Trivia Questions.

Tasnim Kabir, Yoo Yeon Sung, Saptarashmi Bandyopadhyay, Hao Zou, Abhranil Chandra, Jordan L. Boyd-Graber

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

2023

Not all Fake News is Written: A Dataset and Analysis of Misleading Video Headlines.

Yoo Yeon Sung, Jordan L. Boyd-Graber, Naeemul Hassan

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

2020

Topical keyphrase extraction with hierarchical semantic networks.

Yoo Yeon Sung, Seoung Bum Kim

Decis. Support Syst., 2020