Program Synthesis via Test-Time Transduction, Neurips 2025
Fooling the LVLM Judges: Visual Biases in LVLM-Based Evaluation, EMNLP 2025
Can You Trick the Grader? Adversarial Persuasion of LLM Judges, EMNLP 2025 (Findings)
Are LLM-Judges Robust to Expressions of Uncertainty? Investigating the effect of Epistemic Markers on LLM-based Evaluation, NAACL 2025 (Oral)
Generating Diverse Hypotheses for Inductive Reasoning, NAACL 2025 (Oral)
VLind-Bench: Measuring Language Priors in Large Vision-Language Models, NAACL 2025 (Findings)
Mitigating Hallucinations in Large Vision-Language Models via Summary-Guided Decoding, NAACL 2025 (Findings)
Return of EM: Entity-driven Answer Set Expansion for QA Evaluation, COLING 2025 (Oral)
Asking Clarification Questions to Handle Ambiguity in Open-Domain QA, EMNLP 2023, (Findings)
Research Experience
Involved in various research projects, including program synthesis, visual biases in evaluation, and adversarial persuasion.
Education
Ph.D. student in ECE at Seoul National University, advised by Prof. Kyomin Jung.
Background
Ph.D. student at Seoul National University, with a broad interest in machine learning and natural language processing. Particularly interested in Question Answering and fair evaluation metrics.