3 papers
cs.CL2026
Look Before You Leap: Factual Decoding with Internal Attribution Signals
Hayeong Ryu, JungMin Yun, Byeonggeuk Lim +2
Hallucination remains a critical challenge in large language models (LLMs), where early factual errors compound through autoregressive generation in a snowballing effect that neith…
cs.CL2026
Don't Count the Edits, Judge by the Outcome Alone: Reward-Based Evaluation for Grammatical Error Correction
Hayeong Ryu, Sunhee Jo, Seunguk Yu +1
Grammatical error correction (GEC) evaluation has traditionally relied on reference or edit overlap, which can penalize valid rewrites that differ from gold corrections. Reference-…
cs.AI2026
Beyond Safe Answers: Segment-Aware Listwise Alignment for Reasoning Safety in Large Reasoning Models
JungMin Yun, Junehyoung Kwon, Hayeong Ryu +3
Large Reasoning Models (LRMs) pose a dual-surface safety challenge: both intermediate reasoning traces and final answers can contain harmful content. Existing alignment methods oft…