3 papers
cs.CL2026
Being Kind Isn't Always Being Safe: Diagnosing Affective Hallucination in LLMs
Sewon Kim, Jiwon Kim, Seungwoo Shin +4
Large Language Models (LLMs) are increasingly engaged in emotionally vulnerable conversations that extend beyond information seeking to moments of personal distress. As they adopt…
cs.CL2025
M3-SLU: Evaluating Speaker-Attributed Reasoning in Multimodal Large Language Models
Yejin Kwon, Taewoo Kang, Hyunsoo Yoon +1
We present M3-SLU, a new multimodal large language model (MLLM) benchmark for evaluating multi-speaker, multi-turn spoken language understanding. While recent models show strong pe…
cs.CV2025
LogicQA: Logical Anomaly Detection with Vision Language Model Generated Questions
Yejin Kwon, Daeun Moon, Youngje Oh +1
Anomaly Detection (AD) focuses on detecting samples that differ from the standard pattern, making it a vital tool in process control. Logical anomalies may appear visually normal y…