12 papers
Beyond One Path: Evaluating and Enhancing Divergent Thinking in Interactive LLM Agents
Jihyeong Park, Ingeol Baek, Jeonghyun Park +1
Divergent thinking is a core dimension of creativity, yet existing evaluations of Large Language Models (LLMs) treat them as single-turn text generations, failing to capture how an…
Framing Matters: Addressing Framing Sensitivity in Decision-Making through Behaviorally-Grounded Value Alignment
Seojin Hwang, Minju Kim, Junhyuk Choi +2
Large Language Models (LLMs) are increasingly deployed in high-stakes decision-making settings such as legal reasoning, where consistency under factually equivalent inputs is criti…
MARCH: Evaluating the Intersection of Ambiguity Interpretation and Multi-hop Inference
Jeonghyun Park, Ingeol Baek, Seunghyun Yoon +5
Real-world multi-hop QA is naturally linked with ambiguity, where a single query can trigger multiple reasoning paths that require independent resolution. Since ambiguity can occur…
Enhancing Multilingual RAG Systems with Debiased Language Preference-Guided Query Fusion
Jeonghyun Park, Byeongjeong Kim, Seojin Hwang +1
Multilingual Retrieval-Augmented Generation (mRAG) systems often exhibit a perceived preference for high-resource languages, particularly English, resulting in the widespread adopt…
Mitigating Cognitive Inertia in Large Reasoning Models via Latent Spike Steering
Seojin Lee, ByeongJeong Kim, Hwanhee Lee
While Large Reasoning Models (LRMs) have achieved remarkable performance by scaling test-time compute, they frequently suffer from Cognitive Inertia, a failure pattern manifesting…
Personality Editing for Language Models through Adjusting Self-Referential Queries
Seojin Hwang, Yumin Kim, Byeongjeong Kim +2
Large Language Models (LLMs) are integral to applications such as conversational agents and content creation, where precise control over a model's personality is essential for main…