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20242026
most citedExamining Identity Drift in Conversations of LLM Agents

4 citations · 5 across the 18 of their papers we have counts for

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cs.AI2026

Style as a Confound: False Positives in AI Detection of Non-Native Academic Writing

Hyeonchu Park, Gahye Jeong, Bugeun Kim

AI text detectors are increasingly employed in academic settings, but it remains unclear whether their outputs reflect AI authorship itself or broader linguistic features associate…

cs.AI2026

Relational Over-Regularization: Graph-Based AI-Generated Text Detection via Sentence Transition Deviation

Hyeonchu Park, Bugeun Kim

Detecting AI-generated text (AIGT) remains challenging because existing approaches rely on token-level statistical signals or independent stylometric features, causing them to over…

cs.AI2026

Diagnosing the Reliability of LLM-as-a-Judge via Item Response Theory

Junhyuk Choi, Sohhyung Park, Chanhee Cho +2

While LLM-as-a-Judge is widely used in automated evaluation, existing validation practices primarily operate at the level of observed outputs, offering limited insight into whether…

cs.AI2024

Leveraging Large Language Models for Active Merchant Non-player Characters

Byungjun Kim, Minju Kim, Dayeon Seo +1

We highlight two significant issues leading to the passivity of current merchant non-player characters (NPCs): pricing and communication. While immersive interactions with active N…

cs.AI2024

Fine-Grained and Thematic Evaluation of LLMs in Social Deduction Game

Byungjun Kim, Dayeon Seo, Minju Kim +1

Recent studies have investigated whether large language models (LLMs) can support obscured communication, which is characterized by core aspects such as inferring subtext and evadi…