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cs.CL2026

ArcANE: Do Role-Playing Language Agents Stay in Character at the Right Time?

Woojung Song, Nalim Kim, Sangjun Song +3

Role-playing language agents (RPLAs) should play characters whose values and behavior evolve as the story progresses, not maintain a fixed persona. Existing benchmarks measure fact…

cs.CL2026

Dual Mechanisms of Value Expression: Intrinsic vs. Prompted Values in Large Language Models

Jongwook Han, Jongwon Lim, Injin Kong +1

Large language models can express values in two main ways: (1) intrinsic expression, reflecting the model's inherent values learned during training, and (2) prompted expression, el…

cs.CL2026

Learning to Retrieve User History and Generate User Profiles for Personalized Persuasiveness Prediction

Sejun Park, Yoonah Park, Jongwon Lim +1

Estimating the persuasiveness of messages is critical in various applications, from recommender systems to safety assessment of LLMs. While it is imperative to consider the target…

cs.CL2024

DAHL: Domain-specific Automated Hallucination Evaluation of Long-Form Text through a Benchmark Dataset in Biomedicine

Jean Seo, Jongwon Lim, Dongjun Jang +1

We introduce DAHL, a benchmark dataset and automated evaluation system designed to assess hallucination in long-form text generation, specifically within the biomedical domain. Our…

cs.CL2024

HyperCLOVA X Technical Report

Kang Min Yoo, Jaegeun Han, Sookyo In +393

We introduce HyperCLOVA X, a family of large language models (LLMs) tailored to the Korean language and culture, along with competitive capabilities in English, math, and coding. H…