activity
20242026
most citedHyperCLOVA X Technical Report

7 citations · 8 across the 6 of their papers we have counts for

collaborators

8 papers

math.PR2026

A fixed-time stable limit theorem for non-normalized functionals on irregular time grids

Yi Guo

Let an Itô semimartingale be observed at times satisfying , where is adapted and càdlàg, and and its reciprocal are bounded on compact in…

cs.LG2026

The Low-Rank Structure of VLA Reinforcement Learning

Minjae Oh, Yoonah Park, Jongwon Lim +1

Reinforcement learning (RL) is increasingly used to post-train vision-language-action (VLA) models, yet how RL reshapes these policies remains poorly understood. We find that RL ac…

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) simulate specific characters and personas across applications such as entertainment, companionship, interactive storytelling, and education. Fa…

cs.LG2026

Your Language Model is Its Own Critic: Reinforcement Learning with Value Estimation from Actor's Internal States

Yunho Choi, Jongwon Lim, Woojin Ahn +3

Reinforcement learning with verifiable rewards (RLVR) for Large Reasoning Models rests on variance reduction, which requires both a reliable baseline and high prompt diversity with…

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.CL2025

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.CL2024★ 1 cited

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★ 7 cited

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…