activity
20212026
most citedHyperCLOVA X Technical Report

7 citations · 9 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

KoALa-Bench: Evaluating Large Audio Language Models on Korean Speech Understanding and Faithfulness

Jinyoung Kim, Hyeongsoo Lim, Eunseo Seo +4

Recent advances in large audio language models (LALMs) have enabled multilingual speech understanding. However, benchmarks for evaluating LALMs remain scarce for non-English langua…

eess.AS2025

No Verifiable Reward for Prosody: Toward Preference-Guided Prosody Learning in TTS

Seungyoun Shin, Dongha Ahn, Jiwoo Kim +1

Recent work reports gains in neural text-to-speech (TTS) with Group Relative Policy Optimization (GRPO). However, in the absence of a verifiable reward for \textit{prosody}, GRPO t…

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…

cs.CV2022★ 2 cited

Learning Joint Representation of Human Motion and Language

Jihoon Kim, Youngjae Yu, Seungyoun Shin +2

In this work, we present MoLang (a Motion-Language connecting model) for learning joint representation of human motion and language, leveraging both unpaired and paired datasets of…

cs.RO2021

Semi-Supervised Imitation Learning with Mixed Qualities of Demonstrations for Autonomous Driving

Gunmin Lee, Wooseok Oh, Seungyoun Shin +5

In this paper, we consider the problem of autonomous driving using imitation learning in a semi-supervised manner. In particular, both labeled and unlabeled demonstrations are leve…