28 citations · 37 across the 6 of their papers we have counts for
7 papers
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…
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…
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…
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…
Conditional Motion In-betweening
Jihoon Kim, Taehyun Byun, Seungyoun Shin +2
Motion in-betweening (MIB) is a process of generating intermediate skeletal movement between the given start and target poses while preserving the naturalness of the motion, such a…
Elucidating Robust Learning with Uncertainty-Aware Corruption Pattern Estimation
Jeongeun Park, Seungyoun Shin, Sangheum Hwang +1
Robust learning methods aim to learn a clean target distribution from noisy and corrupted training data where a specific corruption pattern is often assumed a priori. Our proposed…
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…