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YoungMin Kim

8 accepted papers

2026

RaBiT: Residual Aware Binarization Training for Accurate and Efficient LLMs

ICML 2026poster

Efficient deployment of large language models (LLMs) requires extreme quantization, forcing a critical trade-off between low-bit efficiency and performance. Residual binarization promises hardware-friendly, matmul-free inference by stacking binary ($\pm$1) layers, but is plagued by pathological feat…

Cited by 0SourceScholar
2026

UCMNet: Uncertainty-Aware Context Memory Network for Under-Display Camera Image Restoration

CVPR 2026

Under-display cameras (UDCs) allow for full-screen designs by positioning the imaging sensor underneath the display. Nonetheless, light diffraction and scattering through the various display layers result in spatially varying and complex degradations, which significantly reduce high-frequency detail

Cited by 0SourcecodeScholar
2026

ViKey: Enhancing Temporal Understanding in Videos via Visual Prompting

CVPR 2026

Recent advancements in Video Large Language Models (VideoLLMs) have enabled strong performance across diverse multimodal video tasks. To reduce the high computational cost of processing dense video frames, efficiency-oriented methods such as frame selection have been widely adopted. While effective

Cited by 0SourcecodeScholar
2025

MAVL: A Multilingual Audio-Video Lyrics Dataset for Animated Song Translation

EMNLP 2025

Lyrics translation requires both accurate semantic transfer and preservation of musical rhythm, syllabic structure, and poetic style. In animated musicals, the challenge intensifies due to alignment with visual and auditory cues. We introduce Multilingual Audio-Video Lyrics Benchmark for Animated So

2025

Speaking Beyond Language: A Large-Scale Multimodal Dataset for Learning Nonverbal Cues from Video-Grounded Dialogues

ACL 2025long

Nonverbal communication is integral to human interaction, with gestures, facial expressions, and body language conveying critical aspects of intent and emotion. However, existing large language models (LLMs) fail to effectively incorporate these nonverbal elements, limiting their capacity to create…

2024

ClaimVer: Explainable Claim-Level Verification and Evidence Attribution of Text Through Knowledge Graphs

EMNLP 2024finding

In the midst of widespread misinformation and disinformation through social media and the proliferation of AI-generated texts, it has become increasingly difficult for people to validate and trust information they encounter. Many fact-checking approaches and tools have been developed, but they often…

Cited by 5SourcePDFScholar
2022

WikiHan: A New Comparative Dataset for Chinese Languages

COLING 2022main

Most comparative datasets of Chinese varieties are not digital; however, Wiktionary includes a wealth of transcriptions of words from these varieties. The usefulness of these data is limited by the fact that they use a wide range of variety-specific romanizations, making data difficult to compare. T…