Author

Youngeun Kim

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#artificial intelligence May 2026

SkillRet: A Large-Scale Benchmark for Skill Retrieval in LLM Agents

Task-specific fine-tuning on SkillRet improves NDCG@10 by 12.9 points over the strongest prior retriever and by 16.2 points over the strongest off-the-shelf retriever, establishing SkillRet as a strong benchmark and foundation for future research on retrieval in large-scale agent systems.

H. Cho, Ryan Kang, Youngeun Kim · arXiv.org · 40 citations · ⚡7

Preprint Aug 2026

Deferred Audio Pruning with Local Audio-Visual Dynamics for Omni-LLMs

This work proposes A-PACK, a two-stage framework that defers audio pruning until query-conditioned multimodal interactions emerge inside the LLM, and shows that audio exhibits higher task-relevant information density and representational diversity per token than video.

Kyeong-Jae Lee, Hongyeob Kim, Youngeun Kim et al. · 2 citations