Myeongsoo Kim — accepted AI-conference papers

2026

Design and Control of a Novel Hybrid Typed Outdoor Mobile Robot Platform: MobED

Hun Keon Ko, Daekeun Yoon, Myeongsoo Kim, Jaesung Ahn, Taeyu Kim, Geunsang Yu +1

RA-L 2026

Mobile robot platforms are increasingly utilized in various automation applications due to advancements in platforms and autonomous navigation. Outdoor mobility places tougher requirements on robot platforms than indoor environments, and is thus being actively researched. In this paper, we propose a

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2025

CodeAssistBench (CAB): Dataset & Benchmarking for Multi-turn Chat-Based Code Assistance

Myeongsoo Kim, Shweta Garg, Baishakhi Ray, Varun Kumar, Anoop Deoras

NeurIPS 2025poster

Programming assistants powered by large language models have transformed software development, yet most benchmarks focus narrowly on code generation tasks. Recent efforts like InfiBench and StackEval attempt to address this gap using Stack Overflow data but remain limited to single-turn interactions…

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