24 citations · 30 across the 30 of their papers we have counts for
6 papers · 1 filter
BeaconKV: Key-Value Cache Compression Guided by Beacon Queries for Efficient Large Reasoning Model Inference
Janghyeon Kim, Minsoo Kim, Kyuhong Shim +1
Large Reasoning Models (LRMs) achieve superior problem-solving through extended Chain-of-Thought (CoT) generation, but the resulting key-value (KV) cache grows linearly with sequen…
RealSWE: A Compositional Evaluation of Coding Agents under Realistic User Requests
Gyuhyeong Kim, Hyojung Gwon, Jeonghyeon Kim +2
Coding agents are now commonly evaluated on the SWE-bench family of benchmarks, whose tasks are built from curated GitHub issues: long, structured, and information-rich. Real user…
Dependency-Aware Revocable Decoding for Efficient Diffusion Large Language Model Inference
Wooje Park, Insu Lee, Minyoung Noh +4
Diffusion large language models (dLLMs) offer a promising alternative to autoregressive generation by decoding multiple tokens in parallel through iterative denoising. However, inc…
Advancing Multi-Robot Networks via MLLM-Driven Sensing, Communication, and Computation: A Comprehensive Survey
Hyun Jong Yang, Howon Lee, Kyuhong Shim +10
Imagine advanced humanoid robots, powered by multimodal large language models (MLLMs), coordinating missions across industries like warehouse logistics, manufacturing, and safety r…
Adaptive Capacity Allocation for Vision Language Action Fine-tuning
Donghoon Kim, Minji Bae, Unghui Nam +4
Vision language action models (VLAs) are increasingly used for Physical AI, but deploying a pre-trained VLA model to unseen environments, embodiments, or tasks still requires adapt…
Revealing Multi-View Hallucination in Large Vision-Language Models
Wooje Park, Insu Lee, Soohyun Kim +4
Large vision-language models (LVLMs) are increasingly being applied to multi-view image inputs captured from diverse viewpoints. Despite this growing use, current LVLMs often gener…