Author

Jonghyun Choi

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Preprint Oct 2026

Accelerating VLA Inference with Perturbation Informed Execution

Action-chunking vision-language-action (VLA) models predict sequences of future robot actions. Under fixed-horizon execution, the robot executes a fixedlength prefix of each predicted chunk before invoking the policy again, leaving the remaining predictions unused. For a given number of executed actions, short executio...

Jehun Lee, Ha-Jun Lee, Jimin Ryu et al. · 0 citations

#natural language process... Preprint Sep 2026

EvoDuet: Bilevel Co-Evolution of Web Searching and Task Solving for Scientific Discovery

Evolutionary search with large language models (LLMs) can stall when progress requires external knowledge the model lacks. Supplying relevant documents helps, but simply adding web search tool can keep returning the same pages as solutions change. We introduce EvoDuet, a bi-level optimization method that co-evolves sol...

Young-Jun Lee, Jinheon Baek, Soyeong Jeong et al. · 1 citation

#artificial intelligence Feb 2026

SCALE: Self-uncertainty Conditioned Adaptive Looking and Execution for Vision-Language-Action Models

Experiments on simulated and real-world benchmarks demonstrate that SCALE improves state-of-the-art VLAs and outperforms existing TTS methods while maintaining single-pass efficiency.

Hyeonbeom Choi, Daechul Ahn, Youhan Lee et al. · arXiv.org · 3 citations