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Run-Ze Li

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#machine learning Review Sep 2026

In-Context Learning for Robots: Methods and Applications

General-purpose robots must infer what a new task requires and translate that understanding into appropriate physical action. In-context learning (ICL) for robots supports this process by using demonstrations and interaction to direct existing competence with neural parameters held fixed during deployment. We organize...

Hao-Jian Huang, Ze-Xi Li, Ju-Hao Guo et al. · 0 citations
Preprint Sep 2026

StepAudio 3 Gen Technical Report

We introduce StepAudio 3 Gen, a general-purpose audio generation model that supports zero-shot text-to-speech (TTS), voice design, vocal generation, sound effects, music, vibe speech, and mixtures of multiple audio types within a unified framework. At its core, StepAudio 3 Gen is a discrete autoregressive generator tha...

Bin Lin, Bo Zhao, Bo-Yang Wang et al. · 0 citations
#artificial intelligence Preprint Aug 2026

UI-Venus-2 Technical Report

UI-Venus-2 is presented, a general-purpose foundation GUI agent designed to operate across mobile, web, and desktop environments through a unified closed-loop reasoning-action framework that integrates safety-aware mechanisms to ensure controlled execution of consequential actions.

Venus Team, Zhuo-Hang Cai, Hao-Xin Chen et al. · 1 citation
Jul 2026

MAGA: Multi-Platform Self-Fusion of GUI Agents via Structured Action Distillation

MAGA is introduced that re-allocates training signal according to the structured action and suppresses unnecessary or invalid distillation signals and focuses learning on erroneous actions.

Hang Yan, Zhangxuan Gu, Bei-Tong Zhou et al. · 2 citations

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