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Shizhe Chen

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#machine learning Preprint Oct 2026

REKI: Registering Knowledge in VLAs

We introduce REKI, a 2.4B vision-language-action model (VLA) pretrained exclusively on public data that sets a new Pareto frontier between performance and model size: on LIBERO-Plus, RoboTwin Clean2Rand and RoboCasa365, it is outperformed only by models about twice its size. REKI consists of a vision-language model (VL...

Juliette Marrie, Paul Pacaud, Adrien Ramanana Rahary et al. · 0 citations
#artificial intelligence Preprint Jun 2025

Gondola: Grounded Vision Language Planning for Robotic Manipulation

A modular manipulation framework that separates high-level planning from low-level control and coupling grounded plan generation with a 3D-based execution policy, this framework achieves state-of-the-art performance on the challenging GemBench benchmark and demonstrates promising transfer to real robots.

Shi-Zhe Chen, Ricardo Garcia, Paul Pacaud et al. · 2 citations
Open access Jul 2026

Pretraining Body Part Representations for Text-Motion Retrieval

This work proposes POP-TMR which pretrains body part representations for fine-grained text-motion retrieval and introduces HumanML3D+, an enhanced benchmark that provides accurate positive annotations for text queries and includes text descriptions at varying levels of detail, enabling more systematic performance asses...

Kejun Lin, Shizhe Chen, Anwen Hu et al. · 0 citations

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