V. Lialin

collaborators

2 papers

cs.LG2026

$I ¨ _{0.7}$ : a Steerable Generalist Robotic Foundation Model with Emergent Capabilities

Physical Intelligence, Bo Ai, Ali Amin +85

We present a new robotic foundation model, called $I ¨ _{0.7}$ , that can enable strong out-of-the-box performance in a wide range of scenarios. $I ¨ _{0.7}$ can follow diverse language…

cs.CL2024

Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

Vladislav Lialin, Vijeta Deshpande, Xiaowei Yao +1

This paper presents a systematic overview of parameter-efficient fine-tuning methods, covering over 50 papers published between early 2019 and mid-2024. These methods aim to addres…

I¨0.7​: a Steerable Generalist Robotic Foundation Model with Emergent Capabilities

Scaling Down to Scale Up: A Guide to Parameter-Efficient Fine-Tuning

$I ¨ _{0.7}$ : a Steerable Generalist Robotic Foundation Model with Emergent Capabilities