3 papers
cs.LG2025
Flow Autoencoders are Effective Protein Tokenizers
Rohit Dilip, Evan Zhang, Ayush Varshney +1
Protein structure tokenizers enable the creation of multimodal models of protein structure, sequence, and function. Current approaches to protein structure tokenization rely on bes…
cs.LG2024
vTune: Verifiable Fine-Tuning for LLMs Through Backdooring
Eva Zhang, Arka Pal, Akilesh Potti +1
As fine-tuning large language models (LLMs) becomes increasingly prevalent, users often rely on third-party services with limited visibility into their fine-tuning processes. This…
cs.RO2024
Multi-Task Interactive Robot Fleet Learning with Visual World Models
Huihan Liu, Yu Zhang, Vaarij Betala +4
Recent advancements in large-scale multi-task robot learning offer the potential for deploying robot fleets in household and industrial settings, enabling them to perform diverse t…