3 citations · 3 across the 3 of their papers we have counts for
4 papers
REVERSAL-BENCH: A Reversibility Axis and Reset Oracle for Measuring the Reset-Free RL Cliff
Riyaaz Shaik, Chandru Venkataraman
A central goal of autonomous reinforcement learning is continuous policy training without external resets. However, existing paradigms largely depend on underlying environmental re…
REFACTOR-VLA: Unsupervised Library Learning of Typed Motor Programs
Riyaaz Shaik, Chandru Venkataraman
Most vision-language-action (VLA) models -- OpenVLA, , RT-2, RDT-1B -- are monolithic: they emit raw motor commands or short action chunks without organizing behavior into reu…
Adversarial Distilled Retrieval-Augmented Guarding Model for Online Malicious Intent Detection
Yihao Guo, Haocheng Bian, Liutong Zhou +16
With the deployment of Large Language Models (LLMs) in interactive applications, online malicious intent detection has become increasingly critical. However, existing approaches fa…
Learning Compressed Embeddings for On-Device Inference
Niketan Pansare, Jay Katukuri, Aditya Arora +4
In deep learning, embeddings are widely used to represent categorical entities such as words, apps, and movies. An embedding layer maps each entity to a unique vector, causing the…