2 papers
cs.CV2026
What Do Verifiable Rewards Teach Video-Language Models About Time? A Controlled Multi-Model Study
Avyay Sadhu, Patrick Cooper
Reinforcement learning from verifiable rewards (RLVR) has produced large reasoning gains in language models, and verifiable video benchmarks make it applicable to causal-temporal v…
cs.AI2026
Neurosymbolic Routing for Reliable Reasoning on Resource-Constrained Edge Devices
Avyay Sadhu, Alvaro Velasquez, Lekai Chen
Running a language model on edge hardware provides private and low-latency reasoning without a network connection, and yet the small models that fit on such devices are unreliable…