Chengzhong Xu

Physical-layer edge communication can be optimized directly for downstream LLM reasoning utility rather than raw signal-to-noise ratio, using simulated adversarial exams to score distributed sensor memories.

psRL can boost training throughput by over 5x by efficiently sharing prefixes among samples, addressing a critical bottleneck in agentic AI training.