3 papers
cs.AI2026
Receiver-Conditioned Latent Communication gives 94% CacheBack
Maximillian Rossi, Prajwal Raghunath, Haoqing Xuan +2
Multi-agent systems distribute large contexts across agents that communicate to solve a task. Text messages are compact but require decoding and may omit evidence the receiving age…
cs.CL2026
Environment Steering: Using Data Flow Control to Improve Agent Utility and Safety
Charlie Summers, Prajwal Raghunath, Aaditya Pai +4
LLM agents can make unsafe tool calls even when instructed to behave safely. Existing defenses constrain agents before execution, modify tool inputs/outputs, or rely on LLM judges;…
cs.LG2026
Latent Cache Flow: Model-to-Model Communication Without Text
Maximillian Rossi, Prajwal Raghunath, Eugene Wu
LLM agents today communicate via text, which incurs considerable latency and information loss due to the need to autoregressively decode the sharer model's state and encode at the…