DARA

Researchers proposed Density-Aware Reward Aggregation (DARA), a method that reweights reward signals in multi-reward reinforcement learning by an inverse-square-root density correction, according to a…

A developer detailed a technique for integrating Model Context Protocol (MCP) resources and prompts into an LLM's tool-calling loop, converting them into synthetic tools to avoid context bloat. The ap…