AI & ML Research 3 Days

Last updated: July 6, 2026, 11:30 AM ET

AI Research & Development

Researchers are exploring new methods to improve the performance and reliability of AI systems, particularly in areas like Retrieval Augmented Generation (RAG). One approach focuses on constructing RAG prompts by combining a base prompt with specific rules for each query, creating a dispatcher that translates parsed questions into typed Large Language Model (LLM) calls Assemble Each RAG Generation. This method aims to prevent hallucinations by establishing a "typed answer contract," where the schema defines the questions the pipeline asks and ensures verifiable answers Stop Returning Text RAG. In parallel, advancements in neural network architectures are being made, such as the PANet paper which details how bottom-up feature pyramids can shorten the path between low-level and high-