FIELD NOTES TOPIC
question answering systems
3 notes, newest first.
A corrective agentic hybrid RAG and an operations-grounded evaluation for a scientific facility
Researchers introduce APS-RAG, a platform that makes it easier for staff at the Advanced Photon Source (APS) to access institutional knowledge through natural language queries. The platform combines multiple channels…
RSF-GLLM: Bridging the Semantic Gap in Multi-Hop Knowledge Graph QA via Recurrent Soft-Flow and Decoupled LLM Generation
The authors propose a framework called RSF-GLLM to improve Multi-hop Question Answering over Knowledge Graphs. The framework decouples differentiable graph reasoning from answer generation, allowing the system to learn…
Bayesian Uncertainty Propagation for Agentic RAG Pipelines: A Proof-of-Concept Study on Multi-Hop Question Answering
This research introduces an uncertainty-aware framework for Agentic Retrieval-Augmented Generation (RAG) systems, which can help identify potential failures in multi-stage reasoning pipelines. The study evaluates this…
