PonsRAG: A Pons-Inspired RAG Bridging Cognitive Islands for Coordinated Long Narrative Reasoning
Year: 2026
Type: conference-paper
Abstract: Long Narrative Reasoning is an essential capability for processing and reasoning over complex narratives.While retrieval-augmented generation provides a promising framework, existing methods still face two critical challenges: cognitive islanding and cross-layer evidence disconnection.To address these issues, we propose PonsRAG, a coordinated RAG framework inspired by the biological pons.PonsRAG consists of two key components: Triple-Layer Indexing, which organizes documents into a connected knowledge structure to bridge cognitive islands, and Coordinated Reasoning, which retrieves evidence across distinct layers and integrates cross-layer information into a unified context.We evaluate PonsRAG on four longcontext narrative benchmarks, and experimental results show that it outperforms the strongest baseline, achieving a 11.56% relative improvement in average accuracy on multi-choice tasks.
Institutions: Sun Yat-sen University, South China University of Technology
Language: English
Topic: Topic Modeling
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
Awards: G3544427973, G5720687473, G6139988440
OpenAlex ID: W7204438697
