3 papers
cs.CL2026
GRADRAG: Cross-Component Prompt Adaptation for Coordinated Multi-Agent RAG
Paolo Pedinotti, Enrico Santus
Retrieval-Augmented Generation (RAG) systems increasingly employ multiple LLM agents. Yet, most prior work optimizes components in isolation rather than coordinating improvements a…
cs.CL2026
MetaGraph: A Large-Scale Meta-Analysis of GenAI in Financial NLP (2022-2025)
Paolo Pedinotti, Peter Baumann, Nathan Jessurun +2
Financial NLP has evolved rapidly since late 2022, outpacing narrative surveys. We introduce MetaGraph, a methodology for extracting typed knowledge graphs from scientific corpora…
cs.IR2026
STRUCTSURVEY: Structured Agentic Retrieval for Automated Survey Paper Generation
Paolo Pedinotti, Enrico Santus
The rapid growth of scientific publications makes it increasingly difficult to track and synthesize research progress. While Large Language Models (LLMs) can support automated surv…