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cs.IR2026
Retrieval-Augmented Generation to Support Railways Engineering Tasks: A Case Study
Andrea Gerardo Russo, Federico Ruggeri, Ivan Tomarchio +5
The growing number and complexity of technical regulations represent an important challenge for all professionals in regulated industries. This paper describes a case study, from d…
cs.IR2024
TWOLAR: a TWO-step LLM-Augmented distillation method for passage Reranking
Davide Baldelli, Junfeng Jiang, Akiko Aizawa +1
In this paper, we present TWOLAR: a two-stage pipeline for passage reranking based on the distillation of knowledge from Large Language Models (LLM). TWOLAR introduces a new scorin…