10 citations · 11 across the 3 of their papers we have counts for
3 papers
Dynamic Few-Shot Learning for Knowledge Graph Question Answering
Jacopo D'Abramo, Andrea Zugarini, Paolo Torroni
Large language models present opportunities for innovative Question Answering over Knowledge Graphs (KGQA). However, they are not inherently designed for query generation. To bridg…
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…
Fast Vocabulary Transfer for Language Model Compression
Leonidas Gee, Andrea Zugarini, Leonardo Rigutini +1
Real-world business applications require a trade-off between language model performance and size. We propose a new method for model compression that relies on vocabulary transfer.…