---
title: "Alexander Fabbri — papers of 2024 — Elamur Research"
description: "Alexander Fabbri — papers of 2024: 2 papers on Elamur Research, the most cited first — what each work is about in our own words."
canonical: "https://research.elamur.ai/free/en/authors/alexander-fabbri/year/2024/"
---
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# Alexander Fabbri — papers of 2024 — Elamur Research

2 papers · [all years of Alexander Fabbri](https://md.research.elamur.ai/free/en/authors/alexander-fabbri/#years)

**[On Learning to Summarize with Large Language Models as References](https://md.research.elamur.ai/free/en/papers/liu-2024-learning-summarize-large-language-models/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Yixin Liu, Kejian Shi, Katherine He, et al.*2024 · 94 citations*

**[Summary of a Haystack: A Challenge to Long-Context LLMs and RAG Systems](https://md.research.elamur.ai/free/en/papers/laban-2024-summary-haystack-challenge-long-context/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Philippe Laban, Alexander Fabbri, Caiming Xiong, et al.*2024 · 69 citations*