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Fabrizio Silvestri

Fabrizio Silvestri has 4 papers in our library, in 2021–2026, most of them on Language models & pretraining, Information retrieval & search, Evaluation & benchmarks; often with Florin Cuconasu, Giovanni Trappolini, Simone Filice.

4 papers in our library · 2021–2026

OpenAlex · ORCID · Wikidata · h-index 41 · 327 works · 5,781 citations OpenAlex, 2026-10-14

📄 4 works in our library · 🔗 Cited 258 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #4399

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 7 more institutions on single bylines are not listed.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

 Papers

The most cited first (OpenAlex and our library).

  1. The Power of Noise: Redefining Retrieval for RAG Systems (2024 · 312 citations)
    Retrieval-Augmented Generation (RAG) supplies an LLM with passages from an IR system so it can answer questions beyond its pre-trained knowledge.
  2. SemEval-2021 Task 6: Detection of Persuasion Techniques in Texts and Images (2021 · 75 citations)
    This shared task addresses the automatic identification of propaganda and persuasion devices in memes. Memes carry their message through both overlaid text and the picture, so studying text alone misses part of the signal. Building on SemEval-2020 task 11, which covered news text only, the organisers created a…
  3. Attention Sinks in Diffusion Language Models (2026 · 5 citations)
    Attention sinks are a small set of tokens that receive a disproportionate share of attention. They are well documented in autoregressive models (ARMs), but no one had examined them in masked Diffusion Language Models (DLMs), which generate text by repeatedly unmasking tokens under bidirectional attention. The authors…
  4. Redefining Retrieval Evaluation in the Era of LLMs (2026 · 1 citation)
    Classic retrieval metrics such as nDCG, MAP and MRR were built for people who read result lists from the top down.

All works

6 works of theirs in our library, the most cited first; 4 with a page here, the others link their original until we summarise them.

  1. Detecting Propaganda Techniques in Memes ↗Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · no summary yetDimitar Dimitrov et al.2021 · 136 citations
  2. Misspelling Oblivious Word Embeddings ↗Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers) · no summary yetAleksandra Piktus et al.2019 · 82 citations
  3. Attention Sinks in Diffusion Language ModelsFindings of the Association for Computational LinguisticsMaximo Eduardo Rulli, Simone Petruzzi, Edoardo Michielon, et al.2026 · 5 citations

 Co-authors here

10 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 258 times (of the 149,439 papers whose bibliographies we read); 56 citing papers with a page here →.

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