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Daniele Bonadiman

Daniele Bonadiman has 2 papers in our library, in 2016–2025, most of them on Language models & pretraining, Question answering, Semitic languages; often with Alberto Barrón-Cedeño, Alessandro Moschitti, Antonio Uva.

2 papers in our library · 2016–2025

OpenAlex · ORCID · h-index 9 · 38 works · 185 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 75 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #6583

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. 2 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

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora (2016 · 82 citations)
    The paper presents ConvKN, a joint QCRI and University of Trento entry to SemEval-2016 Task 3 on Community Question Answering.
  2. DeAL: Decoding-time Alignment for Large Language Models (2025 · 36 citations)
    The paper argues that alignment learned during training (e.g., RLHF) has two weaknesses. It locks models into a developer's fixed, supposedly universal preferences, and it can be bypassed, for example through jailbreaks. The authors propose DeAL, which moves alignment to inference time. Decoding is treated as an…

All works

4 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Convolutional Neural Networks vs. Convolution Kernels: Feature Engineering for Answer Sentence Reranking ↗Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies · no summary yetKateryna Tymoshenko, Daniele Bonadiman, Alessandro Moschitti2016 · 72 citations
  2. Large Scale Question Paraphrase Retrieval with Smoothed Deep Metric Learning ↗Proceedings of the 5th Workshop on Noisy User-generated Text (W-NUT 2019) · no summary yetDaniele Bonadiman, Anjishnu Kumar, Arpit Mittal2019 · 18 citations

 Co-authors here

12 of 14 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 75 times (of the 149,439 papers whose bibliographies we read); 11 citing papers with a page here →.

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