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Aviv Slobodkin

Aviv Slobodkin has 2 papers in our library, in 2024–2025, most of them on Text generation; often with Eran Hirsch, Ido Dagan, Arie Cattan.

2 papers in our library · 2024–2025

OpenAlex · h-index 7 · 45 works · 112 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 46 times in our library · 2 more in our library without a page yet · ⭐ Paper Stars ranking: #7649

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

🎓Bar-Ilan UniversityRamat Gan · Israel2022–2026 · 31 paperscurrent🏢GoogleMountain View · United States2026 · 1 papercurrent🎓Hebrew University of JerusalemJerusalem · Israel2021–2022 · 3 papers🏢AmazonSeattle · United States2024 · 2 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 1 more institution on single bylines are not listed.

 Fields, topics and concepts

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

📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksLanguage and Linguistics · 2 worksComputer Vision and Pattern Recognition · 1 work

🧭 Topics 1Research subjects and languages the work is about.Text generation · 1 work

 Works by year

2020s

20251 paper20241 paper

 Papers

The most cited first (OpenAlex and our library).

  1. Attribute First, then Generate: Locally-attributable Grounded Text Generation (2024 · 48 citations)
    Attributed generation tries to curb LLM hallucinations by attaching citations to outputs. However, existing systems usually cite whole documents or paragraphs, so checking a claim still means reading a lot of irrelevant text. The authors define a stricter task, Locally-attributable Grounded Text Generation. In it…
  2. LAQuer: Localized Attribution Queries in Content-grounded Generation (2025 · 8 citations)
    Content-grounded generators, such as RAG systems, often produce claims that their sources do not support, so users have to check them.

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. Attribute First, then Generate: Locally-attributable Grounded Text GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Aviv Slobodkin, Eran Hirsch, Arie Cattan, et al.2024 · 48 citations
  2. The Power of Summary-Source Alignments ↗Findings of the Association for Computational Linguistics: ACL 2024 · no summary yetOri Ernst et al.2024 · 10 citations
  3. LAQuer: Localized Attribution Queries in Content-grounded GenerationAnnual Meeting of the Association for Computational Linguistics (ACL)Eran Hirsch, Aviv Slobodkin, David Wan, et al.2025 · 8 citations
  4. PrefixNLI: Detecting Factual Inconsistencies as Soon as They Arise ↗Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetSapir Harary et al.2026

 Co-authors here

7 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 46 times (of the 149,439 papers whose bibliographies we read); 10 citing papers with a page here →.

Updated

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