🧑‍🔬 Iddo Drori

🏛️ Affiliations

🎓Stanford UniversityStanford · United States2005–2026 · 7 paperscurrent🎓Yeshiva UniversityNew York · United States2026 · 3 paperscurrent🎓Columbia UniversityNew York · United States2018–2023 · 47 papers🎓Massachusetts Institute of TechnologyCambridge · United States2021–2023 · 46 papers🎓Tel Aviv UniversityTel Aviv · Israel2003–2009 · 9 papers🎓Boston UniversityBoston · United States2022–2024 · 4 papers🎓Cornell UniversityIthaca · United States2019–2020 · 3 papers🎓New York UniversityNew York · United States2019–2021 · 2 papers🎓Hebrew University of JerusalemJerusalem · Israel2000–2003 · 2 papers

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. AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic Reviews (2024 · 34 citations)
   Peer review struggles to keep up with fast-growing paper volumes. This work asks whether large language models can produce useful, calibrated reviews at scale and how such reviews should be judged. The authors built three connected tools. OpenReviewer is a GPT-4-based reviewer that reads both the text and the figures…
2. Prose for a Painting (2019 · 3 citations)
   The paper tackles generating Shakespeare-styled text about a painting. Ordinary image captions are short and literal, and no sizeable corpus pairs paintings with Shakespearean prose exists. The authors therefore chain two separately trained systems. First, an existing image-to-poem model produces a modern English…

All works

5 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. AI-Driven Review Systems: Evaluating LLMs in Scalable and Bias-Aware Academic ReviewsarXiv:2408.10365Keith Tyser, Ben Segev, Gaston Longhitano, et al.2024 · 34 citations
2. AlphaD3M: Machine Learning Pipeline Synthesis ↗Open Repository and Bibliography (University of Luxembourg) · no summary yetIddo Drori et al.2021 · 22 citations
3. Automatic Machine Learning by Pipeline Synthesis using Model-Based Reinforcement Learning and a Grammar ↗arXiv (Cornell University) · no summary yetIddo Drori et al.2019 · 18 citations
4. Prose for a PaintingarXiv:1910.03634 · ICCV Workshop on Closing the Loop Between Vision and Language, 2019Prerna Kashyap, Samrat Phatale, Iddo Drori2019 · 3 citations
5. AlphaD3M ↗OSF Preprints (OSF Preprints) · no summary yetFreire, Juliana et al.2018

🤝 Co-authors here

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

• Jason Lee
• Samrat Phatale

Venues

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

• OSF Preprints (OSF Preprints)
• Open Repository and Bibliography (University of Luxembourg)

🔗 Cited by

Papers of our library cite their works 29 times (of the 149,439 papers whose bibliographies we read); 15 citing papers with a page here →.

Updated 3 November 2026

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