🧑‍🔬 Izzeddin Gur

🏛️ Affiliations

🏢GoogleMountain View · United States2017–2024 · 11 papers🎓University of California, Santa BarbaraSanta Barbara · United States2016–2018 · 10 papers🎓The University of TokyoTokyo · Japan2023 · 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.

📅 Works by year

2020s

📄 Papers

The most cited first (OpenAlex and our library).

1. A Real-World WebAgent with Planning, Long Context Understanding, and Program Synthesis (2023 · 120 citations)
   Agents driven by large language models do well on simulated web environments but struggle on real websites.
2. Scaling Exponents Across Parameterizations and Optimizers (2024 · 15 citations)
   Scaling a Transformer from small to large width requires choosing how the initialization, parameter multipliers and learning rates change with width.

All works

8 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. On Generating Characteristic-rich Question Sets for QA Evaluation ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetYu Su et al.2016 · 151 citations
2. A Real-World WebAgent with Planning, Long Context Understanding, and Program SynthesisarXiv:2307.12856Izzeddin Gur, Hiroki Furuta, Austin Huang, et al.2023 · 120 citations
3. DialSQL: Dialogue Based Structured Query Generation ↗Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetIzzeddin Gur et al.2018 · 94 citations
4. Improving Semantic Parsing via Answer Type Inference ↗Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yetSemih Yavuz et al.2016 · 78 citations
5. Understanding HTML with Large Language Models ↗Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yetIzzeddin Gur et al.2023 · 57 citations
6. Accurate Supervised and Semi-Supervised Machine Reading for Long Documents ↗Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yetDaniel Hewlett et al.2017 · 40 citations
7. Scaling Exponents Across Parameterizations and OptimizersarXiv:2407.05872Katie Everett, Lechao Xiao, Mitchell Wortsman, et al.2024 · 15 citations
8. CLUTR: Curriculum Learning via Unsupervised Task Representation Learning ↗arXiv (Cornell University) · no summary yetAzad, Abdus Salam et al.2022 · 4 citations

🤝 Co-authors here

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

• Aleksandra Faust
• Alexander A. Alemi
• Douglas Eck
• Hiroki Furuta
• Jaehoon Lee
• Jascha Sohl-Dickstein
• Jeffrey Pennington
• Leslie Pack Kaelbling
• Mitchell Wortsman
• Mustafa Safdari
• Peter J. Liu
• Yutaka Matsuo

Venues

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

• Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing ×3
• Findings of the Association for Computational Linguistics: EMNLP 2023
• Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

🔗 Cited by

Papers of our library cite their works 390 times (of the 149,439 papers whose bibliographies we read); 127 citing papers with a page here →.

Updated 3 November 2026

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