🧑‍🔬 Vincent Perot

🏛️ Affiliations

🏢Google DeepMindLondon · United Kingdom2022–2025 · 7 paperscurrent🏢GoogleMountain View · United States2019–2024 · 5 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. Chain-of-Table: Evolving Tables in the Reasoning Chain for Table Understanding (2024 · 105 citations)
   Large language models can answer questions about tables and check claims against them. However, common reasoning methods record intermediate steps either as plain text (Chain-of-Thought) or as one generated program such as SQL. Both approaches struggle with messy tables, for example when a single cell combines a name…
2. Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More? (2024 · 53 citations)
   Long-context language models (LCLMs) can now read inputs of up to a million tokens. This raises the question of whether they could replace separate tools such as retrievers, RAG pipelines and SQL engines. Existing long-context tests are either synthetic, like needle-in-a-haystack, or fixed in length, so they cannot…

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. Learning to Prompt for Continual Learning ↗arXiv:2112.08654 · no summary yetZifeng Wang et al.2021 · 855 citations
2. Chain-of-Table: Evolving Tables in the Reasoning Chain for Table UnderstandingarXiv:2401.04398Zilong Wang, Hao Zhang, Chun-Liang Li, et al.2024 · 105 citations
3. Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?arXiv:2406.13121Jinhyuk Lee, Anthony Chen, Zhuyun Dai, et al.2024 · 53 citations
4. Reverse Thinking Makes LLMs Stronger Reasoners ↗Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers) · no summary yetJustin Chen et al.2025 · 18 citations
5. Text Classification with Few Examples using Controlled Generalization ↗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 yetAbhijit Mahabal et al.2019 · 12 citations

🤝 Co-authors here

12 of 20 co-authors with a page, the most papers together first.

• Anthony Chen
• Chen-Yu Lee
• Chun-Liang Li
• Devendra Sachan
• Dheeru Dua
• Hao Zhang
• Hexiang Hu
• Jingbo Shang
• Jinhyuk Lee
• Julian Eisenschlos
• Lesly Miculicich
• Michael Boratko

Venues

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

• 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)
• Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)

🔗 Cited by

Papers of our library cite their works 238 times (of the 149,439 papers whose bibliographies we read); 54 citing papers with a page here →.

Updated 2 November 2026

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