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Michael Katz

Michael Katz has 2 papers in our library, in 2023–2026, most of them on Language models & pretraining, Reasoning; often with Kavitha Srinivas, Joshua B. Tenenbaum, Julian Dolby.

2 papers in our library · 2023–2026

OpenAlex · h-index 0 · 6 works · 0 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 35 times in our library · ⭐ Paper Stars ranking: #8132

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.

 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. Generalized Planning in PDDL Domains with Pretrained Large Language Models (2023 · 112 citations)
    The paper asks whether a pretrained LLM can be a generalized planner rather than a per-task planner. Given a PDDL domain and a few training tasks, the model should produce a program that quickly outputs valid plans for new, usually much larger tasks in that domain. GPT-4 receives the domain and two abbreviated…
  2. Generalization in Graph Reasoning: A Systematic Comparison of LLM Training Approaches (2026)
    The paper asks which training strategy actually helps LLMs reason over graphs in a way that transfers beyond the training setting.

 Co-authors here

5 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 35 times (of the 149,439 papers whose bibliographies we read); 5 citing papers with a page here →.

Updated

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