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.
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
Affiliations
🔬IBM Research - Thomas J. Watson Research CenterYorktown Heights ·
United States2026 · 3 papers🏢IBMArmonk ·
United States2026 · 1 paper
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 2 worksArts and Humanities · 2 worksComputer Science · 2 worksLanguage and Linguistics · 2 works
🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 2 worksReasoning · 1 work
Works by year
2020s
Papers
- 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… - 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
Venues
- Proceedings of the AAAI Conference on Artificial Intelligence: Proceedings of the AAAI Conference on Artificial Intelligence 2023
- Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era: Workshop on Structured Understanding, Retrieval, and Generation in the LLM Era 2026
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