Matthew Marquez
Matthew Marquez has 2 papers in our library, in 2022–2023, most of them on Language models & pretraining, Evaluation & benchmarks, Reasoning; often with Karthik Valmeekam, Sarath Sreedharan, Subbarao Kambhampati.
OpenAlex · h-index 5 · 7 works · 198 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 264 times in our library · ⭐ Paper Stars ranking: #4765
Affiliations
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 3Research subjects and languages the work is about.Language models & pretraining · 2 worksEvaluation & benchmarks · 1 workReasoning · 1 work
💡 Concepts 1Key ideas and methods explained on our concept pages.Artificial intelligence · 1 work
Works by year
2020s
Papers
- PlanBench: An Extensible Benchmark for Evaluating Large Language Models on Planning and Reasoning about Change (2022 · 222 citations)
Claims that large language models can plan often rest on commonsense tasks, where a correct answer may come from memorized world knowledge rather than actual reasoning. - On the Planning Abilities of Large Language Models : A Critical Investigation (2023 · 191 citations)
This NeurIPS 2023 study asks whether large language models can plan, given claims that web-trained LLMs show emergent reasoning.
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