Paolo Glorioso
Paolo Glorioso has 2 papers in our library, in 2024; often with Jonathan Pilault, Kushal Tirumala, Quentin Anthony.
OpenAlex · ORCID · Wikidata · h-index 17 · 41 works · 1,247 citations OpenAlex, 2026-10-14
📄 2 works in our library · 🔗 Cited 113 times in our library · ⭐ Paper Stars ranking: #7956
Affiliations
🏢ZyphraPalo Alto ·
United States2024–2026 · 5 papers🎓Stanford UniversityStanford ·
United States2021–2025 · 14 papers🎓University of ChicagoChicago ·
United States2017–2021 · 14 papers🎓Massachusetts Institute of TechnologyCambridge ·
United States2015–2018 · 6 papersEducation until 2016🎓University of CambridgeCambridge ·
United Kingdom2022 · 3 papers🎓University of Maryland, College ParkCollege Park ·
United States2023–2024 · 2 papers
Fields, topics and concepts
📚 Shelves 5The field of science this work belongs to (OpenAlex fields).Arts and Humanities · 2 worksComputer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksLanguage and Linguistics · 2 works
Works by year
2020s
Papers
- The Unreasonable Ineffectiveness of the Deeper Layers (2024 · 71 citations)
The paper asks how much of an open-weight LLM's depth is actually needed, and uses layer removal as a probe of where knowledge lives. - Zamba: A Compact 7B SSM Hybrid Model (2024 · 50 citations)
Pure transformers pay a quadratic price for attention and need a KV cache that grows with context. State-space models such as Mamba run in linear time with fixed memory, but they still trail transformers, notably at in-context learning. Zamba, a 7B model from Zyphra, tries to combine the strengths of both. Its…
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