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Transformers as a Computational Model
Program
Special Year on Large Language Models and Transformers, Part 1
Location
Calvin Lab auditorium
Date
Monday, Sept. 23
–
Friday, Sept. 27, 2024
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Transformers as a Computational Model
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Transformers, parallel computation, and logarithmic depth
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Capabilities and limitations of Transformer in sequential reasoning
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The Parallelism Tradeoff: Understanding Transformer Expressivity Through Circuit Complexity
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Emergence and grokking in "simple" architectures
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Iterated Models: Expressive Power, Learning, and Chain of Thought
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The emergence of clusters in self-attention dynamics
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Computational Benefits and Limitations of Transformers and State-Space Models
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Transformer Expressivity and Formal Logic
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Interpretability Agents
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Language Generation in the Limit
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