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University of Cambridge > Talks.cam > Isaac Newton Institute Seminar Series > Good locally testable codes
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If you have a question about this talk, please contact nobody. OGGW05 - Geometric and combinatorial methods in the foundations of computer science and artificial intelligence An error-correcting code is locally testable (LTC) if a random tester reads only a small number of bits of a given word and decides whether the word is in the code, or at least close to it. A long-standing problem asks if there exists such a code that also satisfies the golden standards of coding theory: constant rate and constant distance. Unlike the classical situation in coding theory, random codes are not LTC , so this problem is a challenge of a new kind. We construct such codes based on what we call (Ramanujan) Left/Right Cayley square complexes. These objects seem to be of independent group-theoretic interest. The codes built on them are 2-dimensional versions of the expander codes constructed by Sipser and Spielman (1996). Based on joint work with I. Dinur, S. Evra, R. Livne, and S. Mozes. Fedor Pavutnitskiy Title: LLMs for the Working Mathematician Abstract: In this introductory talk I will survey foundational and recent works in the emerging area of using large language models (LLMs) in contemporary mathematical research. I will also discuss key challenges we have faced and share progress from our own ongoing projects. This talk is part of the Isaac Newton Institute Seminar Series series. This talk is included in these lists:
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