What Can('t) Transformers Do?
Tobias Schnabel · Kiran Tomlinson · Lena Strobl · Michael Hahn
Abstract
With most advances in large foundation models (LFMs) being empirical, our theoretical understanding of what transformers can compute, express, and learn still lags behind. This workshop will convene theorists and empiricists to chart a rigorous agenda for the next generation of LFMs, asking “What can and can’t transformers do?” We welcome both formal analyses and empirically grounded studies that shed light on theoretical questions, aiming to close the gap between proofs and practice while fostering new, interdisciplinary collaborations.
Schedule
Timezone: America/Los_Angeles
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