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cs.CL2025
Hell or High Water: Evaluating Agentic Recovery from External Failures
Andrew Wang, Sophia Hager, Adi Asija +2
As language model agents are applied to real world problems of increasing complexity, they will be expected to formulate plans across large search spaces. If those plans fail for r…
cs.LG2025
Learning Extrapolative Sequence Transformations from Markov Chains
Sophia Hager, Aleem Khan, Andrew Wang +1
Most successful applications of deep learning involve similar training and test conditions. However, tasks such as biological sequence design involve searching for sequences that i…