6 citations · 6 across the 11 of their papers we have counts for
4 papers · 1 filter
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…
Feedback Friction: LLMs Struggle to Fully Incorporate External Feedback
Dongwei Jiang, Alvin Zhang, Andrew Wang +2
Recent studies have shown LLMs possess some ability to improve their responses when given external feedback. However, it remains unclear how effectively and thoroughly these models…
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…
Attacks on Machine-Text Detectors Retain Stylistic Fingerprints
Rafael Rivera Soto, Barry Chen, Nicholas Andrews
Despite considerable progress in the development of machine-text detectors, the ease with which machine-text can be manipulated to evade detection has led to suggestions that the p…