7 citations · 7 across the 2 of their papers we have counts for
2 papers
cs.CL2026
Cognitive Fatigue in Autoregressive Transformers: Formalization and Measurement
Riju Marwah, Ritvik Garimella, Vishal Pallagani +3
Autoregressive language models frequently degrade during long-horizon generation, producing repetitive text, losing instruction adherence, and exhibiting unstable entropy. Despite…
cs.CL2023★ 7 cited
Large Language Models for Failure Mode Classification: An Investigation
Michael Stewart, Melinda Hodkiewicz, Sirui Li
In this paper we present the first investigation into the effectiveness of Large Language Models (LLMs) for Failure Mode Classification (FMC). FMC, the task of automatically labell…