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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.CL2025
SensorQA: A Question Answering Benchmark for Daily-Life Monitoring
Benjamin Reichman, Xiaofan Yu, Lanxiang Hu +5
With the rapid growth in sensor data, effectively interpreting and interfacing with these data in a human-understandable way has become crucial. While existing research primarily f…