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cs.LG2026
Catching rationalization in the act: detecting motivated reasoning before and after CoT via activation probing
Parsa Mirtaheri, Mikhail Belkin
Large language models (LLMs) can produce chains of thought (CoT) that do not accurately reflect the actual factors driving their answers. In multiple-choice settings with an inject…
cs.LG2025
Task Generalization With AutoRegressive Compositional Structure: Can Learning From Tasks Generalize to Tasks?
Amirhesam Abedsoltan, Huaqing Zhang, Kaiyue Wen +3
Large language models (LLMs) exhibit remarkable task generalization, solving tasks they were never explicitly trained on with only a few demonstrations. This raises a fundamental q…