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cs.CL2024
Mitigating the Influence of Distractor Tasks in LMs with Prior-Aware Decoding
Raymond Douglas, Andis Draguns, Tomáš GavenÄiak
The broad capabilities of Language Models (LMs) can be limited by their sensitivity to distractor tasks: LMs can infer secondary tasks from the prompt in addition to the intended o…
cs.CL2024
Evaluating Language Model Character Traits
Francis Rhys Ward, Zejia Yang, Alex Jackson +7
Language models (LMs) can exhibit human-like behaviour, but it is unclear how to describe this behaviour without undue anthropomorphism. We formalise a behaviourist view of LM char…