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11/28/2022
Fine-tuning language models to find agreement among humans with diverse preferences
Recent work in large language modeling (LLMs) has used fine-tuning to al...
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06/01/2022
Assessing Group-level Gender Bias in Professional Evaluations: The Case of Medical Student End-of-Shift Feedback
Although approximately 50 female physicians tend to be underrepresented ...
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04/05/2022
Can language models learn from explanations in context?
Large language models can perform new tasks by adapting to a few in-cont...
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07/28/2021
Growing knowledge culturally across generations to solve novel, complex tasks
Knowledge built culturally across generations allows humans to learn far...
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07/06/2021
Improving Coherence and Consistency in Neural Sequence Models with Dual-System, Neuro-Symbolic Reasoning
Human reasoning can often be understood as an interplay between two syst...
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06/15/2021
Communicating Natural Programs to Humans and Machines
The Abstraction and Reasoning Corpus (ARC) is a set of tasks that tests ...
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05/20/2021
A practical introduction to the Rational Speech Act modeling framework
Recent advances in computational cognitive science (i.e., simulation-bas...
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08/09/2016