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09/14/2023
Ambiguity-Aware In-Context Learning with Large Language Models
In-context learning (ICL) i.e. showing LLMs only a few task-specific dem...
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05/24/2023
ToMChallenges: A Principle-Guided Dataset and Diverse Evaluation Tasks for Exploring Theory of Mind
Theory of Mind (ToM), the capacity to comprehend the mental states of di...
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05/03/2023
The Benefits of Label-Description Training for Zero-Shot Text Classification
Large language models have improved zero-shot text classification by all...
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03/22/2023
Evaluating Transformer Models and Human Behaviors on Chinese Character Naming
Neural network models have been proposed to explain the grapheme-phoneme...
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10/17/2022
How do we get there? Evaluating transformer neural networks as cognitive models for English past tense inflection
There is an ongoing debate on whether neural networks can grasp the quas...
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05/17/2022
"What makes a question inquisitive?" A Study on Type-Controlled Inquisitive Question Generation
We propose a type-controlled framework for inquisitive question generati...
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06/06/2020