Brain Score remains similar when language models are trained on diverse natural languages or on structured non-language data like DNA and code, indicating the metric tracks shared structural extraction but is not diagnostic of human-like language processing.
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RExBench is a new benchmark showing that LLM coding agents fail to autonomously implement most realistic research extensions to prior AI papers.
Language models can support formal generative linguistic theories, expanding testable theories and potentially reconciling them with usage-based accounts.
citing papers explorer
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Brain Score Tracks Shared Properties of Languages: Evidence from Many Natural Languages and Structured Sequences
Brain Score remains similar when language models are trained on diverse natural languages or on structured non-language data like DNA and code, indicating the metric tracks shared structural extraction but is not diagnostic of human-like language processing.
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RExBench: Can coding agents autonomously implement AI research extensions?
RExBench is a new benchmark showing that LLM coding agents fail to autonomously implement most realistic research extensions to prior AI papers.
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Not-So-Strange Love: Language Models and Generative Linguistic Theories are More Compatible than They Appear
Language models can support formal generative linguistic theories, expanding testable theories and potentially reconciling them with usage-based accounts.