Hidden activations in LLMs encode detectable information about statement truthfulness, enabling a classifier to identify true versus false content more reliably than the model's assigned probabilities.
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3 Pith papers cite this work. Polarity classification is still indexing.
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A hackathon study with no-manual-edit rules found that vibe coding engagement varies by skill level and task complexity, with implications for using AI in programming education.
A survey of nearly 1000 NLP & Law papers from 2013-2024 documenting increases in publication volume, scope, methodological sophistication, and data/code availability.
citing papers explorer
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The Internal State of an LLM Knows When It's Lying
Hidden activations in LLMs encode detectable information about statement truthfulness, enabling a classifier to identify true versus false content more reliably than the model's assigned probabilities.
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Code for All: Educational Applications of the "Vibe Coding" Hackathon in Programming Education across All Skill Levels
A hackathon study with no-manual-edit rules found that vibe coding engagement varies by skill level and task complexity, with implications for using AI in programming education.
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Natural Language Processing in the Legal Domain
A survey of nearly 1000 NLP & Law papers from 2013-2024 documenting increases in publication volume, scope, methodological sophistication, and data/code availability.