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Found 3 papers, 1 papers with code
Learning Interpretable Style Embeddings via Prompting LLMs
Style representation learning builds content-independent representations of author style in text.
Faithful Chain-of-Thought Reasoning
While Chain-of-Thought (CoT) prompting boosts Language Models' (LM) performance on a gamut of complex reasoning tasks, the generated reasoning chain does not necessarily reflect how the model arrives at the answer (aka.
Listening to the World Improves Speech Command Recognition
Our key finding is that not only is it possible to transfer representations from an unrelated task like environmental sound classification to a voice-focused task like speech command recognition, but also that doing so improves accuracies significantly.
Environmental Sound Classification
General Classification
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