EPISODE · Mar 11, 2026
Do What I Say: A Spoken Prompt Dataset for Instruction-Following
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## Episode Summary In this episode, we cover: - **Do What I Say: A Spoken Prompt Dataset for Instruction-Following** (Hugging Face Daily) - [Read more](https://huggingface.co/papers/2603.09881) - **Thinking to Recall: How Reasoning Unlocks Parametric Knowledge in LLMs** (Hugging Face Daily) - [Read more](https://huggingface.co/papers/2603.09906) - **Test-Driven AI Agent Definition (TDAD): Compiling Tool-Using Agents from Behavioral Specifications** (Hugging Face Daily) - [Read more](https://huggingface.co/papers/2603.08806) - **Micro-Diffusion Compression -- Binary Tree Tweedie Denoising for Online Probability Estimation** (Hugging Face Daily) - [Read more](https://huggingface.co/papers/2603.08771) - **PathMem: Toward Cognition-Aligned Memory Transformation for Pathology MLLMs** (arXiv) - [Read more](http://arxiv.org/abs/2603.09943v1) --- *Sponsored by LimitLess AI*
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Do What I Say: A Spoken Prompt Dataset for Instruction-Following
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