ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution

## Episode Summary In this episode, we cover: - **ParEVO: Synthesizing Code for Irregular Data: High-Performance Parallelism through Agentic Evolution** (Hugging Face Daily) - [Read more](https://huggingface.co/papers/2603.02510) - **QEDBENCH: Quantifying the Alignment Gap in Automated Evaluation of University-Level Mathematical Proofs** (Hugging Face Daily) - [Read more](https://huggingface.co/papers/2602.20629) - **COP-GEN: Latent Diffusion Transformer for Copernicus Earth Observation Data -- Generation Stochastic by Design** (arXiv) - [Read more](http://arxiv.org/abs/2603.03239v1) - **Humans and LLMs Diverge on Probabilistic Inferences** (Hugging Face Daily) - [Read more](https://huggingface.co/papers/2602.23546) - **Inherited Goal Drift: Contextual Pressure Can Undermine Agentic Goals** (arXiv) - [Read more](http://arxiv.org/abs/2603.03258v1) --- *Sponsored by LimitLess AI*