Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models

## Episode Summary In this episode, we cover: - **Mid-Training with Self-Generated Data Improves Reinforcement Learning in Language Models** (Hugging Face Daily) - [Read more](https://huggingface.co/papers/2605.08472) - **TIDE: Efficient and Lossless MoE Diffusion LLM Inference with I/O-aware Expert Offload** (arXiv) - [Read more](http://arxiv.org/abs/2605.20179v1) - **ClinSeekAgent: Automating Multimodal Evidence Seeking for Agentic Clinical Reasoning** (arXiv) - [Read more](http://arxiv.org/abs/2605.20176v1) - **CaMo: Camera Motion Grounded Evaluation and Training for Vision-Language Models** (arXiv) - [Read more](http://arxiv.org/abs/2605.20165v1) - **A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents** (arXiv) - [Read more](http://arxiv.org/abs/2605.20173v1) --- *Sponsored by LimitLess AI*