Forecasting Downstream Performance of LLMs With Proxy Metrics

## Episode Summary In this episode, we cover: - **Forecasting Downstream Performance of LLMs With Proxy Metrics** (Hugging Face Daily) - [Read more](https://huggingface.co/papers/2605.18607) - **DeltaBox: Scaling Stateful AI Agents with Millisecond-Level Sandbox Checkpoint/Rollback** (arXiv) - [Read more](http://arxiv.org/abs/2605.22781v1) - **Lean Refactor: Multi-Objective Controllable Proof Optimization via Agentic Strategy Search** (Hugging Face Daily) - [Read more](https://huggingface.co/papers/2605.20244) - **AutoRubric-T2I: Robust Rule-Based Reward Model for Text-to-Image Alignment** (Hugging Face Daily) - [Read more](https://huggingface.co/papers/2605.17602) - **Forecasting Scientific Progress with Artificial Intelligence** (Hugging Face Daily) - [Read more](https://huggingface.co/papers/2605.22681) --- *Sponsored by LimitLess AI*

Episode metadata supplied by the publisher feed · Published May 24, 2026

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