CompressionBench: How can your coding agents compress LLMs?
Recursive self-improvement requires AI systems to improve the models and infrastructure used by subsequent systems. LLM compression offers a concrete efficiency objective: retain a pretrained model's behavior within a smaller model storage budget. We study whether coding agents can carry out this step autonomously. We formulate compression as a terminal task in which an agent receives a source…
We haven't written up this one. arXiv cs.AI has the full story — the link below goes straight to it.
