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GameBoyWorlds is introduced, a testbed for agentic self-improvement in video games and it is shown that contemporary approaches to self-improvement are lacking, with world modelling and autonomous skill discovery failing, and a novel strategy that uses curiosity-based exploration to write guides achieving only partial...
The PAU (Python API Understanding) benchmark is introduced, where models are provided with black-box, API-level access to code snippets, and inspiration is taken from the Asymmetric Actor Critic paradigm, frequently used in robot learning, to post-train models for interactive code understanding.
This paper introduces a programming language-agnostic, transferable, adversarial attack that exploits this CLM vulnerability and demonstrates that this attack, even when computed using smaller code embedding models, is highly effective and transferable to larger, closed-source embedding models.
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