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Effective visual tool use hinges on causally grounded supervision, not just imitating tool calls, reshaping how we train multimodal agents.
Guardrails in AI systems may claim safety benefits that are largely illusory, with their actual effectiveness hinging on the specifics of input encoding and channel dynamics.
OCSD reveals how isolating observation effects can lead to more effective token-level updates in reinforcement learning, outperforming traditional methods.
Turning past programming failures into reusable knowledge boosts automated repair performance by 3.7% on a multimodal benchmark.
LLMs armed with automatically generated code documentation can now tackle repository-level program repair with surprising effectiveness and cost efficiency.