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A large-scale benchmark ICRL4AHT is introduced, built upon a high-throughput JAX implementation of Overcooked-V2 AHT, establishing this benchmark as a critical testbed for next-generation coordination algorithms.
SWE-Universe, a scalable and efficient framework for automatically constructing real-world software engineering (SWE) verifiable environments from GitHub pull requests (PRs), utilizes a building agent powered by an efficient custom-trained model to ensure the reliable generation of high-fidelity, verifiable tasks.
A dense, decision-level reward is introduced in which an LLM judge evaluates the necessity of each tool call, which effectively suppresses cue-driven tool use while preserving task performance, providing a practical approach to improving the robustness of LLM agent tool-use policies.
SWE-Bench ProMax is introduced, an expert-curated, multilingual code refactoring benchmark of 170 instances drawn from real commits across seven programming languages, which presents a meaningful and unsaturated challenge for current AI coding agents.
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