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VGR introduces selective visual replay for fine-grained multimodal reasoning, reducing token usage while improving accuracy on vision-language benchmarks
Texas A&M researchers present ShockCast, a two-phase ML framework enabling adaptive time-stepping for efficient high-speed fluid flow simulation
Meta AI introduces AU-Net, a scalable byte-level autoregressive model that surpasses token-based transformers in multilingual and long-context language modeling benchmarks
UC Berkeley unveils CyberGym, a real-world benchmark framework to test AI agents on large-scale cybersecurity vulnerabilities across complex codebases