Abstract: The widespread use of the internet has led to frequent cryptographic attack event incidents, which pose various risks, including the leakage of personal information, privacy data, identity ...
Edge devices across multiple applications share common attack vectors. Security functionality must be designed in from the ...
An overview of our research on agentic RL. In this work, we systematically investigate three dimensions of agentic RL: data, algorithms, and reasoning modes. Our findings reveal: Real end-to-end ...
Abstract: Machine learning (ML) has been successfully employed to estimate power consumption for FPGAs using features derived from the results of High Level Synthesis (HLS). However, such models ...
Our code is based on open-r1, with our customized Trainer for mixed SFT+GRPO training. Some other updates focus on the white-box RL (reward function design) and post-completion training (replacement ...
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