Coding agents are becoming an increasingly important paradigm for automating software engineering tasks. However, existing coding benchmarks primarily evaluate agents at the function or repository level, leaving their capabilities in more complex distributed software systems largely unexplored. In practice, many modern...
Yan-Ze Zhang, Maggie Yongqi Guan, Shu-Dong Liu et al.· 0 citations
This work proposes ECHO (Evaluation-Conditioned Harmfulness Optimization), which replaces the compliance proxy with response-level, continuous harmfulness scores from HarmSig, a 1.7B regressor grounded in actual harmful capability.
Yuan-Wei Wu, Ling-Dong Huang, Yun-Long Mao et al.· 0 citations
AI labels, typically implemented via underlying tracing mechanisms such as watermarks and metadata, are crucial for protecting Artificial Intelligence-Generated Content (AIGC) against security threats like disinformation and evasion. However, the perceived devaluation of AI-assisted work discourages creators from discl...
Shu-Ning Zhang, Hui Wang, Rongjun Ma et al.· 0 citations
Ethereum execution clients implement identical Ethereum Virtual Machine (EVM) semantics, yet can exhibit substantially different performance in practice. We study this divergence through a three-step systems analysis of two representative clients, Geth and Reth. First, across historical synchronization, live synchroniz...
Chon Kit Lao, Nora Sinong Lu, Jing-Yi Ning et al.· International Conference on...· 0 citations
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