Repository-level issue-resolution benchmarks have made executable evaluation central to software-engineering agents, but their language coverage remains concentrated in mainstream ecosystems. Pony presents a different regime: it combines actors, reference capabilities, ahead-of-time compilation, and a rapidly evolving...
Bang Xie, Hao Liu, Zhen-Yu Shi et al.· 0 citations
As public concern about data privacy continues to grow, federated learning (FL), as a machine learning technique that does not require the disclosure of user raw data, has attracted widespread attention. However, it still has many common problems. The first problem stems from the absence of incentive mechanisms utilize...
Fu-Yuan Xia, Chen-Hao Ying, Xikun Jiang et al.· IEEE transactions on compute...· 0 citations
OdinEval is presented, a reproducible benchmark built from documented defects in public Odin repositories built from documented defects in public Odin repositories, that evaluates six language models on 168 filtered instances under one shared protocol.
Bang Xie, Hao Liu, Zhi-Yuan Peng et al.· 0 citations
Networks with highly dynamic data transmission demands and network topologies are common in real world. A fundamental problem in such networks is achieving scalable traffic allocation to maximize long-term total throughput under link capacity constraints. However, state-of-the-art (SOTA) works lack scalability. This is...
Zhaoxing Yang, Guiyun Fan, An-Jie Cao et al.· IEEE Transactions on Network...· 0 citations
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