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cs.SE2026
Rethinking Code Performance Benchmarks for LLMs
Nhat Minh Le, Yisen Xu, Zhijie Wang +2
Many function-level performance benchmarks have been proposed to evaluate whether large language models (LLMs) can generate efficient programs. However, results on these benchmarks…
cs.SE2026
LogSemFuse: Semantic Evidence Fusion for Explainable Log Anomaly Detection
Hassan Jabri, Zeyang Ma, Zhijie Wang +1
Log anomaly detection is critical for reliability monitoring and failure diagnosis in modern software systems. Existing model-based detectors provide useful anomaly signals, but th…
cs.SE2026
OpenRath: Session-Centered Runtime State for Agent Systems
Fukang Wen, Zhijie Wang, Ruilin Xu
Modern agent systems often suffer from fragmented runtime state: transcripts, tool effects, memory events, workspace placement, branch provenance, and replay evidence are recorded…