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cs.SE2026
Binary Decompilation LLM with Feedback-Driven Multi-Turn Refinement
Peipei Liu, Jian Sun, Mingzhe Xing +5
Binary decompilation is fundamental to security tasks such as vulnerability discovery, malware inspection, and executable-only program understanding. Recent LLM-based decompilation…
cs.NI2026
Human-Less LLM Serving: Quantifying the Human Tax on Throughput
Jianhui Lian, Li Chen, Dan Li +1
Every major LLM serving system is designed to meet TTFT and TPOT SLOs. These metrics capture latency as a human user perceives it, and the mechanisms built to satisfy them are now…
cs.NI2026
Supercharging Packet-level Network Simulation of Large Model Training via Memoization and Fast-Forwarding
Fei Long, Kaihui Gao, Li Chen +6
Packet-level discrete-event simulation (PLDES) is a prevalent tool for evaluating detailed performance of large model training. Although PLDES offers high fidelity and generality,…