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cs.SE2026
Functional and Secure Code Generation with Task Vectors
Felix Wang, Anudeep Das, Mei Nagappan +1
Large language models (LLMs) are increasingly used for code generation, but they struggle to generate functional code free of security vulnerabilities. Prior work to improve the se…
cs.LG2026
Constant-Stepsize Stochastic Approximation: Finite-Time Convergence, Gaussian Approximation, and Tail Bounds
Zedong Wang, Yuyang Wang, Ijay Narang +3
Constant-stepsize stochastic approximation (SA) is widely used in learning for computational efficiency, yet the distribution of the iterates is typically intractable. Classical as…