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20242026
most citedSeed-Coder: Let the Code Model Curate Data for Itself

1 citations · 1 across the 12 of their papers we have counts for

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cs.CR2026

Last Secure Code Benchmark: Is the Code You Vibe Secure?

Tianyi Wu, Chao Ge, Peng Chen +12

AI coding agents now write much of the code that ships, yet whether that code is secure remains unclear. We introduce the Last Secure Code Benchmark, a comprehensive evaluation of…

cs.CL2026

Collective Bias Mitigation via Model Routing and Collaboration

Mingzhe Du, Luu Anh Tuan, Xiaobao Wu +7

Large language models (LLMs) are increasingly deployed in public health, finance, and governance, requiring both accuracy and societal value alignment. Despite recent advances, LLM…

cs.LG2026

Measuring the Checker: Mutation Analysis for GPU-Kernel Benchmark Oracles

Mingzhe Du, Anh Tuan Luu, Dong Huang +1

Benchmarks for LLM-generated GPU kernels decide correctness with a few random inputs and a loose floating-point tolerance, and their verdicts now feed leaderboards and reinforcemen…

cond-mat.dis-nn2026

Disorder-induced conducting edges on Kagomé lattice

A. Chmeruk, D. Jones, L. Chioncel

Within a cluster extension of the coherent potential approximation, disorder averaging generates a non-local self-energy that renormalizes both diagonal and off-diagonal hopping te…

cs.AI2026

Mastermind: Strategy-grounded Learning for Repository-Scale Vulnerability Reproduction

Mingzhe Du, Luu Anh Tuan, Tianyi Wu +4

Repository-level vulnerability reproduction is a demanding software engineering (SE) task: an agent must inspect a codebase, infer the input grammar that reaches a vulnerable path,…

cs.SE2026

TRACE: Evaluating Execution Efficiency of LLM-Based Code Translation

Zhihao Gong, Zeyu Sun, Dong Huang +3

While Large Language Models (LLMs) have substantially improved the functional correctness of code translation, the critical dimension of \textit{execution efficiency} remains overl…

cs.CE2026

MDAgent2: Large Language Model for Code Generation and Knowledge Q&A in Molecular Dynamics

Zhuofan Shi, Hubao A, Yufei Shao +8

Molecular dynamics (MD) simulations are essential for understanding atomic-scale behaviors in materials science, yet writing LAMMPS scripts remains highly specialized and time-cons…