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Jun-Jie Xu

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#artificial intelligence Review Oct 2026

Solving VeriContest with a Lean-Backed Rust Verifier

VeriContest is a benchmark of 1007 competitive-programming problems in Rust, each with a Verus specification, a judge-accepted solution, and a Verus proof. Its authors report that proof generation is the bottleneck for frontier models: given the specification and the code, the best model produces an accepted Verus proo...

Traian-Florin Serbanuta, Jun-Jie Xu, Andrei Stefanescu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

SoK: When Safe Agents Fail Together: The Security of Multi Agent LLM Systems

This work systematizes MAS security through an execution-centered analysis of 197 works, introducing an A-I-R framework that organizes attacks by adversary position, interaction interface, and resulting system-level risk, unifying otherwise fragmented attack mechanisms across MAS.

Rui Yang, Jun-Jie Xu, Zheng-Yu Liu et al. · 1 citation

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