activity
20222026
most citedVERINA: Benchmarking Verifiable Code Generation

2 citations · 5 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CR2026

BenchShield: Formal Model-Backed Instrumentation for Reward Integrity in LLM-Agent Evaluation Infrastructure

Shenghan Zheng, Zonglin Di, Yimin Liu +19

LM-agent benchmarks increasingly function as interactive evaluation infrastructure. Agents observe state, call tools, modify workspaces, submit artifacts, and receive rewards from…

cs.LG2026

Vero: Can AI Agents Build Formally Verified Software Repositories?

Zhe Ye, Hantao Lou, Yuechun Sun +8

AI agents are increasingly used for programming, but do not provide any guarantee on the correctness of generated code. Verified code generation, in which an agent produces both an…

cs.LG2026

Intent-aligned Formal Specification Synthesis via Traceable Refinement

Zhe Ye, Aidan Z. H. Yang, Huangyuan Su +6

Large language models are increasingly used to generate code from natural language, but ensuring correctness remains challenging. Formal verification offers a principled way to obt…

cs.LG2025★ 2 cited

VERINA: Benchmarking Verifiable Code Generation

Zhe Ye, Zhengxu Yan, Jingxuan He +3

Large language models (LLMs) are increasingly integrated in software development, but ensuring correctness in LLM-generated code remains challenging and often requires costly manua…

cs.DC2025

DeServe: Towards Affordable Offline LLM Inference via Decentralization

Linyu Wu, Xiaoyuan Liu, Tianneng Shi +2

The rapid growth of generative AI and its integration into everyday workflows have significantly increased the demand for large language model (LLM) inference services. While propr…

cs.CR2023★ 2 cited

Enhancing Smart Contract Security Analysis with Execution Property Graphs

Kaihua Qin, Zhe Ye, Zhun Wang +5

Smart contract vulnerabilities have led to significant financial losses, with their increasing complexity rendering outright prevention of hacks increasingly challenging. This tren…

cs.CR2022★ 1 cited

Specular: Towards Secure, Trust-minimized Optimistic Blockchain Execution

Zhe Ye, Ujval Misra, Jiajun Cheng +2

An optimistic rollup (ORU) scales a blockchain's throughput by delegating computation to an untrusted remote chain (L2), refereeing any state claim disagreements between mutually d…