most citedVERINA: Benchmarking Verifiable Code Generation

2 citations · 2 across the 3 of their papers we have counts for

collaborators

5 papers

quant-ph2026

Exponential quantum advantage for learning signals with a single qubit

Ishaan Kannan, Sridhar Prabhu, Saeed A. Khan +7

Quantum technology has the potential to transform scientific discovery, but quantum advantages often require processing capabilities well beyond the reach of experimental platforms…

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.LG20262 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.CR2025

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.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…