works on

From the 1 of 6 linked papers with an AI index.

activity
20242026
most citedVERINA: Benchmarking Verifiable Code Generation

2 citations · 2 across the 4 of their papers we have counts for

collaborators

6 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.PL2026

Generative Compilation: On-the-Fly Compiler Feedback as AI Generates Code

Niels Mündler-Sasahara, Hristo Venev, Dawn Song +2

The paper introduces generative compilation, a method that gives compiler feedback on incomplete code during AI generation by converting partial programs into complete ones that st…

cs.CR2026

Progent: Securing AI Agents with Privilege Control

Tianneng Shi, Jingxuan He, Zhun Wang +4

AI agents interact with external environments through tool calls, exposing them to attacks like indirect prompt injection that can trigger unauthorized actions. Securing these agen…

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.LG2025

Type-Constrained Code Generation with Language Models

Niels Mündler, Jingxuan He, Hao Wang +3

Large language models (LLMs) have achieved notable success in code generation. However, they still frequently produce uncompilable output because their next-token inference procedu…

cs.AI2024

Formal Mathematical Reasoning: A New Frontier in AI

Kaiyu Yang, Gabriel Poesia, Jingxuan He +4

AI for Mathematics (AI4Math) is not only intriguing intellectually but also crucial for AI-driven discovery in science, engineering, and beyond. Extensive efforts on AI4Math have m…