activity
20232026
most citedA Stitch in Time Saves Nine: Detecting and Mitigating Hallucinations of LLMs by Validating Low-Confidence Generation

31 citations · 56 across the 35 of their papers we have counts for

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2 papers · 1 filter

cs.SE2026

Scaling Test-Time Compute for Agentic Coding

Joongwon Kim, Wannan Yang, Kelvin Niu +13

Test-time scaling has become a powerful way to improve large language models. However, existing methods are best suited to short, bounded outputs that can be directly compared, ran…

cs.SE2024★ 1 cited

RepoGraph: Enhancing AI Software Engineering with Repository-level Code Graph

Siru Ouyang, Wenhao Yu, Kaixin Ma +6

Large Language Models (LLMs) excel in code generation yet struggle with modern AI software engineering tasks. Unlike traditional function-level or file-level coding tasks, AI softw…