3 papers
cs.LG2025
CoRet: Improved Retriever for Code Editing
Fabio Fehr, Prabhu Teja Sivaprasad, Luca Franceschi +1
In this paper, we introduce CoRet, a dense retrieval model designed for code-editing tasks that integrates code semantics, repository structure, and call graph dependencies. The mo…
cs.SE2025
SWE-PolyBench: A multi-language benchmark for repository level evaluation of coding agents
Muhammad Shihab Rashid, Christian Bock, Yuan Zhuang +10
Coding agents powered by large language models have shown impressive capabilities in software engineering tasks, but evaluating their performance across diverse programming languag…
cs.CL2024
Cost-Effective Hallucination Detection for LLMs
Simon Valentin, Jinmiao Fu, Gianluca Detommaso +3
Large language models (LLMs) can be prone to hallucinations - generating unreliable outputs that are unfaithful to their inputs, external facts or internally inconsistent. In this…