3 papers
cs.SE2026
FastContext: Training Efficient Repository Explorer for Coding Agents
Shaoqiu Zhang, Maoquan Wang, Yuling Shi +12
Large Language Model (LLM) coding agents have achieved strong results on software engineering tasks, yet repository exploration remains a major bottleneck: locating relevant code c…
cs.LG2026
DevBench: A Realistic, Developer-Informed Benchmark for Code Generation Models
Adarsh Kumarappan, Pareesa Ameneh Golnari, Wen Wen +5
DevBench is a telemetry-driven benchmark designed to evaluate Large Language Models (LLMs) on realistic code completion tasks. It includes 1,800 evaluation instances across six pro…
cs.LG2026
SemRep: Generative Code Representation Learning with Code Transformations
Weichen Li, Jiamin Song, Bogdan Alexandru Stoica +4
Code transformation is a foundational capability in the software development process, where its effectiveness relies on constructing a high-quality code representation to character…