作者位次 #4/9ACL 2026Poster· Natural Language Processing
S pec A gent: A Speculative Retrieval and Forecasting Agent for Code Completion
George Ma · Anurag Koul · Qi Chen · Yawen Wu · Sachit Kuhar · Yu Yu · Aritra Sengupta · Varun Kumar · Murali Krishna Ramanathan
摘要
Large Language Models (LLMs) excel at code-related tasks but often struggle in realistic software repositories, where project-specific APIs and cross-file dependencies are crucial. Retrieval-augmented methods mitigate this by injecting repository context at inference time. Low inference time late...