23 citations · 24 across the 8 of their papers we have counts for
5 papers · 1 filter
Cost-Effective Repository Exploration for Agentic Issue Localization
Mohammad Nour Al Awad, Sergey Ivanov
Repository exploration is a distinct and costly stage of coding-agent pipelines: before generating a patch, an agent must identify which repository files are likely to matter. We s…
Spec2Vision: Contract-Guided Delivery of AI-Generated Computer Vision Pipelines
Ghfran Jabour, Sergey Ivanov
Generated computer-vision code can be runnable without satisfying the task contract enforced by a downstream evaluator. We study that gap with Spec2Vision, an experimental framewor…
Loc2Repair: A Framework for Evaluating the Impact of File-Level Issue Localization in Repo-Level LLM Repair
Mohammad Nour Al Awad, Sergey Ivanov
Repository-grounded automated repair is often reported as a single end-to-end capability, which hides distinct failure modes such as poor file targeting, incorrect patch synthesis,…
Pre-Filtering Code Suggestions using Developer Behavioral Telemetry to Optimize LLM-Assisted Programming
Mohammad Nour Al Awad, Sergey Ivanov, Olga Tikhonova
Large Language Models (LLMs) are increasingly integrated into code editors to provide AI-powered code suggestions. Yet many of these suggestions are ignored, resulting in wasted co…
Optimizing LLM Code Suggestions: Feedback-Driven Timing with Lightweight State Bounds
Mohammad Nour Al Awad, Sergey Ivanov, Olga Tikhonova
Large Language Models (LLMs) have transformed code auto-completion by generating context-aware suggestions. Yet, deciding when to present these suggestions remains underexplored, o…