12 papers
Online Monitoring and Corrective Steering of Programming Agents
Shuyang Liu, Saman Dehghan, Ji Young Kim +3
Fixing GitHub issues in large-scale projects is a long-horizon task, especially when a fix requires changes across multiple locations or the issue description lacks the information…
PerfAgent: Profiler-Guided Iterative Refinement for Repository-Level Code Optimization
Ryan Deng, Yuanzhe Liu, Bastian Lipka +4
Large language model (LLM) agents now perform well on correctness-oriented repository-level tasks, including SWE-Bench issue resolution and feature implementation in real codebases…
EvoOtter: Evolutionary Reproduction Test Generator
Toufique Ahmed, Jatin Ganhotra, Avraham Shinnar +1
Before fixing an issue, it is useful to first reproduce it by generating a bug reproduction test (BRT). However, generating a BRT is itself a challenging task, because issue descri…
Every Eval Ever: A Unifying Schema and Community Repository for AI Evaluation Results
Jan Batzner, Sree Harsha Nelaturu, Damian Stachura +45
AI evaluations are widely used for testing and understanding progress. However, the diverse evaluators bring with them inconsistencies that challenge analysis and comparison. First…
Reproduction Test Generation for Java SWE Issues
Toufique Ahmed, Jatin Ganhotra, Avraham Shinnar +1
Given an issue on a software repository, a reproduction test confirms its presence in the code before it gets fixed and its absence after. Reproduction tests provide crucial execut…
From Plan to Action: How Well Do Agents Follow the Plan?
Shuyang Liu, Saman Dehghan, Jatin Ganhotra +2
Agents are commonly instructed to follow a task-specific plan for guidance. However, it is unknown to what extent agents actually follow instructed plans. Without such an analysis,…