Skip to main content
Search

# Failure mode analysis

2 related articles

Subscribe to updates
  1. arXiv

    Physics agents meet whole research projects: 56 real tasks, and the best setup passes only 46 of 168 runs

    FrontierPhysics replaces fixed physics questions and paper reproduction with given solutions by 56 end-to-end tasks that 42 physicists built from their own research, spanning nine areas of theoretical, computational and experimental physics. An agent receives only a high-level prompt like a principal investigator's brief, then must review the literature, set a plan, run the research, and deliver both deterministically checkable numerical outputs and a manuscript. Across 22 models in 26 configurations, no configuration passes more than 46 of its 168 rollouts, and manual review of trajectories traces the main weaknesses to insufficiently rigorous reasoning and limited expert intuition rather than gaps in physics knowledge.

  2. arXiv

    Data science agents often score well while breaking method rules: across 220 tasks, more data leakage tracked with higher predictive performance

    An evaluation across 220 data science tasks finds most agentic solutions contain at least one methodological failure, and that data leakage failures correlate positively with predictive performance, so accuracy alone misses method problems.

You’re all caught up