Yonsei University

Trends

• Agent benchmarks expose reliability gaps and lose trust

Items

1. May 28

   Yonsei's LaRA detects RL training contamination

   Because RL post-training breaks output-level signals like likelihood and entropy, LaRA measures perturbation sensitivity, directional collapse, and representation rigidity across layers, beating all output-level contamination detectors without extra training data.