Whether or Where? Tail Calibration Signals Finite-Budget Reward Hacking in Best-of-N Selection

arXiv:2610.34375 · cs.LG, cs.AI, cs.CL · Submitted 2026-10-25 · Read on arXiv

cs.LG, cs.AI, cs.CL

Submitted: 2026-10-25

Updated: 2026-10-25

Terminology

• Calibration — 1× in this paper · explained in 9 episodes
• Reward Hacking — 1× in this paper · explained in 11 episodes

Related papers

• Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
• AIRL-S: Unifying Reinforcement Learning and Search-Based Test-Time Scaling via Adversarial Inverse Reinforcement Learning
• Transformers as Bayesian In-Context Experimenters: Smoothness-Adaptive Efficient ATE Estimation
• Convergence issues in Relational Concept Analysis based on AOC-posets
• Beliefs Beyond Posteriors: The Predictive Cost of ELBO Binding
• Understanding Diffusion Models via Ratio-Based Function Approximation with SignReLU Networks