An Imperfect Verifier is Good Enough: Learning with Noisy Rewards
cs.LG, cs.AI
Submitted: 2026-04-09
Updated: 2026-09-27
Code: https://github.com/huggingface/MathVerify
Terminology
Sources
- Program Synthesis with Large Language Models
- Constitutional AI: Harmlessness from AI Feedback
- Reinforcement Learning with Verifiable yet Noisy Rewards under Imperfect Verifiers
- Exploration vs Exploitation: Rethinking RLVR through Clipping, Entropy, and Spurious Reward
- SFT Memorizes, RL Generalizes: A Comparative Study of Foundation Model Post-training
- Process Reinforcement through Implicit Rewards
- DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
- Computing Nonvacuous Generalization Bounds for Deep (Stochastic) Neural Networks with Many More Parameters than Training Data
- Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
- AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following
- Measuring Mathematical Problem Solving With the MATH Dataset
- From Accuracy to Robustness: A Study of Rule- and Model-based Verifiers in Mathematical Reasoning
- Reinforcement Learning via Self-Distillation
- Evaluating Feature Dependent Noise in Preference-based Reinforcement Learning
- Let's Verify Step by Step
- Examining Reasoning LLMs-as-Judges in Non-Verifiable LLM Post-Training
- Understanding R1-Zero-Like Training: A Critical Perspective
- Noise-corrected GRPO: From Noisy Rewards to Unbiased Gradients
- Rate or Fate? RLV$^\varepsilon$R: Reinforcement Learning with Verifiable Noisy Rewards
- GPQA: A Graduate-Level Google-Proof Q&A Benchmark
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