Rubric Rewards from Item Response Theory

arXiv:2609.35646 · cs.CL · Submitted 2026-09-28 · Read on arXiv

cs.CL

Submitted: 2026-09-28

Updated: 2026-09-28

Terminology

• GRPO — 79× in this paper · explained in 6 episodes
• Calibration — 37× in this paper · explained in 7 episodes
• AUC — 16× in this paper · explained in 2 episodes
• Aggregation — 12× in this paper · explained in 1 episode
• Fisher Information — 12× in this paper · explained in 3 episodes
• Benchmark — 6× in this paper · explained in 2 episodes
• Cosine Similarity — 6× in this paper · explained in 3 episodes
• Redundancy — 4× in this paper · explained in 2 episodes
• Reinforcement Learning — 4× in this paper · explained in 4 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Ablation — 3× in this paper · explained in 1 episode
• Fidelity — 3× in this paper · explained in 2 episodes
• Generalization — 3× in this paper · explained in 13 episodes
• Alignment — 2× in this paper · explained in 1 episode
• Response Parameter Network — 2× in this paper
• Rubric Response Theory — 2× in this paper
• Thinking mode — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Bayesian Inference — 1× in this paper · explained in 5 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• Failure Modes — 1× in this paper · explained in 3 episodes
• Foundation Model — 1× in this paper · explained in 3 episodes
• Foundation Models — 1× in this paper · explained in 7 episodes
• GRPO Objective — 1× in this paper · explained in 2 episodes
• Hyperparameters — 1× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 1× in this paper · explained in 3 episodes
• Proximal Policy Optimization (PPO) — 1× in this paper · explained in 5 episodes
• Regularization — 1× in this paper · explained in 3 episodes
• Signal-to-noise ratio (SNR) — 1× in this paper · explained in 2 episodes
• Verifier — 1× in this paper · explained in 2 episodes

Sources

• HealthBench: Evaluating Large Language Models Towards Improved Human Health
• Llama-Embed-Nemotron-8B: A Universal Text Embedding Model for Multilingual and Cross-Lingual Tasks
• The Llama 3 Herd of Models
• Proximal Policy Optimization Algorithms
• Not Every Rubric Teaches Equally: Policy-Aware Rubric Rewards for RLVR
• Qwen3 Embedding: Advancing Text Embedding and Reranking Through Foundation Models

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