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Stabilizing Rubric Integration Training via Decoupled Advantage Normalization

BACKGROUND
1 SIGNALFIRST DETECTED 30 March 2026
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30 Mar
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Other feeds and industry voices
5 Sept
DRACO: Fine-Grained Credit Assignment with Dynamic Rubrics for Long-Horizon Agent Training

arXiv:2609.04094v1 Announce Type: new Abstract: Reinforcement Learning from Verifiable Rewards works well when a task has a programmatic checker, but most long-horizon agent

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12 May
Auto-Rubric as Reward: From Implicit Preferences to Explicit Multimodal Generative Criteria

arXiv:2605.08354v1 Announce Type: new Abstract: Aligning multimodal generative models with human preferences demands reward signals that respect the compositional,

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5 Oct
Spend Teacher Tokens Where They Matter: Success-Referenced On-Policy Distillation

arXiv:2610.02678v1 Announce Type: new Abstract: On-policy distillation (OPD) combines student-generated rollouts with dense token-level supervision from a teacher, but providing

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5 Oct
MetaRubric: Learning to Reward for Rubric-Based Reinforcement Learning

arXiv:2610.02824v1 Announce Type: new Abstract: Rubric-based reinforcement learning extends reward-driven optimization to open-ended tasks by assigning partial credit to

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31 Aug
Learning from Hard Prompts: Difficulty-aware Advantage Amplification in Dynamic Sampling

arXiv:2608.27982v1 Announce Type: new Abstract: Decoupled Clip and Dynamic Sampling Policy Optimization (DAPO) is a prominent variant of Group Relative Policy Optimization (GRPO).

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21 Sept
GVPO++: Group Variance Policy Optimization for LLM Post-Training and On-Policy Distillation

arXiv:2609.21432v1 Announce Type: new Abstract: Post-training plays a pivotal role in enhancing the reasoning capabilities and task-specific expertise of large language models

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27 Mar
RubricEval: A Rubric-Level Meta-Evaluation Benchmark for LLM Judges in Instruction Following

arXiv:2603.25133v1 Announce Type: new Abstract: Rubric-based evaluation has become a prevailing paradigm for evaluating instruction following in large language models (LLMs).

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1 Apr
ShapE-GRPO: Shapley-Enhanced Reward Allocation for Multi-Candidate LLM Training

arXiv:2603.29871v1 Announce Type: new Abstract: In user-agent interaction scenarios such as recommendation, brainstorming, and code suggestion, Large Language Models (LLMs) often

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