From Structure to Validity: Mechanism-Guided Generation and Refinement of LLM Rubrics

cs.CL

Submitted: 2026-10-09

Updated: 2026-10-14

Comments: Submitted to ICLR 2027

Code: https://github.com/SophiaQian02/Tree

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Sources

• HealthBench: Evaluating Large Language Models Towards Improved Human Health
• GenRubric: Self-Evolving Rubric Generation for Scalable LLM Evaluation
• Optimsyn: Influence-Guided Rubrics Optimization for Synthetic Data Generation
• Qworld: Question-Specific Evaluation Criteria for LLMs
• The Llama 3 Herd of Models
• DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
• Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
• Reinforcing Chain-of-Thought Reasoning with Self-Evolving Rubrics
• Deep Research: A Systematic Survey
• InfiMed-ORBIT: Aligning LLMs on Open-Ended Complex Tasks via Rubric-Based Incremental Training
• Auto-Rubric: Learning From Implicit Weights to Explicit Rubrics for Reward Modeling
• Qwen3 Technical Report
• Rubrics on Trial: Evolving Rubrics from a Single Query via Synthetic Pairwise Evidence

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