OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Tianci, Xu, Ran, Yu, Tony, Hong, Ilgee, Yang, Carl, Zhao, Tuo, Wang, Haoyu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training
by: Xu, Ran, et al.
Published: (2026)
by: Xu, Ran, et al.
Published: (2026)
RUBRIC-ARROW: Alternating Pointwise Rubric Reward Modeling for LLM Post-training in Non-verifiable Domains
by: Jiang, Haoxiang, et al.
Published: (2026)
by: Jiang, Haoxiang, et al.
Published: (2026)
AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning
by: Jia, Mengzhao, et al.
Published: (2025)
by: Jia, Mengzhao, et al.
Published: (2025)
Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards
by: Yuan, Youliang, et al.
Published: (2025)
by: Yuan, Youliang, et al.
Published: (2025)
AdaRubric: Task-Adaptive Rubrics for Reliable LLM Agent Evaluation and Reward Learning
by: Ding, Liang
Published: (2026)
by: Ding, Liang
Published: (2026)
EvoRubric: Self-Evolving Rubric-Driven RL for Open-Ended Generation
by: Guan, Xin, et al.
Published: (2026)
by: Guan, Xin, et al.
Published: (2026)
Rubrics to Tokens: Bridging Response-level Rubrics and Token-level Rewards in Instruction Following Tasks
by: Xu, Tianze, et al.
Published: (2026)
by: Xu, Tianze, et al.
Published: (2026)
Rubric-Guided Process Reward for Stepwise Model Routing
by: Ye, Shenghao, et al.
Published: (2026)
by: Ye, Shenghao, et al.
Published: (2026)
Open Rubric System: Scaling Reinforcement Learning with Pairwise Adaptive Rubric
by: Jia, Ruipeng, et al.
Published: (2026)
by: Jia, Ruipeng, et al.
Published: (2026)
RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards
by: Li, Gaotang, et al.
Published: (2026)
by: Li, Gaotang, et al.
Published: (2026)
Optimsyn: Influence-Guided Rubrics Optimization for Synthetic Data Generation
by: Fan, Zhiting, et al.
Published: (2026)
by: Fan, Zhiting, et al.
Published: (2026)
ARES: Automated Rubric Synthesis for Scalable LLM Reinforcement Learning
by: Li, Xiaoyuan, et al.
Published: (2026)
by: Li, Xiaoyuan, et al.
Published: (2026)
C2: Scalable Rubric-Augmented Reward Modeling from Binary Preferences
by: Kawabata, Akira, et al.
Published: (2026)
by: Kawabata, Akira, et al.
Published: (2026)
Rubric-Conditioned LLM Grading: Alignment, Uncertainty, and Robustness
by: Deng, Haotian, et al.
Published: (2025)
by: Deng, Haotian, et al.
Published: (2025)
R3: Robust Rubric-Agnostic Reward Models
by: Anugraha, David, et al.
Published: (2025)
by: Anugraha, David, et al.
Published: (2025)
Discriminative Finetuning of Generative Large Language Models without Reward Models and Human Preference Data
by: Guo, Siqi, et al.
Published: (2025)
by: Guo, Siqi, et al.
Published: (2025)
DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification
by: Liu, Rui, et al.
Published: (2026)
by: Liu, Rui, et al.
Published: (2026)
Generating Data-Driven Reasoning Rubrics for Domain-Adaptive Reward Modeling
by: Sanders, Kate, et al.
Published: (2026)
by: Sanders, Kate, et al.
Published: (2026)
Self-Rewarding Rubric-Based Reinforcement Learning for Open-Ended Reasoning
by: Ye, Zhiling, et al.
Published: (2025)
by: Ye, Zhiling, et al.
Published: (2025)
RubricRAG: Towards Interpretable and Reliable LLM Evaluation via Domain Knowledge Retrieval for Rubric Generation
by: Dhole, Kaustubh D., et al.
Published: (2026)
by: Dhole, Kaustubh D., et al.
Published: (2026)
Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
by: Gunjal, Anisha, et al.
Published: (2025)
by: Gunjal, Anisha, et al.
Published: (2025)
Omni-RRM: Advancing Omni Reward Modeling via Automatic Rubric-Grounded Preference Synthesis
by: Kong, Zicheng, et al.
Published: (2026)
by: Kong, Zicheng, et al.
Published: (2026)
Mock Worlds, Real Skills: Building Small Agentic Language Models with Synthetic Tasks, Simulated Environments, and Rubric-Based Rewards
by: Lyu, Yuanjie, et al.
Published: (2026)
by: Lyu, Yuanjie, et al.
Published: (2026)
Configurable Preference Tuning with Rubric-Guided Synthetic Data
by: Gallego, Víctor
Published: (2025)
by: Gallego, Víctor
Published: (2025)
Reinforcement Learning with Rubric Anchors
by: Huang, Zenan, et al.
Published: (2025)
by: Huang, Zenan, et al.
Published: (2025)
Training AI Co-Scientists Using Rubric Rewards
by: Goel, Shashwat, et al.
Published: (2025)
by: Goel, Shashwat, et al.
Published: (2025)
mR3: Multilingual Rubric-Agnostic Reward Reasoning Models
by: Anugraha, David, et al.
Published: (2025)
by: Anugraha, David, et al.
Published: (2025)
Think-with-Rubrics: From External Evaluator to Internal Reasoning Guidance
by: Yu, Jiachen, et al.
Published: (2026)
by: Yu, Jiachen, et al.
Published: (2026)
Autorubric: Unifying Rubric-based LLM Evaluation
by: Rao, Delip, et al.
Published: (2026)
by: Rao, Delip, et al.
Published: (2026)
AMARIS: A Memory-Augmented Rubric Improvement System for Rubric-Based Reinforcement Learning
by: Wu, Peilin, et al.
Published: (2026)
by: Wu, Peilin, et al.
Published: (2026)
Visual Preference Optimization with Rubric Rewards
by: Yu, Ya-Qi, et al.
Published: (2026)
by: Yu, Ya-Qi, et al.
Published: (2026)
Reinforcement Learning with Robust Rubric Rewards
by: Yu, Ya-Qi, et al.
Published: (2026)
by: Yu, Ya-Qi, et al.
Published: (2026)
Step-wise Rubric Rewards for LLM Reasoning
by: Xie, Weichu, et al.
Published: (2026)
by: Xie, Weichu, et al.
Published: (2026)
ResearchRubrics: A Benchmark of Prompts and Rubrics For Evaluating Deep Research Agents
by: Sharma, Manasi, et al.
Published: (2025)
by: Sharma, Manasi, et al.
Published: (2025)
From Rubrics to Reliable Scores: Evidence-Grounded Text Evaluation with LLM Judges
by: Hong, Yihan, et al.
Published: (2026)
by: Hong, Yihan, et al.
Published: (2026)
Confusion-Aware Rubric Optimization for LLM-based Automated Grading
by: Chu, Yucheng, et al.
Published: (2026)
by: Chu, Yucheng, et al.
Published: (2026)
Preference-Aware Rubric Learning for Personalized Evaluation
by: Qiu, Yilun, et al.
Published: (2026)
by: Qiu, Yilun, et al.
Published: (2026)
Deep Research as Rubric for Reinforcement Learning
by: Mei, Wangyi, et al.
Published: (2026)
by: Mei, Wangyi, et al.
Published: (2026)
Xpertbench: Expert Level Tasks with Rubrics-Based Evaluation
by: Liu, Xue, et al.
Published: (2026)
by: Liu, Xue, et al.
Published: (2026)
RoseRAG: Robust Retrieval-augmented Generation with Small-scale LLMs via Margin-aware Preference Optimization
by: Liu, Tianci, et al.
Published: (2025)
by: Liu, Tianci, et al.
Published: (2025)
Similar Items
-
Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training
by: Xu, Ran, et al.
Published: (2026) -
RUBRIC-ARROW: Alternating Pointwise Rubric Reward Modeling for LLM Post-training in Non-verifiable Domains
by: Jiang, Haoxiang, et al.
Published: (2026) -
AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning
by: Jia, Mengzhao, et al.
Published: (2025) -
Curing Miracle Steps in LLM Mathematical Reasoning with Rubric Rewards
by: Yuan, Youliang, et al.
Published: (2025) -
AdaRubric: Task-Adaptive Rubrics for Reliable LLM Agent Evaluation and Reward Learning
by: Ding, Liang
Published: (2026)