Cover Image

Open Rubric System: Scaling Reinforcement Learning with Pairwise Adaptive Rubric

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jia, Ruipeng, Yang, Yunyi, Wu, Yuxin, Gai, Yongbo, Tao, Siyuan, Zhou, Mengyu, Lin, Jianhe, Jiang, Xiaoxi, Jiang, Guanjun
Format:	Preprint
Published:	2026
Subjects:	Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Writing-Zero: Bridge the Gap Between Non-verifiable Tasks and Verifiable Rewards
by: Jia, Ruipeng, et al.
Published: (2025)

Rationale Matters: Learning Transferable Rubrics via Proxy-Guided Critique for VLM Reward Models
by: Qiu, Weijie, et al.
Published: (2026)

CLIPO: Contrastive Learning in Policy Optimization Generalizes RLVR
by: Cui, Sijia, et al.
Published: (2026)

AMARIS: A Memory-Augmented Rubric Improvement System for Rubric-Based Reinforcement Learning
by: Wu, Peilin, et al.
Published: (2026)

AutoRubric: Rubric-Based Generative Rewards for Faithful Multimodal Reasoning
by: Jia, Mengzhao, et al.
Published: (2025)

Deep Research as Rubric for Reinforcement Learning
by: Mei, Wangyi, et al.
Published: (2026)

Online Rubrics Elicitation from Pairwise Comparisons
by: Rezaei, MohammadHossein, et al.
Published: (2025)

Preference-Aware Rubric Learning for Personalized Evaluation
by: Qiu, Yilun, et al.
Published: (2026)

Self-Rewarding Rubric-Based Reinforcement Learning for Open-Ended Reasoning
by: Ye, Zhiling, et al.
Published: (2025)

Reinforcement Learning with Rubric Anchors
by: Huang, Zenan, et al.
Published: (2025)

EvoRubric: Self-Evolving Rubric-Driven RL for Open-Ended Generation
by: Guan, Xin, et al.
Published: (2026)

AdaRubric: Task-Adaptive Rubrics for Reliable LLM Agent Evaluation and Reward Learning
by: Ding, Liang
Published: (2026)

OpenRubrics: Towards Scalable Synthetic Rubric Generation for Reward Modeling and LLM Alignment
by: Liu, Tianci, et al.
Published: (2025)

ARES: Automated Rubric Synthesis for Scalable LLM Reinforcement Learning
by: Li, Xiaoyuan, et al.
Published: (2026)

Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
by: Gunjal, Anisha, et al.
Published: (2025)

DR Tulu: Reinforcement Learning with Evolving Rubrics for Deep Research
by: Shao, Rulin, et al.
Published: (2025)

CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics
by: Nagar, Aishik, et al.
Published: (2026)

Am I More Pointwise or Pairwise? Revealing Position Bias in Rubric-Based LLM-as-a-Judge
by: Xu, Yuzheng, 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)

AdvancedIF: Rubric-Based Benchmarking and Reinforcement Learning for Advancing LLM Instruction Following
by: He, Yun, et al.
Published: (2025)

RubricEM: Meta-RL with Rubric-guided Policy Decomposition beyond Verifiable Rewards
by: Li, Gaotang, et al.
Published: (2026)

ResearchRubrics: A Benchmark of Prompts and Rubrics For Evaluating Deep Research Agents
by: Sharma, Manasi, et al.
Published: (2025)

Alternating Reinforcement Learning for Rubric-Based Reward Modeling in Non-Verifiable LLM Post-Training
by: Xu, Ran, et al.
Published: (2026)

Alternating Reinforcement Learning with Contextual Rubric Rewards: Beyond the Scalarization Strategy
by: Lan, Guangchen, et al.
Published: (2026)

Learning Query-Specific Rubrics from Human Preferences for DeepResearch Report Generation
by: Lv, Changze, et al.
Published: (2026)

MARCH: Multi-Agent Reinforced Self-Check for LLM Hallucination
by: Li, Zhuo, et al.
Published: (2026)

Automated Rubrics for Reliable Evaluation of Medical Dialogue Systems
by: Chen, Yinzhu, et al.
Published: (2026)

SibylSense: Adaptive Rubric Learning via Memory Tuning and Adversarial Probing
by: Xu, Yifei, et al.
Published: (2026)

Learning to Judge: LLMs Designing and Applying Evaluation Rubrics
by: Siro, Clemencia, et al.
Published: (2026)

Chaining the Evidence: Robust Reinforcement Learning for Deep Search Agents with Citation-Aware Rubric Rewards
by: Zhang, Jiajie, et al.
Published: (2026)

Generating Data-Driven Reasoning Rubrics for Domain-Adaptive Reward Modeling
by: Sanders, Kate, et al.
Published: (2026)

Bringing Stability to Diffusion: Decomposing and Reducing Variance of Training Masked Diffusion Models
by: Jia, Mengni, et al.
Published: (2025)

A Comprehensive Rubric for Annotating Pathological Speech
by: Corrales-Astorgano, Mario, et al.
Published: (2024)

Xpertbench: Expert Level Tasks with Rubrics-Based Evaluation
by: Liu, Xue, et al.
Published: (2026)

Autorubric: Unifying Rubric-based LLM Evaluation
by: Rao, Delip, et al.
Published: (2026)

PRBench: Large-Scale Expert Rubrics for Evaluating High-Stakes Professional Reasoning
by: Akyürek, Afra Feyza, et al.
Published: (2025)

StitchCUDA: An Automated Multi-Agents End-to-End GPU Programing Framework with Rubric-based Agentic Reinforcement Learning
by: Li, Shiyang, et al.
Published: (2026)

Beyond the Resumé: A Rubric-Aware Automatic Interview System for Information Elicitation
by: Stuart, Harry, et al.
Published: (2026)

ReviewGrounder: Improving Review Substantiveness with Rubric-Guided, Tool-Integrated Agents
by: Li, Zhuofeng, et al.
Published: (2026)

Reinforcement Learning with Robust Rubric Rewards
by: Yu, Ya-Qi, et al.
Published: (2026)