Saved in:
| Main Authors: | Wang, Xingyao, Chen, Valerie, Ji, Heng, Neubig, Graham |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2603.03800 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Future-as-Label: Scalable Supervision from Real-World Outcomes
by: Turtel, Benjamin, et al.
Published: (2026)
by: Turtel, Benjamin, et al.
Published: (2026)
Training Proactive and Personalized LLM Agents
by: Sun, Weiwei, et al.
Published: (2025)
by: Sun, Weiwei, et al.
Published: (2025)
Gym-Anything: Turn any Software into an Agent Environment
by: Aggarwal, Pranjal, et al.
Published: (2026)
by: Aggarwal, Pranjal, et al.
Published: (2026)
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
by: Yuan, Lifan, et al.
Published: (2023)
by: Yuan, Lifan, et al.
Published: (2023)
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
by: Wang, Xingyao, et al.
Published: (2023)
by: Wang, Xingyao, et al.
Published: (2023)
Auto-Rubric: Learning From Implicit Weights to Explicit Rubrics for Reward Modeling
by: Xie, Lipeng, et al.
Published: (2025)
by: Xie, Lipeng, et al.
Published: (2025)
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)
Rubric-based On-policy Distillation
by: Fang, Junfeng, et al.
Published: (2026)
by: Fang, Junfeng, et al.
Published: (2026)
TOM-SWE: User Mental Modeling For Software Engineering Agents
by: Zhou, Xuhui, et al.
Published: (2025)
by: Zhou, Xuhui, et al.
Published: (2025)
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)
FutureWorld: A Live Reinforcement Learning Environment for Predictive Agents with Real-World Outcome Rewards
by: Han, Zhixin, et al.
Published: (2026)
by: Han, Zhixin, et al.
Published: (2026)
Sparsely Supervised Diffusion
by: Zhao, Wenshuai, et al.
Published: (2026)
by: Zhao, Wenshuai, et al.
Published: (2026)
ModelingAgent: Bridging LLMs and Mathematical Modeling for Real-World Challenges
by: Qian, Cheng, et al.
Published: (2025)
by: Qian, Cheng, et al.
Published: (2025)
Bridging Policy and Real-World Dynamics: LLM-Augmented Rebalancing for Shared Micromobility Systems
by: Tan, Heng, et al.
Published: (2026)
by: Tan, Heng, et al.
Published: (2026)
Reinforcement Learning with Rubric Anchors
by: Huang, Zenan, et al.
Published: (2025)
by: Huang, Zenan, et al.
Published: (2025)
Online Rubrics Elicitation from Pairwise Comparisons
by: Rezaei, MohammadHossein, et al.
Published: (2025)
by: Rezaei, MohammadHossein, et al.
Published: (2025)
Reinforcing Chain-of-Thought Reasoning with Self-Evolving Rubrics
by: Sheng, Leheng, et al.
Published: (2026)
by: Sheng, Leheng, et al.
Published: (2026)
CLR-voyance: Reinforcing Open-Ended Reasoning for Inpatient Clinical Decision Support with Outcome-Aware Rubrics
by: Nagar, Aishik, et al.
Published: (2026)
by: Nagar, Aishik, et al.
Published: (2026)
Recursive Agent Optimization
by: Gandhi, Apurva, et al.
Published: (2026)
by: Gandhi, Apurva, et al.
Published: (2026)
RubiCap: Rubric-Guided Reinforcement Learning for Dense Image Captioning
by: Huang, Tzu-Heng, et al.
Published: (2026)
by: Huang, Tzu-Heng, 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)
Annealed Relaxation of Speculative Decoding for Faster Autoregressive Image Generation
by: Li, Xingyao, et al.
Published: (2026)
by: Li, Xingyao, et al.
Published: (2026)
CDRRM: Contrast-Driven Rubric Generation for Reliable and Interpretable Reward Modeling
by: Liu, Dengcan, et al.
Published: (2026)
by: Liu, Dengcan, et al.
Published: (2026)
Robustness of Graph Self-Supervised Learning to Real-World Noise: A Case Study on Text-Driven Biomedical Graphs
by: Kabal, Othmane, et al.
Published: (2026)
by: Kabal, Othmane, et al.
Published: (2026)
Health-SCORE: Towards Scalable Rubrics for Improving Health-LLMs
by: Yang, Zhichao, et al.
Published: (2026)
by: Yang, Zhichao, et al.
Published: (2026)
Uncertainty-Calibrated Spatiotemporal Field Diffusion with Sparse Supervision
by: Valencia, Kevin, et al.
Published: (2026)
by: Valencia, Kevin, et al.
Published: (2026)
Examining LLMs' Uncertainty Expression Towards Questions Outside Parametric Knowledge
by: Liu, Genglin, et al.
Published: (2023)
by: Liu, Genglin, et al.
Published: (2023)
Breaking the Exploration Bottleneck: Rubric-Scaffolded Reinforcement Learning for General LLM Reasoning
by: Zhou, Yang, et al.
Published: (2025)
by: Zhou, Yang, et al.
Published: (2025)
Rubrics as Rewards: Reinforcement Learning Beyond Verifiable Domains
by: Gunjal, Anisha, et al.
Published: (2025)
by: Gunjal, Anisha, et al.
Published: (2025)
Divergences between Language Models and Human Brains
by: Zhou, Yuchen, et al.
Published: (2023)
by: Zhou, Yuchen, et al.
Published: (2023)
Synthetic Multimodal Question Generation
by: Wu, Ian, et al.
Published: (2024)
by: Wu, Ian, et al.
Published: (2024)
MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures
by: Ni, Jinjie, et al.
Published: (2024)
by: Ni, Jinjie, et al.
Published: (2024)
Sparsely-Supervised Data Assimilation via Physics-Informed Schrödinger Bridge
by: Bu, Dohyun, et al.
Published: (2026)
by: Bu, Dohyun, et al.
Published: (2026)
Generalizing Scaling Laws for Dense and Sparse Large Language Models
by: Hossain, Md Arafat, et al.
Published: (2025)
by: Hossain, Md Arafat, et al.
Published: (2025)
Pref-GUIDE: Continual Policy Learning from Real-Time Human Feedback via Preference-Based Learning
by: Ji, Zhengran, et al.
Published: (2025)
by: Ji, Zhengran, et al.
Published: (2025)
Sparse Threats, Focused Defense: Criticality-Aware Robust Reinforcement Learning for Safe Autonomous Driving
by: Wei, Qi, et al.
Published: (2026)
by: Wei, Qi, et al.
Published: (2026)
R3: Robust Rubric-Agnostic Reward Models
by: Anugraha, David, et al.
Published: (2025)
by: Anugraha, David, et al.
Published: (2025)
Rethinking Rubric Generation for Improving LLM Judge and Reward Modeling for Open-ended Tasks
by: Shen, William F., et al.
Published: (2026)
by: Shen, William F., et al.
Published: (2026)
SparseDM: Toward Sparse Efficient Diffusion Models
by: Wang, Kafeng, et al.
Published: (2024)
by: Wang, Kafeng, et al.
Published: (2024)
Towards Self-Supervised Foundation Models for Critical Care Time Series
by: Jagd, Katja Naasunnguaq, et al.
Published: (2025)
by: Jagd, Katja Naasunnguaq, et al.
Published: (2025)
Similar Items
-
Future-as-Label: Scalable Supervision from Real-World Outcomes
by: Turtel, Benjamin, et al.
Published: (2026) -
Training Proactive and Personalized LLM Agents
by: Sun, Weiwei, et al.
Published: (2025) -
Gym-Anything: Turn any Software into an Agent Environment
by: Aggarwal, Pranjal, et al.
Published: (2026) -
CRAFT: Customizing LLMs by Creating and Retrieving from Specialized Toolsets
by: Yuan, Lifan, et al.
Published: (2023) -
MINT: Evaluating LLMs in Multi-turn Interaction with Tools and Language Feedback
by: Wang, Xingyao, et al.
Published: (2023)