Error Typing for Smarter Rewards: Improving Process Reward Models with Error-Aware Hierarchical Supervision
Fuente:
arXiv
Saved in:
| Main Authors: | Pala, Tej Deep, Sharma, Panshul, Zadeh, Amir, Li, Chuan, Poria, Soujanya |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLMs Can't Handle Peer Pressure: Crumbling under Multi-Agent Social Interactions
by: Song, Maojia, et al.
Published: (2025)
by: Song, Maojia, et al.
Published: (2025)
Training Vision-Language Process Reward Models for Test-Time Scaling in Multimodal Reasoning: Key Insights and Lessons Learned
by: Ong, Brandon, et al.
Published: (2025)
by: Ong, Brandon, et al.
Published: (2025)
Lessons from Training Grounded LLMs with Verifiable Rewards
by: Sim, Shang Hong, et al.
Published: (2025)
by: Sim, Shang Hong, et al.
Published: (2025)
Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique
by: Pala, Tej Deep, et al.
Published: (2024)
by: Pala, Tej Deep, et al.
Published: (2024)
DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
by: Deep, Pala Tej, et al.
Published: (2024)
by: Deep, Pala Tej, et al.
Published: (2024)
PromptDistill: Query-based Selective Token Retention in Intermediate Layers for Efficient Large Language Model Inference
by: Jin, Weisheng, et al.
Published: (2025)
by: Jin, Weisheng, et al.
Published: (2025)
Emma-X: An Embodied Multimodal Action Model with Grounded Chain of Thought and Look-ahead Spatial Reasoning
by: Sun, Qi, et al.
Published: (2024)
by: Sun, Qi, et al.
Published: (2024)
Towards Robust Instruction Tuning on Multimodal Large Language Models
by: Han, Wei, et al.
Published: (2024)
by: Han, Wei, et al.
Published: (2024)
Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic
by: Bhardwaj, Rishabh, et al.
Published: (2024)
by: Bhardwaj, Rishabh, et al.
Published: (2024)
Evaluating and Improving Cultural Awareness of Reward Models for LLM Alignment
by: Zhang, Hongbin, et al.
Published: (2025)
by: Zhang, Hongbin, et al.
Published: (2025)
Process Reward Model with Q-Value Rankings
by: Li, Wendi, et al.
Published: (2024)
by: Li, Wendi, et al.
Published: (2024)
Stacked from One: Multi-Scale Self-Injection for Context Window Extension
by: Han, Wei, et al.
Published: (2026)
by: Han, Wei, et al.
Published: (2026)
A Survey of Process Reward Models: From Outcome Signals to Process Supervisions for Large Language Models
by: Zheng, Congmin, et al.
Published: (2025)
by: Zheng, Congmin, et al.
Published: (2025)
NORA-1.5: A Vision-Language-Action Model Trained using World Model- and Action-based Preference Rewards
by: Hung, Chia-Yu, et al.
Published: (2025)
by: Hung, Chia-Yu, et al.
Published: (2025)
Large Language Models for Automated Open-domain Scientific Hypotheses Discovery
by: Yang, Zonglin, et al.
Published: (2023)
by: Yang, Zonglin, et al.
Published: (2023)
Reward Model Perspectives: Whose Opinions Do Reward Models Reward?
by: Elle
Published: (2025)
by: Elle
Published: (2025)
"When Data is Scarce, Prompt Smarter"... Approaches to Grammatical Error Correction in Low-Resource Settings
by: De, Somsubhra, et al.
Published: (2025)
by: De, Somsubhra, et al.
Published: (2025)
Rubric-Guided Process Reward for Stepwise Model Routing
by: Ye, Shenghao, et al.
Published: (2026)
by: Ye, Shenghao, et al.
Published: (2026)
Process-based Self-Rewarding Language Models
by: Zhang, Shimao, et al.
Published: (2025)
by: Zhang, Shimao, et al.
Published: (2025)
Toward Robust Multimodal Learning using Multimodal Foundational Models
by: Zhao, Xianbing, et al.
Published: (2024)
by: Zhao, Xianbing, et al.
Published: (2024)
Process Reward Models That Think
by: Khalifa, Muhammad, et al.
Published: (2025)
by: Khalifa, Muhammad, et al.
Published: (2025)
RewardUQ: A Unified Framework for Uncertainty-Aware Reward Models
by: Yang, Daniel, et al.
Published: (2026)
by: Yang, Daniel, et al.
Published: (2026)
Two are better than one: Context window extension with multi-grained self-injection
by: Han, Wei, et al.
Published: (2024)
by: Han, Wei, et al.
Published: (2024)
DialogXpert: Driving Intelligent and Emotion-Aware Conversations through Online Value-Based Reinforcement Learning with LLM Priors
by: Rakib, Tazeek Bin Abdur, et al.
Published: (2025)
by: Rakib, Tazeek Bin Abdur, et al.
Published: (2025)
Sequence to Sequence Reward Modeling: Improving RLHF by Language Feedback
by: Zhou, Jiayi, et al.
Published: (2024)
by: Zhou, Jiayi, et al.
Published: (2024)
GRAM: A Generative Foundation Reward Model for Reward Generalization
by: Wang, Chenglong, et al.
Published: (2025)
by: Wang, Chenglong, et al.
Published: (2025)
Skywork-Reward: Bag of Tricks for Reward Modeling in LLMs
by: Liu, Chris Yuhao, et al.
Published: (2024)
by: Liu, Chris Yuhao, et al.
Published: (2024)
WildReward: Learning Reward Models from In-the-Wild Human Interactions
by: Peng, Hao, et al.
Published: (2026)
by: Peng, Hao, et al.
Published: (2026)
Socratic-PRMBench: Benchmarking Process Reward Models with Systematic Reasoning Patterns
by: Li, Xiang, et al.
Published: (2025)
by: Li, Xiang, et al.
Published: (2025)
Inference Time Alignment with Reward-Guided Tree Search
by: Hung, Chia-Yu, et al.
Published: (2024)
by: Hung, Chia-Yu, et al.
Published: (2024)
Fixing the Broken Compass: Diagnosing and Improving Inference-Time Reward Modeling
by: Li, Jiachun, et al.
Published: (2025)
by: Li, Jiachun, et al.
Published: (2025)
Self-Adaptive Sampling for Efficient Video Question-Answering on Image--Text Models
by: Han, Wei, et al.
Published: (2023)
by: Han, Wei, et al.
Published: (2023)
Towards Hierarchical Multi-Step Reward Models for Enhanced Reasoning in Large Language Models
by: Wang, Teng, et al.
Published: (2025)
by: Wang, Teng, et al.
Published: (2025)
Can-Do! A Dataset and Neuro-Symbolic Grounded Framework for Embodied Planning with Large Multimodal Models
by: Chia, Yew Ken, et al.
Published: (2024)
by: Chia, Yew Ken, et al.
Published: (2024)
M-RewardBench: Evaluating Reward Models in Multilingual Settings
by: Gureja, Srishti, et al.
Published: (2024)
by: Gureja, Srishti, et al.
Published: (2024)
Process Rewards with Learned Reliability
by: Li, Jinyuan, et al.
Published: (2026)
by: Li, Jinyuan, et al.
Published: (2026)
Segmenting Text and Learning Their Rewards for Improved RLHF in Language Model
by: Yin, Yueqin, et al.
Published: (2025)
by: Yin, Yueqin, et al.
Published: (2025)
Tiny Reward Models
by: Pan, Sarah
Published: (2025)
by: Pan, Sarah
Published: (2025)
Self-Rewarding Language Models
by: Yuan, Weizhe, et al.
Published: (2024)
by: Yuan, Weizhe, et al.
Published: (2024)
RewardFlow: Topology-Aware Reward Propagation on State Graphs for Agentic RL with Large Language Models
by: Feng, Xiao, et al.
Published: (2026)
by: Feng, Xiao, et al.
Published: (2026)
Similar Items
-
LLMs Can't Handle Peer Pressure: Crumbling under Multi-Agent Social Interactions
by: Song, Maojia, et al.
Published: (2025) -
Training Vision-Language Process Reward Models for Test-Time Scaling in Multimodal Reasoning: Key Insights and Lessons Learned
by: Ong, Brandon, et al.
Published: (2025) -
Lessons from Training Grounded LLMs with Verifiable Rewards
by: Sim, Shang Hong, et al.
Published: (2025) -
Ferret: Faster and Effective Automated Red Teaming with Reward-Based Scoring Technique
by: Pala, Tej Deep, et al.
Published: (2024) -
DELLA-Merging: Reducing Interference in Model Merging through Magnitude-Based Sampling
by: Deep, Pala Tej, et al.
Published: (2024)