Boosting LLM Reasoning via Human-Inspired Reward Shaping
Fuente:
arXiv
Saved in:
| Main Authors: | Lin, Wenze, Yang, Zhen, Jiang, Xitai, Ma, Xiaoteng, Huang, Gao |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
From Reasoning Chains to Verifiable Subproblems: Curriculum Reinforcement Learning Enables Credit Assignment for LLM Reasoning
by: Jiang, Xitai, et al.
Published: (2026)
by: Jiang, Xitai, et al.
Published: (2026)
Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias
by: Lu, Rui, et al.
Published: (2025)
by: Lu, Rui, et al.
Published: (2025)
What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning
by: Ma, Yiran, et al.
Published: (2024)
by: Ma, Yiran, et al.
Published: (2024)
DRPO: Efficient Reasoning via Decoupled Reward Policy Optimization
by: Li, Gang, et al.
Published: (2025)
by: Li, Gang, et al.
Published: (2025)
DGRO: Enhancing LLM Reasoning via Exploration-Exploitation Control and Reward Variance Management
by: Su, Xuerui, et al.
Published: (2025)
by: Su, Xuerui, et al.
Published: (2025)
FlowRL: Matching Reward Distributions for LLM Reasoning
by: Zhu, Xuekai, et al.
Published: (2025)
by: Zhu, Xuekai, et al.
Published: (2025)
Random Policy Valuation is Enough for LLM Reasoning with Verifiable Rewards
by: He, Haoran, et al.
Published: (2025)
by: He, Haoran, et al.
Published: (2025)
Accelerating LLM Reasoning via Early Rejection with Partial Reward Modeling
by: Cheshmi, Seyyed Saeid, et al.
Published: (2025)
by: Cheshmi, Seyyed Saeid, et al.
Published: (2025)
From Reward Shaping to Q-Shaping: Achieving Unbiased Learning with LLM-Guided Knowledge
by: Wu, Xiefeng
Published: (2024)
by: Wu, Xiefeng
Published: (2024)
Automatic Reward Shaping from Multi-Objective Human Heuristics
by: Xie, Yuqing, et al.
Published: (2025)
by: Xie, Yuqing, et al.
Published: (2025)
Reward Shaping for Inference-Time Alignment: A Stackelberg Game Perspective
by: Wang, Haichuan, et al.
Published: (2026)
by: Wang, Haichuan, et al.
Published: (2026)
Learn to Reason Efficiently with Adaptive Length-based Reward Shaping
by: Liu, Wei, et al.
Published: (2025)
by: Liu, Wei, et al.
Published: (2025)
Zero-Shot LLMs in Human-in-the-Loop RL: Replacing Human Feedback for Reward Shaping
by: Nazir, Mohammad Saif, et al.
Published: (2025)
by: Nazir, Mohammad Saif, et al.
Published: (2025)
LLM Reasoning with Process Rewards for Outcome-Guided Steps
by: Rezaei, Mohammad, et al.
Published: (2026)
by: Rezaei, Mohammad, et al.
Published: (2026)
MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning
by: Chen, Jinhao, et al.
Published: (2025)
by: Chen, Jinhao, et al.
Published: (2025)
Bootstrapped Reward Shaping
by: Adamczyk, Jacob, et al.
Published: (2025)
by: Adamczyk, Jacob, et al.
Published: (2025)
Verifying Meta-Awareness via Predictive Rewards in Reasoning Models
by: Kim, Yoonjeon, et al.
Published: (2025)
by: Kim, Yoonjeon, et al.
Published: (2025)
Attention-Based Reward Shaping for Sparse and Delayed Rewards
by: Holmes, Ian, et al.
Published: (2025)
by: Holmes, Ian, et al.
Published: (2025)
Unlocking Multimodal Mathematical Reasoning via Process Reward Model
by: Luo, Ruilin, et al.
Published: (2025)
by: Luo, Ruilin, et al.
Published: (2025)
On Designing Effective RL Reward at Training Time for LLM Reasoning
by: Gao, Jiaxuan, et al.
Published: (2024)
by: Gao, Jiaxuan, et al.
Published: (2024)
Mildly Conservative Q-Learning for Offline Reinforcement Learning
by: Lyu, Jiafei, et al.
Published: (2022)
by: Lyu, Jiafei, et al.
Published: (2022)
Highly Efficient Self-Adaptive Reward Shaping for Reinforcement Learning
by: Ma, Haozhe, et al.
Published: (2024)
by: Ma, Haozhe, et al.
Published: (2024)
Shaping Sparse Rewards in Reinforcement Learning: A Semi-supervised Approach
by: Li, Wenyun, et al.
Published: (2025)
by: Li, Wenyun, et al.
Published: (2025)
RationalRewards: Reasoning Rewards Scale Visual Generation Both Training and Test Time
by: Wang, Haozhe, et al.
Published: (2026)
by: Wang, Haozhe, et al.
Published: (2026)
TraPO: A Semi-Supervised Reinforcement Learning Framework for Boosting LLM Reasoning
by: Yang, Shenzhi, et al.
Published: (2025)
by: Yang, Shenzhi, et al.
Published: (2025)
Eureka: Human-Level Reward Design via Coding Large Language Models
by: Ma, Yecheng Jason, et al.
Published: (2023)
by: Ma, Yecheng Jason, et al.
Published: (2023)
Entropy-Guided Data-Efficient Training for Multimodal Reasoning Reward Models
by: Yang, Shidong, et al.
Published: (2026)
by: Yang, Shidong, et al.
Published: (2026)
R^3: Replay, Reflection, and Ranking Rewards for LLM Reinforcement Learning
by: Jiang, Zhizheng, et al.
Published: (2026)
by: Jiang, Zhizheng, et al.
Published: (2026)
BAMDP Shaping: a Unified Framework for Intrinsic Motivation and Reward Shaping
by: Lidayan, Aly, et al.
Published: (2024)
by: Lidayan, Aly, et al.
Published: (2024)
Confounding Robust Continuous Control via Automatic Reward Shaping
by: Juliani, Mateo, et al.
Published: (2026)
by: Juliani, Mateo, et al.
Published: (2026)
RiskPO: Risk-based Policy Optimization via Verifiable Reward for LLM Post-Training
by: Ren, Tao, et al.
Published: (2025)
by: Ren, Tao, et al.
Published: (2025)
The Past Is Not Past: Memory-Enhanced Dynamic Reward Shaping
by: Liu, Yang, et al.
Published: (2026)
by: Liu, Yang, et al.
Published: (2026)
A Model Can Help Itself: Reward-Free Self-Training for LLM Reasoning
by: Li, Mengqi, et al.
Published: (2025)
by: Li, Mengqi, et al.
Published: (2025)
Combining Automated Optimisation of Hyperparameters and Reward Shape
by: Dierkes, Julian, et al.
Published: (2024)
by: Dierkes, Julian, et al.
Published: (2024)
CPL: Critical Plan Step Learning Boosts LLM Generalization in Reasoning Tasks
by: Wang, Tianlong, et al.
Published: (2024)
by: Wang, Tianlong, et al.
Published: (2024)
Extracting Heuristics from Large Language Models for Reward Shaping in Reinforcement Learning
by: Bhambri, Siddhant, et al.
Published: (2024)
by: Bhambri, Siddhant, et al.
Published: (2024)
DSAC: Distributional Soft Actor-Critic for Risk-Sensitive Reinforcement Learning
by: Ma, Xiaoteng, et al.
Published: (2020)
by: Ma, Xiaoteng, et al.
Published: (2020)
Reward Shaping to Mitigate Reward Hacking in RLHF
by: Fu, Jiayi, et al.
Published: (2025)
by: Fu, Jiayi, et al.
Published: (2025)
A Framework for Inference Inspired by Human Memory Mechanisms
by: Zeng, Xiangyu, et al.
Published: (2023)
by: Zeng, Xiangyu, et al.
Published: (2023)
MemReward: Graph-Based Experience Memory for LLM Reward Prediction with Limited Labels
by: Luo, Tianyang, et al.
Published: (2026)
by: Luo, Tianyang, et al.
Published: (2026)
Similar Items
-
From Reasoning Chains to Verifiable Subproblems: Curriculum Reinforcement Learning Enables Credit Assignment for LLM Reasoning
by: Jiang, Xitai, et al.
Published: (2026) -
Towards Understanding Text Hallucination of Diffusion Models via Local Generation Bias
by: Lu, Rui, et al.
Published: (2025) -
What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning
by: Ma, Yiran, et al.
Published: (2024) -
DRPO: Efficient Reasoning via Decoupled Reward Policy Optimization
by: Li, Gang, et al.
Published: (2025) -
DGRO: Enhancing LLM Reasoning via Exploration-Exploitation Control and Reward Variance Management
by: Su, Xuerui, et al.
Published: (2025)