Contrastive Reasoning Alignment: Reinforcement Learning from Hidden Representations
Fuente:
arXiv
Saved in:
| Main Authors: | Luo, Haozheng, Wang, Yimin, Yu, Jiahao, Wang, Binghui, Chen, Yan |
|---|---|
| Format: | Preprint |
| Published: |
2026
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility
by: He, Haoyu, et al.
Published: (2025)
by: He, Haoyu, et al.
Published: (2025)
FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning
by: Luo, Haozheng, et al.
Published: (2026)
by: Luo, Haozheng, et al.
Published: (2026)
Knowledge-Level Consistency Reinforcement Learning: Dual-Fact Alignment for Long-Form Factuality
by: Li, Junliang, et al.
Published: (2025)
by: Li, Junliang, et al.
Published: (2025)
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
by: Deng, Yihe, et al.
Published: (2025)
by: Deng, Yihe, et al.
Published: (2025)
Efficient Reasoning with Hidden Thinking
by: Shen, Xuan, et al.
Published: (2025)
by: Shen, Xuan, et al.
Published: (2025)
Critical Tokens Matter: Token-Level Contrastive Estimation Enhances LLM's Reasoning Capability
by: Lin, Zicheng, et al.
Published: (2024)
by: Lin, Zicheng, et al.
Published: (2024)
Incentivizing Agentic Reasoning in LLM Judges via Tool-Integrated Reinforcement Learning
by: Xu, Ran, et al.
Published: (2025)
by: Xu, Ran, et al.
Published: (2025)
StepHint: Multi-level Stepwise Hints Enhance Reinforcement Learning to Reason
by: Zhang, Kaiyi, et al.
Published: (2025)
by: Zhang, Kaiyi, et al.
Published: (2025)
The Entropy Mechanism of Reinforcement Learning for Reasoning Language Models
by: Cui, Ganqu, et al.
Published: (2025)
by: Cui, Ganqu, et al.
Published: (2025)
On the Hidden Objective Biases of Group-based Reinforcement Learning
by: Fontana, Aleksandar, et al.
Published: (2026)
by: Fontana, Aleksandar, et al.
Published: (2026)
Knowledge Graph Reasoning with Self-supervised Reinforcement Learning
by: Ma, Ying, et al.
Published: (2024)
by: Ma, Ying, et al.
Published: (2024)
Understanding and Mitigating Spurious Signal Amplification in Test-Time Reinforcement Learning for Math Reasoning
by: Yu, Yongcan, et al.
Published: (2026)
by: Yu, Yongcan, et al.
Published: (2026)
Reinforcement Learning for Reasoning in Large Language Models with One Training Example
by: Wang, Yiping, et al.
Published: (2025)
by: Wang, Yiping, et al.
Published: (2025)
Inverse Reinforcement Learning with Dynamic Reward Scaling for LLM Alignment
by: Cheng, Ruoxi, et al.
Published: (2025)
by: Cheng, Ruoxi, et al.
Published: (2025)
Reasoning through Exploration: A Reinforcement Learning Framework for Robust Function Calling
by: Hao, Bingguang, et al.
Published: (2025)
by: Hao, Bingguang, et al.
Published: (2025)
Generative Adversarial Reasoner: Enhancing LLM Reasoning with Adversarial Reinforcement Learning
by: Liu, Qihao, et al.
Published: (2025)
by: Liu, Qihao, et al.
Published: (2025)
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
by: Sun, Yu, et al.
Published: (2024)
by: Sun, Yu, et al.
Published: (2024)
Large Visual-Language Models Are Also Good Classifiers: A Study of In-Context Multimodal Fake News Detection
by: Jiang, Ye, et al.
Published: (2024)
by: Jiang, Ye, et al.
Published: (2024)
A Survey of Reinforcement Learning for Large Reasoning Models
by: Zhang, Kaiyan, et al.
Published: (2025)
by: Zhang, Kaiyan, et al.
Published: (2025)
Offline Reinforcement Learning for LLM Multi-Step Reasoning
by: Wang, Huaijie, et al.
Published: (2024)
by: Wang, Huaijie, et al.
Published: (2024)
CRINN: Contrastive Reinforcement Learning for Approximate Nearest Neighbor Search
by: Li, Xiaoya, et al.
Published: (2025)
by: Li, Xiaoya, et al.
Published: (2025)
Group Distributionally Robust Optimization-Driven Reinforcement Learning for LLM Reasoning
by: Panaganti, Kishan, et al.
Published: (2026)
by: Panaganti, Kishan, et al.
Published: (2026)
Boosting Reinforcement Learning with Verifiable Rewards via Randomly Selected Few-Shot Guidance
by: Yan, Kai, et al.
Published: (2026)
by: Yan, Kai, et al.
Published: (2026)
Unlocking Reasoning Capabilities in LLMs via Reinforcement Learning Exploration
by: Deng, Wenhao, et al.
Published: (2025)
by: Deng, Wenhao, et al.
Published: (2025)
DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning
by: DeepSeek-AI, et al.
Published: (2025)
by: DeepSeek-AI, et al.
Published: (2025)
Principled Data Selection for Alignment: The Hidden Risks of Difficult Examples
by: Gao, Chengqian, et al.
Published: (2025)
by: Gao, Chengqian, et al.
Published: (2025)
Nemotron-Cascade: Scaling Cascaded Reinforcement Learning for General-Purpose Reasoning Models
by: Wang, Boxin, et al.
Published: (2025)
by: Wang, Boxin, et al.
Published: (2025)
Relative Preference Optimization: Enhancing LLM Alignment through Contrasting Responses across Identical and Diverse Prompts
by: Yin, Yueqin, et al.
Published: (2024)
by: Yin, Yueqin, et al.
Published: (2024)
Improving Large Language Model Safety with Contrastive Representation Learning
by: Simko, Samuel, et al.
Published: (2025)
by: Simko, Samuel, et al.
Published: (2025)
AceReason-Nemotron: Advancing Math and Code Reasoning through Reinforcement Learning
by: Chen, Yang, et al.
Published: (2025)
by: Chen, Yang, et al.
Published: (2025)
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)
When Domains Interact: Asymmetric and Order-Sensitive Cross-Domain Effects in Reinforcement Learning for Reasoning
by: Yang, Wang, et al.
Published: (2026)
by: Yang, Wang, 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)
Layer by Layer: Uncovering Hidden Representations in Language Models
by: Skean, Oscar, et al.
Published: (2025)
by: Skean, Oscar, et al.
Published: (2025)
PCL-Reasoner-V1.5: Advancing Math Reasoning with Offline Reinforcement Learning
by: Lu, Yao, et al.
Published: (2026)
by: Lu, Yao, et al.
Published: (2026)
Evolutionary Contrastive Distillation for Language Model Alignment
by: Katz-Samuels, Julian, et al.
Published: (2024)
by: Katz-Samuels, Julian, et al.
Published: (2024)
Curriculum Reinforcement Learning from Easy to Hard Tasks Improves LLM Reasoning
by: Parashar, Shubham, et al.
Published: (2025)
by: Parashar, Shubham, et al.
Published: (2025)
Training Large Language Models for Reasoning through Reverse Curriculum Reinforcement Learning
by: Xi, Zhiheng, et al.
Published: (2024)
by: Xi, Zhiheng, et al.
Published: (2024)
AR$^2$: Adversarial Reinforcement Learning for Abstract Reasoning in Large Language Models
by: Yeh, Cheng-Kai, et al.
Published: (2025)
by: Yeh, Cheng-Kai, et al.
Published: (2025)
Learning to Reason under Off-Policy Guidance
by: Yan, Jianhao, et al.
Published: (2025)
by: Yan, Jianhao, et al.
Published: (2025)
Similar Items
-
RHYTHM: Reasoning with Hierarchical Temporal Tokenization for Human Mobility
by: He, Haoyu, et al.
Published: (2025) -
FROST: Filtering Reasoning Outliers with Attention for Efficient Reasoning
by: Luo, Haozheng, et al.
Published: (2026) -
Knowledge-Level Consistency Reinforcement Learning: Dual-Fact Alignment for Long-Form Factuality
by: Li, Junliang, et al.
Published: (2025) -
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
by: Deng, Yihe, et al.
Published: (2025) -
Efficient Reasoning with Hidden Thinking
by: Shen, Xuan, et al.
Published: (2025)