Cover Image

Coupled Variational Reinforcement Learning for Language Model General Reasoning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wen, Xueru, Lou, Jie, Liu, Yanjiang, Lin, Hongyu, He, Ben, Han, Xianpei, Sun, Le, Lu, Yaojie, Zhang, Debing
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Rethinking Reward Model Evaluation: Are We Barking up the Wrong Tree?
by: Wen, Xueru, et al.
Published: (2024)

MemSearcher: Training LLMs to Reason, Search and Manage Memory via End-to-End Reinforcement Learning
by: Yuan, Qianhao, et al.
Published: (2025)

The Devil Is in the Details: Tackling Unimodal Spurious Correlations for Generalizable Multimodal Reward Models
by: Li, Zichao, et al.
Published: (2025)

On-Policy Self-Alignment with Fine-grained Knowledge Feedback for Hallucination Mitigation
by: Wen, Xueru, et al.
Published: (2024)

SAISA: Towards Multimodal Large Language Models with Both Training and Inference Efficiency
by: Yuan, Qianhao, et al.
Published: (2025)

Critic-CoT: Boosting the reasoning abilities of large language model via Chain-of-thoughts Critic
by: Zheng, Xin, et al.
Published: (2024)

Decoupling Reasoning and Confidence: Resurrecting Calibration in Reinforcement Learning from Verifiable Rewards
by: Ma, Zhengzhao, et al.
Published: (2026)

Cheems: A Practical Guidance for Building and Evaluating Chinese Reward Models from Scratch
by: Wen, Xueru, et al.
Published: (2025)

Learning from Failures: Correction-Oriented Policy Optimization with Verifiable Rewards
by: Ren, Mengjie, et al.
Published: (2026)

Rule or Story, Which is a Better Commonsense Expression for Talking with Large Language Models?
by: Bian, Ning, et al.
Published: (2024)

Search, Verify and Feedback: Towards Next Generation Post-training Paradigm of Foundation Models via Verifier Engineering
by: Guan, Xinyan, et al.
Published: (2024)

Scalable Oversight for Superhuman AI via Recursive Self-Critiquing
by: Wen, Xueru, et al.
Published: (2025)

Auto-RT: Automatic Jailbreak Strategy Exploration for Red-Teaming Large Language Models
by: Liu, Yanjiang, et al.
Published: (2025)

Your Teacher Can't Help You Here: Combating Supervision Fidelity Decay in On-Policy Distillation
by: Liu, Yanjiang, et al.
Published: (2026)

Tackling Length Inflation Without Trade-offs: Group Relative Reward Rescaling for Reinforcement Learning
by: Li, Zichao, et al.
Published: (2026)

Expanding the Boundaries of Vision Prior Knowledge in Multi-modal Large Language Models
by: Liang, Qiao, et al.
Published: (2025)

Executing Natural Language-Described Algorithms with Large Language Models: An Investigation
by: Zheng, Xin, et al.
Published: (2024)

Transferable Post-training via Inverse Value Learning
by: Lu, Xinyu, et al.
Published: (2024)

ChatGPT is a Knowledgeable but Inexperienced Solver: An Investigation of Commonsense Problem in Large Language Models
by: Bian, Ning, et al.
Published: (2023)

Meta-Cognitive Analysis: Evaluating Declarative and Procedural Knowledge in Datasets and Large Language Models
by: Li, Zhuoqun, et al.
Published: (2024)

Vision-OPD: Learning to See Fine Details for Multimodal LLMs via On-Policy Self-Distillation
by: Yuan, Qianhao, et al.
Published: (2026)

ShortV: Efficient Multimodal Large Language Models by Freezing Visual Tokens in Ineffective Layers
by: Yuan, Qianhao, et al.
Published: (2025)

Self-Steering Optimization: Autonomous Preference Optimization for Large Language Models
by: Xiang, Hao, et al.
Published: (2024)

LiteCoder-Terminal: Scaling Long-Horizon Terminal Environments for Learning Language Agents
by: Peng, Xiaoxuan, et al.
Published: (2026)

REInstruct: Building Instruction Data from Unlabeled Corpus
by: Chen, Shu, et al.
Published: (2024)

Open Grounded Planning: Challenges and Benchmark Construction
by: Guo, Shiguang, et al.
Published: (2024)

Beyond Correctness: Benchmarking Multi-dimensional Code Generation for Large Language Models
by: Zheng, Jiasheng, et al.
Published: (2024)

Memorizing is Not Enough: Deep Knowledge Injection Through Reasoning
by: Xu, Ruoxi, et al.
Published: (2025)

Multi-Facet Counterfactual Learning for Content Quality Evaluation
by: Zheng, Jiasheng, et al.
Published: (2024)

ConsistentChat: Building Skeleton-Guided Consistent Multi-Turn Dialogues for Large Language Models from Scratch
by: Chen, Jiawei, et al.
Published: (2025)

The Life Cycle of Knowledge in Big Language Models: A Survey
by: Cao, Boxi, et al.
Published: (2023)

When Models Outthink Their Safety: Unveiling and Mitigating Self-Jailbreak in Large Reasoning Models
by: Mao, Yingzhi, et al.
Published: (2025)

Beyond Isolated Dots: Benchmarking Structured Table Construction as Deep Knowledge Extraction
by: Zhong, Tianyun, et al.
Published: (2025)

A Unified View of Delta Parameter Editing in Post-Trained Large-Scale Models
by: Tang, Qiaoyu, et al.
Published: (2024)

DeepRAG: Thinking to Retrieve Step by Step for Large Language Models
by: Guan, Xinyan, et al.
Published: (2025)

Seg2Act: Global Context-aware Action Generation for Document Logical Structuring
by: Li, Zichao, et al.
Published: (2024)

Few-shot Named Entity Recognition via Superposition Concept Discrimination
by: Chen, Jiawei, et al.
Published: (2024)

PPTAgent: Generating and Evaluating Presentations Beyond Text-to-Slides
by: Zheng, Hao, et al.
Published: (2025)

The Rise and Down of Babel Tower: Investigating the Evolution Process of Multilingual Code Large Language Model
by: Chen, Jiawei, et al.
Published: (2024)

RefCritic: Training Long Chain-of-Thought Critic Models with Refinement Feedback
by: Tang, Qiaoyu, et al.
Published: (2025)