Stable and Efficient Single-Rollout RL for Multimodal Reasoning
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Rui, Yu, Dian, Ke, Lei, Liu, Haolin, Zhou, Yujun, Liang, Zhenwen, Mi, Haitao, Tokekar, Pratap, Yu, Dong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Save the Good Prefix: Precise Error Penalization via Process-Supervised RL to Enhance LLM Reasoning
by: Liu, Haolin, et al.
Published: (2026)
by: Liu, Haolin, et al.
Published: (2026)
Reinforcing Multimodal Reasoning Against Visual Degradation
by: Liu, Rui, et al.
Published: (2026)
by: Liu, Rui, et al.
Published: (2026)
DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification
by: Liu, Rui, et al.
Published: (2026)
by: Liu, Rui, et al.
Published: (2026)
Dual-Uncertainty Guided Policy Learning for Multimodal Reasoning
by: Liu, Rui, et al.
Published: (2025)
by: Liu, Rui, et al.
Published: (2025)
Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation
by: Zhou, Yujun, et al.
Published: (2025)
by: Zhou, Yujun, et al.
Published: (2025)
CLUE: Non-parametric Verification from Experience via Hidden-State Clustering
by: Liang, Zhenwen, et al.
Published: (2025)
by: Liang, Zhenwen, et al.
Published: (2025)
CDE: Curiosity-Driven Exploration for Efficient Reinforcement Learning in Large Language Models
by: Dai, Runpeng, et al.
Published: (2025)
by: Dai, Runpeng, 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)
One Token to Fool LLM-as-a-Judge
by: Zhao, Yulai, et al.
Published: (2025)
by: Zhao, Yulai, et al.
Published: (2025)
Locas: Your Models are Principled Initializers of Locally-Supported Parametric Memories
by: Lu, Sidi, et al.
Published: (2026)
by: Lu, Sidi, et al.
Published: (2026)
SIaM: Self-Improving Code-Assisted Mathematical Reasoning of Large Language Models
by: Yu, Dian, et al.
Published: (2024)
by: Yu, Dian, et al.
Published: (2024)
Crossing the Reward Bridge: Expanding RL with Verifiable Rewards Across Diverse Domains
by: Su, Yi, et al.
Published: (2025)
by: Su, Yi, et al.
Published: (2025)
Learn Beyond The Answer: Training Language Models with Reflection for Mathematical Reasoning
by: Zhang, Zhihan, et al.
Published: (2024)
by: Zhang, Zhihan, et al.
Published: (2024)
Verified Critical Step Optimization for LLM Agents
by: Li, Mukai, et al.
Published: (2026)
by: Li, Mukai, et al.
Published: (2026)
DOTS: Learning to Reason Dynamically in LLMs via Optimal Reasoning Trajectories Search
by: Yue, Murong, et al.
Published: (2024)
by: Yue, Murong, et al.
Published: (2024)
DeepMath-103K: A Large-Scale, Challenging, Decontaminated, and Verifiable Mathematical Dataset for Advancing Reasoning
by: He, Zhiwei, et al.
Published: (2025)
by: He, Zhiwei, et al.
Published: (2025)
EconProver: Towards More Economical Test-Time Scaling for Automated Theorem Proving
by: Li, Mukai, et al.
Published: (2025)
by: Li, Mukai, et al.
Published: (2025)
Sparse-RL: Breaking the Memory Wall in LLM Reinforcement Learning via Stable Sparse Rollouts
by: Luo, Sijia, et al.
Published: (2026)
by: Luo, Sijia, et al.
Published: (2026)
Guided Self-Evolving LLMs with Minimal Human Supervision
by: Yu, Wenhao, et al.
Published: (2025)
by: Yu, Wenhao, et al.
Published: (2025)
DeepTheorem: Advancing LLM Reasoning for Theorem Proving Through Natural Language and Reinforcement Learning
by: Zhang, Ziyin, et al.
Published: (2025)
by: Zhang, Ziyin, et al.
Published: (2025)
Don't Get Lost in the Trees: Streamlining LLM Reasoning by Overcoming Tree Search Exploration Pitfalls
by: Wang, Ante, et al.
Published: (2025)
by: Wang, Ante, et al.
Published: (2025)
Teaching LLMs to Refine with Tools
by: Yu, Dian, et al.
Published: (2024)
by: Yu, Dian, et al.
Published: (2024)
Scaling Synthetic Data Creation with 1,000,000,000 Personas
by: Ge, Tao, et al.
Published: (2024)
by: Ge, Tao, et al.
Published: (2024)
Every Question Has Its Own Value: Reinforcement Learning with Explicit Human Values
by: Yu, Dian, et al.
Published: (2025)
by: Yu, Dian, et al.
Published: (2025)
The Reasoning-Memorization Interplay in Language Models Is Mediated by a Single Direction
by: Hong, Yihuai, et al.
Published: (2025)
by: Hong, Yihuai, et al.
Published: (2025)
The First Few Tokens Are All You Need: An Efficient and Effective Unsupervised Prefix Fine-Tuning Method for Reasoning Models
by: Ji, Ke, et al.
Published: (2025)
by: Ji, Ke, et al.
Published: (2025)
Self-Rewarding Vision-Language Model via Reasoning Decomposition
by: Li, Zongxia, et al.
Published: (2025)
by: Li, Zongxia, et al.
Published: (2025)
MobileGUI-RL: Advancing Mobile GUI Agent through Reinforcement Learning in Online Environment
by: Shi, Yucheng, et al.
Published: (2025)
by: Shi, Yucheng, et al.
Published: (2025)
SPEC-RL: Accelerating On-Policy Reinforcement Learning with Speculative Rollouts
by: Liu, Bingshuai, et al.
Published: (2025)
by: Liu, Bingshuai, et al.
Published: (2025)
DeepCompress: A Dual Reward Strategy for Dynamically Exploring and Compressing Reasoning Chains
by: Liang, Tian, et al.
Published: (2025)
by: Liang, Tian, et al.
Published: (2025)
Dancing with Critiques: Enhancing LLM Reasoning with Stepwise Natural Language Self-Critique
by: Li, Yansi, et al.
Published: (2025)
by: Li, Yansi, et al.
Published: (2025)
Toward Self-Improvement of LLMs via Imagination, Searching, and Criticizing
by: Tian, Ye, et al.
Published: (2024)
by: Tian, Ye, et al.
Published: (2024)
Recall with Reasoning: Chain-of-Thought Distillation for Mamba's Long-Context Memory and Extrapolation
by: Ma, Junyu, et al.
Published: (2025)
by: Ma, Junyu, et al.
Published: (2025)
HDFlow: Enhancing LLM Complex Problem-Solving with Hybrid Thinking and Dynamic Workflows
by: Yao, Wenlin, et al.
Published: (2024)
by: Yao, Wenlin, et al.
Published: (2024)
Exploring Multi-Temperature Strategies for Token- and Rollout-Level Control in RLVR
by: Zhuang, Haomin, et al.
Published: (2025)
by: Zhuang, Haomin, et al.
Published: (2025)
Do NOT Think That Much for 2+3=? On the Overthinking of o1-Like LLMs
by: Chen, Xingyu, et al.
Published: (2024)
by: Chen, Xingyu, et al.
Published: (2024)
Learning to Build the Environment: Self-Evolving Reasoning RL via Verifiable Environment Synthesis
by: Shi, Yucheng, et al.
Published: (2026)
by: Shi, Yucheng, et al.
Published: (2026)
Jet-RL: Enabling On-Policy FP8 Reinforcement Learning with Unified Training and Rollout Precision Flow
by: Xi, Haocheng, et al.
Published: (2026)
by: Xi, Haocheng, et al.
Published: (2026)
SceMQA: A Scientific College Entrance Level Multimodal Question Answering Benchmark
by: Liang, Zhenwen, et al.
Published: (2024)
by: Liang, Zhenwen, et al.
Published: (2024)
Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMs
by: Wang, Yue, et al.
Published: (2025)
by: Wang, Yue, et al.
Published: (2025)
Similar Items
-
Save the Good Prefix: Precise Error Penalization via Process-Supervised RL to Enhance LLM Reasoning
by: Liu, Haolin, et al.
Published: (2026) -
Reinforcing Multimodal Reasoning Against Visual Degradation
by: Liu, Rui, et al.
Published: (2026) -
DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification
by: Liu, Rui, et al.
Published: (2026) -
Dual-Uncertainty Guided Policy Learning for Multimodal Reasoning
by: Liu, Rui, et al.
Published: (2025) -
Evolving Language Models without Labels: Majority Drives Selection, Novelty Promotes Variation
by: Zhou, Yujun, et al.
Published: (2025)