Parallel-R1: Towards Parallel Thinking via Reinforcement Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Zheng, Tong, Zhang, Hongming, Yu, Wenhao, Wang, Xiaoyang, Dai, Runpeng, Liu, Rui, Bao, Huiwen, Huang, Chengsong, Huang, Heng, Yu, Dong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Parallel-Probe: Towards Efficient Parallel Thinking via 2D Probing
by: Zheng, Tong, et al.
Published: (2026)
by: Zheng, Tong, et al.
Published: (2026)
LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling
by: Zheng, Tong, et al.
Published: (2026)
by: Zheng, Tong, et al.
Published: (2026)
R-Zero: Self-Evolving Reasoning LLM from Zero Data
by: Huang, Chengsong, et al.
Published: (2025)
by: Huang, Chengsong, et al.
Published: (2025)
R1-RE: Cross-Domain Relation Extraction with RLVR
by: Dai, Runpeng, et al.
Published: (2025)
by: Dai, Runpeng, et al.
Published: (2025)
Native Parallel Reasoner: Reasoning in Parallelism via Self-Distilled Reinforcement Learning
by: Wu, Tong, et al.
Published: (2025)
by: Wu, Tong, et al.
Published: (2025)
ParallelSpec: Parallel Drafter for Efficient Speculative Decoding
by: Xiao, Zilin, et al.
Published: (2024)
by: Xiao, Zilin, et al.
Published: (2024)
G-Zero: Self-Play for Open-Ended Generation from Zero Data
by: Huang, Chengsong, et al.
Published: (2026)
by: Huang, Chengsong, et al.
Published: (2026)
Asymmetric Conflict and Synergy in Post-training for LLM-based Multilingual Machine Translation
by: Zheng, Tong, et al.
Published: (2025)
by: Zheng, Tong, et al.
Published: (2025)
Dual-Uncertainty Guided Policy Learning for Multimodal Reasoning
by: Liu, Rui, et al.
Published: (2025)
by: Liu, Rui, 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)
OpenCharacter: Training Customizable Role-Playing LLMs with Large-Scale Synthetic Personas
by: Wang, Xiaoyang, et al.
Published: (2025)
by: Wang, Xiaoyang, et al.
Published: (2025)
Reinforcing Multimodal Reasoning Against Visual Degradation
by: Liu, Rui, et al.
Published: (2026)
by: Liu, Rui, et al.
Published: (2026)
Thinking with Map: Reinforced Parallel Map-Augmented Agent for Geolocalization
by: Ji, Yuxiang, et al.
Published: (2026)
by: Ji, Yuxiang, et al.
Published: (2026)
Learning to Parallel: Accelerating Diffusion Large Language Models via Learnable Parallel Decoding
by: Bao, Wenrui, et al.
Published: (2025)
by: Bao, Wenrui, et al.
Published: (2025)
RelayLLM: Efficient Reasoning via Collaborative Decoding
by: Huang, Chengsong, et al.
Published: (2026)
by: Huang, Chengsong, et al.
Published: (2026)
Attention Entropy is a Key Factor: An Analysis of Parallel Context Encoding with Full-attention-based Pre-trained Language Models
by: Zhang, Zhisong, et al.
Published: (2024)
by: Zhang, Zhisong, et al.
Published: (2024)
Towards Hyper-Efficient RAG Systems in VecDBs: Distributed Parallel Multi-Resolution Vector Search
by: Liu, Dong, et al.
Published: (2025)
by: Liu, Dong, et al.
Published: (2025)
ParallelMuse: Agentic Parallel Thinking for Deep Information Seeking
by: Li, Baixuan, et al.
Published: (2025)
by: Li, Baixuan, 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)
Guided Self-Evolving LLMs with Minimal Human Supervision
by: Yu, Wenhao, et al.
Published: (2025)
by: Yu, Wenhao, et al.
Published: (2025)
ParallelSearch: Train your LLMs to Decompose Query and Search Sub-queries in Parallel with Reinforcement Learning
by: Zhao, Shu, et al.
Published: (2025)
by: Zhao, Shu, et al.
Published: (2025)
DeltaRubric: Generative Multimodal Reward Modeling via Joint Planning and Verification
by: Liu, Rui, et al.
Published: (2026)
by: Liu, Rui, et al.
Published: (2026)
DSBench: How Far Are Data Science Agents from Becoming Data Science Experts?
by: Jing, Liqiang, et al.
Published: (2024)
by: Jing, Liqiang, et al.
Published: (2024)
Divide, Reweight, and Conquer: A Logit Arithmetic Approach for In-Context Learning
by: Huang, Chengsong, et al.
Published: (2024)
by: Huang, Chengsong, et al.
Published: (2024)
On the Overscaling Curse of Parallel Thinking: System Efficacy Contradicts Sample Efficiency
by: Wang, Yiming, et al.
Published: (2026)
by: Wang, Yiming, et al.
Published: (2026)
dParallel: Learnable Parallel Decoding for dLLMs
by: Chen, Zigeng, et al.
Published: (2025)
by: Chen, Zigeng, et al.
Published: (2025)
Trans-Zero: Self-Play Incentivizes Large Language Models for Multilingual Translation Without Parallel Data
by: Zou, Wei, et al.
Published: (2025)
by: Zou, Wei, et al.
Published: (2025)
AdaptR1: Reinforcement Learning Based Adaptive Interleaved Thinking in Multi-hop Question Answering
by: Wang, Yuxin, et al.
Published: (2026)
by: Wang, Yuxin, et al.
Published: (2026)
ParaICL: Towards Parallel In-Context Learning
by: Li, Xingxuan, et al.
Published: (2024)
by: Li, Xingxuan, et al.
Published: (2024)
You Only Need Minimal RLVR Training: Extrapolating LLMs via Rank-1 Trajectories
by: Wei, Zhepei, et al.
Published: (2026)
by: Wei, Zhepei, et al.
Published: (2026)
Accelerate Parallelizable Reasoning via Parallel Decoding within One Sequence
by: Yu, Yijiong
Published: (2025)
by: Yu, Yijiong
Published: (2025)
EIT: Enhanced Interactive Transformer
by: Zheng, Tong, et al.
Published: (2022)
by: Zheng, Tong, et al.
Published: (2022)
Linear Attention Sequence Parallelism
by: Sun, Weigao, et al.
Published: (2024)
by: Sun, Weigao, et al.
Published: (2024)
Efficient Test-Time Scaling via Self-Calibration
by: Huang, Chengsong, et al.
Published: (2025)
by: Huang, Chengsong, et al.
Published: (2025)
P-MMEval: A Parallel Multilingual Multitask Benchmark for Consistent Evaluation of LLMs
by: Zhang, Yidan, et al.
Published: (2024)
by: Zhang, Yidan, et al.
Published: (2024)
Veri-R1: Toward Precise and Faithful Claim Verification via Online Reinforcement Learning
by: He, Qi, et al.
Published: (2025)
by: He, Qi, et al.
Published: (2025)
A2R: An Asymmetric Two-Stage Reasoning Framework for Parallel Reasoning
by: Wang, Ziqi, et al.
Published: (2025)
by: Wang, Ziqi, et al.
Published: (2025)
Scaling Reasoning Tokens via RL and Parallel Thinking: Evidence From Competitive Programming
by: Zhang, Qianfan, et al.
Published: (2026)
by: Zhang, Qianfan, et al.
Published: (2026)
Fleming-R1: Toward Expert-Level Medical Reasoning via Reinforcement Learning
by: Liu, Chi, et al.
Published: (2025)
by: Liu, Chi, et al.
Published: (2025)
A Survey on Parallel Reasoning
by: Wang, Ziqi, et al.
Published: (2025)
by: Wang, Ziqi, et al.
Published: (2025)
Similar Items
-
Parallel-Probe: Towards Efficient Parallel Thinking via 2D Probing
by: Zheng, Tong, et al.
Published: (2026) -
LLMs Improving LLMs: Agentic Discovery for Test-Time Scaling
by: Zheng, Tong, et al.
Published: (2026) -
R-Zero: Self-Evolving Reasoning LLM from Zero Data
by: Huang, Chengsong, et al.
Published: (2025) -
R1-RE: Cross-Domain Relation Extraction with RLVR
by: Dai, Runpeng, et al.
Published: (2025) -
Native Parallel Reasoner: Reasoning in Parallelism via Self-Distilled Reinforcement Learning
by: Wu, Tong, et al.
Published: (2025)