Copertina

Resource-Efficient Reinforcement for Reasoning Large Language Models via Dynamic One-Shot Policy Refinement

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Zhang, Yunjian, Wang, Sudong, Li, Yang, Xu, Peiran, Zhou, Conghao, Ma, Xiaoyue, Li, Jianing, Zhu, Yao
Natura:	Preprint
Pubblicazione:	2026
Soggetti:	Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

SpatialBench: Benchmarking Multimodal Large Language Models for Spatial Cognition
di: Xu, Peiran, et al.
Pubblicazione: (2025)

Towards Understanding How Knowledge Evolves in Large Vision-Language Models
di: Wang, Sudong, et al.
Pubblicazione: (2025)

Mitigating Hallucinations in Large Vision-Language Models via DPO: On-Policy Data Hold the Key
di: Yang, Zhihe, et al.
Pubblicazione: (2025)

One Refiner to Unlock Them All: Inference-Time Reasoning Elicitation via Reinforcement Query Refinement
di: Zhou, Yixiao, et al.
Pubblicazione: (2026)

Beyond SFT-to-RL: Pre-alignment via Black-Box On-Policy Distillation for Multimodal RL
di: Wang, Sudong, et al.
Pubblicazione: (2026)

LEAD: Length-Efficient Adaptive and Dynamic Reasoning for Large Language Models
di: Wei, Songtao, et al.
Pubblicazione: (2026)

EventGPT: Event Stream Understanding with Multimodal Large Language Models
di: Liu, Shaoyu, et al.
Pubblicazione: (2024)

Can Graph-Based Microservice Performance Detection Be Used for Microservice Intrusion Detection?
di: Ma, Yunjian
Pubblicazione: (2026)

Elastic Motion Policy: An Adaptive Dynamical System for Robust and Efficient One-Shot Imitation Learning
di: Li, Tianyu, et al.
Pubblicazione: (2025)

Question Answering for Decisionmaking in Green Building Design: A Multimodal Data Reasoning Method Driven by Large Language Models
di: Li, Yihui, et al.
Pubblicazione: (2024)

EventFlash: Towards Efficient MLLMs for Event-Based Vision
di: Liu, Shaoyu, et al.
Pubblicazione: (2026)

Unsupervised Domain Adaptive Lane Detection via Contextual Contrast and Aggregation
di: Zhou, Kunyang, et al.
Pubblicazione: (2024)

Efficient Deployment of Large Language Models on Resource-constrained Devices
di: Yao, Zhiwei, et al.
Pubblicazione: (2025)

DeepInception: Hypnotize Large Language Model to Be Jailbreaker
di: Li, Xuan, et al.
Pubblicazione: (2023)

Hawkeye:Efficient Reasoning with Model Collaboration
di: She, Jianshu, et al.
Pubblicazione: (2025)

Co-rewarding: Stable Self-supervised RL for Eliciting Reasoning in Large Language Models
di: Zhang, Zizhuo, et al.
Pubblicazione: (2025)

Mechanistic Diagnostics of Spatial Lexical Bias in Multimodal Large Language Model Spatial Reasoning
di: Ma, Chuang, et al.
Pubblicazione: (2026)

Zero-Shot Human Mobility Forecasting via Large Language Model with Hierarchical Reasoning
di: Li, Wenyao, et al.
Pubblicazione: (2025)

OThink-SRR1: Search, Refine and Reasoning with Reinforced Learning for Large Language Models
di: Liang, Haijian, et al.
Pubblicazione: (2026)

Truncated Rectified Flow Policy for Reinforcement Learning with One-Step Sampling
di: Zhou, Xubin, et al.
Pubblicazione: (2026)

Agglomeration Economies and Intergovernmental Cooperation in Productive Disaster Management Expenditure
di: Sudong Kim
Pubblicazione: (2026)

Multi-chain Graph Refinement and Selection for Reliable Reasoning in Large Language Models
di: Yang, Yujiao, et al.
Pubblicazione: (2025)

DreaMontage: Arbitrary Frame-Guided One-Shot Video Generation
di: Liu, Jiawei, et al.
Pubblicazione: (2025)

EventBench: Towards Comprehensive Benchmarking of Event-based MLLMs
di: Liu, Shaoyu, et al.
Pubblicazione: (2025)

Recognition through Reasoning: Reinforcing Image Geo-localization with Large Vision-Language Models
di: Li, Ling, et al.
Pubblicazione: (2025)

One-Shot Safety Alignment for Large Language Models via Optimal Dualization
di: Huang, Xinmeng, et al.
Pubblicazione: (2024)

One-Shot Learning as Instruction Data Prospector for Large Language Models
di: Li, Yunshui, et al.
Pubblicazione: (2023)

LIMOPro: Reasoning Refinement for Efficient and Effective Test-time Scaling
di: Xiao, Yang, et al.
Pubblicazione: (2025)

Reinforcement Learning for Reasoning in Large Language Models with One Training Example
di: Wang, Yiping, et al.
Pubblicazione: (2025)

Pruning as a Cooperative Game: Surrogate-Assisted Layer Contribution Estimation for Large Language Models
di: Ding, Xuan, et al.
Pubblicazione: (2026)

Training Large Language Models to Reason via EM Policy Gradient
di: Xu, Tianbing
Pubblicazione: (2025)

Efficient Post-Training Refinement of Latent Reasoning in Large Language Models
di: Wang, Xinyuan, et al.
Pubblicazione: (2025)

Off-Policy Value-Based Reinforcement Learning for Large Language Models
di: Wang, Peng-Yuan, et al.
Pubblicazione: (2026)

Self-Polish: Enhance Reasoning in Large Language Models via Problem Refinement
di: Xi, Zhiheng, et al.
Pubblicazione: (2023)

DRARL: Disengagement-Reason-Augmented Reinforcement Learning for Efficient Improvement of Autonomous Driving Policy
di: Zhou, Weitao, et al.
Pubblicazione: (2025)

Stepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models
di: Cui, Yingqian, et al.
Pubblicazione: (2025)

Global Prompt Refinement with Non-Interfering Attention Masking for One-Shot Federated Learning
di: Qi, Zhuang, et al.
Pubblicazione: (2025)

Dynamic Containerized Modular Capacity Planning and Resource Allocation in Hyperconnected Supply Chain Ecosystems
di: Liu, Xiaoyue, et al.
Pubblicazione: (2025)

Reasoning-preserved Efficient Distillation of Large Language Models via Activation-aware Initialization
di: He, Junlin, et al.
Pubblicazione: (2026)

Route-and-Reason: Scaling Large Language Model Reasoning with Reinforced Model Router
di: Shao, Chenyang, et al.
Pubblicazione: (2025)