Cover Image

Complementary Reinforcement Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Muhtar, Dilxat, Liu, Jiashun, Gao, Wei, Wang, Weixun, Xiong, Shaopan, Huang, Ju, Yang, Siran, Su, Wenbo, Wang, Jiamang, Pan, Ling, Zheng, Bo
Format:	Preprint
Published:	2026
Subjects:	Machine Learning Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning
by: Liu, Zihe, et al.
Published: (2025)

Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm Enables Fine-Grained Policy Optimization
by: Li, Yang, et al.
Published: (2025)

RollArt: Scaling Agentic RL Training via Disaggregated Infrastructure
by: Gao, Wei, et al.
Published: (2025)

ROSE: Rollout On Serving GPUs via Cooperative Elasticity for Agentic RL
by: Gao, Wei, et al.
Published: (2026)

RollPacker: Mitigating Long-Tail Rollouts for Fast, Synchronous RL Post-Training
by: Gao, Wei, et al.
Published: (2025)

CE-RM: A Pointwise Generative Reward Model Optimized via Two-Stage Rollout and Unified Criteria
by: Hu, Xinyu, et al.
Published: (2026)

Part II: ROLL Flash -- Accelerating RLVR and Agentic Training with Asynchrony
by: Lu, Han, et al.
Published: (2025)

One Sample to Rule Them All: Extreme Data Efficiency in Multidiscipline Reasoning with Reinforcement Learning
by: Li, Yiyuan, et al.
Published: (2026)

Why Diffusion Language Models Struggle with Truly Parallel (Non-Autoregressive) Decoding?
by: Li, Pengxiang, et al.
Published: (2026)

ProgCo: Program Helps Self-Correction of Large Language Models
by: Song, Xiaoshuai, et al.
Published: (2025)

Reconstructing KV Caches with Cross-layer Fusion For Enhanced Transformers
by: Lin, Hongzhan, et al.
Published: (2025)

Think-J: Learning to Think for Generative LLM-as-a-Judge
by: Huang, Hui, et al.
Published: (2025)

When Does Sparsity Mitigate the Curse of Depth in LLMs
by: Muhtar, Dilxat, et al.
Published: (2026)

Adaptive Segment-level Reward: Bridging the Gap Between Action and Reward Space in Alignment
by: Li, Yanshi, et al.
Published: (2024)

2D-DPO: Scaling Direct Preference Optimization with 2-Dimensional Supervision
by: Li, Shilong, et al.
Published: (2024)

Diffusion Language Models Know the Answer Before Decoding
by: Li, Pengxiang, et al.
Published: (2025)

LiveThinking: Enabling Real-Time Efficient Reasoning for AI-Powered Livestreaming via Reinforcement Learning
by: Sun, Yuhan, et al.
Published: (2025)

RollMux: Phase-Level Multiplexing for Disaggregated RL Post-Training
by: Wu, Tianyuan, et al.
Published: (2025)

Can Large Language Models Detect Errors in Long Chain-of-Thought Reasoning?
by: He, Yancheng, et al.
Published: (2025)

Let It Flow: Agentic Crafting on Rock and Roll, Building the ROME Model within an Open Agentic Learning Ecosystem
by: Wang, Weixun, et al.
Published: (2025)

MTL-LoRA: Low-Rank Adaptation for Multi-Task Learning
by: Yang, Yaming, et al.
Published: (2024)

Asymmetric Proximal Policy Optimization: mini-critics boost LLM reasoning
by: Liu, Jiashun, et al.
Published: (2025)

Learning Intractable Multimodal Policies with Reparameterization and Diversity Regularization
by: Wang, Ziqi, et al.
Published: (2025)

StreamAdapter: Efficient Test Time Adaptation from Contextual Streams
by: Muhtar, Dilxat, et al.
Published: (2024)

DDK: Distilling Domain Knowledge for Efficient Large Language Models
by: Liu, Jiaheng, et al.
Published: (2024)

Reinforcement Learning Optimization for Large-Scale Learning: An Efficient and User-Friendly Scaling Library
by: Wang, Weixun, et al.
Published: (2025)

Chinese SimpleQA: A Chinese Factuality Evaluation for Large Language Models
by: He, Yancheng, et al.
Published: (2024)

D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models
by: Que, Haoran, et al.
Published: (2024)

Neuroplastic Expansion in Deep Reinforcement Learning
by: Liu, Jiashun, et al.
Published: (2024)

Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models
by: Yang, Ruichao, et al.
Published: (2024)

A Comparison of DeepSeek and Other LLMs
by: Gao, Tianchen, et al.
Published: (2025)

Demystifying Reinforcement Learning in Agentic Reasoning
by: Yu, Zhaochen, et al.
Published: (2025)

AIR: Complex Instruction Generation via Automatic Iterative Refinement
by: Liu, Wei, et al.
Published: (2025)

Co-Evolving LLM Coder and Unit Tester via Reinforcement Learning
by: Wang, Yinjie, et al.
Published: (2025)

NAN: A Training-Free Solution to Coefficient Estimation in Model Merging
by: Si, Chongjie, et al.
Published: (2025)

LHRS-Bot: Empowering Remote Sensing with VGI-Enhanced Large Multimodal Language Model
by: Muhtar, Dilxat, et al.
Published: (2024)

ECKGBench: Benchmarking Large Language Models in E-commerce Leveraging Knowledge Graph
by: Liu, Langming, et al.
Published: (2025)

Dissecting Outlier Dynamics in LLM NVFP4 Pretraining
by: Dong, Peijie, et al.
Published: (2026)

Revolutionizing Reinforcement Learning Framework for Diffusion Large Language Models
by: Wang, Yinjie, et al.
Published: (2025)

GEM: A Gym for Agentic LLMs
by: Liu, Zichen, et al.
Published: (2025)