Scaling Up RL: Unlocking Diverse Reasoning in LLMs via Prolonged Training
Fuente:
arXiv
Saved in:
| Main Authors: | Liu, Mingjie, Diao, Shizhe, Hu, Jian, Lu, Ximing, Dong, Xin, Zhang, Hao, Bukharin, Alexander, Zhang, Shaokun, Zeng, Jiaqi, Sreedhar, Makesh Narsimhan, Shen, Gerald, Mosallanezhad, David, Zhang, Di, Yang, Jonas, Yang, June, Kuchaiev, Oleksii, Liu, Guilin, Yu, Zhiding, Molchanov, Pavlo, Choi, Yejin, Kautz, Jan, Dong, Yi |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
by: Liu, Mingjie, et al.
Published: (2025)
by: Liu, Mingjie, et al.
Published: (2025)
BroRL: Scaling Reinforcement Learning via Broadened Exploration
by: Hu, Jian, et al.
Published: (2025)
by: Hu, Jian, et al.
Published: (2025)
ProRL Agent: Rollout-as-a-Service for RL Training of Multi-Turn LLM Agents
by: Zhang, Hao, et al.
Published: (2026)
by: Zhang, Hao, et al.
Published: (2026)
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
by: Liu, Shih-Yang, et al.
Published: (2026)
by: Liu, Shih-Yang, et al.
Published: (2026)
HelpSteer2: Open-source dataset for training top-performing reward models
by: Wang, Zhilin, et al.
Published: (2024)
by: Wang, Zhilin, et al.
Published: (2024)
Safety Through Reasoning: An Empirical Study of Reasoning Guardrail Models
by: Sreedhar, Makesh Narsimhan, et al.
Published: (2025)
by: Sreedhar, Makesh Narsimhan, et al.
Published: (2025)
Unsupervised Extraction of Dialogue Policies from Conversations
by: Sreedhar, Makesh Narsimhan, et al.
Published: (2024)
by: Sreedhar, Makesh Narsimhan, et al.
Published: (2024)
ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge
by: Wang, Zhilin, et al.
Published: (2025)
by: Wang, Zhilin, et al.
Published: (2025)
DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning
by: Liu, Shih-Yang, et al.
Published: (2025)
by: Liu, Shih-Yang, et al.
Published: (2025)
Polar: Agentic RL on Any Harness at Scale
by: Xu, Binfeng, et al.
Published: (2026)
by: Xu, Binfeng, et al.
Published: (2026)
ToolOrchestra: Elevating Intelligence via Efficient Model and Tool Orchestration
by: Su, Hongjin, et al.
Published: (2025)
by: Su, Hongjin, et al.
Published: (2025)
Golden Goose: A Simple Trick to Synthesize Unlimited RLVR Tasks from Unverifiable Internet Text
by: Lu, Ximing, et al.
Published: (2026)
by: Lu, Ximing, et al.
Published: (2026)
Nemotron-Research-Tool-N1: Exploring Tool-Using Language Models with Reinforced Reasoning
by: Zhang, Shaokun, et al.
Published: (2025)
by: Zhang, Shaokun, et al.
Published: (2025)
CantTalkAboutThis: Aligning Language Models to Stay on Topic in Dialogues
by: Sreedhar, Makesh Narsimhan, et al.
Published: (2024)
by: Sreedhar, Makesh Narsimhan, et al.
Published: (2024)
Pluralistic Behavior Suite: Stress-Testing Multi-Turn Adherence to Custom Behavioral Policies
by: Varshney, Prasoon, et al.
Published: (2025)
by: Varshney, Prasoon, et al.
Published: (2025)
Entropy-Regularized Process Reward Model
by: Zhang, Hanning, et al.
Published: (2024)
by: Zhang, Hanning, et al.
Published: (2024)
HelpSteer2-Preference: Complementing Ratings with Preferences
by: Wang, Zhilin, et al.
Published: (2024)
by: Wang, Zhilin, et al.
Published: (2024)
Stateful Token Reduction for Long-Video Hybrid VLMs
by: Jiang, Jindong, et al.
Published: (2026)
by: Jiang, Jindong, et al.
Published: (2026)
LongMamba: Enhancing Mamba's Long Context Capabilities via Training-Free Receptive Field Enlargement
by: Ye, Zhifan, et al.
Published: (2025)
by: Ye, Zhifan, et al.
Published: (2025)
Reward-aware Preference Optimization: A Unified Mathematical Framework for Model Alignment
by: Sun, Shengyang, et al.
Published: (2025)
by: Sun, Shengyang, et al.
Published: (2025)
LITA: Language Instructed Temporal-Localization Assistant
by: Huang, De-An, et al.
Published: (2024)
by: Huang, De-An, et al.
Published: (2024)
Small Language Models are the Future of Agentic AI
by: Belcak, Peter, et al.
Published: (2025)
by: Belcak, Peter, et al.
Published: (2025)
Minifinetuning: Low-Data Generation Domain Adaptation through Corrective Self-Distillation
by: Belcak, Peter, et al.
Published: (2025)
by: Belcak, Peter, et al.
Published: (2025)
AM-RADIO: Agglomerative Vision Foundation Model -- Reduce All Domains Into One
by: Ranzinger, Mike, et al.
Published: (2023)
by: Ranzinger, Mike, et al.
Published: (2023)
Aegis2.0: A Diverse AI Safety Dataset and Risks Taxonomy for Alignment of LLM Guardrails
by: Ghosh, Shaona, et al.
Published: (2025)
by: Ghosh, Shaona, et al.
Published: (2025)
HelpSteer3-Preference: Open Human-Annotated Preference Data across Diverse Tasks and Languages
by: Wang, Zhilin, et al.
Published: (2025)
by: Wang, Zhilin, et al.
Published: (2025)
Efficient-DLM: From Autoregressive to Diffusion Language Models, and Beyond in Speed
by: Fu, Yonggan, et al.
Published: (2025)
by: Fu, Yonggan, et al.
Published: (2025)
Fast-dLLM v2: Efficient Block-Diffusion LLM
by: Wu, Chengyue, et al.
Published: (2025)
by: Wu, Chengyue, et al.
Published: (2025)
Hymba: A Hybrid-head Architecture for Small Language Models
by: Dong, Xin, et al.
Published: (2024)
by: Dong, Xin, et al.
Published: (2024)
TiDAR: Think in Diffusion, Talk in Autoregression
by: Liu, Jingyu, et al.
Published: (2025)
by: Liu, Jingyu, et al.
Published: (2025)
Nemotron-CLIMB: CLustering-based Iterative Data Mixture Bootstrapping for Language Model Pre-training
by: Diao, Shizhe, et al.
Published: (2025)
by: Diao, Shizhe, et al.
Published: (2025)
GPT vs RETRO: Exploring the Intersection of Retrieval and Parameter-Efficient Fine-Tuning
by: Ficek, Aleksander, et al.
Published: (2024)
by: Ficek, Aleksander, et al.
Published: (2024)
Tied-Lora: Enhancing parameter efficiency of LoRA with weight tying
by: Renduchintala, Adithya, et al.
Published: (2023)
by: Renduchintala, Adithya, et al.
Published: (2023)
PhyCritic: Multimodal Critic Models for Physical AI
by: Xiong, Tianyi, et al.
Published: (2026)
by: Xiong, Tianyi, et al.
Published: (2026)
The Invisible Leash: Why RLVR May or May Not Escape Its Origin
by: Wu, Fang, et al.
Published: (2025)
by: Wu, Fang, et al.
Published: (2025)
Universal Deep Research: Bring Your Own Model and Strategy
by: Belcak, Peter, et al.
Published: (2025)
by: Belcak, Peter, et al.
Published: (2025)
Adversarial Training of Reward Models
by: Bukharin, Alexander, et al.
Published: (2025)
by: Bukharin, Alexander, et al.
Published: (2025)
A deeper look at depth pruning of LLMs
by: Siddiqui, Shoaib Ahmed, et al.
Published: (2024)
by: Siddiqui, Shoaib Ahmed, et al.
Published: (2024)
Scaling RL to Long Videos
by: Chen, Yukang, et al.
Published: (2025)
by: Chen, Yukang, et al.
Published: (2025)
Agent Explorative Policy Optimization for Multimodal Agentic Reasoning
by: Kang, Minki, et al.
Published: (2026)
by: Kang, Minki, et al.
Published: (2026)
Similar Items
-
ProRL: Prolonged Reinforcement Learning Expands Reasoning Boundaries in Large Language Models
by: Liu, Mingjie, et al.
Published: (2025) -
BroRL: Scaling Reinforcement Learning via Broadened Exploration
by: Hu, Jian, et al.
Published: (2025) -
ProRL Agent: Rollout-as-a-Service for RL Training of Multi-Turn LLM Agents
by: Zhang, Hao, et al.
Published: (2026) -
GDPO: Group reward-Decoupled Normalization Policy Optimization for Multi-reward RL Optimization
by: Liu, Shih-Yang, et al.
Published: (2026) -
HelpSteer2: Open-source dataset for training top-performing reward models
by: Wang, Zhilin, et al.
Published: (2024)