Collections
Discover the best community collections!
Collections including paper arxiv:2510.11701
-
Demystifying Reinforcement Learning in Agentic Reasoning
Paper • 2510.11701 • Published • 31 -
Self-Improving LLM Agents at Test-Time
Paper • 2510.07841 • Published • 9 -
Making Mathematical Reasoning Adaptive
Paper • 2510.04617 • Published • 22 -
DocReward: A Document Reward Model for Structuring and Stylizing
Paper • 2510.11391 • Published • 27
-
Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning
Paper • 2510.03259 • Published • 57 -
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense
Paper • 2510.07242 • Published • 30 -
First Try Matters: Revisiting the Role of Reflection in Reasoning Models
Paper • 2510.08308 • Published • 24 -
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
Paper • 2510.03222 • Published • 75
-
Open Data Synthesis For Deep Research
Paper • 2509.00375 • Published • 70 -
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training
Paper • 2509.03403 • Published • 22 -
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations
Paper • 2509.03405 • Published • 23 -
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
Paper • 2509.00930 • Published • 4
-
Universal Deep Research: Bring Your Own Model and Strategy
Paper • 2509.00244 • Published • 13 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 225 -
Efficient Multi-modal Large Language Models via Progressive Consistency Distillation
Paper • 2510.00515 • Published • 39 -
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Paper • 2509.25454 • Published • 139
-
Demystifying Reinforcement Learning in Agentic Reasoning
Paper • 2510.11701 • Published • 31 -
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts
Paper • 2510.19363 • Published • 61 -
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
Paper • 2510.25992 • Published • 44 -
Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence
Paper • 2511.07384 • Published • 16
-
OpenThoughts: Data Recipes for Reasoning Models
Paper • 2506.04178 • Published • 48 -
NEMOTRON-CROSSTHINK: Scaling Self-Learning beyond Math Reasoning
Paper • 2504.13941 • Published • 11 -
Retrieval-augmented reasoning with lean language models
Paper • 2508.11386 • Published • 5 -
Language Models that Think, Chat Better
Paper • 2509.20357 • Published
-
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 225 -
Demystifying Reinforcement Learning in Agentic Reasoning
Paper • 2510.11701 • Published • 31 -
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
Paper • 2510.16872 • Published • 104
-
Reinforcement Learning in Vision: A Survey
Paper • 2508.08189 • Published • 29 -
Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels
Paper • 2508.17437 • Published • 37 -
Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation
Paper • 2509.00428 • Published • 17 -
F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions
Paper • 2509.06951 • Published • 31
-
Demystifying Reinforcement Learning in Agentic Reasoning
Paper • 2510.11701 • Published • 31 -
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts
Paper • 2510.19363 • Published • 61 -
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning
Paper • 2510.25992 • Published • 44 -
Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence
Paper • 2511.07384 • Published • 16
-
Demystifying Reinforcement Learning in Agentic Reasoning
Paper • 2510.11701 • Published • 31 -
Self-Improving LLM Agents at Test-Time
Paper • 2510.07841 • Published • 9 -
Making Mathematical Reasoning Adaptive
Paper • 2510.04617 • Published • 22 -
DocReward: A Document Reward Model for Structuring and Stylizing
Paper • 2510.11391 • Published • 27
-
Meta-Awareness Enhances Reasoning Models: Self-Alignment Reinforcement Learning
Paper • 2510.03259 • Published • 57 -
Hybrid Reinforcement: When Reward Is Sparse, It's Better to Be Dense
Paper • 2510.07242 • Published • 30 -
First Try Matters: Revisiting the Role of Reflection in Reasoning Models
Paper • 2510.08308 • Published • 24 -
Low-probability Tokens Sustain Exploration in Reinforcement Learning with Verifiable Reward
Paper • 2510.03222 • Published • 75
-
OpenThoughts: Data Recipes for Reasoning Models
Paper • 2506.04178 • Published • 48 -
NEMOTRON-CROSSTHINK: Scaling Self-Learning beyond Math Reasoning
Paper • 2504.13941 • Published • 11 -
Retrieval-augmented reasoning with lean language models
Paper • 2508.11386 • Published • 5 -
Language Models that Think, Chat Better
Paper • 2509.20357 • Published
-
Open Data Synthesis For Deep Research
Paper • 2509.00375 • Published • 70 -
Beyond Correctness: Harmonizing Process and Outcome Rewards through RL Training
Paper • 2509.03403 • Published • 22 -
LMEnt: A Suite for Analyzing Knowledge in Language Models from Pretraining Data to Representations
Paper • 2509.03405 • Published • 23 -
SATQuest: A Verifier for Logical Reasoning Evaluation and Reinforcement Fine-Tuning of LLMs
Paper • 2509.00930 • Published • 4
-
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 225 -
Demystifying Reinforcement Learning in Agentic Reasoning
Paper • 2510.11701 • Published • 31 -
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
Paper • 2510.16872 • Published • 104
-
Universal Deep Research: Bring Your Own Model and Strategy
Paper • 2509.00244 • Published • 13 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 225 -
Efficient Multi-modal Large Language Models via Progressive Consistency Distillation
Paper • 2510.00515 • Published • 39 -
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Paper • 2509.25454 • Published • 139
-
Reinforcement Learning in Vision: A Survey
Paper • 2508.08189 • Published • 29 -
Pixie: Fast and Generalizable Supervised Learning of 3D Physics from Pixels
Paper • 2508.17437 • Published • 37 -
Mixture of Global and Local Experts with Diffusion Transformer for Controllable Face Generation
Paper • 2509.00428 • Published • 17 -
F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions
Paper • 2509.06951 • Published • 31