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Collections including paper arxiv:2510.25992

MADD: Multi-Agent Drug Discovery Orchestra

Paper • 2511.08217 • Published 22 days ago • 55
The Station: An Open-World Environment for AI-Driven Discovery

Paper • 2511.06309 • Published 24 days ago • 35
An AI system to help scientists write expert-level empirical software

Paper • 2509.06503 • Published Sep 8 • 6
The Era of Agentic Organization: Learning to Organize with Language Models

Paper • 2510.26658 • Published Oct 30 • 26

about 1 month ago

Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Paper • 2510.25992 • Published Oct 29 • 44

The Era of Agentic Organization: Learning to Organize with Language Models

Paper • 2510.26658 • Published Oct 30 • 26
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Paper • 2510.25992 • Published Oct 29 • 44
The End of Manual Decoding: Towards Truly End-to-End Language Models

Paper • 2510.26697 • Published Oct 30 • 114

Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Paper • 2510.25992 • Published Oct 29 • 44

Reinforcement Learning

Demystifying Reinforcement Learning in Agentic Reasoning

Paper • 2510.11701 • Published Oct 13 • 31
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts

Paper • 2510.19363 • Published Oct 22 • 61
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Paper • 2510.25992 • Published Oct 29 • 44
Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence

Paper • 2511.07384 • Published 23 days ago • 16

Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Paper • 2510.25992 • Published Oct 29 • 44

Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Paper • 2510.25992 • Published Oct 29 • 44

Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Paper • 2504.20571 • Published Apr 29 • 98
One RL to See Them All: Visual Triple Unified Reinforcement Learning

Paper • 2505.18129 • Published May 23 • 60
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

Paper • 2503.16219 • Published Mar 20 • 52
Performance Trade-offs of Optimizing Small Language Models for E-Commerce

Paper • 2510.21970 • Published Oct 24 • 2

self-improvement MAS

MASPRM: Multi-Agent System Process Reward Model

Paper • 2510.24803 • Published Oct 28 • 12
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Paper • 2510.25992 • Published Oct 29 • 44
Multi-Agent Evolve: LLM Self-Improve through Co-evolution

Paper • 2510.23595 • Published Oct 27 • 10

Reasoning Papers

Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization

Paper • 2508.07629 • Published Aug 11 • 42
Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning

Paper • 2508.07101 • Published Aug 9 • 13
Compressing Chain-of-Thought in LLMs via Step Entropy

Paper • 2508.03346 • Published Aug 5 • 7
Train Long, Think Short: Curriculum Learning for Efficient Reasoning

Paper • 2508.08940 • Published Aug 12 • 27

MADD: Multi-Agent Drug Discovery Orchestra

Paper • 2511.08217 • Published 22 days ago • 55
The Station: An Open-World Environment for AI-Driven Discovery

Paper • 2511.06309 • Published 24 days ago • 35
An AI system to help scientists write expert-level empirical software

Paper • 2509.06503 • Published Sep 8 • 6
The Era of Agentic Organization: Learning to Organize with Language Models

Paper • 2510.26658 • Published Oct 30 • 26

Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Paper • 2510.25992 • Published Oct 29 • 44

about 1 month ago

Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Paper • 2510.25992 • Published Oct 29 • 44

Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Paper • 2510.25992 • Published Oct 29 • 44

The Era of Agentic Organization: Learning to Organize with Language Models

Paper • 2510.26658 • Published Oct 30 • 26
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Paper • 2510.25992 • Published Oct 29 • 44
The End of Manual Decoding: Towards Truly End-to-End Language Models

Paper • 2510.26697 • Published Oct 30 • 114

Reinforcement Learning for Reasoning in Large Language Models with One Training Example

Paper • 2504.20571 • Published Apr 29 • 98
One RL to See Them All: Visual Triple Unified Reinforcement Learning

Paper • 2505.18129 • Published May 23 • 60
Reinforcement Learning for Reasoning in Small LLMs: What Works and What Doesn't

Paper • 2503.16219 • Published Mar 20 • 52
Performance Trade-offs of Optimizing Small Language Models for E-Commerce

Paper • 2510.21970 • Published Oct 24 • 2

Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Paper • 2510.25992 • Published Oct 29 • 44

self-improvement MAS

MASPRM: Multi-Agent System Process Reward Model

Paper • 2510.24803 • Published Oct 28 • 12
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Paper • 2510.25992 • Published Oct 29 • 44
Multi-Agent Evolve: LLM Self-Improve through Co-evolution

Paper • 2510.23595 • Published Oct 27 • 10

Reinforcement Learning

Demystifying Reinforcement Learning in Agentic Reasoning

Paper • 2510.11701 • Published Oct 13 • 31
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts

Paper • 2510.19363 • Published Oct 22 • 61
Supervised Reinforcement Learning: From Expert Trajectories to Step-wise Reasoning

Paper • 2510.25992 • Published Oct 29 • 44
Teaching Pretrained Language Models to Think Deeper with Retrofitted Recurrence

Paper • 2511.07384 • Published 23 days ago • 16

Reasoning Papers

Klear-Reasoner: Advancing Reasoning Capability via Gradient-Preserving Clipping Policy Optimization

Paper • 2508.07629 • Published Aug 11 • 42
Less Is More: Training-Free Sparse Attention with Global Locality for Efficient Reasoning

Paper • 2508.07101 • Published Aug 9 • 13
Compressing Chain-of-Thought in LLMs via Step Entropy

Paper • 2508.03346 • Published Aug 5 • 7
Train Long, Think Short: Curriculum Learning for Efficient Reasoning

Paper • 2508.08940 • Published Aug 12 • 27

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