-
lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 205 • 98 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 36 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 97 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 88
Collections
Discover the best community collections!
Collections including paper arxiv:2512.20144
-
Multi-hop Reasoning via Early Knowledge Alignment
Paper • 2512.20144 • Published • 6 -
Mindscape-Aware Retrieval Augmented Generation for Improved Long Context Understanding
Paper • 2512.17220 • Published • 104 -
Improving Multi-step RAG with Hypergraph-based Memory for Long-Context Complex Relational Modeling
Paper • 2512.23959 • Published • 82
-
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 39 -
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 55 -
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding
Paper • 2411.04282 • Published • 37 -
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models
Paper • 2411.14432 • Published • 25
-
Guided Self-Evolving LLMs with Minimal Human Supervision
Paper • 2512.02472 • Published • 51 -
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Paper • 2509.25454 • Published • 141 -
Video Reasoning without Training
Paper • 2510.17045 • Published • 7 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 270
-
lusxvr/nanoVLM-222M
Image-Text-to-Text • 0.2B • Updated • 205 • 98 -
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning
Paper • 2503.09516 • Published • 36 -
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time
Paper • 2505.24863 • Published • 97 -
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning
Paper • 2505.17667 • Published • 88
-
Multi-hop Reasoning via Early Knowledge Alignment
Paper • 2512.20144 • Published • 6 -
Mindscape-Aware Retrieval Augmented Generation for Improved Long Context Understanding
Paper • 2512.17220 • Published • 104 -
Improving Multi-step RAG with Hypergraph-based Memory for Long-Context Complex Relational Modeling
Paper • 2512.23959 • Published • 82
-
Guided Self-Evolving LLMs with Minimal Human Supervision
Paper • 2512.02472 • Published • 51 -
DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Monte Carlo Tree Search
Paper • 2509.25454 • Published • 141 -
Video Reasoning without Training
Paper • 2510.17045 • Published • 7 -
Agent Learning via Early Experience
Paper • 2510.08558 • Published • 270
-
Contrastive Decoding Improves Reasoning in Large Language Models
Paper • 2309.09117 • Published • 39 -
Prometheus: Inducing Fine-grained Evaluation Capability in Language Models
Paper • 2310.08491 • Published • 55 -
Language Models are Hidden Reasoners: Unlocking Latent Reasoning Capabilities via Self-Rewarding
Paper • 2411.04282 • Published • 37 -
Insight-V: Exploring Long-Chain Visual Reasoning with Multimodal Large Language Models
Paper • 2411.14432 • Published • 25