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Collections including paper arxiv:2603.27481

Continual Learning

Online Experiential Learning for Language Models

Paper • 2603.16856 • Published Mar 17 • 60
On Token's Dilemma: Dynamic MoE with Drift-Aware Token Assignment for Continual Learning of Large Vision Language Models

Paper • 2603.27481 • Published Mar 29 • 35
Rethinking Continual Experience Internalization for Self-Evolving LLM Agents

Paper • 2606.04703 • Published 6 days ago • 21

about 17 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 780 • 99
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 40
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 98
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 89

My notification

OpenVision 3: A Family of Unified Visual Encoder for Both Understanding and Generation

Paper • 2601.15369 • Published Jan 21 • 22
Stable-DiffCoder: Pushing the Frontier of Code Diffusion Large Language Model

Paper • 2601.15892 • Published Jan 22 • 55
Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders

Paper • 2601.16208 • Published Jan 22 • 55
NAACL: Noise-AwAre Verbal Confidence Calibration for LLMs in RAG Systems

Paper • 2601.11004 • Published Jan 16 • 30

Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free

Paper • 2410.10814 • Published Oct 14, 2024 • 51
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment

Paper • 2502.16894 • Published Feb 24, 2025 • 33
Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs

Paper • 2506.14731 • Published Jun 17, 2025 • 8
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation

Paper • 2506.18349 • Published Jun 23, 2025 • 13

Continual Learning

Online Experiential Learning for Language Models

Paper • 2603.16856 • Published Mar 17 • 60
On Token's Dilemma: Dynamic MoE with Drift-Aware Token Assignment for Continual Learning of Large Vision Language Models

Paper • 2603.27481 • Published Mar 29 • 35
Rethinking Continual Experience Internalization for Self-Evolving LLM Agents

Paper • 2606.04703 • Published 6 days ago • 21

My notification

OpenVision 3: A Family of Unified Visual Encoder for Both Understanding and Generation

Paper • 2601.15369 • Published Jan 21 • 22
Stable-DiffCoder: Pushing the Frontier of Code Diffusion Large Language Model

Paper • 2601.15892 • Published Jan 22 • 55
Scaling Text-to-Image Diffusion Transformers with Representation Autoencoders

Paper • 2601.16208 • Published Jan 22 • 55
NAACL: Noise-AwAre Verbal Confidence Calibration for LLMs in RAG Systems

Paper • 2601.11004 • Published Jan 16 • 30

about 17 hours ago

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 780 • 99
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 40
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 98
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 89

Your Mixture-of-Experts LLM Is Secretly an Embedding Model For Free

Paper • 2410.10814 • Published Oct 14, 2024 • 51
Make LoRA Great Again: Boosting LoRA with Adaptive Singular Values and Mixture-of-Experts Optimization Alignment

Paper • 2502.16894 • Published Feb 24, 2025 • 33
Ring-lite: Scalable Reasoning via C3PO-Stabilized Reinforcement Learning for LLMs

Paper • 2506.14731 • Published Jun 17, 2025 • 8
SlimMoE: Structured Compression of Large MoE Models via Expert Slimming and Distillation

Paper • 2506.18349 • Published Jun 23, 2025 • 13

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