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Collections including paper arxiv:2510.12323

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 189 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 88

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Paper • 2401.08406 • Published Jan 16, 2024 • 37
RAG-Anything: All-in-One RAG Framework

Paper • 2510.12323 • Published Oct 14, 2025 • 54
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation

Paper • 2408.02545 • Published Aug 5, 2024 • 38

Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5, 2025 • 122
RAG-Anything: All-in-One RAG Framework

Paper • 2510.12323 • Published Oct 14, 2025 • 54

RAG-Based_model

RAG-Anything: All-in-One RAG Framework

Paper • 2510.12323 • Published Oct 14, 2025 • 54

RAG-Anything: All-in-One RAG Framework

Paper • 2510.12323 • Published Oct 14, 2025 • 54

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published Nov 23, 2025 • 282
RAG-Anything: All-in-One RAG Framework

Paper • 2510.12323 • Published Oct 14, 2025 • 54
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 78
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Paper • 2308.00436 • Published Aug 1, 2023 • 23

O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents

Paper • 2511.13593 • Published Nov 17, 2025 • 25
OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientists

Paper • 2511.16931 • Published Nov 21, 2025 • 7
General Agentic Memory Via Deep Research

Paper • 2511.18423 • Published Nov 23, 2025 • 161
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling

Paper • 2511.11793 • Published Nov 14, 2025 • 165

RAG-Anything: All-in-One RAG Framework

Paper • 2510.12323 • Published Oct 14, 2025 • 54

Towards General Agentic Intelligence via Environment Scaling

Paper • 2509.13311 • Published Sep 16, 2025 • 71
Establishing Best Practices for Building Rigorous Agentic Benchmarks

Paper • 2507.02825 • Published Jul 3, 2025 • 1
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts

Paper • 2510.19363 • Published Oct 22, 2025 • 61
ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge

Paper • 2510.18941 • Published Oct 21, 2025 • 7

RAG-Anything: All-in-One RAG Framework

Paper • 2510.12323 • Published Oct 14, 2025 • 54

lusxvr/nanoVLM-222M

Image-Text-to-Text • 0.2B • Updated May 8, 2025 • 189 • 98
Search-R1: Training LLMs to Reason and Leverage Search Engines with Reinforcement Learning

Paper • 2503.09516 • Published Mar 12, 2025 • 36
AlphaOne: Reasoning Models Thinking Slow and Fast at Test Time

Paper • 2505.24863 • Published May 30, 2025 • 97
QwenLong-L1: Towards Long-Context Large Reasoning Models with Reinforcement Learning

Paper • 2505.17667 • Published May 23, 2025 • 88

From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published Nov 23, 2025 • 282
RAG-Anything: All-in-One RAG Framework

Paper • 2510.12323 • Published Oct 14, 2025 • 54
Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflection

Paper • 2310.11511 • Published Oct 17, 2023 • 78
SelfCheck: Using LLMs to Zero-Shot Check Their Own Step-by-Step Reasoning

Paper • 2308.00436 • Published Aug 1, 2023 • 23

RAG vs Fine-tuning: Pipelines, Tradeoffs, and a Case Study on Agriculture

Paper • 2401.08406 • Published Jan 16, 2024 • 37
RAG-Anything: All-in-One RAG Framework

Paper • 2510.12323 • Published Oct 14, 2025 • 54
RAG Foundry: A Framework for Enhancing LLMs for Retrieval Augmented Generation

Paper • 2408.02545 • Published Aug 5, 2024 • 38

O-Mem: Omni Memory System for Personalized, Long Horizon, Self-Evolving Agents

Paper • 2511.13593 • Published Nov 17, 2025 • 25
OmniScientist: Toward a Co-evolving Ecosystem of Human and AI Scientists

Paper • 2511.16931 • Published Nov 21, 2025 • 7
General Agentic Memory Via Deep Research

Paper • 2511.18423 • Published Nov 23, 2025 • 161
MiroThinker: Pushing the Performance Boundaries of Open-Source Research Agents via Model, Context, and Interactive Scaling

Paper • 2511.11793 • Published Nov 14, 2025 • 165

Agent Lightning: Train ANY AI Agents with Reinforcement Learning

Paper • 2508.03680 • Published Aug 5, 2025 • 122
RAG-Anything: All-in-One RAG Framework

Paper • 2510.12323 • Published Oct 14, 2025 • 54

RAG-Anything: All-in-One RAG Framework

Paper • 2510.12323 • Published Oct 14, 2025 • 54

RAG-Based_model

RAG-Anything: All-in-One RAG Framework

Paper • 2510.12323 • Published Oct 14, 2025 • 54

Towards General Agentic Intelligence via Environment Scaling

Paper • 2509.13311 • Published Sep 16, 2025 • 71
Establishing Best Practices for Building Rigorous Agentic Benchmarks

Paper • 2507.02825 • Published Jul 3, 2025 • 1
LoongRL:Reinforcement Learning for Advanced Reasoning over Long Contexts

Paper • 2510.19363 • Published Oct 22, 2025 • 61
ProfBench: Multi-Domain Rubrics requiring Professional Knowledge to Answer and Judge

Paper • 2510.18941 • Published Oct 21, 2025 • 7

RAG-Anything: All-in-One RAG Framework

Paper • 2510.12323 • Published Oct 14, 2025 • 54

RAG-Anything: All-in-One RAG Framework

Paper • 2510.12323 • Published Oct 14, 2025 • 54

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