CoRAG: Collaborative Retrieval-Augmented Generation
Paper
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2504.01883
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Published
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10
Paper
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SQL-R1: Training Natural Language to SQL Reasoning Model By Reinforcement Learning
Paper • 2504.08600 • Published • 31 -
Reasoning-SQL: Reinforcement Learning with SQL Tailored Partial Rewards for Reasoning-Enhanced Text-to-SQL
Paper • 2503.23157 • Published • 11 -
AI Agents: Evolution, Architecture, and Real-World Applications
Paper • 2503.12687 • Published • 2 -
OSUniverse: Benchmark for Multimodal GUI-navigation AI Agents
Paper • 2505.03570 • Published • 8 -
J1: Incentivizing Thinking in LLM-as-a-Judge via Reinforcement Learning
Paper • 2505.10320 • Published • 23 -
GFM-RAG: Graph Foundation Model for Retrieval Augmented Generation
Paper • 2502.01113 • Published • 5 -
From Local to Global: A Graph RAG Approach to Query-Focused Summarization
Paper • 2404.16130 • Published • 6 -
Large Language Models are Locally Linear Mappings
Paper • 2505.24293 • Published • 15 -
Lingshu: A Generalist Foundation Model for Unified Multimodal Medical Understanding and Reasoning
Paper • 2506.07044 • Published • 112 -
The Diffusion Duality
Paper • 2506.10892 • Published • 39 -
VIKI-R: Coordinating Embodied Multi-Agent Cooperation via Reinforcement Learning
Paper • 2506.09049 • Published • 36 -
OmniGen2: Exploration to Advanced Multimodal Generation
Paper • 2506.18871 • Published • 75 -
ShareGPT-4o-Image: Aligning Multimodal Models with GPT-4o-Level Image Generation
Paper • 2506.18095 • Published • 65 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 234 -
Does Math Reasoning Improve General LLM Capabilities? Understanding Transferability of LLM Reasoning
Paper • 2507.00432 • Published • 77 -
Fast and Simplex: 2-Simplicial Attention in Triton
Paper • 2507.02754 • Published • 26 -
Coding Triangle: How Does Large Language Model Understand Code?
Paper • 2507.06138 • Published • 20 -
KV Cache Steering for Inducing Reasoning in Small Language Models
Paper • 2507.08799 • Published • 40 -
MUR: Momentum Uncertainty guided Reasoning for Large Language Models
Paper • 2507.14958 • Published • 46 -
Is Chain-of-Thought Reasoning of LLMs a Mirage? A Data Distribution Lens
Paper • 2508.01191 • Published • 234 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 67 -
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 175 -
Part I: Tricks or Traps? A Deep Dive into RL for LLM Reasoning
Paper • 2508.08221 • Published • 45 -
A Comprehensive Survey of Self-Evolving AI Agents: A New Paradigm Bridging Foundation Models and Lifelong Agentic Systems
Paper • 2508.07407 • Published • 90 -
Speed Always Wins: A Survey on Efficient Architectures for Large Language Models
Paper • 2508.09834 • Published • 52 -
Provable Benefits of In-Tool Learning for Large Language Models
Paper • 2508.20755 • Published • 10 -
AWorld: Orchestrating the Training Recipe for Agentic AI
Paper • 2508.20404 • Published • 38 -
Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language Models
Paper • 2508.21365 • Published • 23 -
The Landscape of Agentic Reinforcement Learning for LLMs: A Survey
Paper • 2509.02547 • Published • 169 -
LatticeWorld: A Multimodal Large Language Model-Empowered Framework for Interactive Complex World Generation
Paper • 2509.05263 • Published • 7