-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
Collections
Discover the best community collections!
Collections including paper arxiv:2507.06261
-
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 192 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 242 -
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Paper • 2507.06261 • Published • 64 -
SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment
Paper • 2507.20984 • Published • 56
-
Neural-Driven Image Editing
Paper • 2507.05397 • Published • 26 -
π^3: Scalable Permutation-Equivariant Visual Geometry Learning
Paper • 2507.13347 • Published • 64 -
MoVieS: Motion-Aware 4D Dynamic View Synthesis in One Second
Paper • 2507.10065 • Published • 24 -
From One to More: Contextual Part Latents for 3D Generation
Paper • 2507.08772 • Published • 25
-
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 192 -
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
Paper • 2508.14444 • Published • 38 -
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Paper • 2507.06261 • Published • 64 -
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
Paper • 2506.13585 • Published • 272
-
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 259 -
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 157 -
4KAgent: Agentic Any Image to 4K Super-Resolution
Paper • 2507.07105 • Published • 105 -
A Survey on Latent Reasoning
Paper • 2507.06203 • Published • 93
-
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
Paper • 2504.08066 • Published • 15 -
From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review
Paper • 2504.19678 • Published • 3 -
AIGS: Generating Science from AI-Powered Automated Falsification
Paper • 2411.11910 • Published -
AgentRxiv: Towards Collaborative Autonomous Research
Paper • 2503.18102 • Published • 25
-
Test-Time Scaling with Reflective Generative Model
Paper • 2507.01951 • Published • 107 -
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Paper • 2507.06261 • Published • 64 -
Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model
Paper • 2510.18855 • Published • 71
-
Can Large Language Models Understand Context?
Paper • 2402.00858 • Published • 23 -
OLMo: Accelerating the Science of Language Models
Paper • 2402.00838 • Published • 85 -
Self-Rewarding Language Models
Paper • 2401.10020 • Published • 151 -
SemScore: Automated Evaluation of Instruction-Tuned LLMs based on Semantic Textual Similarity
Paper • 2401.17072 • Published • 25
-
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 192 -
NVIDIA Nemotron Nano 2: An Accurate and Efficient Hybrid Mamba-Transformer Reasoning Model
Paper • 2508.14444 • Published • 38 -
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Paper • 2507.06261 • Published • 64 -
MiniMax-M1: Scaling Test-Time Compute Efficiently with Lightning Attention
Paper • 2506.13585 • Published • 272
-
GLM-4.5: Agentic, Reasoning, and Coding (ARC) Foundation Models
Paper • 2508.06471 • Published • 192 -
GLM-4.1V-Thinking: Towards Versatile Multimodal Reasoning with Scalable Reinforcement Learning
Paper • 2507.01006 • Published • 242 -
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Paper • 2507.06261 • Published • 64 -
SmallThinker: A Family of Efficient Large Language Models Natively Trained for Local Deployment
Paper • 2507.20984 • Published • 56
-
A Survey of Context Engineering for Large Language Models
Paper • 2507.13334 • Published • 259 -
MemOS: A Memory OS for AI System
Paper • 2507.03724 • Published • 157 -
4KAgent: Agentic Any Image to 4K Super-Resolution
Paper • 2507.07105 • Published • 105 -
A Survey on Latent Reasoning
Paper • 2507.06203 • Published • 93
-
Neural-Driven Image Editing
Paper • 2507.05397 • Published • 26 -
π^3: Scalable Permutation-Equivariant Visual Geometry Learning
Paper • 2507.13347 • Published • 64 -
MoVieS: Motion-Aware 4D Dynamic View Synthesis in One Second
Paper • 2507.10065 • Published • 24 -
From One to More: Contextual Part Latents for 3D Generation
Paper • 2507.08772 • Published • 25
-
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
Paper • 2504.08066 • Published • 15 -
From LLM Reasoning to Autonomous AI Agents: A Comprehensive Review
Paper • 2504.19678 • Published • 3 -
AIGS: Generating Science from AI-Powered Automated Falsification
Paper • 2411.11910 • Published -
AgentRxiv: Towards Collaborative Autonomous Research
Paper • 2503.18102 • Published • 25
-
Test-Time Scaling with Reflective Generative Model
Paper • 2507.01951 • Published • 107 -
Gemini 2.5: Pushing the Frontier with Advanced Reasoning, Multimodality, Long Context, and Next Generation Agentic Capabilities
Paper • 2507.06261 • Published • 64 -
Every Step Evolves: Scaling Reinforcement Learning for Trillion-Scale Thinking Model
Paper • 2510.18855 • Published • 71