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Collections including paper arxiv:2603.28088

about 15 hours ago

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team

Paper • 2506.14234 • Published Jun 17, 2025 • 41
MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models

Paper • 2506.14435 • Published Jun 17, 2025 • 7
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Paper • 2504.19413 • Published Apr 28, 2025 • 58
MemOS: A Memory OS for AI System

Paper • 2507.03724 • Published Jul 4, 2025 • 167

More baout Agent skills, memory or optimizations

GEMS: Agent-Native Multimodal Generation with Memory and Skills

Paper • 2603.28088 • Published Mar 30 • 86

VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks

Paper • 2401.13649 • Published Jan 24, 2024 • 1
Cubic Discrete Diffusion: Discrete Visual Generation on High-Dimensional Representation Tokens

Paper • 2603.19232 • Published Mar 19 • 33
Running

Agents

123

infini-gram

📖

123

Search and analyze n-grams in large datasets
FASTER: Rethinking Real-Time Flow VLAs

Paper • 2603.19199 • Published Mar 19 • 59

dLLM: Simple Diffusion Language Modeling

Paper • 2602.22661 • Published Feb 26 • 153
OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data

Paper • 2603.15594 • Published Mar 16 • 150
Qianfan-OCR: A Unified End-to-End Model for Document Intelligence

Paper • 2603.13398 • Published Mar 11 • 155
Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders

Paper • 2603.06569 • Published Mar 6 • 120

Agentic Reasoning for Large Language Models

Paper • 2601.12538 • Published Jan 18 • 204
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published Nov 23, 2025 • 304
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 276
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger

Paper • 2602.08222 • Published Feb 9 • 290

GEMS: Agent-Native Multimodal Generation with Memory and Skills

Paper • 2603.28088 • Published Mar 30 • 86

GEMS: Agent-Native Multimodal Generation with Memory and Skills

Paper • 2603.28088 • Published Mar 30 • 86

From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents

Paper • 2603.22386 • Published Mar 23 • 57
GEMS: Agent-Native Multimodal Generation with Memory and Skills

Paper • 2603.28088 • Published Mar 30 • 86

Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models

Paper • 2601.22060 • Published Jan 29 • 155
Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models

Paper • 2602.02185 • Published Feb 2 • 118
SpecEyes: Accelerating Agentic Multimodal LLMs via Speculative Perception and Planning

Paper • 2603.23483 • Published Mar 24 • 63
WorldAgents: Can Foundation Image Models be Agents for 3D World Models?

Paper • 2603.19708 • Published Mar 20 • 13

Towards Scalable Pre-training of Visual Tokenizers for Generation

Paper • 2512.13687 • Published Dec 15, 2025 • 108
MMGR: Multi-Modal Generative Reasoning

Paper • 2512.14691 • Published Dec 16, 2025 • 121
Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss

Paper • 2512.23447 • Published Dec 29, 2025 • 99
LiveTalk: Real-Time Multimodal Interactive Video Diffusion via Improved On-Policy Distillation

Paper • 2512.23576 • Published Dec 29, 2025 • 66

about 15 hours ago

Xolver: Multi-Agent Reasoning with Holistic Experience Learning Just Like an Olympiad Team

Paper • 2506.14234 • Published Jun 17, 2025 • 41
MoTE: Mixture of Ternary Experts for Memory-efficient Large Multimodal Models

Paper • 2506.14435 • Published Jun 17, 2025 • 7
Mem0: Building Production-Ready AI Agents with Scalable Long-Term Memory

Paper • 2504.19413 • Published Apr 28, 2025 • 58
MemOS: A Memory OS for AI System

Paper • 2507.03724 • Published Jul 4, 2025 • 167

GEMS: Agent-Native Multimodal Generation with Memory and Skills

Paper • 2603.28088 • Published Mar 30 • 86

More baout Agent skills, memory or optimizations

GEMS: Agent-Native Multimodal Generation with Memory and Skills

Paper • 2603.28088 • Published Mar 30 • 86

GEMS: Agent-Native Multimodal Generation with Memory and Skills

Paper • 2603.28088 • Published Mar 30 • 86

VisualWebArena: Evaluating Multimodal Agents on Realistic Visual Web Tasks

Paper • 2401.13649 • Published Jan 24, 2024 • 1
Cubic Discrete Diffusion: Discrete Visual Generation on High-Dimensional Representation Tokens

Paper • 2603.19232 • Published Mar 19 • 33
Running

Agents

123

infini-gram

📖

123

Search and analyze n-grams in large datasets
FASTER: Rethinking Real-Time Flow VLAs

Paper • 2603.19199 • Published Mar 19 • 59

From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents

Paper • 2603.22386 • Published Mar 23 • 57
GEMS: Agent-Native Multimodal Generation with Memory and Skills

Paper • 2603.28088 • Published Mar 30 • 86

dLLM: Simple Diffusion Language Modeling

Paper • 2602.22661 • Published Feb 26 • 153
OpenSeeker: Democratizing Frontier Search Agents by Fully Open-Sourcing Training Data

Paper • 2603.15594 • Published Mar 16 • 150
Qianfan-OCR: A Unified End-to-End Model for Document Intelligence

Paper • 2603.13398 • Published Mar 11 • 155
Penguin-VL: Exploring the Efficiency Limits of VLM with LLM-based Vision Encoders

Paper • 2603.06569 • Published Mar 6 • 120

Vision-DeepResearch: Incentivizing DeepResearch Capability in Multimodal Large Language Models

Paper • 2601.22060 • Published Jan 29 • 155
Vision-DeepResearch Benchmark: Rethinking Visual and Textual Search for Multimodal Large Language Models

Paper • 2602.02185 • Published Feb 2 • 118
SpecEyes: Accelerating Agentic Multimodal LLMs via Speculative Perception and Planning

Paper • 2603.23483 • Published Mar 24 • 63
WorldAgents: Can Foundation Image Models be Agents for 3D World Models?

Paper • 2603.19708 • Published Mar 20 • 13

Agentic Reasoning for Large Language Models

Paper • 2601.12538 • Published Jan 18 • 204
From Code Foundation Models to Agents and Applications: A Practical Guide to Code Intelligence

Paper • 2511.18538 • Published Nov 23, 2025 • 304
Agent Learning via Early Experience

Paper • 2510.08558 • Published Oct 9, 2025 • 276
Weak-Driven Learning: How Weak Agents make Strong Agents Stronger

Paper • 2602.08222 • Published Feb 9 • 290

Towards Scalable Pre-training of Visual Tokenizers for Generation

Paper • 2512.13687 • Published Dec 15, 2025 • 108
MMGR: Multi-Modal Generative Reasoning

Paper • 2512.14691 • Published Dec 16, 2025 • 121
Coupling Experts and Routers in Mixture-of-Experts via an Auxiliary Loss

Paper • 2512.23447 • Published Dec 29, 2025 • 99
LiveTalk: Real-Time Multimodal Interactive Video Diffusion via Improved On-Policy Distillation

Paper • 2512.23576 • Published Dec 29, 2025 • 66

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