Collection by 
Jan 24
Collections
Discover the best community collections!
Collections including paper arxiv:2510.21618
Collection by 
Nov 13, 2025
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DeepAgent: A General Reasoning Agent with Scalable Toolsets
Paper • 2510.21618 • Published • 103 -
A Survey of Data Agents: Emerging Paradigm or Overstated Hype?
Paper • 2510.23587 • Published • 67 -
Tongyi DeepResearch Technical Report
Paper • 2510.24701 • Published • 103 -
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
Paper • 2510.16872 • Published • 112
Collection by 
Nov 8, 2025
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TradingAgents: Multi-Agents LLM Financial Trading Framework
Paper • 2412.20138 • Published • 47 -
MinerU: An Open-Source Solution for Precise Document Content Extraction
Paper • 2409.18839 • Published • 41 -
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
Paper • 2509.22186 • Published • 160 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 140
Collection by 
Oct 28, 2025
Collection by 
Mar 4
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Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 20 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
Collection by 
Jan 6
Collection by 
Dec 11, 2025
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Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment
Paper • 2505.10597 • Published -
COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values
Paper • 2504.05535 • Published • 44 -
nvidia/HelpSteer3
Viewer • Updated • 133k • 4.52k • 106 -
nvidia/Nemotron-RL-instruction_following
Preview • Updated • 298 • 15
Collection by 
Oct 31, 2025
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Emu3.5: Native Multimodal Models are World Learners
Paper • 2510.26583 • Published • 114 -
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
Paper • 2510.20479 • Published • 12 -
A Definition of AGI
Paper • 2510.18212 • Published • 36 -
Video-As-Prompt: Unified Semantic Control for Video Generation
Paper • 2510.20888 • Published • 50
Collection by 
Oct 27, 2025
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HoloScene: Simulation-Ready Interactive 3D Worlds from a Single Video
Paper • 2510.05560 • Published • 8 -
TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning
Paper • 2510.06217 • Published • 67 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 513 -
Fast-dLLM v2: Efficient Block-Diffusion LLM
Paper • 2509.26328 • Published • 58
Collection by 
Mar 18
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GUI-G^2: Gaussian Reward Modeling for GUI Grounding
Paper • 2507.15846 • Published • 135 -
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
Paper • 2508.05748 • Published • 142 -
Mobile-Agent-v3: Foundamental Agents for GUI Automation
Paper • 2508.15144 • Published • 65 -
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 162
Collection by Jan 24
Collection by Jan 6
Collection by Nov 13, 2025
-
DeepAgent: A General Reasoning Agent with Scalable Toolsets
Paper • 2510.21618 • Published • 103 -
A Survey of Data Agents: Emerging Paradigm or Overstated Hype?
Paper • 2510.23587 • Published • 67 -
Tongyi DeepResearch Technical Report
Paper • 2510.24701 • Published • 103 -
DeepAnalyze: Agentic Large Language Models for Autonomous Data Science
Paper • 2510.16872 • Published • 112
Collection by Dec 11, 2025
-
Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment
Paper • 2505.10597 • Published -
COIG-P: A High-Quality and Large-Scale Chinese Preference Dataset for Alignment with Human Values
Paper • 2504.05535 • Published • 44 -
nvidia/HelpSteer3
Viewer • Updated • 133k • 4.52k • 106 -
nvidia/Nemotron-RL-instruction_following
Preview • Updated • 298 • 15
Collection by Nov 8, 2025
-
TradingAgents: Multi-Agents LLM Financial Trading Framework
Paper • 2412.20138 • Published • 47 -
MinerU: An Open-Source Solution for Precise Document Content Extraction
Paper • 2409.18839 • Published • 41 -
MinerU2.5: A Decoupled Vision-Language Model for Efficient High-Resolution Document Parsing
Paper • 2509.22186 • Published • 160 -
Agent Lightning: Train ANY AI Agents with Reinforcement Learning
Paper • 2508.03680 • Published • 140
Collection by Oct 31, 2025
-
Emu3.5: Native Multimodal Models are World Learners
Paper • 2510.26583 • Published • 114 -
RECALL: REpresentation-aligned Catastrophic-forgetting ALLeviation via Hierarchical Model Merging
Paper • 2510.20479 • Published • 12 -
A Definition of AGI
Paper • 2510.18212 • Published • 36 -
Video-As-Prompt: Unified Semantic Control for Video Generation
Paper • 2510.20888 • Published • 50
Collection by Oct 28, 2025
Collection by Oct 27, 2025
-
HoloScene: Simulation-Ready Interactive 3D Worlds from a Single Video
Paper • 2510.05560 • Published • 8 -
TaTToo: Tool-Grounded Thinking PRM for Test-Time Scaling in Tabular Reasoning
Paper • 2510.06217 • Published • 67 -
Less is More: Recursive Reasoning with Tiny Networks
Paper • 2510.04871 • Published • 513 -
Fast-dLLM v2: Efficient Block-Diffusion LLM
Paper • 2509.26328 • Published • 58
Collection by Mar 4
-
Describe What You See with Multimodal Large Language Models to Enhance Video Recommendations
Paper • 2508.09789 • Published • 5 -
MM-BrowseComp: A Comprehensive Benchmark for Multimodal Browsing Agents
Paper • 2508.13186 • Published • 20 -
ZARA: Zero-shot Motion Time-Series Analysis via Knowledge and Retrieval Driven LLM Agents
Paper • 2508.04038 • Published • 1 -
Prompt Orchestration Markup Language
Paper • 2508.13948 • Published • 48
Collection by Mar 18
-
GUI-G^2: Gaussian Reward Modeling for GUI Grounding
Paper • 2507.15846 • Published • 135 -
WebWatcher: Breaking New Frontier of Vision-Language Deep Research Agent
Paper • 2508.05748 • Published • 142 -
Mobile-Agent-v3: Foundamental Agents for GUI Automation
Paper • 2508.15144 • Published • 65 -
AgentFly: Fine-tuning LLM Agents without Fine-tuning LLMs
Paper • 2508.16153 • Published • 162