Agents-A1
Collection
Agents-A1 is a Long-horizon Agentic Model that reaches trillion-parameter-level performance by scaling the agent horizon. • 12 items • Updated • 32
Yue Fan
SaviorYue
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AI & ML interests
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Recent Activity
upvoted a collection 14 days ago
Agents-A1 liked a model 15 days ago
InternScience/Agents-A1 authored a paper 16 days ago
LongViTU: Instruction Tuning for Long-Form Video UnderstandingOrganizations
upvoted a collection 14 days ago
liked a
model 15 days ago
authored 11
papers 16 days ago
LongViTU: Instruction Tuning for Long-Form Video Understanding
Paper • 2501.05037 • Published • 1
VideoAgent: A Memory-augmented Multimodal Agent for Video Understanding
Paper • 2403.11481 • Published • 13
Semantic Gaussians: Open-Vocabulary Scene Understanding with 3D Gaussian Splatting
Paper • 2403.15624 • Published
Multi-modal Agent Tuning: Building a VLM-Driven Agent for Efficient Tool Usage
Paper • 2412.15606 • Published • 2
Embodied VideoAgent: Persistent Memory from Egocentric Videos and Embodied Sensors Enables Dynamic Scene Understanding
Paper • 2501.00358 • Published
LEO-VL: Towards 3D Vision-Language Generalists via Data Scaling with Efficient Representation
Paper • 2506.09935 • Published
FlowSearch: Advancing deep research with dynamic structured knowledge flow
Paper • 2510.08521 • Published
InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery
Paper • 2602.08990 • Published • 84
Intern-S1-Pro: Scientific Multimodal Foundation Model at Trillion Scale
Paper • 2603.25040 • Published • 134
Agents-K1: Towards Agent-native Knowledge Orchestration
Paper • 2606.13669 • Published • 1
Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent
Paper • 2606.30616 • Published • 101
upvoted a paper 22 days ago