Scaling the Horizon, Not the Parameters: Reaching Trillion-Parameter Performance with a 35B Agent
Open-source Agentic models specialized on Long-horizon tasks.
agents-a1-team-shanghai-ai-lab
Open-source Agentic models specialized on Long-horizon tasks.
Graph-search-based end-to-end MLE task solver.
Unlocking the full potential of ViT-based stereo matching.
System review of reward hacking.
Intern-S1-Pro: one-trillion-parameter scientific multimodal foundation model.
InternAgent-1.5: A Unified Agentic Framework for Long-Horizon Autonomous Scientific Discovery.
A Multi-Agent System emulates LSTM’s hierarchical information flow and gated memory mechanisms for long-context understanding.
A unified benchmarking toolkit designed to evaluate AI models for science across a broad range of scientific disciplines and task capabilities.
Graph-search-based end-to-end MLE task solver.
Novel sequential token reduction pipeline for Mamba.