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👉 Data-Driven, Intelligently Synthesized
🔥 We specialize in intelligent synthetic data generation and knowledge-augmented LLM reasoning technologies.
🌟 With a focus on context graphs and multi-agent systems, we build more efficient and trustworthy next-generation data and model infrastructure.
🚀 Through open-source projects and in-depth research, we explore the full technical cycle from data synthesis and continual pre-training to model evaluation.
👋 Join us in contributing high-quality algorithms, data, and insights to the open-source community.
Synthetic Data Generation Platform By DataArcTech
GraphSearch: An Agentic Deep Searching Workflow for Graph Retrieval-Augmented Generation
🥇 Not Just Another Agent Framework, But a Bayesian Evolution Layer That Can Work Across Harnesses
🥇 A curated list of awesome large language models in finance(FinLLMs), including papers,models,datasets and codebases. 金融大模型列表,特别是中英双语大模型。
The repo of survey paper "A Survey of Agent Skills: Toward Procedural Infrastructure for LLM Agents"
[ACL'26] Repository for the Paper "Conflicts Make Large Reasoning Models Vulnerable to Attacks"
Think-on-Graph 3.0: Efficient and Adaptive LLM Reasoning on Heterogeneous Graphs via Multi-Agent Dual-Evolving Context Retrieval
GraphSearch: An Agentic Deep Searching Workflow for Graph Retrieval-Augmented Generation
🥇 A curated list of awesome Large Language Models/Agents for Mathematical Modeling tasks, including papers,models,datasets and codebases. 专门用于数学建模任务的大模型/Agent。
NPU version of "F5-TTS: A Fairytaler that Fakes Fluent and Faithful Speech with Flow Matching"
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