PokeeResearch-7B: Deep Research Agent
PokeeResearch-7B, developed by Pokee AI, is a 7.6 billion parameter tool-augmented LLM research agent built upon the Qwen2.5-7B-Instruct backbone. It is specifically designed to advance reliable, aligned, and scalable research-grade reasoning, integrating Reinforcement Learning from AI Feedback (RLAIF) with a robust reasoning scaffold.
Key Capabilities
- Autonomous Deep Research: Decomposes complex queries, retrieves and reads from external sources, and synthesizes factual, verifiable, and grounded answers.
- Multi-step Workflows: Capable of self-correction, verification, and synthesis across multiple independent research threads.
- Performance: Achieves state-of-the-art performance among 7B-scale open deep research agents across 10 benchmarks, including HLE, GAIA, and BrowseComp, validating its RLAIF and reasoning scaffold design.
- Multilingual Support: Supports English, Chinese, and many other languages.
Good for
- Standalone Research Assistant: Automating deep research tasks.
- Multi-agent Systems: Supporting academic, enterprise, or product-level research.
- Fine-tuning: Domain-specific scientific discovery, autonomous document retrieval, multi-source verification, and integration into RLHF/RLAIF frameworks.
Limitations
- Dependence on external data quality and retrieval accuracy.
- Potential semantic bias from AI-based feedback signals.
- Limited coverage for non-English or multi-modal reasoning tasks.
- Risk of hallucinated synthesis when sources conflict or lack clarity.