method
active
method:agentic-inference-scaffoldingAgentic Inference Scaffolding
The paper's inference framework that reformulates multi-turn tool-calling as single-turn contextual QA for Qwen models and implements context memory management.
Neighborhood — ranked by edge-count
Frameworks (1)
framework
- SFR-DeepResearchimplementsThe paper's core contribution: an RL-based framework for training autonomous single-agent LLMs to perform deep research with web search, browsing, and code execution.
Findings (1)
finding
- Result demonstrating inference-time architectural gains from reformulating multi-turn interactions as single-turn contextual QA.
Methods (1)
method
- Memory Management SystemimplementsEnables agents to self-manage internal context window by providing a clean_memory tool that selectively preserves important information when approaching token limits.
Hypotheses (1)
hypothesis
- Proposed explanation for why single-turn reformulation improves performance: models' training distribution is concentrated on single-turn reasoning.
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