Third-party cyber evaluations involving OpenAI models
openai.com·14h ago
AI Research
arXiv CS.AI·May 26·5 min read
An Interactive Paradigm for Deep Research
TL;DR
Existing deep research systems often lack flexibility, making it difficult to adjust to changing user needs. SteER, a framework for Steerable deEp Research, introduces mid-process user control in research workflows.
✦ Why It Matters
Engineers can leverage SteER to create more adaptable AI systems that better align with user needs during research tasks.
Key Takeaways
- Implement SteER for more flexible research processes.
- Utilize cost-benefit analysis for decision-making in AI workflows.
- Focus on user alignment to improve research outcomes.
- Explore the persona-query benchmark for enhanced data generation.
How It Works
SteER operates by evaluating decision points in the research process, using a cost-benefit formulation to determine whether to pause for user input or continue autonomously. It integrates diverse planning techniques with utility signals that reward alignment, novelty, and coverage, ensuring that the research remains relevant and comprehensive.