| { |
| "metadata": { |
| "topic": "Google Research", |
| "language": "English" |
| }, |
| "extracted_facts": [ |
| "Science One Framework: A verifiable autonomous research framework via Chain-of-Evidence", |
| "SymptomAI: Towards a conversational AI agent for everyday symptom assessment", |
| "Towards a quantum computer that learns from its errors", |
| "Towards demystifying the creativity of diffusion models", |
| "SensorFM: Towards a general intelligence and interface for wearable health data", |
| "The power of collaboration: How we can reduce traffic congestion", |
| "Expanding our Heat Resilience data to 50+ global cities", |
| "Introducing TabFM: A zero-shot foundation model for tabular data", |
| "Accelerating Gemini Nano models on Pixel with frozen Multi-Token Prediction", |
| "Optimizing cloud economics with linear elastic caching", |
| "Thinking to recall: How reasoning unlocks parametric knowledge in LLMs", |
| "From pixels to planning: Earth AI for nature restoration" |
| ], |
| "cleaning_rationale": "This data is valuable for AI training due to its relevance to various research topics.", |
| "quality_score": 0.92 |
| } |
