Proof pending. This topic has not reached the minimum paper threshold yet.
Influence functions are commonly used to attribute model behavior to training documents. We explore the reverse: crafting training data that induces model behavior. Our framework, Infusion, uses scala...
On-policy distillation (OPD), which samples trajectories from the student model and supervises them with a teacher at the token level, avoids relying solely on verifiable terminal rewards and can yiel...
Scaling laws have played a major role in the modern AI revolution, providing practitioners predictive power over how the model performance will improve with increasing data, compute, and number of mod...
Freshness
Canonical route: /topics
Agent Handoff
Canonical ID ai-model-training | Route /topic/ai-model-training
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/topic/ai-model-trainingMCP example
{
"tool": "search_papers",
"arguments": {
"query": "AI Model Training",
"cluster": "AI Model Training"
}
}source_context
{
"surface": "topic",
"mode": "topic",
"query": "AI Model Training",
"normalized_query": "ai-model-training",
"route": "/topic/ai-model-training",
"paper_ref": null,
"topic_slug": "ai-model-training",
"benchmark_ref": null,
"dataset_ref": null
}Use This Via API or MCP
Topic pages bundle paper counts, viability trends, author concentration, and top questions into one canonical surface your agents can reference before they open Signal Canvas or create a workspace.