When Can LLMs Learn to Reason with Weak Supervision? explores This paper investigates when Large Language Models can learn to reason effectively with weak supervision by analyzing training dynamics and identifying key properties for generalization.. Commercial viability score: 4/10 in LLM Reasoning.
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Canonical route: /paper/when-can-llms-learn-to-reason-with-weak-supervision
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Canonical ID when-can-llms-learn-to-reason-with-weak-supervision | Route /paper/when-can-llms-learn-to-reason-with-weak-supervision
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/when-can-llms-learn-to-reason-with-weak-supervisionMCP example
{
"tool": "get_paper",
"arguments": {
"arxiv_id": "2604.18574"
}
}source_context
{
"surface": "paper",
"mode": "paper",
"query": "When Can LLMs Learn to Reason with Weak Supervision?",
"normalized_query": "2604.18574",
"route": "/paper/when-can-llms-learn-to-reason-with-weak-supervision",
"paper_ref": "when-can-llms-learn-to-reason-with-weak-supervision",
"topic_slug": null,
"benchmark_ref": null,
"dataset_ref": null
}Constellation, claims, and market context stay visible on the paper proof page even when commercialization rails are held back for incomplete proof receipts.
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Dimensions overall score 4.0
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