SWAY: A Counterfactual Computational Linguistic Approach to Measuring and Mitigating Sycophancy explores A novel computational linguistic metric and mitigation strategy to eliminate sycophancy in large language models.. Commercial viability score: 7/10 in LLM Alignment.
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Freshness
Canonical route: /paper/sway-a-counterfactual-computational-linguistic-approach-to-measuring-and-mitigating-sycophancy
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Agent Handoff
Canonical ID sway-a-counterfactual-computational-linguistic-approach-to-measuring-and-mitigating-sycophancy | Route /paper/sway-a-counterfactual-computational-linguistic-approach-to-measuring-and-mitigating-sycophancy
REST example
curl https://sciencetostartup.com/api/v1/agent-handoff/paper/sway-a-counterfactual-computational-linguistic-approach-to-measuring-and-mitigating-sycophancyMCP example
{
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"arguments": {
"arxiv_id": "2604.02423"
}
}source_context
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"paper_ref": "sway-a-counterfactual-computational-linguistic-approach-to-measuring-and-mitigating-sycophancy",
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}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 7.0
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