FineSteer: A Unified Framework for Fine-Grained Inference-Time Steering in Large Language Models explores A unified framework for fine-grained, cost-effective inference-time steering of LLMs to improve safety and truthfulness with minimal utility loss.. Commercial viability score: 8/10 in LLM Inference Optimization.
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Canonical route: /paper/finesteer-a-unified-framework-for-fine-grained-inference-time-steering-in-large-language-models
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Canonical ID finesteer-a-unified-framework-for-fine-grained-inference-time-steering-in-large-language-models | Route /paper/finesteer-a-unified-framework-for-fine-grained-inference-time-steering-in-large-language-models
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curl https://sciencetostartup.com/api/v1/agent-handoff/paper/finesteer-a-unified-framework-for-fine-grained-inference-time-steering-in-large-language-modelsMCP example
{
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}source_context
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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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