The Signal

Everything that matters in AI, with our take.

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arXiv cs.CLPaper7d ago

ProbPlug: A Plugin Uncertainty Network for Reliable Confidence in LLM Binary Classification

Confidence estimation for LLMs is table-stakes for deployment, and this approach is practical. It's incremental work on a known problem, solving it well but not reshaping how anyone thinks about the task. Worth reading if you're actively shipping classification with LLMs and need calibration, otherwise standard fare.

research reliability classification

arXiv cs.AIPaper15d ago

From Confusion to Clarity: Confusion-Aware Retrieval and Knowledge Injection for Text Classification

This is a solid RAG-plus-reasoning pattern for high-cardinality classification. The signal that it transfers to smaller models is worth noting, but the paper is narrowly scoped to text taxonomies. Useful if you're classifying into semantically dense label spaces, less so if your labels are already well-separated.

llm classification retrieval knowledge-injection