Geometric deviation of LLM hidden states from an answerable reference centroid provides a pre-generation signal for answerability that works reliably for mathematical prompts (ROC-AUC 0.78-0.84) but not factual ones.
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DWT decomposes sentence- or word-level embeddings into multi-resolution components that preserve semantics for direct or LLM-guided summarization, yielding up to 97% fidelity and gains in BERTScore and semantic metrics over GPT-4o baselines on clinical and legal benchmarks.
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Geometric Deviation as an Unsupervised Pre-Generation Reliability Signal: Probing LLM Representations for Answerability
Geometric deviation of LLM hidden states from an answerable reference centroid provides a pre-generation signal for answerability that works reliably for mathematical prompts (ROC-AUC 0.78-0.84) but not factual ones.
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DWTSumm: Discrete Wavelet Transform for Document Summarization
DWT decomposes sentence- or word-level embeddings into multi-resolution components that preserve semantics for direct or LLM-guided summarization, yielding up to 97% fidelity and gains in BERTScore and semantic metrics over GPT-4o baselines on clinical and legal benchmarks.