EDEN adaptively sets branching factor proportional to next-token entropy, achieving better accuracy per expansion than fixed beam search while providing a proof that monotone entropy-based branching outperforms any fixed budget allocation.
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2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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SinkProbe detects hallucinations in LLMs by analyzing attention sinks in attention maps, showing they indicate transitions to prior-dominated computation and achieving state-of-the-art results.
citing papers explorer
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Entropy-informed Decoding: Adaptive Information-Driven Branching
EDEN adaptively sets branching factor proportional to next-token entropy, achieving better accuracy per expansion than fixed beam search while providing a proof that monotone entropy-based branching outperforms any fixed budget allocation.
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Attention Sinks as Internal Signals for Hallucination Detection in Large Language Models
SinkProbe detects hallucinations in LLMs by analyzing attention sinks in attention maps, showing they indicate transitions to prior-dominated computation and achieving state-of-the-art results.