Globally salient entities exhibit higher surprisal and reduce surprisal in surrounding text, refining the UID hypothesis by adding entity salience as a shaping factor.
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2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CL 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
Compact 0.8B-7B models for bidirectional Japanese-English translation outperform large multilingual models on real-world domain benchmarks.
citing papers explorer
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Expect the Unexpected? Testing the Surprisal of Salient Entities
Globally salient entities exhibit higher surprisal and reduce surprisal in surrounding text, refining the UID hypothesis by adding entity salience as a shaping factor.
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CAT-Translate: Building Compact Open-Source Models for Japanese-English Translation
Compact 0.8B-7B models for bidirectional Japanese-English translation outperform large multilingual models on real-world domain benchmarks.