GLiNER
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Study compares On-Device NER models for speed, cost and accuracy
A new arXiv paper tests nine named-entity recognition systems for on-device use, where latency and data privacy matter more than leaderboard scores. They evaluate accuracy, latency (milliseconds to seconds), and output…
1 source primary sourcearXiv cs.CL -
Researchers release IntLawNER dataset for international law NER
The paper introduces IntLawNER, a new named‑entity‑recognition dataset covering 2,987 gold‑annotated sentences and 8,094 entity spans drawn from International Court of Justice decisions, UN Security Council…
1 source primary sourcearXiv cs.AI
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Study compares On-Device NER models for speed, cost and accuracy (2 October 2026).