DiagSafe scores LLM safety with prompt-level rubrics, not binary labels
The bilingual benchmark reaches 95.34% agreement with humans and finds models weaker in Chinese and multi-turn settings.
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Stories tagged #bilingual
Phocinae/Phocinae-Largha-150M-v1 — new model trending #28 on Hugging Face
Phocinae releases Largha-150M-v1, a 144.3M-parameter structured-decision model claiming 21 ms GPU latency and 55% fewer LLM calls.
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UltraText Bench: A Comprehensive Bilingual Benchmark for Evaluating Visual Text Rendering in Image Generation
UltraText Bench scores dense bilingual text rendering across 432 prompts and 24 image models.
Building a Production Greek-English Speech Recognizer
Engineering report details Sophea, a production Greek-English ASR reaching 4.26% WER on public English sets via ROVER ensemble and data-pipeline calibration.