Researchers from USC and Microsoft Propose UniversalNER: A New AI Model Trained with Targeted Distillation Recognizing 13k+ Entity Types and Outperforming ChatGPT’s NER Accuracy by 9% F1 on 43 Datasets

ChatGPT and other large language models (LLMs) have shown impressive generalization abilities, but their training and inference costs are often prohibitive. Additionally, white-box access to model weights and inference probabilities is frequently crucial for explainability and confidence in mission-critical applications like healthcare. As a result, instruction tuning has gained popularity as a method for condensing […]

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