BERT Jobs

I already have a working fake-news detector built on Python, BERT and the Hugging Face Transformers stack, wrapped in a Gradio demo. What I need now is a sharper, more insightful explainability layer. The detector currently calls both LIME and SHAP, but the outputs are basic and not yet integrated into a cohesive, user-friendly display. Your mission is to give equal weight to LIME and SHAP, tighten the faithfulness of their explanations, and surface the results through the existing Gradio interface so that journalists, fact-checkers and everyday readers can immediately see which words or phrases are driving each prediction and why. Key goals • Refactor or fine-tune the current LIME and SHAP pipelines so they handle longer articles without timeouts or memory issues. • Align ...