Hallucination-prevention RAG system with verbatim span extraction. Ensures all generated content is grounded in source documents with exact citations.

Easy modernBERT fine-tuning and multi-task learning

ModernBERT model optimized for Apple Neural Engine.

2nd place · Detect AI-generated text across 6 classes · ModernBERT + LDAM + per-class ensemble · Macro F1 0.95919 — MALTO Hackathon, Politecnico di Torino

Lightweight, Self-Hosted AI Guardrails Model based on ModernBERT.

ClassyText is a demo for zero-shot text classification using ModernBERT-large from Hugging Face.

End-to-end pipeline that identifies specialized research papers through automated classification, demonstrated with an LLMOps use case that includes data ingestion, model training, evaluation, and deployment.

Code for EXIST 2025 Task 1.1, 1.2 and 1.3

Challenge to distinguish whether a sentence from a news article expresses the subjective view of the author behind it or presents an objective view on the covered topic

Semantic code search using vector embeddings. Search your codebase with natural language queries at the function level.

AI-generated text detector using ModernBERT with a Streamlit UI for classifying text as human or AI-written

High-performance, edge-native compliance engine for the Fair Housing Act (FHA). Powered by ModernBERT, providing privacy-first local inference to detect real estate violations in real-time.

Trajectory Classification with the new architecture of BERT, the 'ModernBERT'

Provision-level retrieval and neural reranking for UK legislation, with an open distilled ModernBERT reranker. Official code for the Artificial Intelligence and Law (2026) paper.

Verite! — Cross-domain deception detection with ModernBERT

We introduce a binarized approach to Lexical Complexity Prediction (Binary LCP) and systematically compare two generations of encoder-only Transformer models: BERT and ModernBERT. Work completed as part of Natural Language Processing, DATASCI 266.

This is my attempt at writing an ai detector api by fine-tuning modernBert. The story about this project is discussed in the readme. You can find a link to the model playground below.

Methodology case study: prompt-injection detector evaluation under cross-family OOD shift. Detectors trained on direct injection meet attack families they did not see — do they still work?

Fine-tuned ModernBERT for software industry related article summaries

Finance-only LLM prompt route classifier for fast task routing.