Fact Extraction and VERification baseline published in NAACL2018
Symmetric evaluation set based on the FEVER (fact verification) dataset
An automated solution for fact-checking using available claims and fake-news datasets to fine-tune state-of-the-art language models published recently for NLP tasks (BERT, RoBERTa, XLNet, ConvBERT...) in order to classify unseen claims.
📄 Evidence Retrieval and Claim Verification for the FEVER shared task using Transformer Networks
FEVER<->Threat Bus connector
PT-GAT Transformer Diagnostics: task-relative hallucination diagnosis with adequacy triggers, evidence conditioning, and anti-collapse baselines.
Zero-shot counterfactual fact verification on FEVER: measuring how a local quantized LLM (Phi-3 Mini) holds up across claim-complexity tiers. Ongoing research.
Production fever and malaria prediction platform with LSTM-Attention fusion models, SHAP explainability, and Bayesian hyperparameter optimization
Reproducibility artefacts for 'An Input-Regime Audit of Conflict Detection for Retrieval-Augmented Generation' (VecDB@VLDB 2026 submission)
aNLP class final project, claim verification on fever.ai training dataset
Fever, Python, Hexagonal Architecture, Redis
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