Unanswerable Question Detection Via Confidence Thresholding

via “unanswerable question detection”

question-answering model by undefined. 1,44,130 downloads.

Unique: Explicitly trained on SQuAD 2.0's adversarial unanswerable questions (33% of dataset), learning to recognize when context genuinely lacks information rather than defaulting to low-confidence extractions like SQuAD 1.1-only models

vs others: More reliable than post-hoc confidence filtering because the model learned unanswerable patterns during training, rather than relying on threshold heuristics applied to models trained only on answerable questions