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  • BERT

BERT

Perturbation CheckLists for Evaluating NLG Evaluation Metrics
The Heads Hypothesis: A Unifying Statistical Approach Towards Understanding Multi-Headed Attention in BERT
The heads hypothesis: A unifying statistical approach towards understanding multi-headed attention in BERT
Improving Dialog Evaluation with a Multi-reference Adversarial Dataset and Large Scale Pretraining
On Incorporating Structural Information to improve Dialogue Response Generation
On the weak link between importance and prunability of attention heads
Towards Interpreting BERT for Reading Comprehension Based QA
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Founded in 2024, the School brings together several faculty with expertise in various areas of Data Science and AI, to work together on impactful problems of direct relevance to the society.

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044 2257 8980
office@dsai.iitm.ac.in
6th Floor, New Academic Complex 2,
Indian Institute of Technology Madras,
Chennai-600036, India

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