1 code implementation • NAACL 2022 • Jiacheng Xu, Siddhartha Reddy Jonnalagadda, Greg Durrett
Conditional neural text generation models generate high-quality outputs, but often concentrate around a mode when what we really want is a diverse set of options.
no code implementations • ECNLP (ACL) 2022 • Sajjad Beygi, Maryam Fazel-Zarandi, Alessandra Cervone, Prakash Krishnan, Siddhartha Reddy Jonnalagadda
We observe that transformer based models such as UnifiedQA-T5 can be fine-tuned to perform logical reasoning (such as numerical and categorical attributes' comparison) over attributes that been seen in training time (e. g., accuracy of 90\%+ for comparison of smaller than $k_{\max}$=5 values over heldout test dataset).