303 citations · 351 across the 13 of their papers we have counts for
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cs.LG2021★ 1 cited
Learning and Generalization in RNNs
Abhishek Panigrahi, Navin Goyal
Simple recurrent neural networks (RNNs) and their more advanced cousins LSTMs etc. have been very successful in sequence modeling. Their theoretical understanding, however, is lack…
cs.AI2021
Analyzing the Nuances of Transformers' Polynomial Simplification Abilities
Vishesh Agarwal, Somak Aditya, Navin Goyal
Symbolic Mathematical tasks such as integration often require multiple well-defined steps and understanding of sub-tasks to reach a solution. To understand Transformers' abilities…
cs.CL2021
Are NLP Models really able to Solve Simple Math Word Problems?
Arkil Patel, Satwik Bhattamishra, Navin Goyal
The problem of designing NLP solvers for math word problems (MWP) has seen sustained research activity and steady gains in the test accuracy. Since existing solvers achieve high pe…