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12/01/2022
Distilling Multi-Step Reasoning Capabilities of Large Language Models into Smaller Models via Semantic Decompositions
Step-by-step reasoning approaches like chain-of-thought (CoT) have prove...
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11/23/2022
Automatic Generation of Socratic Subquestions for Teaching Math Word Problems
Socratic questioning is an educational method that allows students to di...
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10/21/2022
A Causal Framework to Quantify the Robustness of Mathematical Reasoning with Language Models
We have recently witnessed a number of impressive results on hard mathem...
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10/07/2022
Longtonotes: OntoNotes with Longer Coreference Chains
Ontonotes has served as the most important benchmark for coreference res...
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09/26/2022
Learning to Drop Out: An Adversarial Approach to Training Sequence VAEs
In principle, applying variational autoencoders (VAEs) to sequential dat...
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02/15/2021
Translational Equivariance in Kernelizable Attention
While Transformer architectures have show remarkable success, they are b...
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11/04/2020
Indic-Transformers: An Analysis of Transformer Language Models for Indian Languages
Language models based on the Transformer architecture have achieved stat...
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10/11/2020
End to End Binarized Neural Networks for Text Classification
Deep neural networks have demonstrated their superior performance in alm...
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03/03/2020
HyperEmbed: Tradeoffs Between Resources and Performance in NLP Tasks with Hyperdimensional Computing enabled Embedding of n-gram Statistics
Recent advances in Deep Learning have led to a significant performance i...
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05/26/2019
ProbAct: A Probabilistic Activation Function for Deep Neural Networks
Activation functions play an important role in the training of artificia...
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01/08/2019
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference
Artificial Neural Networks are connectionist systems that perform a give...
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10/16/2018
Subword Semantic Hashing for Intent Classification on Small Datasets
In this paper, we introduce the use of Semantic Hashing as embedding for...
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06/15/2018