Search Results for author: Parth Padalkar

Found 6 papers, 0 papers with code

A Neurosymbolic Framework for Bias Correction in CNNs

no code implementations24 May 2024 Parth Padalkar, Natalia Ślusarz, Ekaterina Komendantskaya, Gopal Gupta

We demonstrate that our NeSyBiCor framework successfully corrects the biases of CNNs trained with subsets of classes from the Places dataset while sacrificing minimal accuracy and improving interpretability, by greatly decreasing the size of the final bias-corrected rule-set w. r. t.

Image Classification Semantic Similarity +1

Automated Interactive Domain-Specific Conversational Agents that Understand Human Dialogs

no code implementations15 Mar 2023 Yankai Zeng, Abhiramon Rajasekharan, Parth Padalkar, Kinjal Basu, Joaquín Arias, Gopal Gupta

To the best of our knowledge, AutoConcierge is the first automated conversational agent that can realistically converse like a human and provide help to humans based on truly understanding human utterances.

Sentence

Reliable Natural Language Understanding with Large Language Models and Answer Set Programming

no code implementations7 Feb 2023 Abhiramon Rajasekharan, Yankai Zeng, Parth Padalkar, Gopal Gupta

NLU applications developed using the STAR framework are also explainable: along with the predicates generated, a justification in the form of a proof tree can be produced for a given output.

Mathematical Reasoning Natural Language Understanding

NeSyFOLD: Neurosymbolic Framework for Interpretable Image Classification

no code implementations30 Jan 2023 Parth Padalkar, Huaduo Wang, Gopal Gupta

We evaluate the performance of our "semantic labelling algorithm" to quantify the efficacy of the semantic labelling for both the NeSy model and the NeSy-EBP model.

Classification Image Classification

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