Mihir (Mihir3009)

Mihir3009

Geek Repo

Company:@Arizona State University

Location:Phoenix, USA

Home Page:https://scholar.google.com/citations?user=2UPwJC4AAAAJ&hl=en

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Mihir's repositories

In-BoXBART

In-BoXBART: Get Instructions into Biomedical Multi-task Learning

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LogicBench

LogicBench is a natural language question-answering dataset consisting of 25 different reasoning patterns spanning over propositional, first-order, and non-monotonic logics.

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whisper-to-speech

The aim of this project is to make voice assistants more responsive towards whisper to some extent.

dysarthric-speech-improvement

The idea behind this project is to make speech recognition more better for the people with speech pathology.

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Multi-LogiEval

A comprehensive evaluation dataset encompassing multi-step logical reasoning with various inference rules and depths

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asset

A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations

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Extract-AI

A systematically developed human-annotated dataset consisting of coherent summaries for five publicly available datasets and natural language user feedback, offering valuable insights into how to improve coherence in extractive summaries.

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genetic-algorithm

Genetic Algorithm (GA) for solving Richardson arm race model for three countries

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GridPuzzle

An evaluation dataset comprising of 274 grid-based puzzles with different complexities

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Logic2Text

Data and code for Logic2Text dataset

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LongBoX

LongBoX: Evaluating Transformers on Long-Sequence Clinical Tasks

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MCTACO

Dataset and code for “Going on a vacation” takes longer than “Going for a walk”: A Study of Temporal Commonsense Understanding, EMNLP 2019.

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LogicAttack

This repo has all the code that is required to run the experiments for our LogicAttack Paper.

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natural-instructions-expansion

Expanding natural instructions

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NLP576-SIA

CLP 576 SIA Project Fall 20

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open-review-toolkit

Open Review Toolkit: Better books, Higher sales, Increased access to knowledge

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Speech-Pathology-Domain

Solving real life problem using Machine Learning Techniques for Speech Pathology Domain

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Weak-Speech-Supervision

A first-of-its-kind system in speech domain that helps users to train state-of-the-art classification models without hand-labeling training data.

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