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128 results on '"Sharma, Yashvardhan"'

1. Impact of Decoding Methods on Human Alignment of Conversational LLMs

Author

Furniturewala, Shaz, Jaidka, Kokil, and Sharma, Yashvardhan

Subjects
Computer Science - Computation and Language
Abstract

To be included into chatbot systems, Large language models (LLMs) must be aligned with human conversational conventions. However, being trained mainly on web-scraped data gives existing LLMs a voice closer to informational text than actual human speech. In this paper, we examine the effect of decoding methods on the alignment between LLM-generated and human conversations, including Beam Search, Top K Sampling, and Nucleus Sampling. We present new measures of alignment in substance, style, and psychometric orientation, and experiment with two conversation datasets. Our results provide subtle insights: better alignment is attributed to fewer beams in Beam Search and lower values of P in Nucleus Sampling. We also find that task-oriented and open-ended datasets perform differently in terms of alignment, indicating the significance of taking into account the context of the interaction.

Published
2024

2. Rhetorical Role Labeling of Legal Documents using Transformers and Graph Neural Networks

Author

Gupta, Anshika, Furniturewala, Shaz, Kumari, Vijay, and Sharma, Yashvardhan

Subjects
Computer Science - Computation and Language
Abstract

A legal document is usually long and dense requiring human effort to parse it. It also contains significant amounts of jargon which make deriving insights from it using existing models a poor approach. This paper presents the approaches undertaken to perform the task of rhetorical role labelling on Indian Court Judgements as part of SemEval Task 6: understanding legal texts, shared subtask A. We experiment with graph based approaches like Graph Convolutional Networks and Label Propagation Algorithm, and transformer-based approaches including variants of BERT to improve accuracy scores on text classification of complex legal documents.

Published
2023

3. BITS Pilani at HinglishEval: Quality Evaluation for Code-Mixed Hinglish Text Using Transformers

Author

Furniturewala, Shaz, Kumari, Vijay, Dash, Amulya Ratna, Kedia, Hriday, and Sharma, Yashvardhan

Subjects
Computer Science - Computation and Language, Computer Science - Machine Learning
Abstract

Code-Mixed text data consists of sentences having words or phrases from more than one language. Most multi-lingual communities worldwide communicate using multiple languages, with English usually one of them. Hinglish is a Code-Mixed text composed of Hindi and English but written in Roman script. This paper aims to determine the factors influencing the quality of Code-Mixed text data generated by the system. For the HinglishEval task, the proposed model uses multi-lingual BERT to find the similarity between synthetically generated and human-generated sentences to predict the quality of synthetically generated Hinglish sentences.

Published
2022

4. Fake News Detection: Experiments and Approaches beyond Linguistic Features

Author

Bhatt, Shaily, Kalra, Sakshi, Goenka, Naman, and Sharma, Yashvardhan

Subjects
Computer Science - Computation and Language
Abstract

Easier access to the internet and social media has made disseminating information through online sources very easy. Sources like Facebook, Twitter, online news sites and personal blogs of self-proclaimed journalists have become significant players in providing news content. The sheer amount of information and the speed at which it is generated online makes it practically beyond the scope of human verification. There is, hence, a pressing need to develop technologies that can assist humans with automatic fact-checking and reliable identification of fake news. This paper summarizes the multiple approaches that were undertaken and the experiments that were carried out for the task. Credibility information and metadata associated with the news article have been used for improved results. The experiments also show how modelling justification or evidence can lead to improved results. Additionally, the use of visual features in addition to linguistic features is demonstrated. A detailed comparison of the results showing that our models perform significantly well when compared to robust baselines as well as state-of-the-art models are presented.

Published
2021
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10. Multimodal Fake News Detection on Fakeddit Dataset Using Transformer-Based Architectures

Author

Kalra, Sakshi, Kumar, Chitneedi Hemanth Sai, Sharma, Yashvardhan, Chauhan, Gajendra Singh, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Khare, Nilay, editor, Tomar, Deepak Singh, editor, Ahirwal, Mitul Kumar, editor, Semwal, Vijay Bhaskar, editor, and Soni, Vaibhav, editor

Published
2022
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11. Domain-Specific Chatbot Development Using the Deep Learning-Based RASA Framework

Author

Kumari, Vijay, Gosavi, Chinmay, Sharma, Yashvardhan, Goel, Lavika, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Sharma, Harish, editor, Shrivastava, Vivek, editor, Kumari Bharti, Kusum, editor, and Wang, Lipo, editor

Published
2022
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12. Application of Java Relationship Graphs to Academics for Detection of Plagiarism in Java Projects

Author

Tyagi, Divya, Arora, Ritu, Sharma, Yashvardhan, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Tuba, Milan, editor, Akashe, Shyam, editor, and Joshi, Amit, editor

Published
2022
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15. Stacked Embeddings and Multiple Fine-Tuned XLM-RoBERTa Models for Enhanced Hostility Identification

Author

Sai, Siva, Jacob, Alfred W., Kalra, Sakshi, Sharma, Yashvardhan, Filipe, Joaquim, Editorial Board Member, Ghosh, Ashish, Editorial Board Member, Prates, Raquel Oliveira, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Chakraborty, Tanmoy, editor, Shu, Kai, editor, Bernard, H. Russell, editor, Liu, Huan, editor, and Akhtar, Md Shad, editor

Published
2021
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16. Text-Convolutional Neural Networks for Fake News Detection in Tweets

Author

Sinha, Harsh, Sakshi, Sharma, Yashvardhan, Kacprzyk, Janusz, Series Editor, Pal, Nikhil R., Advisory Editor, Bello Perez, Rafael, Advisory Editor, Corchado, Emilio S., Advisory Editor, Hagras, Hani, Advisory Editor, Kóczy, László T., Advisory Editor, Kreinovich, Vladik, Advisory Editor, Lin, Chin-Teng, Advisory Editor, Lu, Jie, Advisory Editor, Melin, Patricia, Advisory Editor, Nedjah, Nadia, Advisory Editor, Nguyen, Ngoc Thanh, Advisory Editor, Wang, Jun, Advisory Editor, Bhateja, Vikrant, editor, Peng, Sheng-Lung, editor, Satapathy, Suresh Chandra, editor, and Zhang, Yu-Dong, editor

Published
2021
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17. A Three-Fold Machine Learning Approach for Detection of COVID-19 from Audio Data

Author

Kumar, Nikhil, Mittal, Vishal, Sharma, Yashvardhan, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Gervasi, Osvaldo, editor, Murgante, Beniamino, editor, Misra, Sanjay, editor, Garau, Chiara, editor, Blečić, Ivan, editor, Taniar, David, editor, Apduhan, Bernady O., editor, Rocha, Ana Maria A. C., editor, Tarantino, Eufemia, editor, and Torre, Carmelo Maria, editor

Published
2021
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34. Composite Sequential Modeling for Identifying Fake Reviews

Author

Bhargava Rupal, Baoni Anushka, and Sharma Yashvardhan

Subjects
spam detection, deep learning, machine learning, fake reviews, Science, Electronic computers. Computer science, QA75.5-76.95
Abstract

This paper presents a comprehensive analysis and comparison of various proposed sequential models based on different deep networks such as the convolutional neural network, long short-term memory, and recurrent neural network. The different sequential models are analyzed based on the number of layers, the number of output dimensions, order, and the combination of different deep network architectures. The proposed approach is compared to a baseline model based on traditional machine learning techniques.

Published
2019
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35. Neural Network-Based Architecture for Sentiment Analysis in Indian Languages

Author

Bhargava Rupal, Arora Shivangi, and Sharma Yashvardhan

Subjects
sentiment analysis, deep learning, indian languages, convolutional neural network (cnn), recurrent neural network (rnn), long short-term memory (lstm), Science, Electronic computers. Computer science, QA75.5-76.95
Abstract

Sentiment analysis refers to determining the polarity of the opinions represented by text. The paper proposes an approach to determine the sentiments of tweets in one of the Indian languages (Hindi, Bengali, and Tamil). Thirty-nine sequential models have been created using three different neural network layers [recurrent neural networks (RNNs), long short-term memory (LSTM), convolutional neural network (CNN)] with optimum parameter settings (to avoid over-fitting and error accumulation). These sequential models have been investigated for each of the three languages. The proposed sequential models are experimented to identify how the hidden layers affect the overall performance of the approach. A comparison has also been performed with existing approaches to find out if neural networks have an added advantage over traditional machine learning techniques.

Published
2019
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38. Effort Estimation for Program Modification in Object Oriented Development

Author

Sharma, Yashvardhan, Hutchison, David, Series editor, Kanade, Takeo, Series editor, Kittler, Josef, Series editor, Kleinberg, Jon M., Series editor, Mattern, Friedemann, Series editor, Mitchell, John C., Series editor, Naor, Moni, Series editor, Pandu Rangan, C., Series editor, Steffen, Bernhard, Series editor, Terzopoulos, Demetri, Series editor, Tygar, Doug, Series editor, Weikum, Gerhard, Series editor, Gervasi, Osvaldo, editor, Murgante, Beniamino, editor, Misra, Sanjay, editor, Rocha, Ana Maria A.C., editor, Torre, Carmelo M., editor, Taniar, David, editor, Apduhan, Bernady O., editor, Stankova, Elena, editor, and Wang, Shangguang, editor

Published
2016
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