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Yashvardhan Sharma
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2020 – today
- 2024
- [j9]Siva Sai, Yashvardhan Sharma, Vinay Chamola, Biplab Sikdar:
Generative AI for Cyber Security: Analyzing the Potential of ChatGPT, DALL-E, and Other Models for Enhancing the Security Space. IEEE Access 12: 53497-53516 (2024) - [c49]Arti Jha, Pratyut Sharma, Ritik Upmanyu, Yashvardhan Sharma, Kamlesh Tiwari:
Machine Learning-Based Optimization of E-Commerce Advertising Campaigns. ICAART (2) 2024: 531-541 - [c48]Vijay Kumari, Miloni Mittal, Yashvardhan Sharma, Lavika Goel:
FAQ-Based Question Answering Systems with Query-Question and Query-Answer Similarity. ICAART (3) 2024: 1189-1196 - [c47]Dilip Venkatesh, Pasunti Prasanjith, Yashvardhan Sharma:
BITS Pilani at SemEval-2024 Task 10: Fine-tuning BERT and Llama 2 for Emotion Recognition in Conversation. SemEval@NAACL 2024: 811-815 - [c46]Dilip Venkatesh, Yashvardhan Sharma:
BITS Pilani at SemEval-2024 Task 9: Prompt Engineering with GPT-4 for Solving Brainteasers. SemEval@NAACL 2024: 816-820 - [c45]Shaz Furniturewala, Kokil Jaidka, Yashvardhan Sharma:
Impact of Decoding Methods on Human Alignment of Conversational LLMs. WASSA 2024: 273-279 - [i4]Shaz Furniturewala, Kokil Jaidka, Yashvardhan Sharma:
Impact of Decoding Methods on Human Alignment of Conversational LLMs. CoRR abs/2407.19526 (2024) - 2023
- [c44]Usneek Singh, Nisarg Vora, Punit Lohia, Yashvardhan Sharma, Ashutosh Bhatia, Kamlesh Tiwari:
Multilingual Chatbot for Indian Languages. ICCCNT 2023: 1-5 - [c43]Vijay Kumari, Abhimanyu Sethi, Yashvardhan Sharma, Lavika Goel:
Visual Question Answering Analysis: Datasets, Methods, and Image Featurization Techniques. ICPRAM 2023: 281-288 - [c42]Vijay Kumari, Prachi Godbole, Yashvardhan Sharma:
Automatic Subjective Answer Evaluation. ICPRAM 2023: 289-295 - [c41]Sakshi Kalra, Yashvardhan Sharma, Mehul Agrawal, Sai Ratna Kashyap Mantri, Gajendra Singh Chauhan:
Impact of Transformer-Based Models and User Clustering in Early Fake News Detection in Social Media. ICPRAM 2023: 889-896 - [c40]Sakshi Kalra, Yashvardhan Sharma, Priyansh Vyas, Gajendra Singh Chauhan:
FakeRevealer: A Multimodal Framework for Revealing the Falsity of Online Tweets Using Transformer-Based Architectures. ICPRAM 2023: 956-963 - [c39]Anshika Gupta, Shaz Furniturewala, Vijay Kumari, Yashvardhan Sharma:
Steno AI at SemEval-2023 Task 6: Rhetorical Role Labelling of Legal Documents using Transformers and Graph Neural Networks. SemEval@ACL 2023: 1858-1862 - [i3]Anshika Gupta, Shaz Furniturewala, Vijay Kumari, Yashvardhan Sharma:
Rhetorical Role Labeling of Legal Documents using Transformers and Graph Neural Networks. CoRR abs/2305.04100 (2023) - 2022
- [j8]Ritu Arora, Arun Motilal Maurya, Yashvardhan Sharma, Manoj Kannan:
A comprehensive framework and tool for supporting progressive learning of software development in an academic learning environment. Comput. Appl. Eng. Educ. 30(2): 362-383 (2022) - [j7]Vidit Jain, Rohit Kumar Kaliyar, Anurag Goswami, Pratik Narang, Yashvardhan Sharma:
AENeT: an attention-enabled neural architecture for fake news detection using contextual features. Neural Comput. Appl. 34(1): 771-782 (2022) - [j6]Siva Sai, Naman Deep Srivastava, Yashvardhan Sharma:
Explorative Application of Fusion Techniques for Multimodal Hate Speech Detection. SN Comput. Sci. 3(2): 122 (2022) - [c38]Vijay Kumari, Shaz Furniturewala, Gautam Bhambhani, Yashvardhan Sharma:
Anaphora Resolution from Social Media Text. FIRE (Working Notes) 2022: 215-219 - [c37]Sakshi Kalra, Kushank Maheshwari, Saransh Goel, Yashvardhan Sharma:
Emotional Threat Speech Detection in Urdu Language using BERT Variants. FIRE (Working Notes) 2022: 266-275 - [c36]Sakshi Kalra, Saransh Goel, Kushank Maheshwari, Yashvardhan Sharma, Shresht Bhowmick:
Applying TF-IDF and BERT-based Variants under Multilabel Classification for Emotion Detection in Urdu Language. FIRE (Working Notes) 2022: 276-285 - [c35]Sakshi Kalra, Kushank Maheshwari, Saransh Goel, Yashvardhan Sharma:
Hate Speech Detection in Marathi and Code-Mixed Languages using TF-IDF and Transformers-Based BERT-Variants. FIRE (Working Notes) 2022: 596-610 - [i2]Shaz Furniturewala, Vijay Kumari, Amulya Ratna Dash, Hriday Kedia, Yashvardhan Sharma:
BITS Pilani at HinglishEval: Quality Evaluation for Code-Mixed Hinglish Text Using Transformers. CoRR abs/2206.08680 (2022) - 2021
- [j5]Yashvardhan Sharma, Rupal Bhargava, Bapiraju Vamsi Tadikonda:
Named Entity Recognition for Code Mixed Social Media Sentences. Int. J. Softw. Sci. Comput. Intell. 13(2): 23-36 (2021) - [c34]Siva Sai, Alfred W. Jacob, Sakshi Kalra, Yashvardhan Sharma:
Stacked Embeddings and Multiple Fine-Tuned XLM-RoBERTa Models for Enhanced Hostility Identification. CONSTRAINT@AAAI 2021: 224-235 - [c33]Shantipriya Parida, Subhadarshi Panda, Ketan Kotwal, Amulya Ratna Dash, Satya Ranjan Dash, Yashvardhan Sharma, Petr Motlícek, Ondrej Bojar:
NLPHut's Participation at WAT2021. WAT@ACL/IJCNLP 2021: 146-154 - [c32]Sakshi Kalra, Kalit Naresh Inani, Yashvardhan Sharma, Gajendra Singh Chauhan:
Applying Transfer Learning using BERT-Based Models for Hate Speech Detection. FIRE (Working Notes) 2021: 200-208 - [c31]Shaz Furniturewala, Racchit Jain, Vijay Kumari, Yashvardhan Sharma:
Legal Text Classification and Summarization using Transformers and Joint Text Features. FIRE (Working Notes) 2021: 541-546 - [c30]Suchismita Tripathy, Ameya Pathak, Yashvardhan Sharma:
Offensive Language Classification of Code-Mixed Tamil with Keras. FIRE (Working Notes) 2021: 714-719 - [c29]Sakshi Kalra, Yash Bansal, Yashvardhan Sharma:
Detection of Abusive Records by Analyzing the Tweets in Urdu Language Exploring Transformer Based Models. FIRE (Working Notes) 2021: 799-805 - [c28]Sakshi Kalra, Mehul Agrawal, Yashvardhan Sharma:
Detection of Threat Records by Analyzing the Tweets in Urdu Language Exploring Deep Learning Transformer - Based Models. FIRE (Working Notes) 2021: 813-819 - [c27]Sakshi Kalraa, Preetika Vermaa, Yashvardhan Sharma, Gajendra Singh Chauhan:
Ensembling of Various Transformer Based Models for the Fake News Detection Task in the Urdu Language. FIRE (Working Notes) 2021: 1175-1181 - [c26]Nikhil Kumar, Vishal Mittal, Yashvardhan Sharma:
A Three-Fold Machine Learning Approach for Detection of COVID-19 from Audio Data. ICCSA (3) 2021: 497-511 - [c25]Ritu Arora, Arun Motilal Maurya, Yashvardhan Sharma:
Application of Java Relationship Graphs (JRG) to plagiarism detection in Java Projects: A Neo4j Graph Database Approach. ICSIM 2021: 46-51 - [i1]Shaily Bhatt, Sakshi Kalra, Naman Goenka, Yashvardhan Sharma:
Fake News Detection: Experiments and Approaches beyond Linguistic Features. CoRR abs/2109.12914 (2021) - 2020
- [c24]Tarun Kumar, Yashvardhan Sharma:
Character aware models with similarity learning for metaphor detection. Fig-Lang@ACL 2020: 116-125 - [c23]Harsh Sinha, Sakshi, Yashvardhan Sharma:
Text-Convolutional Neural Networks for Fake News Detection in Tweets. FICTA (1) 2020: 81-90 - [c22]Racchit Jain, Abhishek Agarwal, Yashvardhan Sharma:
Spectre@AILA-FIRE2020: Supervised Rhetorical Role Labeling for Legal Judgments using Transformers. FIRE (Working Notes) 2020: 66-70 - [c21]Siva Sai, Yashvardhan Sharma:
Siva@HASOC-Dravidian-CodeMix-FIRE-2020: Multilingual Offensive Speech Detection in Code-mixed and Romanized Text. FIRE (Working Notes) 2020: 336-343 - [c20]Yashvardhan Sharma, Asrita Venkata Mandalam:
Bits2020@Dravidian-CodeMix-FIRE2020: Sub-Word Level Sentiment Analysis of Dravidian Code Mixed Data. FIRE (Working Notes) 2020: 503-509 - [c19]Ritu Arora, Anand Wani, Ankur Vineet, Bhavik Dhandhalya, Yashvardhan Sharma, Sanjay Goel:
Continuous Conflict Prediction during Collaborative Software Development: A step-before Continuous Integration. ICSIM 2020: 105-109
2010 – 2019
- 2019
- [j4]Rupal Bhargava, Shivangi Arora, Yashvardhan Sharma:
Neural Network-Based Architecture for Sentiment Analysis in Indian Languages. J. Intell. Syst. 28(3): 361-375 (2019) - [j3]Rupal Bhargava, Anushka Baoni, Yashvardhan Sharma:
Composite Sequential Modeling for Identifying Fake Reviews. J. Intell. Syst. 28(3): 409-422 (2019) - [c18]Akankshya Mishra, Yashvardhan Sharma:
Language Identification and Context-based Analysis of Code-switching Behaviors in Social Media Discussions. IEEE BigData 2019: 5951-5956 - 2018
- [c17]Ameesha Mitral, Lorenzo Vigentini, Mentari Djatmiko, B. Gangadhara Prusty, Yashvardhan Sharma, Mark E. King:
MOOC-O-Bot: Using Cognitive Technologies to Extend Knowledge Support in MOOCs. TALE 2018: 69-76 - 2017
- [c16]Rupal Bhargava, Gargi Sharma, Yashvardhan Sharma:
Deep Paraphrase Detection in Indian Languages. ASONAM 2017: 1152-1159 - [c15]Rupal Bhargava, Gunjan Goel, Anjali Shah, Yashvardhan Sharma:
Gender Identification in Russian Texts. FIRE (Working Notes) 2017: 13-16 - [c14]Arka Talukdar, Rupal Bhargava, Yashvardhan Sharma:
BITS_PILANI@IMRiDis-FIRE 2017: Information Retrieval from Microblog during Disasters. FIRE (Working Notes) 2017: 38-40 - [c13]Rupal Bhargava, Sukrut Nigwekar, Yashvardhan Sharma:
Catchphrase Extraction from Legal Documents Using LSTM Networks. FIRE (Working Notes) 2017: 72-73 - [c12]Rupal Bhargava, Jaspreet Singh, Shivangi Arora, Yashvardhan Sharma:
Bits_Pilani@INLI-FIRE-2017: Indian Native Language Identification using Deep Learning. FIRE (Working Notes) 2017: 123-126 - 2016
- [j2]Yashvardhan Sharma, Ekansh Mittal, Mayank Garg:
Political Opinion Mining from Twitter. Int. J. Inf. Syst. Serv. Sect. 8(4): 47-56 (2016) - [c11]Rupal Bhargava, Shubham Khandelwal, Akshit Bhatia, Yashvardhan Sharma:
Modeling Classifier for Code Mixed Cross Script Questions. FIRE (Working Notes) 2016: 109-114 - [c10]Rupal Bhargava, Anushka Baoni, Harshit Jain, Yashvardhan Sharma:
BITS_PILANI@DPIL-FIRE2016: Paraphrase Detection in Hindi Language using Syntactic Features of Phrase. FIRE (Working Notes) 2016: 239-243 - [c9]Rupal Bhargava, Bapiraju Vamsi Tadikonda, Yashvardhan Sharma:
Named Entity Recognition for Code Mixing in Indian Languages using Hybrid Approach. FIRE (Working Notes) 2016: 313-317 - [c8]Rupal Bhargava, Yashvardhan Sharma, Shubham Sharma:
Sentiment analysis for mixed script Indic sentences. ICACCI 2016: 524-529 - [c7]Yashvardhan Sharma:
Effort Estimation for Program Modification in Object Oriented Development. ICCSA (4) 2016: 334-345 - 2015
- [c6]Yashvardhan Sharma, Jigar Bhatt, Rachit Magon:
A Multi-criteria Review-Based Hotel Recommendation System. CIT/IUCC/DASC/PICom 2015: 687-691 - [c5]Rupal Bhargava, Yashvardhan Sharma, Shubham Sharma, Abhinav Baid:
Query Labelling for Indic Languages using a hybrid approach. FIRE Workshops 2015: 40-42 - 2014
- [c4]Yashvardhan Sharma, Divyansh Bhatia, Vivek Kishore Choudhary:
TwiBiNG: A Bipartite News Generator Using Twitter. SNOW-DC@WWW 2014: 70-76 - 2013
- [j1]Yashvardhan Sharma, Saurabh Verma, Sumit Kumar, Shivam Upadhyay:
A Context-Based Performance Enhancement Algorithm for Columnar Storage in MapReduce with Hive. Int. J. Cloud Appl. Comput. 3(4): 38-50 (2013) - 2012
- [c3]Arindam Paul, Varuni Ganesan, Jagat Sesh Challa, Yashvardhan Sharma:
HADCLEAN: A hybrid approach to data cleaning in data warehouses. CAMP 2012: 136-142
2000 – 2009
- 2009
- [c2]Navneet Goyal, Yashvardhan Sharma:
New binning strategy for bitmap indices on high cardinality attributes. Bangalore Compute Conf. 2009: 22 - 2006
- [c1]Navneet Goyal, Susheel Kumar Zaveri, Yashvardhan Sharma:
Improved Bitmap Indexing Strategy for Data Warehouses. ICIT 2006: 213-216
Coauthor Index
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last updated on 2024-10-08 20:35 CEST by the dblp team
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