Improved Bitmap Indexing Strategy for Data Warehouses. - Navneet Goyal; Susheel Kumar Zaveri; Yashvardhan Sharma (ICIT, 2006)

New binning strategy for bitmap indices on high cardinality attributes. - Navneet Goyal; Yashvardhan Sharma (Bangalore Compute Conf., 2009)

HADCLEAN: A hybrid approach to data cleaning in data warehouses. - Arindam Paul; Varuni Ganesan; Jagat Sesh Challa; Yashvardhan Sharma (CAMP, 2012)

A Context-Based Performance Enhancement Algorithm for Columnar Storage in MapReduce with Hive. - Yashvardhan Sharma; Saurabh Verma; Sumit Kumar; Shivam Upadhyay (Int. J. Cloud Appl. Comput., 2013)

TwiBiNG: A Bipartite News Generator Using Twitter. - Yashvardhan Sharma; Divyansh Bhatia; Vivek Kishore Choudhary (SNOW-DC@WWW, 2014)

A Multi-criteria Review-Based Hotel Recommendation System. - Yashvardhan Sharma; Jigar Bhatt; Rachit Magon (CIT/IUCC/DASC/PICom, 2015)

Query Labelling for Indic Languages using a hybrid approach. - Rupal Bhargava; Yashvardhan Sharma; Shubham Sharma; Abhinav Baid (FIRE Workshops, 2015)

BITS_PILANI@DPIL-FIRE2016: Paraphrase Detection in Hindi Language using Syntactic Features of Phrase. - Rupal Bhargava; Anushka Baoni; Harshit Jain; Yashvardhan Sharma (FIRE (Working Notes), 2016)

Modeling Classifier for Code Mixed Cross Script Questions. - Rupal Bhargava; Shubham Khandelwal; Akshit Bhatia; Yashvardhan Sharma (FIRE (Working Notes), 2016)

Named Entity Recognition for Code Mixing in Indian Languages using Hybrid Approach. - Rupal Bhargava; Bapiraju Vamsi Tadikonda; Yashvardhan Sharma (FIRE (Working Notes), 2016)

Sentiment analysis for mixed script Indic sentences. - Rupal Bhargava; Yashvardhan Sharma; Shubham Sharma (ICACCI, 2016)

Effort Estimation for Program Modification in Object Oriented Development. - Yashvardhan Sharma (ICCSA (4), 2016)

Political Opinion Mining from Twitter. - Yashvardhan Sharma; Ekansh Mittal; Mayank Garg (Int. J. Inf. Syst. Serv. Sect., 2016)

Deep Paraphrase Detection in Indian Languages. - Rupal Bhargava; Gargi Sharma; Yashvardhan Sharma (ASONAM, 2017)

Gender Identification in Russian Texts. - Rupal Bhargava; Gunjan Goel; Anjali Shah; Yashvardhan Sharma (FIRE (Working Notes), 2017)

Catchphrase Extraction from Legal Documents Using LSTM Networks. - Rupal Bhargava; Sukrut Nigwekar; Yashvardhan Sharma (FIRE (Working Notes), 2017)

Bits_Pilani@INLI-FIRE-2017: Indian Native Language Identification using Deep Learning. - Rupal Bhargava; Jaspreet Singh; Shivangi Arora; Yashvardhan Sharma (FIRE (Working Notes), 2017)

BITS_PILANI@IMRiDis-FIRE 2017: Information Retrieval from Microblog during Disasters. - Arka Talukdar; Rupal Bhargava; Yashvardhan Sharma (FIRE (Working Notes), 2017)

MOOC-O-Bot: Using Cognitive Technologies to Extend Knowledge Support in MOOCs. - Ameesha Mitral; Lorenzo Vigentini; Mentari Djatmiko; B. Gangadhara Prusty; Yashvardhan Sharma; Mark E. King (TALE, 2018)

Language Identification and Context-based Analysis of Code-switching Behaviors in Social Media Discussions. - Akankshya Mishra; Yashvardhan Sharma (IEEE BigData, 2019)

Neural Network-Based Architecture for Sentiment Analysis in Indian Languages. - Rupal Bhargava; Shivangi Arora; Yashvardhan Sharma (J. Intell. Syst., 2019)

Composite Sequential Modeling for Identifying Fake Reviews. - Rupal Bhargava; Anushka Baoni; Yashvardhan Sharma (J. Intell. Syst., 2019)

Character aware models with similarity learning for metaphor detection. - Tarun Kumar; Yashvardhan Sharma (Fig-Lang@ACL, 2020)

Text-Convolutional Neural Networks for Fake News Detection in Tweets. - Harsh Sinha; Sakshi; Yashvardhan Sharma (FICTA (1), 2020)

Spectre@AILA-FIRE2020: Supervised Rhetorical Role Labeling for Legal Judgments using Transformers. - Racchit Jain; Abhishek Agarwal; Yashvardhan Sharma (FIRE (Working Notes), 2020)

Siva@HASOC-Dravidian-CodeMix-FIRE-2020: Multilingual Offensive Speech Detection in Code-mixed and Romanized Text. - Siva Sai; Yashvardhan Sharma (FIRE (Working Notes), 2020)

Bits2020@Dravidian-CodeMix-FIRE2020: Sub-Word Level Sentiment Analysis of Dravidian Code Mixed Data. - Yashvardhan Sharma; Asrita Venkata Mandalam (FIRE (Working Notes), 2020)

Continuous Conflict Prediction during Collaborative Software Development: A step-before Continuous Integration. - Ritu Arora; Anand Wani; Ankur Vineet; Bhavik Dhandhalya; Yashvardhan Sharma; Sanjay Goel (ICSIM, 2020)

Stacked Embeddings and Multiple Fine-Tuned XLM-RoBERTa Models for Enhanced Hostility Identification. - Siva Sai; Alfred W. Jacob; Sakshi Kalra; Yashvardhan Sharma (CONSTRAINT@AAAI, 2021)

NLPHut's Participation at WAT2021. - Shantipriya Parida; Subhadarshi Panda; Ketan Kotwal; Amulya Ratna Dash; Satya Ranjan Dash; Yashvardhan Sharma; Petr Motlícek; Ondrej Bojar (WAT@ACL/IJCNLP, 2021)

Legal Text Classification and Summarization using Transformers and Joint Text Features. - Shaz Furniturewala; Racchit Jain; Vijay Kumari; Yashvardhan Sharma (FIRE (Working Notes), 2021)

Detection of Threat Records by Analyzing the Tweets in Urdu Language Exploring Deep Learning Transformer - Based Models. - Sakshi Kalra; Mehul Agrawal; Yashvardhan Sharma (FIRE (Working Notes), 2021)

Detection of Abusive Records by Analyzing the Tweets in Urdu Language Exploring Transformer Based Models. - Sakshi Kalra; Yash Bansal; Yashvardhan Sharma (FIRE (Working Notes), 2021)

Applying Transfer Learning using BERT-Based Models for Hate Speech Detection. - Sakshi Kalra; Kalit Naresh Inani; Yashvardhan Sharma; Gajendra Singh Chauhan (FIRE (Working Notes), 2021)

Ensembling of Various Transformer Based Models for the Fake News Detection Task in the Urdu Language. - Sakshi Kalraa; Preetika Vermaa; Yashvardhan Sharma; Gajendra Singh Chauhan (FIRE (Working Notes), 2021)

Offensive Language Classification of Code-Mixed Tamil with Keras. - Suchismita Tripathy; Ameya Pathak; Yashvardhan Sharma (FIRE (Working Notes), 2021)

A Three-Fold Machine Learning Approach for Detection of COVID-19 from Audio Data. - Nikhil Kumar; Vishal Mittal; Yashvardhan Sharma (ICCSA (3), 2021)

Application of Java Relationship Graphs (JRG) to plagiarism detection in Java Projects: A Neo4j Graph Database Approach. - Ritu Arora; Arun Motilal Maurya; Yashvardhan Sharma (ICSIM, 2021)

Fake News Detection: Experiments and Approaches beyond Linguistic Features. - Shaily Bhatt; Sakshi Kalra; Naman Goenka; Yashvardhan Sharma (CoRR, 2021)

Named Entity Recognition for Code Mixed Social Media Sentences. - Yashvardhan Sharma; Rupal Bhargava; Bapiraju Vamsi Tadikonda (Int. J. Softw. Sci. Comput. Intell., 2021)

Applying TF-IDF and BERT-based Variants under Multilabel Classification for Emotion Detection in Urdu Language. - Sakshi Kalra; Saransh Goel; Kushank Maheshwari; Yashvardhan Sharma; Shresht Bhowmick (FIRE (Working Notes), 2022)

Emotional Threat Speech Detection in Urdu Language using BERT Variants. - Sakshi Kalra; Kushank Maheshwari; Saransh Goel; Yashvardhan Sharma (FIRE (Working Notes), 2022)

Hate Speech Detection in Marathi and Code-Mixed Languages using TF-IDF and Transformers-Based BERT-Variants. - Sakshi Kalra; Kushank Maheshwari; Saransh Goel; Yashvardhan Sharma (FIRE (Working Notes), 2022)

Anaphora Resolution from Social Media Text. - Vijay Kumari; Shaz Furniturewala; Gautam Bhambhani; Yashvardhan Sharma (FIRE (Working Notes), 2022)

A comprehensive framework and tool for supporting progressive learning of software development in an academic learning environment. - Ritu Arora; Arun Motilal Maurya; Yashvardhan Sharma; Manoj Kannan (Comput. Appl. Eng. Educ., 2022)

BITS Pilani at HinglishEval: Quality Evaluation for Code-Mixed Hinglish Text Using Transformers. - Shaz Furniturewala; Vijay Kumari; Amulya Ratna Dash; Hriday Kedia; Yashvardhan Sharma (CoRR, 2022)

AENeT: an attention-enabled neural architecture for fake news detection using contextual features. - Vidit Jain; Rohit Kumar Kaliyar; Anurag Goswami; Pratik Narang; Yashvardhan Sharma (Neural Comput. Appl., 2022)

Explorative Application of Fusion Techniques for Multimodal Hate Speech Detection. - Siva Sai; Naman Deep Srivastava; Yashvardhan Sharma (SN Comput. Sci., 2022)

Multilingual Chatbot for Indian Languages. - Usneek Singh; Nisarg Vora; Punit Lohia; Yashvardhan Sharma; Ashutosh Bhatia; Kamlesh Tiwari (ICCCNT, 2023)

Optimizing Real-Time Bidding Strategies: An Experimental Analysis of Reinforcement Learning and Machine Learning Techniques. - Arti Jha; Harshit Jain; Parikshit Sharma; Yashvardhan Sharma; Kamlesh Tiwari (ICMLDE, 2023)

Impact of Transformer-Based Models and User Clustering in Early Fake News Detection in Social Media. - Sakshi Kalra; Yashvardhan Sharma; Mehul Agrawal; Sai Ratna Kashyap Mantri; Gajendra Singh Chauhan (ICPRAM, 2023)

FakeRevealer: A Multimodal Framework for Revealing the Falsity of Online Tweets Using Transformer-Based Architectures. - Sakshi Kalra; Yashvardhan Sharma; Priyansh Vyas; Gajendra Singh Chauhan (ICPRAM, 2023)

Automatic Subjective Answer Evaluation. - Vijay Kumari; Prachi Godbole; Yashvardhan Sharma (ICPRAM, 2023)

Visual Question Answering Analysis: Datasets, Methods, and Image Featurization Techniques. - Vijay Kumari; Abhimanyu Sethi; Yashvardhan Sharma; Lavika Goel (ICPRAM, 2023)

Steno AI at SemEval-2023 Task 6: Rhetorical Role Labelling of Legal Documents using Transformers and Graph Neural Networks. - Anshika Gupta; Shaz Furniturewala; Vijay Kumari; Yashvardhan Sharma (SemEval@ACL, 2023)

Rhetorical Role Labeling of Legal Documents using Transformers and Graph Neural Networks. - Anshika Gupta; Shaz Furniturewala; Vijay Kumari; Yashvardhan Sharma (CoRR, 2023)

Machine Learning-Based Optimization of E-Commerce Advertising Campaigns. - Arti Jha; Pratyut Sharma; Ritik Upmanyu; Yashvardhan Sharma; Kamlesh Tiwari (ICAART (2), 2024)

FAQ-Based Question Answering Systems with Query-Question and Query-Answer Similarity. - Vijay Kumari; Miloni Mittal; Yashvardhan Sharma; Lavika Goel (ICAART (3), 2024)

BITS Pilani at SemEval-2024 Task 10: Fine-tuning BERT and Llama 2 for Emotion Recognition in Conversation. - Dilip Venkatesh; Pasunti Prasanjith; Yashvardhan Sharma (SemEval@NAACL, 2024)

BITS Pilani at SemEval-2024 Task 9: Prompt Engineering with GPT-4 for Solving Brainteasers. - Dilip Venkatesh; Yashvardhan Sharma (SemEval@NAACL, 2024)

Impact of Decoding Methods on Human Alignment of Conversational LLMs. - Shaz Furniturewala; Kokil Jaidka; Yashvardhan Sharma (WASSA, 2024)

Generative AI for Cyber Security: Analyzing the Potential of ChatGPT, DALL-E, and Other Models for Enhancing the Security Space. - Siva Sai; Yashvardhan Sharma; Vinay Chamola; Biplab Sikdar 001 (IEEE Access, 2024)

TrPrNet: Early Parkinson Detection Network Using Marker-Less Gait Analysis. - Vikas Kumawat; Yashvardhan Sharma; Ashutosh Bhatia; Kamlesh Tiwari (AINA (3), 2025)

Sentiment-Aware Machine Translation for Indic Languages. - Amulya Ratna Dash; Harpreet Singh Anand; Yashvardhan Sharma (ICAART (1), 2025)

A Collaborative Approach to Multimodal Machine Translation: VLM and LLM. - Amulya Ratna Dash; Yashvardhan Sharma (ICAART (3), 2025)

Towards Improving Translation Ability of Large Language Models on Low Resource Languages. - Amulya Ratna Dash; Yashvardhan Sharma (ICPRAM, 2025)

A Multi-Modal Attentive Framework That Can Interpret Text (MMAT). - Vijay Kumari; Sarthak Gupta; Yashvardhan Sharma; Lavika Goel (IEEE Access, 2025)

Distributed and Decentralised Training: Technical Governance Challenges in a Shifting AI Landscape. - Jakub Krys; Yashvardhan Sharma; Janet Egan (CoRR, 2025)