| 2023 | COMAD | Teaching Old DB Neu(ral) Tricks: Learning Embeddings on Multi-tabular Databases. | Garima Gaur, Rajat Singh, Siddhant Arora, Vinayak Gupta, Srikanta Bedathur |
| 2018 | CICLING | Sentiment Analysis of Code-Mixed Languages Leveraging Resource Rich Languages. | Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava |
| 2018 | CICLING | Emotions Are Universal: Learning Sentiment Based Representations of Resource-Poor Languages Using Siamese Networks. | Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava |
| 2018 | CICLING | Contrastive Learning of Emoji-Based Representations for Resource-Poor Languages. | Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava |
| 2018 | CICLING | Neural Network Architecture for Credibility Assessment of Textual Claims (Best Paper Award, First Place). | Nurendra Choudhary, Rajat Singh, Ishita Bindlish, Manish Shrivastava |
| 2018 | CICLING | Automatic Normalization of Word Variations in Code-Mixed Social Media Text. | Rajat Singh, Nurendra Choudhary, Manish Shrivastava |
| 2018 | COLING | Twitter corpus of Resource-Scarce Languages for Sentiment Analysis and Multilingual Emoji Prediction. | Nurendra Choudhary, Rajat Singh, Vijjini Anvesh Rao, Manish Shrivastava |