| Conversational agent for search B Krishnamurthy, S Sodhani, A Arora, M Aggarwal US Patent 10,713,317, 2020 | 43 | 2020 |
| Form2Seq: A framework for higher-order form structure extraction M Aggarwal, H Gupta, M Sarkar, B Krishnamurthy arXiv preprint arXiv:2107.04419, 2021 | 37* | 2021 |
| Exploring neural models for parsing natural language into first-order logic H Singh, M Aggrawal, B Krishnamurthy arXiv preprint arXiv:2002.06544, 2020 | 17 | 2020 |
| TAN-NTM: Topic attention networks for neural topic modeling M Panwar, S Shailabh, M Aggarwal, B Krishnamurthy arXiv preprint arXiv:2012.01524, 2020 | 16 | 2020 |
| Document structure extraction using prior based high resolution hierarchical semantic segmentation M Sarkar, M Aggarwal, A Jain, H Gupta, B Krishnamurthy European Conference on Computer Vision, 649-666, 2020 | 16 | 2020 |
| LM-CORE: Language models with contextually relevant external knowledge JN Kaur, S Bhatia, M Aggarwal, R Bansal, B Krishnamurthy arXiv preprint arXiv:2208.06458, 2022 | 12 | 2022 |
| Improving search through A3C reinforcement learning based conversational agent M Aggarwal, A Arora, S Sodhani, B Krishnamurthy Computational Science–ICCS 2018: 18th International Conference, Wuxi, China …, 2018 | 12* | 2018 |
| Multi-modal association based grouping for form structure extraction M Aggarwal, M Sarkar, H Gupta, B Krishnamurthy Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 11 | 2020 |
| Persuasion strategies in advertisements Y Kumar, R Jha, A Gupta, M Aggarwal, A Garg, T Malyan, A Bhardwaj, ... Proceedings of the AAAI conference on artificial intelligence 37 (1), 57-66, 2023 | 8 | 2023 |
| Using natural language processing and deep learning for mapping any schema data to a hierarchical standard data model (xdm) M Aggarwal, B Krishnamurthy, S Sodhani US Patent App. 15/921,369, 2019 | 6 | 2019 |
| CoSe-Co: Text Conditioned Generative CommonSense Contextualizer R Bansal, M Aggarwal, S Bhatia, JN Kaur, B Krishnamurthy NAACL 2022 - arXiv preprint arXiv:2206.05706, 2022 | 4* | 2022 |
| INGENIOUS: Using informative data subsets for efficient pre-training of language models HK Renduchintala, K Killamsetty, S Bhatia, M Aggarwal, G Ramakrishnan, ... Findings of the Association for Computational Linguistics: EMNLP 2023, 6690-6705, 2023 | 2 | 2023 |
| Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systems S Kumar, S Bhatia, M Aggarwal, T Chakraborty arXiv preprint arXiv:2307.07255, 2023 | 2 | 2023 |
| Computable contracts by extracting obligation logic graphs S Servantez, N Lipka, A Siu, M Aggarwal, B Krishnamurthy, A Garimella, ... Proceedings of the Nineteenth International Conference on Artificial …, 2023 | 2 | 2023 |
| Ingenious: Using informative data subsets for efficient pre-training of large language models HK Renduchintala, K Killamsetty, S Bhatia, M Aggarwal, G Ramakrishnan, ... arXiv preprint arXiv:2305.06677, 2023 | 2 | 2023 |
| One-shot doc snippet detection: Powering search in document beyond text A Java, S Deshmukh, M Aggarwal, S Jandial, M Sarkar, B Krishnamurthy Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 2 | 2023 |
| INDIGO: Intrinsic Multimodality for Domain Generalization P Mangla, S Chandhok, M Aggarwal, VN Balasubramanian, ... arXiv preprint arXiv:2206.05912, 2022 | 1 | 2022 |
| No need to know everything! efficiently augmenting language models with external knowledge JN Kaur, S Bhatia, M Aggarwal, R Bansal, B Krishnamurthy Workshop on Commonsense Reasoning and Knowledge Bases, 2021 | 1 | 2021 |
| SYSTEMS AND METHODS FOR DATA AUGMENTATION SV Deshmukh, S Jandial, A Java, M Aggarwal, M Sarkar, A Jain, ... US Patent App. 18/045,542, 2024 | | 2024 |
| Self-supervised hierarchical event representation learning S Roychowdhury, SA Sontakke, M Sarkar, N Puri, P Badjatiya, ... US Patent 11,948,358, 2024 | | 2024 |
