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Milan Aggarwal
Milan Aggarwal
Machine Learning Research Scientist
Dirección de correo verificada de adobe.com
Título
Citado por
Citado por
Año
Conversational agent for search
B Krishnamurthy, S Sodhani, A Arora, M Aggarwal
US Patent 10,713,317, 2020
432020
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
172020
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
162020
TAN-NTM: Topic attention networks for neural topic modeling
M Panwar, S Shailabh, M Aggarwal, B Krishnamurthy
arXiv preprint arXiv:2012.01524, 2020
152020
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
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
112022
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
112020
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
82023
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
62019
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, ...
The 2023 Conference on Empirical Methods in Natural Language Processing, 2023
22023
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
22023
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
22023
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
22023
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
12023
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
12021
Attention aware multi-modal model for content understanding
Y Kumar, V Ahlawat, R Zhang, M Aggarwal, GK Palwe, B Krishnamurthy, ...
US Patent App. 17/944,502, 2024
2024
LANGUAGE MODEL WITH EXTERNAL KNOWLEDGE BASE
S Bhatia, JN Kaur, R Bansal, M Aggarwal, B Krishnamurthy
US Patent App. 17/897,419, 2024
2024
CABINET: Content Relevance based Noise Reduction for Table Question Answering
S Patnaik, H Changwal, M Aggarwal, S Bhatia, Y Kumar, B Krishnamurthy
arXiv preprint arXiv:2402.01155, 2024
2024
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