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ORCIDMilan Aggarwal
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2020 – today
- 2024
[c12]Sohan Patnaik, Heril Changwal, Milan Aggarwal, Sumit Bhatia, Yaman Kumar, Balaji Krishnamurthy:
CABINET: Content Relevance-based Noise Reduction for Table Question Answering. ICLR 2024- [i16]Sohan Patnaik, Heril Changwal, Milan Aggarwal, Sumit Bhatia, Yaman Kumar, Balaji Krishnamurthy:
CABINET: Content Relevance based Noise Reduction for Table Question Answering. CoRR abs/2402.01155 (2024) - 2023
- [c11]Yaman Kumar, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Tushar Malyan, Ayush Bhardwaj, Rajiv Ratn Shah, Balaji Krishnamurthy, Changyou Chen:
Persuasion Strategies in Advertisements. AAAI 2023: 57-66 - [c10]H. S. V. N. S. Kowndinya Renduchintala, Krishnateja Killamsetty, Sumit Bhatia, Milan Aggarwal, Ganesh Ramakrishnan, Rishabh K. Iyer, Balaji Krishnamurthy:
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models. EMNLP (Findings) 2023: 6690-6705 - [c9]Sergio Servantez
, Nedim Lipka, Alexa F. Siu, Milan Aggarwal, Balaji Krishnamurthy, Aparna Garimella, Kristian J. Hammond, Rajiv Jain:
Computable Contracts by Extracting Obligation Logic Graphs. ICAIL 2023: 267-276 - [c8]Abhinav Java, Shripad V. Deshmukh, Milan Aggarwal, Surgan Jandial, Mausoom Sarkar, Balaji Krishnamurthy:
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text. WACV 2023: 5426-5435 - [i15]H. S. V. N. S. Kowndinya Renduchintala, Krishnateja Killamsetty, Sumit Bhatia, Milan Aggarwal, Ganesh Ramakrishnan, Rishabh K. Iyer, Balaji Krishnamurthy:
INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Large Language Models. CoRR abs/2305.06677 (2023) - [i14]Shivani Kumar, Sumit Bhatia, Milan Aggarwal, Tanmoy Chakraborty:
Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systems. CoRR abs/2307.07255 (2023) - 2022
- [c7]Jivat Neet Kaur, Sumit Bhatia, Milan Aggarwal, Rachit Bansal, Balaji Krishnamurthy:
LM-CORE: Language Models with Contextually Relevant External Knowledge. NAACL-HLT (Findings) 2022: 750-769 - [c6]Rachit Bansal, Milan Aggarwal, Sumit Bhatia, Jivat Neet Kaur, Balaji Krishnamurthy:
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer. NAACL-HLT 2022: 1128-1143 - [i13]Rachit Bansal, Milan Aggarwal, Sumit Bhatia, Jivat Neet Kaur, Balaji Krishnamurthy:
CoSe-Co: Text Conditioned Generative CommonSense Contextualizer. CoRR abs/2206.05706 (2022) - [i12]Puneet Mangla, Shivam Chandhok, Milan Aggarwal, Vineeth N. Balasubramanian, Balaji Krishnamurthy:
INDIGO: Intrinsic Multimodality for Domain Generalization. CoRR abs/2206.05912 (2022) - [i11]Jivat Neet Kaur, Sumit Bhatia, Milan Aggarwal, Rachit Bansal, Balaji Krishnamurthy:
LM-CORE: Language Models with Contextually Relevant External Knowledge. CoRR abs/2208.06458 (2022) - [i10]Yaman Kumar Singla, Rajat Jha, Arunim Gupta, Milan Aggarwal, Aditya Garg, Ayush Bhardwaj, Tushar Malyan, Balaji Krishnamurthy, Rajiv Ratn Shah, Changyou Chen:
Persuasion Strategies in Advertisements: Dataset, Modeling, and Baselines. CoRR abs/2208.09626 (2022) - [i9]Abhinav Java, Shripad V. Deshmukh, Milan Aggarwal, Surgan Jandial, Mausoom Sarkar, Balaji Krishnamurthy:
One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text. CoRR abs/2209.06584 (2022) - 2021
- [c5]Madhur Panwar, Shashank Shailabh, Milan Aggarwal, Balaji Krishnamurthy:
TAN-NTM: Topic Attention Networks for Neural Topic Modeling. ACL/IJCNLP (1) 2021: 3865-3880 - [i8]Milan Aggarwal, Mausoom Sarkar, Hiresh Gupta, Balaji Krishnamurthy:
Multi-Modal Association based Grouping for Form Structure Extraction. CoRR abs/2107.04396 (2021) - [i7]Milan Aggarwal, Hiresh Gupta, Mausoom Sarkar, Balaji Krishnamurthy:
Form2Seq : A Framework for Higher-Order Form Structure Extraction. CoRR abs/2107.04419 (2021) - 2020
- [c4]Mausoom Sarkar, Milan Aggarwal, Arneh Jain, Hiresh Gupta, Balaji Krishnamurthy:
Document Structure Extraction Using Prior Based High Resolution Hierarchical Semantic Segmentation. ECCV (28) 2020: 649-666 - [c3]Milan Aggarwal, Hiresh Gupta, Mausoom Sarkar, Balaji Krishnamurthy:
Form2Seq : A Framework for Higher-Order Form Structure Extraction. EMNLP (1) 2020: 3830-3840 - [c2]Milan Aggarwal, Mausoom Sarkar, Hiresh Gupta, Balaji Krishnamurthy:
Multi-Modal Association based Grouping for Form Structure Extraction. WACV 2020: 2064-2073 - [i6]Hrituraj Singh, Milan Aggarwal, Balaji Krishnamurthy:
Exploring Neural Models for Parsing Natural Language into First-Order Logic. CoRR abs/2002.06544 (2020) - [i5]Sumegh Roychowdhury, Sumedh A. Sontakke, Nikaash Puri, Mausoom Sarkar, Milan Aggarwal, Pinkesh Badjatiya, Balaji Krishnamurthy, Laurent Itti:
Unsupervised Hierarchical Concept Learning. CoRR abs/2010.02556 (2020) - [i4]Madhur Panwar, Shashank Shailabh, Milan Aggarwal, Balaji Krishnamurthy:
TAN-NTM: Topic Attention Networks for Neural Topic Modeling. CoRR abs/2012.01524 (2020)
2010 – 2019
- 2019
- [i3]Mausoom Sarkar, Milan Aggarwal, Arneh Jain, Hiresh Gupta, Balaji Krishnamurthy:
Document Structure Extraction for Forms using Very High Resolution Semantic Segmentation. CoRR abs/1911.12170 (2019) - 2018
- [c1]Milan Aggarwal, Aarushi Arora, Shagun Sodhani, Balaji Krishnamurthy:
Improving Search Through A3C Reinforcement Learning Based Conversational Agent. ICCS (2) 2018: 273-286 - [i2]Milan Aggarwal, Nupur Kumari, Ayush Bansal, Balaji Krishnamurthy:
ReDecode Framework for Iterative Improvement in Paraphrase Generation. CoRR abs/1811.04454 (2018) - 2017
- [i1]Milan Aggarwal, Aarushi Arora, Shagun Sodhani, Balaji Krishnamurthy:
Reinforcement Learning Based Conversational Search Assistant. CoRR abs/1709.05638 (2017)
Coauthor Index
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last updated on 2024-07-30 21:38 CEST by the dblp team
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