Milan Aggarwal

Orcid: 0000-0001-6246-9750

According to our database1, Milan Aggarwal authored at least 21 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
CABINET: Content Relevance-based Noise Reduction for Table Question Answering.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Dialogue Agents 101: A Beginner's Guide to Critical Ingredients for Designing Effective Conversational Systems.
CoRR, 2023

INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Large Language Models.
CoRR, 2023

One-Shot Doc Snippet Detection: Powering Search in Document Beyond Text.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Computable Contracts by Extracting Obligation Logic Graphs.
Proceedings of the Nineteenth International Conference on Artificial Intelligence and Law, 2023

INGENIOUS: Using Informative Data Subsets for Efficient Pre-Training of Language Models.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Persuasion Strategies in Advertisements.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Persuasion Strategies in Advertisements: Dataset, Modeling, and Baselines.
CoRR, 2022

INDIGO: Intrinsic Multimodality for Domain Generalization.
CoRR, 2022

LM-CORE: Language Models with Contextually Relevant External Knowledge.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

CoSe-Co: Text Conditioned Generative CommonSense Contextualizer.
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

2021
TAN-NTM: Topic Attention Networks for Neural Topic Modeling.
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020
Unsupervised Hierarchical Concept Learning.
CoRR, 2020

Exploring Neural Models for Parsing Natural Language into First-Order Logic.
CoRR, 2020

Multi-Modal Association based Grouping for Form Structure Extraction.
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020

Form2Seq : A Framework for Higher-Order Form Structure Extraction.
Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Document Structure Extraction Using Prior Based High Resolution Hierarchical Semantic Segmentation.
Proceedings of the Computer Vision - ECCV 2020, 2020

2019
Document Structure Extraction for Forms using Very High Resolution Semantic Segmentation.
CoRR, 2019

2018
ReDecode Framework for Iterative Improvement in Paraphrase Generation.
CoRR, 2018

Improving Search Through A3C Reinforcement Learning Based Conversational Agent.
Proceedings of the Computational Science - ICCS 2018, 2018

2017
Reinforcement Learning Based Conversational Search Assistant.
CoRR, 2017


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