Milan Aggarwal
Orcid: 0000-0001-6246-9750Affiliations:
- Adobe, Noida, India
- Indian Institute of Technology Delhi, India (former)
According to our database1,
Milan Aggarwal
authored at least 24 papers
between 2017 and 2025.
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Bibliography
2025
It Helps to Take a Second Opinion: Teaching Smaller LLMs To Deliberate Mutually via Selective Rationale Optimisation.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025
Learning Together to Perform Better: Teaching Small-Scale LLMs to Collaborate via Preferential Rationale Tuning.
Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025
2024
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
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023
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
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023
2022
CoRR, 2022
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
2021
Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021
2020
CoRR, 2020
Proceedings of the IEEE Winter Conference on Applications of Computer Vision, 2020
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
Proceedings of the Computational Science - ICCS 2018, 2018
2017