Bidisha Samanta

According to our database, Bidisha Samanta authored at least 22 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

LLM Augmented LLMs: Expanding Capabilities through Composition.

Rachit Bansal, Bidisha Samanta, Siddharth Dalmia, Nitish Gupta, Shikhar Vashishth, Sriram Ganapathy, Abhishek Bapna, Prateek Jain, Partha Talukdar

CoRR, 2024

2023

Transfer Learning for Low-Resource Multilingual Relation Classification.

Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti

ACM Trans. Asian Low Resour. Lang. Inf. Process., January, 2023

XTREME-UP: A User-Centric Scarce-Data Benchmark for Under-Represented Languages.

Sebastian Ruder, Jonathan H. Clark, Alexander Gutkin, Mihir Kale, Min Ma, Massimo Nicosia, Shruti Rijhwani, Parker Riley, Jean Michel A. Sarr, Xinyi Wang, John Wieting, Nitish Gupta, Anna Katanova, Christo Kirov, Dana L. Dickinson, Brian Roark, Bidisha Samanta, Connie Tao, David Ifeoluwa Adelani, Vera Axelrod, Isaac Caswell, Colin Cherry, Dan Garrette, R. Reeve Ingle, Melvin Johnson, Dmitry Panteleev, Partha Talukdar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Bootstrapping Multilingual Semantic Parsers using Large Language Models.

Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha Talukdar

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Entropy-guided Vocabulary Augmentation of Multilingual Language Models for Low-resource Tasks.

Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023

CrysGNN: Distilling Pre-trained Knowledge to Enhance Property Prediction for Crystalline Materials.

Kishalay Das, Bidisha Samanta, Pawan Goyal, Seung-Cheol Lee, Satadeep Bhattacharjee, Niloy Ganguly

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Bootstrapping Multilingual Semantic Parsers using Large Language Models.

Abhijeet Awasthi, Nitish Gupta, Bidisha Samanta, Shachi Dave, Sunita Sarawagi, Partha P. Talukdar

CoRR, 2022

Few-shot Controllable Style Transfer for Low-Resource Multilingual Settings.

Kalpesh Krishna, Deepak Nathani, Xavier Garcia, Bidisha Samanta, Partha Talukdar

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Few-shot Controllable Style Transfer for Low-Resource Settings: A Study in Indian Languages.

Kalpesh Krishna, Deepak Nathani, Xavier Garcia, Bidisha Samanta, Partha Talukdar

CoRR, 2021

A Data Bootstrapping Recipe for Low-Resource Multilingual Relation Classification.

Arijit Nag, Bidisha Samanta, Animesh Mukherjee, Niloy Ganguly, Soumen Chakrabarti

Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

A Hierarchical VAE for Calibrating Attributes while Generating Text using Normalizing Flow.

Bidisha Samanta, Mohit Agrawal, Niloy Ganguly

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

NEVAE: A Deep Generative Model for Molecular Graphs.

Bidisha Samanta, Abir De, Gourhari Jana, Vicenç Gómez, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez-Rodriguez

J. Mach. Learn. Res., 2020

Fine-grained Sentiment Controlled Text Generation.

Bidisha Samanta, Mohit Agarwal, Niloy Ganguly

CoRR, 2020

2019

A Deep Generative Model for Code Switched Text.

Bidisha Samanta, Sharmila Reddy, Hussain Jagirdar, Niloy Ganguly, Soumen Chakrabarti

Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019

Improved Sentiment Detection via Label Transfer from Monolingual to Synthetic Code-Switched Text.

Bidisha Samanta, Niloy Ganguly, Soumen Chakrabarti

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

NeVAE: A Deep Generative Model for Molecular Graphs.

Bidisha Samanta, Abir De, Gourhari Jana, Pratim Kumar Chattaraj, Niloy Ganguly, Manuel Gomez Rodriguez

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Designing Random Graph Models Using Variational Autoencoders With Applications to Chemical Design.

Bidisha Samanta, Abir De, Niloy Ganguly, Manuel Gomez-Rodriguez

CoRR, 2018

CRPP: Competing Recurrent Point Process for Modeling Visibility Dynamics in Information Diffusion.

Avirup Saha, Bidisha Samanta, Niloy Ganguly, Abir De

Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018

2017

Is this word borrowed? An automatic approach to quantify the likeliness of borrowing in social media.

Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee

CoRR, 2017

STRM: A sister tweet reinforcement process for modeling hashtag popularity.

Bidisha Samanta, Abir De, Niloy Ganguly

Proceedings of the 2017 IEEE Conference on Computer Communications, 2017

LMPP: A Large Margin Point Process Combining Reinforcement and Competition for Modeling Hashtag Popularity.

Bidisha Samanta, Abir De, Abhijnan Chakraborty, Niloy Ganguly

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

All that is English may be Hindi: Enhancing language identification through automatic ranking of the likeliness of word borrowing in social media.

Jasabanta Patro, Bidisha Samanta, Saurabh Singh, Abhipsa Basu, Prithwish Mukherjee, Monojit Choudhury, Animesh Mukherjee

Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing, 2017