Ashim Gupta

According to our database, Ashim Gupta authored at least 20 papers between 2018 and 2024.

Collaborative distances:

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

2024

An Empirical Investigation of Matrix Factorization Methods for Pre-trained Transformers.

Ashim Gupta, Sina Mahdipour Saravani, P. Sadayappan, Vivek Srikumar

CoRR, 2024

Enhancing Question Answering on Charts Through Effective Pre-training Tasks.

Ashim Gupta, Vivek Gupta, Shuo Zhang, Yujie He, Ning Zhang, Shalin Shah

CoRR, 2024

Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness.

Ashim Gupta, Rishanth Rajendhran, Nathan Stringham, Vivek Srikumar, Ana Marasovic

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression.

Zhichao Xu, Ashim Gupta, Tao Li, Oliver Bentham, Vivek Srikumar

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Samayik: A Benchmark and Dataset for English-Sanskrit Translation.

Ayush Maheshwari, Ashim Gupta, Amrith Krishna, Atul Kumar Singh, Ganesh Ramakrishnan, Anil Kumar Gourishetty, Jitin Singla

Proceedings of the 2024 Joint International Conference on Computational Linguistics, 2024

2023

Sāmayik: A Benchmark and Dataset for English-Sanskrit Translation.

Ayush Maheshwari, Ashim Gupta, Amrith Krishna, Ganesh Ramakrishnan, G. Anil Kumar, Jitin Singla

CoRR, 2023

Adversarial Clean Label Backdoor Attacks and Defenses on Text Classification Systems.

Ashim Gupta, Amrith Krishna

Proceedings of the 8th Workshop on Representation Learning for NLP, 2023

IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery.

Bhavuk Singhal, Ashim Gupta, Shivasankaran V. P, Amrith Krishna

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

Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text.

Ashim Gupta, Carter Wood Blum, Temma Choji, Yingjie Fei, Shalin Shah, Alakananda Vempala, Vivek Srikumar

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages?

Aniruddha Roy, Rupak Kumar Thakur, Isha Sharma, Ashim Gupta, Amrith Krishna, Sudeshna Sarkar, Pawan Goyal

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study.

Mattia Medina Grespan, Ashim Gupta, Vivek Srikumar

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages.

Jivnesh Sandhan, Amrith Krishna, Ashim Gupta, Laxmidhar Behera, Pawan Goyal

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Student Research Workshop, 2021

X-Fact: A New Benchmark Dataset for Multilingual Fact Checking.

Ashim Gupta, Vivek Srikumar

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

BERT & Family Eat Word Salad: Experiments with Text Understanding.

Ashim Gupta, Giorgi Kvernadze, Vivek Srikumar

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Neural Approaches for Data Driven Dependency Parsing in Sanskrit.

Amrith Krishna, Ashim Gupta, Deepak Garasangi, Jivnesh Sandhan, Pavankumar Satuluri, Pawan Goyal

CoRR, 2020

A Graph-Based Framework for Structured Prediction Tasks in Sanskrit.

Amrith Krishna, Bishal Santra, Ashim Gupta, Pavankumar Satuluri, Pawan Goyal

Comput. Linguistics, 2020

Evaluating Neural Morphological Taggers for Sanskrit.

Ashim Gupta, Amrith Krishna, Pawan Goyal, Oliver Hellwig

Proceedings of the 17th SIGMORPHON Workshop on Computational Research in Phonetics, 2020

Keep it Surprisingly Simple: A Simple First Order Graph Based Parsing Model for Joint Morphosyntactic Parsing in Sanskrit.

Amrith Krishna, Ashim Gupta, Deepak Garasangi, Pavankumar Satuluri, Pawan Goyal

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

2019

Fully Contextualized Biomedical NER.

Ashim Gupta, Pawan Goyal, Sudeshna Sarkar, Mahanandeeshwar Gattu

Proceedings of the Advances in Information Retrieval, 2019

2018

An LSTM-CRF Based Approach to Token-Level Metaphor Detection.

Malay Pramanick, Ashim Gupta, Pabitra Mitra

Proceedings of the Workshop on Figurative Language Processing, 2018