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2020 – today
- 2024
[c15]Ayush Maheshwari, Ashim Gupta, Amrith Krishna, Atul Kumar Singh, Ganesh Ramakrishnan, Anil Kumar Gourishetty, Jitin Singla:
Samayik: A Benchmark and Dataset for English-Sanskrit Translation. LREC/COLING 2024: 14298-14304- [c14]Zhichao Xu, Ashim Gupta, Tao Li, Oliver Bentham, Vivek Srikumar:
Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression. EMNLP (Findings) 2024: 15359-15396 - [c13]Ashim Gupta, Rishanth Rajendhran, Nathan Stringham, Vivek Srikumar, Ana Marasovic:
Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness. NAACL-HLT 2024: 5533-5590 - [i14]Ashim Gupta, Vivek Gupta, Shuo Zhang, Yujie He, Ning Zhang, Shalin Shah:
Enhancing Question Answering on Charts Through Effective Pre-training Tasks. CoRR abs/2406.10085 (2024) - [i13]Ashim Gupta, Sina Mahdipour Saravani, P. Sadayappan, Vivek Srikumar:
An Empirical Investigation of Matrix Factorization Methods for Pre-trained Transformers. CoRR abs/2406.11307 (2024) - [i12]Zhichao Xu, Ashim Gupta, Tao Li, Oliver Bentham, Vivek Srikumar:
Beyond Perplexity: Multi-dimensional Safety Evaluation of LLM Compression. CoRR abs/2407.04965 (2024) - 2023
- [c12]Ashim Gupta, Carter Wood Blum, Temma Choji, Yingjie Fei, Shalin Shah, Alakananda Vempala, Vivek Srikumar:
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text. ACL (1) 2023: 13981-13998 - [c11]Bhavuk Singhal, Ashim Gupta, Shivasankaran V. P, Amrith Krishna:
IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery. EMNLP (Findings) 2023: 14204-14216 - [c10]Ashim Gupta, Amrith Krishna:
Adversarial Clean Label Backdoor Attacks and Defenses on Text Classification Systems. RepL4NLP@ACL 2023: 1-12 - [i11]Ayush Maheshwari, Ashim Gupta, Amrith Krishna, Ganesh Ramakrishnan, G. Anil Kumar, Jitin Singla:
Sāmayik: A Benchmark and Dataset for English-Sanskrit Translation. CoRR abs/2305.14004 (2023) - [i10]Ashim Gupta, Carter Wood Blum, Temma Choji, Yingjie Fei, Shalin Shah, Alakananda Vempala, Vivek Srikumar:
Don't Retrain, Just Rewrite: Countering Adversarial Perturbations by Rewriting Text. CoRR abs/2305.16444 (2023) - [i9]Ashim Gupta, Amrith Krishna:
Adversarial Clean Label Backdoor Attacks and Defenses on Text Classification Systems. CoRR abs/2305.19607 (2023) - [i8]Bhavuk Singhal, Ashim Gupta, Shivasankaran V. P, Amrith Krishna:
IntenDD: A Unified Contrastive Learning Approach for Intent Detection and Discovery. CoRR abs/2310.16761 (2023) - [i7]Ashim Gupta, Rishanth Rajendhran, Nathan Stringham, Vivek Srikumar, Ana Marasovic:
Whispers of Doubt Amidst Echoes of Triumph in NLP Robustness. CoRR abs/2311.09694 (2023) - 2022
- [c9]Aniruddha Roy, Rupak Kumar Thakur, Isha Sharma, Ashim Gupta, Amrith Krishna, Sudeshna Sarkar, Pawan Goyal:
Does Meta-learning Help mBERT for Few-shot Question Generation in a Cross-lingual Transfer Setting for Indic Languages? COLING 2022: 4251-4257 - 2021
- [c8]Ashim Gupta, Giorgi Kvernadze, Vivek Srikumar:
BERT & Family Eat Word Salad: Experiments with Text Understanding. AAAI 2021: 12946-12954 - [c7]Ashim Gupta, Vivek Srikumar:
X-Fact: A New Benchmark Dataset for Multilingual Fact Checking. ACL/IJCNLP (2) 2021: 675-682 - [c6]Jivnesh Sandhan, Amrith Krishna, Ashim Gupta, Laxmidhar Behera, Pawan Goyal:
A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages. EACL (Student Research Workshop) 2021: 111-120 - [c5]Mattia Medina Grespan, Ashim Gupta, Vivek Srikumar:
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study. IJCAI 2021: 2812-2818 - [i6]Ashim Gupta, Giorgi Kvernadze, Vivek Srikumar:
BERT & Family Eat Word Salad: Experiments with Text Understanding. CoRR abs/2101.03453 (2021) - [i5]Jivnesh Sandhan, Amrith Krishna, Ashim Gupta, Laxmidhar Behera, Pawan Goyal:
A Little Pretraining Goes a Long Way: A Case Study on Dependency Parsing Task for Low-resource Morphologically Rich Languages. CoRR abs/2102.06551 (2021) - [i4]Ashim Gupta, Vivek Srikumar:
X-FACT: A New Benchmark Dataset for Multilingual Fact Checking. CoRR abs/2106.09248 (2021) - [i3]Mattia Medina Grespan, Ashim Gupta, Vivek Srikumar:
Evaluating Relaxations of Logic for Neural Networks: A Comprehensive Study. CoRR abs/2107.13646 (2021) - 2020
- [j1]Amrith Krishna, Bishal Santra, Ashim Gupta, Pavankumar Satuluri, Pawan Goyal:
A Graph-Based Framework for Structured Prediction Tasks in Sanskrit. Comput. Linguistics 46(4): 785-845 (2020) - [c4]Amrith Krishna, Ashim Gupta, Deepak Garasangi, Pavankumar Satuluri, Pawan Goyal:
Keep it Surprisingly Simple: A Simple First Order Graph Based Parsing Model for Joint Morphosyntactic Parsing in Sanskrit. EMNLP (1) 2020: 4791-4797 - [c3]Ashim Gupta, Amrith Krishna, Pawan Goyal, Oliver Hellwig:
Evaluating Neural Morphological Taggers for Sanskrit. SIGMORPHON 2020: 198-203 - [i2]Amrith Krishna, Ashim Gupta, Deepak Garasangi, Jivnesh Sandhan, Pavankumar Satuluri, Pawan Goyal:
Neural Approaches for Data Driven Dependency Parsing in Sanskrit. CoRR abs/2004.08076 (2020) - [i1]Ashim Gupta, Amrith Krishna, Pawan Goyal, Oliver Hellwig:
Evaluating Neural Morphological Taggers for Sanskrit. CoRR abs/2005.10893 (2020)
2010 – 2019
- 2019
- [c2]Ashim Gupta, Pawan Goyal, Sudeshna Sarkar
, Mahanandeeshwar Gattu:
Fully Contextualized Biomedical NER. ECIR (2) 2019: 117-124 - 2018
- [c1]Malay Pramanick, Ashim Gupta, Pabitra Mitra:
An LSTM-CRF Based Approach to Token-Level Metaphor Detection. Fig-Lang@NAACL-HLT 2018: 67-75
Coauthor Index
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