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Journal Articles
- 2020
[j1]Ayush Kaushal
, Lyndon White, Mike Innes, Rohit Kumar:
WordTokenizers.jl: Basic tools for tokenizing natural language in Julia. J. Open Source Softw. 5(46): 1956 (2020)
Conference and Workshop Papers
- 2023
- [c8]Ayush Kaushal, Aditya Gupta, Shyam Upadhyay, Manaal Faruqui:
Efficient Encoders for Streaming Sequence Tagging. EACL 2023: 418-429 - 2022
- [c7]Aaryan Bhagat, Faraaz Mallick, Neel Karia, Ayush Kaushal:
INDEPROP: Information-Preserving De-propagandization of News Articles (Student Abstract). AAAI 2022: 12915-12916 - [c6]Ayush Kaushal, Kyle Mahowald:
What do tokens know about their characters and how do they know it? NAACL-HLT 2022: 2487-2507 - 2021
- [c5]Zhijing Jin, Julius von Kügelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schölkopf:
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP. EMNLP (1) 2021: 9499-9513 - [c4]Ayush Kaushal, Avirup Saha, Niloy Ganguly:
tWT-WT: A Dataset to Assert the Role of Target Entities for Detecting Stance of Tweets. NAACL-HLT 2021: 3879-3889 - [c3]Neel Karia, Ayush Kaushal, Faraaz Mallick:
KGP at SemEval-2021 Task 8: Leveraging Multi-Staged Language Models for Extracting Measurements, their Attributes and Relations. SemEval@ACL/IJCNLP 2021: 387-396 - 2020
- [c2]Tejas Vaidhya, Ayush Kaushal:
IITKGP at W-NUT 2020 Shared Task-1: Domain specific BERT representation for Named Entity Recognition of lab protocol. W-NUT@EMNLP 2020: 268-272 - [c1]Ayush Kaushal, Tejas Vaidhya:
Winners at W-NUT 2020 Shared Task-3: Leveraging Event Specific and Chunk Span information for Extracting COVID Entities from Tweets. W-NUT@EMNLP 2020: 522-529
Informal and Other Publications
- 2024
- [i7]Ayush Kaushal, Tejas Pandey, Tejas Vaidhya, Aaryan Bhagat, Irina Rish:
Spectra: A Comprehensive Study of Ternary, Quantized, and FP16 Language Models. CoRR abs/2407.12327 (2024) - 2023
- [i6]Ayush Kaushal, Aditya Gupta, Shyam Upadhyay, Manaal Faruqui:
Efficient Encoders for Streaming Sequence Tagging. CoRR abs/2301.09244 (2023) - [i5]Ayush Kaushal, Tejas Vaidhya, Irina Rish:
LORD: Low Rank Decomposition Of Monolingual Code LLMs For One-Shot Compression. CoRR abs/2309.14021 (2023) - 2022
- [i4]Ayush Kaushal, Kyle Mahowald:
What do tokens know about their characters and how do they know it? CoRR abs/2206.02608 (2022) - 2021
- [i3]Zhijing Jin, Julius von Kügelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schölkopf:
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP. CoRR abs/2110.03618 (2021) - 2020
- [i2]Ayush Kaushal, Tejas Vaidhya:
Leveraging Event Specific and Chunk Span features to Extract COVID Events from tweets. CoRR abs/2012.10052 (2020) - [i1]Tejas Vaidhya, Ayush Kaushal:
Domain specific BERT representation for Named Entity Recognition of lab protocol. CoRR abs/2012.11145 (2020)
Coauthor Index
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