Ayush Kaushal

Orcid: 0000-0002-6703-0728

According to our database1, Ayush Kaushal authored at least 13 papers between 2020 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Spectra: A Comprehensive Study of Ternary, Quantized, and FP16 Language Models.
CoRR, 2024

2023
LORD: Low Rank Decomposition Of Monolingual Code LLMs For One-Shot Compression.
CoRR, 2023

Efficient Encoders for Streaming Sequence Tagging.
Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

2022
What do tokens know about their characters and how do they know it?
Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

INDEPROP: Information-Preserving De-propagandization of News Articles (Student Abstract).
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
KGP at SemEval-2021 Task 8: Leveraging Multi-Staged Language Models for Extracting Measurements, their Attributes and Relations.
Proceedings of the 15th International Workshop on Semantic Evaluation, 2021

tWT-WT: A Dataset to Assert the Role of Target Entities for Detecting Stance of Tweets.
Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP.
Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020
WordTokenizers.jl: Basic tools for tokenizing natural language in Julia.
J. Open Source Softw., 2020

Domain specific BERT representation for Named Entity Recognition of lab protocol.
CoRR, 2020

Leveraging Event Specific and Chunk Span features to Extract COVID Events from tweets.
CoRR, 2020

IITKGP at W-NUT 2020 Shared Task-1: Domain specific BERT representation for Named Entity Recognition of lab protocol.
Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020

Winners at W-NUT 2020 Shared Task-3: Leveraging Event Specific and Chunk Span information for Extracting COVID Entities from Tweets.
Proceedings of the Sixth Workshop on Noisy User-generated Text, 2020


  Loading...