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2020 – today
- 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, Tejas Vaidhya, Irina Rish:
LORD: Low Rank Decomposition Of Monolingual Code LLMs For One-Shot Compression. CoRR abs/2309.14021 (2023) - 2022
- [c7]Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf:
Logical Fallacy Detection. EMNLP (Findings) 2022: 7180-7198 - [i5]Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf:
Logical Fallacy Detection. CoRR abs/2202.13758 (2022) - 2021
- [c6]Ojasv Kamal, Adarsh Kumar, Tejas Vaidhya:
Hostility Detection in Hindi Leveraging Pre-trained Language Models. CONSTRAINT@AAAI 2021: 213-223 - [c5]Zhijing Jin, Zeyu Peng, Tejas Vaidhya, Bernhard Schölkopf, Rada Mihalcea:
Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States. EMNLP (Findings) 2021: 288-301 - [c4]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 - [c3]Jalaj Harkawat, Tejas Vaidhya:
Spanish Pre-Trained Language Models for HealthCare Industry. IberLEF@SEPLN 2021: 796-802 - [i4]Ojasv Kamal, Adarsh Kumar, Tejas Vaidhya:
Hostility Detection in Hindi leveraging Pre-Trained Language Models. CoRR abs/2101.05494 (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
- [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 - [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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