Winners at W-NUT 2020 Shared Task-3: Leveraging Event Specific and Chunk Span information for Extracting COVID Entities from Tweets. - Ayush Kaushal; Tejas Vaidhya (W-NUT@EMNLP, 2020)

IITKGP at W-NUT 2020 Shared Task-1: Domain specific BERT representation for Named Entity Recognition of lab protocol. - Tejas Vaidhya; Ayush Kaushal (W-NUT@EMNLP, 2020)

Leveraging Event Specific and Chunk Span features to Extract COVID Events from tweets. - Ayush Kaushal; Tejas Vaidhya (CoRR, 2020)

Domain specific BERT representation for Named Entity Recognition of lab protocol. - Tejas Vaidhya; Ayush Kaushal (CoRR, 2020)

Hostility Detection in Hindi Leveraging Pre-trained Language Models. - Ojasv Kamal; Adarsh Kumar; Tejas Vaidhya (CONSTRAINT@AAAI, 2021)

Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP. - Zhijing Jin 001; Julius von Kügelgen; Jingwei Ni; Tejas Vaidhya; Ayush Kaushal; Mrinmaya Sachan; Bernhard Schölkopf (EMNLP (1), 2021)

Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States. - Zhijing Jin 001; Zeyu Peng; Tejas Vaidhya; Bernhard Schölkopf; Rada Mihalcea (EMNLP (Findings), 2021)

Spanish Pre-Trained Language Models for HealthCare Industry. - Jalaj Harkawat; Tejas Vaidhya (IberLEF@SEPLN, 2021)

Logical Fallacy Detection. - Zhijing Jin 001; Abhinav Lalwani; Tejas Vaidhya; Xiaoyu Shen; Yiwen Ding; Zhiheng Lyu; Mrinmaya Sachan; Rada Mihalcea; Bernhard Schölkopf (EMNLP (Findings), 2022)

LORD: Low Rank Decomposition Of Monolingual Code LLMs For One-Shot Compression. - Ayush Kaushal; Tejas Vaidhya; Irina Rish (CoRR, 2023)

Spectra: A Comprehensive Study of Ternary, Quantized, and FP16 Language Models. - Ayush Kaushal; Tejas Pandey; Tejas Vaidhya; Aaryan Bhagat; Irina Rish (CoRR, 2024)

Scaling Laws and Efficient Inference for Ternary Language Models. - Tejas Vaidhya; Ayush Kaushal; Vineet Jain; Francis Couture Harpin; Prashant Shishodia; Majid Behbahani; Yuriy Nevmyvaka; Irina Rish (ACL (1), 2025)

Surprising Effectiveness of pretraining Ternary Language Model at Scale. - Ayush Kaushal; Tejas Vaidhya; Arnab Kumar Mondal; Tejas Pandey; Aaryan Bhagat; Irina Rish (ICLR, 2025)

Spectra 1.1: Scaling Laws and Efficient Inference for Ternary Language Models. - Tejas Vaidhya; Ayush Kaushal; Vineet Jain; Francis Couture Harpin; Prashant Shishodia; Majid Behbahani; Yuriy Nevmyvaka; Irina Rish (CoRR, 2025)