Tejas Vaidhya

17 papers A* 1Journal 8Unranked 8
YearRankTypeTitle / Venue / Authors
2025 — conf
Scaling Laws and Efficient Inference for Ternary Language Models.
ACL (1)
Tejas Vaidhya, Ayush Kaushal, Vineet Jain, Francis Couture Harpin, Prashant Shishodia, Majid Behbahani, Yuriy Nevmyvaka, Irina Rish
2025 J jnl
Spectra 1.1: Scaling Laws and Efficient Inference for Ternary Language Models.
CoRR
Tejas Vaidhya, Ayush Kaushal, Vineet Jain, Francis Couture Harpin, Prashant Shishodia, Majid Behbahani, Yuriy Nevmyvaka, Irina Rish
2025 A* conf
Surprising Effectiveness of pretraining Ternary Language Model at Scale.
ICLR
Ayush Kaushal, Tejas Vaidhya, Arnab Kumar Mondal, Tejas Pandey, Aaryan Bhagat, Irina Rish
2024 J jnl
Spectra: A Comprehensive Study of Ternary, Quantized, and FP16 Language Models.
CoRR
Ayush Kaushal, Tejas Pandey, Tejas Vaidhya, Aaryan Bhagat, Irina Rish
2023 J jnl
LORD: Low Rank Decomposition Of Monolingual Code LLMs For One-Shot Compression.
CoRR
Ayush Kaushal, Tejas Vaidhya, Irina Rish
2022 — conf
Logical Fallacy Detection.
EMNLP (Findings)
Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf
2022 J jnl
Logical Fallacy Detection.
CoRR
Zhijing Jin, Abhinav Lalwani, Tejas Vaidhya, Xiaoyu Shen, Yiwen Ding, Zhiheng Lyu, Mrinmaya Sachan, Rada Mihalcea, Bernhard Schölkopf
2021 — conf
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP.
EMNLP (1)
Zhijing Jin, Julius von Kügelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schölkopf
2021 J jnl
Causal Direction of Data Collection Matters: Implications of Causal and Anticausal Learning for NLP.
CoRR
Zhijing Jin, Julius von Kügelgen, Jingwei Ni, Tejas Vaidhya, Ayush Kaushal, Mrinmaya Sachan, Bernhard Schölkopf
2021 — conf
Hostility Detection in Hindi Leveraging Pre-trained Language Models.
CONSTRAINT@AAAI
Ojasv Kamal, Adarsh Kumar, Tejas Vaidhya
2021 J jnl
Hostility Detection in Hindi leveraging Pre-Trained Language Models.
CoRR
Ojasv Kamal, Adarsh Kumar, Tejas Vaidhya
2021 — conf
Mining the Cause of Political Decision-Making from Social Media: A Case Study of COVID-19 Policies across the US States.
EMNLP (Findings)
Zhijing Jin, Zeyu Peng, Tejas Vaidhya, Bernhard Schölkopf, Rada Mihalcea
2021 — conf
Spanish Pre-Trained Language Models for HealthCare Industry.
IberLEF@SEPLN
Jalaj Harkawat, Tejas Vaidhya
2020 J jnl
Domain specific BERT representation for Named Entity Recognition of lab protocol.
CoRR
Tejas Vaidhya, Ayush Kaushal
2020 — conf
IITKGP at W-NUT 2020 Shared Task-1: Domain specific BERT representation for Named Entity Recognition of lab protocol.
W-NUT@EMNLP
Tejas Vaidhya, Ayush Kaushal
2020 J jnl
Leveraging Event Specific and Chunk Span features to Extract COVID Events from tweets.
CoRR
Ayush Kaushal, Tejas Vaidhya
2020 — conf
Winners at W-NUT 2020 Shared Task-3: Leveraging Event Specific and Chunk Span information for Extracting COVID Entities from Tweets.
W-NUT@EMNLP
Ayush Kaushal, Tejas Vaidhya