Publications

To cite my work, please visit my Google Scholar page

Arun Raja, Hongtao Zhao, Christian Tyrchan, Eva Nittinger, Michael M. Bronstein, Charlotte Deane, Garrett M Morris

ICML 2024 - AI4Science & ML4LMS workshops

Royal Society of Chemistry AI in Chemistry Symposium 2024

Diverse and Consistent Multi-view Networks for Semi-supervised Regression

Cuong Manh Nguyen*, Arun Raja*,  Le Zhang, Xun Xu, Balagopal Unnikrishnan, Mohamed Ragab, Kangkang Lu, Chuan-Sheng Foo
(*Co-first authors)

ECML-PKDD 2023 (Journal Track) 

Multitask Prompted Training Enables Zero-Shot Task Generalization 

Victor Sanh, Albert Webson, Colin Raffel, Stephen H. Bach, Lintang Sutawika, Zaid Alyafeai, Antoine Chaffin, Arnaud Stiegler, Teven Le Scao, Arun Raja, Manan Dey, M Saiful Bari, Canwen Xu, Urmish Thakker, Shanya Sharma Sharma, Eliza Szczechla, Taewoon Kim, Gunjan Chhablani, Nihal Nayak, Debajyoti Datta, Jonathan Chang, Mike Tian-Jian Jiang, Han Wang, Matteo Manica, Sheng Shen, Zheng Xin Yong, Harshit Pandey, Rachel Bawden, Thomas Wang, Trishala Neeraj, Jos Rozen, Abheesht Sharma, Andrea Santilli, Thibault Fevry, Jason Alan Fries, Ryan Teehan, Stella Biderman, Leo Gao, Tali Bers, Thomas Wolf, Alexander M. Rush

ICLR 2022 Spotlight

Between words and characters: A Brief History of Open-Vocabulary Modeling and Tokenization in NLP

Sabrina J. Mielke, Zaid Alyafeai, Elizabeth Salesky, Colin Raffel, Manan Dey, Matthias Gallé, Arun Raja, Chenglei Si, Wilson Y. Lee, Benoît Sagot, Samson Tan

Automatic Punctuation Prediction using Sequence to Sequence Approaches

Arun Raja

Undergraduate Honors Thesis

A* HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition

Govind Narasimman*, Kangkang Lu*, Arun Raja*, Chuan Sheng Foo, Mohamed Sabry Aly, Jie Lin, Vijay Chandrasekhar
(*Co-first authors)

Extraction of human preferences

Nevan Wichers, Riccardo Volpato, Mislav Jurić, Arun Raja