Publications

• Improving Bilingual Capabilities of Language Models to Support Diverse Linguistic Practices in Education.
  Anand Syamkumar, Nora Tseng, Kaycie Barron, Shanglin Yang, Shamya Karumbaiah, Rheeya Uppaal, Junjie Hu.
  Preprint, 2024.
• Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity. [Talk]
  Rheeya Uppaal, Apratim Dey, Yiting He, Yiqiao Zhong, Junjie Hu
  In the Safe Generative AI Workshop at the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS), 2024.
• How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation?
  Rheeya Uppaal, Yixuan Li, Junjie Hu
  In the 9th Workshop on Representation Learning for NLP (Rep4NLP) at the 62nd Annual Meeting of the Association for Computational Linguistics (ACL), 2024.
• Evolving Domain Adaptation of Pretrained Language Models for Text Classification.
  Yun-Shiuan Chuang, Yi Wu, Dhruv Gupta, Rheeya Uppaal, Ananya Kumar, Luhang Sun, Makesh Narsimhan Sreedhar, Sijia Yang, Timothy T. Rogers, Junjie Hu
  In the Workshop on Distribution Shifts at the Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), 2023.
• Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection. [Covered in media by CASMI] [Talk] [Code]
  Rheeya Uppaal, Junjie Hu, Yixuan Li.
  In the 61st Annual Meeting of the Association for Computational Linguistics (ACL), 2023.
• Long Document Summarization in a Low Resource Setting using Pretrained Language Models.
  Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum
  In the Student Workshop at the Joint Conference of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (ACL-IJCNLP), 2021.
• Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition.
  Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum.
  In the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2020 (Journal Track)
• LRS-DAG: Low Resource Supervised Domain Adaptation with Generalization Across Domains. [Talk]
  Rheeya Uppaal
  In the New in ML Workshop of the Thirty-third Conference on Neural Information Processing Systems (NeurIPS), 2019.
• Multi-resolution Attention with Signal Splitting for Multivariate Time Series Classification.
  Rheeya Uppaal, Bryon Kucharski, Bhanu Pratap Singh, Iman Deznabi, Madelina Fiterau.
  Time Series Workshop of The Thirty-sixth International Conference on Machine Learning (ICML), 2019.
• Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT)
  Bhanu Pratap Singh, Iman Deznabi, Rheeya Uppaal, Bryon Kucharski, Bharath Narasimhan, Akhila Josyula, Madelina Fiterau.
  Preprint.
• Leveraging One's Impact Through Digital Persona and Image Management for Enhanced Effectiveness and Competitive Advantage.
  Kuiljeit Uppaal, Rheeya Uppaal
  Elsevier, 2018.
• Exploring Robust Vehicle Detection and Tracking Methods for Various Illumination Settings using Infrared Thermographic Images
  Rheeya Uppaal.
  In the International Journal of Research in Advent Technology, Special Issue National Conference NCPC, 2016.
• Exploring the Facets of Colonization of the Red Planet – Mars.
  Rheeya Uppaal
  In the Student Conference on Emerging Technologies and Innovations, 2014.