Rheeya Uppaal

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 11

Top Topics

Document Summarization

Practical Issues

Domain Adaptation

Top Venues

Publications

Rheeya Uppaal, Yixuan Li, Junjie Hu
FEUDA: Frustratingly Easy Prompt Based Unsupervised Domain Adaptation. CoRR (2024)
Rheeya Uppaal, Apratim Dey, Yiting He, Yiqiao Zhong, Junjie Hu
DeTox: Toxic Subspace Projection for Model Editing. CoRR (2024)
Rheeya Uppaal, Junjie Hu, Yixuan Li
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection. CoRR (2023)
Yun-Shiuan Chuang, Yi Wu, Dhruv Gupta, Rheeya Uppaal, Ananya Kumar, Luhang Sun, Makesh Narsimhan Sreedhar, Sijia Yang, Timothy T. Rogers, Junjie Hu
Evolving Domain Adaptation of Pretrained Language Models for Text Classification. CoRR (2023)
Rheeya Uppaal, Junjie Hu, Yixuan Li
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection. ACL (1) (2023)
Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum
Long Document Summarization in a Low Resource Setting using Pretrained Language Models. CoRR (2021)
Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum
Long Document Summarization in a Low Resource Setting using Pretrained Language Models. ACL (student) (2021)
Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum
Using error decay prediction to overcome practical issues of deep active learning for named entity recognition. Mach. Learn. 109 (9-10) (2020)
Bhanu Pratap Singh, Iman Deznabi, Bharath Narasimhan, Bryon Kucharski, Rheeya Uppaal, Akhila Josyula, Madalina Fiterau
Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT). CoRR (2019)
Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum
Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition. CoRR (2019)
Rheeya Uppaal
LRS-DAG: Low Resource Supervised Domain Adaptation with Generalization Across Domains. CoRR (2019)