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ORCIDRheeya Uppaal
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2020 – today
- 2024
[i8]Rheeya Uppaal, Yixuan Li, Junjie Hu:
FEUDA: Frustratingly Easy Prompt Based Unsupervised Domain Adaptation. CoRR abs/2401.17514 (2024)- [i7]Rheeya Uppaal, Apratim Dey, Yiting He, Yiqiao Zhong, Junjie Hu:
DeTox: Toxic Subspace Projection for Model Editing. CoRR abs/2405.13967 (2024) - 2023
- [c2]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: 12813-12832 - [i6]Rheeya Uppaal, Junjie Hu, Yixuan Li:
Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection. CoRR abs/2305.13282 (2023) - [i5]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 abs/2311.09661 (2023) - 2021
- [c1]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: 71-80 - [i4]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 abs/2103.00751 (2021) - 2020
- [j1]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): 1749-1778 (2020)
2010 – 2019
- 2019
- [i3]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 abs/1905.00125 (2019) - [i2]Rheeya Uppaal:
LRS-DAG: Low Resource Supervised Domain Adaptation with Generalization Across Domains. CoRR abs/1909.06718 (2019) - [i1]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 abs/1911.07335 (2019)
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