Rheeya Uppaal

According to our database, Rheeya Uppaal authored at least 13 papers between 2019 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

When Safety Fails Before the Answer: Benchmarking Harmful Behavior Detection in Reasoning Chains.

Ishita Kakkar, Enze Zhang, Rheeya Uppaal, Junjie Hu

CoRR, April, 2026

Shattered Compositionality: Counterintuitive Learning Dynamics of Transformers for Arithmetic.

Xingyu Zhao, Darsh Sharma, Rheeya Uppaal, Yiqiao Zhong

CoRR, January, 2026

Journey Before Destination: On the importance of Visual Faithfulness in Slow Thinking.

Rheeya Uppaal, Phu Mon Htut, Min Bai, Nikolaos Pappas, Zheng Qi, Sandesh Swamy

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

2025

Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity.

Rheeya Uppaal, Apratim Dey, Yiting He, Yiqiao Zhong, Junjie Hu

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

DeTox: Toxic Subspace Projection for Model Editing.

Rheeya Uppaal, Apratim Dey, Yiting He, Yiqiao Zhong, Junjie Hu

CoRR, 2024

FEUDA: Frustratingly Easy Prompt Based Unsupervised Domain Adaptation.

Rheeya Uppaal, Yixuan Li, Junjie Hu

CoRR, 2024

2023

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

CoRR, 2023

Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection.

Rheeya Uppaal, Junjie Hu, Yixuan Li

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2021

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

Proceedings of the ACL-IJCNLP 2021 Student Research Workshop, 2021

2020

Using error decay prediction to overcome practical issues of deep active learning for named entity recognition.

Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum

Mach. Learn., 2020

2019

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

CoRR, 2019

LRS-DAG: Low Resource Supervised Domain Adaptation with Generalization Across Domains.

Rheeya Uppaal

CoRR, 2019

Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT).

Bhanu Pratap Singh, Iman Deznabi, Bharath Narasimhan, Bryon Kucharski, Rheeya Uppaal, Akhila Josyula, Madalina Fiterau

CoRR, 2019