Rheeya Uppaal - RankMe

15 papers A* 1Journal 11Unranked 3

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Journey Before Destination: On the importance of Visual Faithfulness in Slow Thinking. EACL (Volume 1: Long Papers) Rheeya Uppaal, Phu Mon Htut, Min Bai, Nikolaos Pappas, Zheng Qi, Sandesh Swamy
2026	J	`jnl`	Shattered Compositionality: Counterintuitive Learning Dynamics of Transformers for Arithmetic. CoRR Xingyu Zhao, Darsh Sharma, Rheeya Uppaal, Yiqiao Zhong
2025	J	`jnl`	Journey Before Destination: On the importance of Visual Faithfulness in Slow Thinking. CoRR Rheeya Uppaal, Phu Mon Htut, Min Bai, Nikolaos Pappas, Zheng Qi, Sandesh Swamy
2025	A*	`conf`	Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity. ICLR Rheeya Uppaal, Apratim Dey, Yiting He, Yiqiao Zhong, Junjie Hu
2024	J	`jnl`	DeTox: Toxic Subspace Projection for Model Editing. CoRR Rheeya Uppaal, Apratim Dey, Yiting He, Yiqiao Zhong, Junjie Hu
2024	J	`jnl`	FEUDA: Frustratingly Easy Prompt Based Unsupervised Domain Adaptation. CoRR Rheeya Uppaal, Yixuan Li, Junjie Hu
2023	J	`jnl`	Evolving Domain Adaptation of Pretrained Language Models for Text Classification. CoRR Yun-Shiuan Chuang, Yi Wu, Dhruv Gupta, Rheeya Uppaal, Ananya Kumar, Luhang Sun, Makesh Narsimhan Sreedhar, Sijia Yang, Timothy T. Rogers, Junjie Hu
2023	—	`conf`	Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection. ACL (1) Rheeya Uppaal, Junjie Hu, Yixuan Li
2023	J	`jnl`	Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection. CoRR Rheeya Uppaal, Junjie Hu, Yixuan Li
2021	—	`conf`	Long Document Summarization in a Low Resource Setting using Pretrained Language Models. ACL (student) Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum
2021	J	`jnl`	Long Document Summarization in a Low Resource Setting using Pretrained Language Models. CoRR Ahsaas Bajaj, Pavitra Dangati, Kalpesh Krishna, Pradhiksha Ashok Kumar, Rheeya Uppaal, Bradford Windsor, Eliot Brenner, Dominic Dotterrer, Rajarshi Das, Andrew McCallum
2020	J	`jnl`	Using error decay prediction to overcome practical issues of deep active learning for named entity recognition. Mach. Learn. Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum
2019	J	`jnl`	LRS-DAG: Low Resource Supervised Domain Adaptation with Generalization Across Domains. CoRR Rheeya Uppaal
2019	J	`jnl`	Multi-resolution Networks For Flexible Irregular Time Series Modeling (Multi-FIT). CoRR Bhanu Pratap Singh, Iman Deznabi, Bharath Narasimhan, Bryon Kucharski, Rheeya Uppaal, Akhila Josyula, Madalina Fiterau
2019	J	`jnl`	Overcoming Practical Issues of Deep Active Learning and its Applications on Named Entity Recognition. CoRR Haw-Shiuan Chang, Shankar Vembu, Sunil Mohan, Rheeya Uppaal, Andrew McCallum