Rheeya Uppaal

5 papers · 2021–2026 · 3 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (15) ❓ The Questioner (2)

Venues

ACL (3) EACL (1) ICLR (1)

Top co-authors

Junjie Hu (3) Yixuan Li (2) Phu Mon Htut (1) Pavitra Dangati (1) Kalpesh Krishna (1) Apratim Dey (1) Pradhiksha Ashok Kumar (1) Min Bai (1) Sandesh Swamy (1) Dominic Dotterrer (1)

Research topics

Artificial Intelligence (3) Machine Learning (3) Application Areas (3) Core AI (2) Learning Types · Machine Learning (2) Deep Learning (1) Natural Language Processing (1) Generation (1) Learning Paradigms (1) Learning Types · Deep Learning (1) Models (1) Techniques (1)

Keywords

pre-trained language model (2) zero-shot learning (1) sample efficiency (1) domain generalization (1) direct preference optimization (1) document summarization (1) unsupervised domain adaptation (1) low-resource learning (1) model editing (1) continued pretraining (1) instruction tuning (1) out-of-distribution detection (1) distributional shift (1) multimodal reasoning (1) preference data (1) low-resource setting (1) domain-invariant representation (1) reasoning chain (1) abstractive summarization (1) chain of thought (1)

Papers

Journey Before Destination: On the importance of Visual Faithfulness in Slow Thinking EACL 2026 Model Editing as a Robust and Denoised variant of DPO: A Case Study on Toxicity ICLR 2025 How Useful is Continued Pre-Training for Generative Unsupervised Domain Adaptation? ACL 2024 Is Fine-tuning Needed? Pre-trained Language Models Are Near Perfect for Out-of-Domain Detection ACL 2023 Long Document Summarization in a Low Resource Setting using Pretrained Language Models ACL 2021