Popa, Lucian

9 publications

NeurIPS 2025 Activated LoRA: Fine-Tuned LLMs for Intrinsics Kristjan Greenewald, Luis A. Lastras, Thomas Parnell, Vraj Shah, Lucian Popa, Giulio Zizzo, Chulaka Gunasekara, Ambrish Rawat, David Daniel Cox

ICLR 2025 DELIFT: Data Efficient Language Model Instruction Fine-Tuning Ishika Agarwal, Krishnateja Killamsetty, Lucian Popa, Marina Danilevsky

AAAI 2024 Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains Yu Zhang, Yunyi Zhang, Yanzhen Shen, Yu Deng, Lucian Popa, Larisa Shwartz, ChengXiang Zhai, Jiawei Han

NeurIPS 2022 AUTOMATA: Gradient Based Data Subset Selection for Compute-Efficient Hyper-Parameter Tuning Krishnateja Killamsetty, Guttu Sai Abhishek, Aakriti Lnu, Ganesh Ramakrishnan, Alexandre Evfimievski, Lucian Popa, Rishabh Iyer

AAAI 2021 AutoText: An End-to-End AutoAI Framework for Text Arunima Chaudhary, Alayt Issak, Kiran Kate, Yannis Katsis, Abel N. Valente, Dakuo Wang, Alexandre V. Evfimievski, Sairam Gurajada, Ban Kawas, A. Cristiano I. Malossi, Lucian Popa, Tejaswini Pedapati, Horst Samulowitz, Martin Wistuba, Yunyao Li

WACV 2021 Global Table Extractor (GTE): A Framework for Joint Table Identification and Cell Structure Recognition Using Visual Context Xinyi Zheng, Douglas Burdick, Lucian Popa, Xu Zhong, Nancy Xin Ru Wang

AAAI 2021 Ontology-Enriched Query Answering on Relational Databases Shqiponja Ahmetaj, Vasilis Efthymiou, Ronald Fagin, Phokion G. Kolaitis, Chuan Lei, Fatma Özcan, Lucian Popa

AAAI 2020 PARTNER: Human-in-the-Loop Entity Name Understanding with Deep Learning Kun Qian, Poornima Chozhiyath Raman, Yunyao Li, Lucian Popa

AAAI 2019 Knowledge Refinement via Rule Selection Phokion G. Kolaitis, Lucian Popa, Kun Qian