Optimal Broadband Noise Matching to Inductive Sensors: Application to Magnetic Particle Imaging. - Bo Zheng 003; Patrick W. Goodwill; Neerav Dixit; Di Xiao 002; Wencong Zhang; Beliz Gunel; Kuan Lu; Greig C. Scott; Steven M. Conolly (IEEE Trans. Biomed. Circuits Syst., 2017)

Learning Mixed-Curvature Representations in Product Spaces. - Albert Gu; Frederic Sala; Beliz Gunel; Christopher Ré (ICLR (Poster), 2019)

Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization. - Beliz Gunel; Chenguang Zhu 001; Michael Zeng 001; Xuedong Huang 001 (CoRR, 2020)

Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning. - Beliz Gunel; Jingfei Du; Alexis Conneau; Veselin Stoyanov (ICLR, 2021)

Self-training Improves Pre-training for Natural Language Understanding. - Jingfei Du; Edouard Grave; Beliz Gunel; Vishrav Chaudhary; Onur Celebi; Michael Auli; Veselin Stoyanov; Alexis Conneau (NAACL-HLT, 2021)

Glean: Structured Extractions from Templatic Documents. - Sandeep Tata; Navneet Potti; James B. Wendt; Lauro Beltrão Costa; Marc Najork; Beliz Gunel (Proc. VLDB Endow., 2021)

Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. - Beliz Gunel; Arda Sahiner; Arjun D. Desai; Akshay S. Chaudhari; Shreyas Vasanawala; Mert Pilanci; John M. Pauly (MICCAI (6), 2022)

VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction. - Arjun D. Desai; Beliz Gunel; Batu M. Ozturkler; Harris Beg; Shreyas Vasanawala; Brian A. Hargreaves; Christopher Ré; John M. Pauly; Akshay S. Chaudhari (MIDL, 2022)

Data-Efficient Information Extraction from Form-Like Documents. - Beliz Gunel; Navneet Potti; Sandeep Tata; James B. Wendt; Marc Najork; Jing Xie 002 (CoRR, 2022)

Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning. - Jeffrey Dominic; Nandita Bhaskhar; Arjun D. Desai; Andrew M. Schmidt; Elka B. Rubin; Beliz Gunel; Garry E. Gold; Brian A. Hargreaves; Leon Lenchik; Robert Boutin; Akshay S. Chaudhari (CoRR, 2022)

STRUM: Extractive Aspect-Based Contrastive Summarization. - Beliz Gunel; Sandeep Tata; Marc Najork (WWW (Companion Volume), 2023)

Enhancing Incremental Summarization with Structured Representations. - Eunjeong Hwang; Yichao Zhou 001; James B. Wendt; Beliz Gunel; Nguyen Vo; Jing Xie 002; Sandeep Tata (EMNLP (Findings), 2024)

STRUM-LLM: Attributed and Structured Contrastive Summarization. - Beliz Gunel; James B. Wendt; Jing Xie 002; Yichao Zhou 001; Nguyen Vo; Zachary Fisher; Sandeep Tata (CoRR, 2024)

CASPR: Automated Evaluation Metric for Contrastive Summarization. - Nirupan Ananthamurugan; Dat Duong; Philip George; Ankita Gupta; Sandeep Tata; Beliz Gunel (CoRR, 2024)

MLAN: Language-Based Instruction Tuning Improves Zero-Shot Generalization of Multimodal Large Language Models. - Jianhong Tu; Zhuohao Ni; Nicholas Crispino; Zihao Yu; Michael Bendersky; Beliz Gunel; Ruoxi Jia 001; Xin Liu; Lingjuan Lyu; Dawn Song; Chenguang Wang 001 (CoRR, 2024)

Long-Range Tasks Using Short-Context LLMs: Incremental Reasoning With Structured Memories. - Dulhan Jayalath; James Bradley Wendt; Nicholas Monath; Sandeep Tata; Beliz Gunel (CoRR, 2024)

SUMIE: A Synthetic Benchmark for Incremental Entity Summarization. - Eunjeong Hwang; Yichao Zhou 001; Beliz Gunel; James Bradley Wendt; Sandeep Tata (COLING, 2025)

Predicting Task Performance with Context-aware Scaling Laws. - Kyle Montgomery; David Park; Jianhong Tu; Michael Bendersky; Beliz Gunel; Dawn Song; Chenguang Wang 001 (CoRR, 2025)