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2020 – today
- 2024
[c7]Eunjeong Hwang, Yichao Zhou, James B. Wendt, Beliz Gunel, Nguyen Vo, Jing Xie, Sandeep Tata:
Enhancing Incremental Summarization with Structured Representations. EMNLP (Findings) 2024: 3830-3842- [i10]Beliz Gunel, James B. Wendt, Jing Xie, Yichao Zhou, Nguyen Vo, Zachary Fisher, Sandeep Tata:
STRUM-LLM: Attributed and Structured Contrastive Summarization. CoRR abs/2403.19710 (2024) - [i9]Nirupan Ananthamurugan, Dat Duong, Philip George, Ankita Gupta, Sandeep Tata, Beliz Gunel:
CASPR: Automated Evaluation Metric for Contrastive Summarization. CoRR abs/2404.15565 (2024) - [i8]Eunjeong Hwang, Yichao Zhou, Beliz Gunel, James Bradley Wendt, Sandeep Tata:
SUMIE: A Synthetic Benchmark for Incremental Entity Summarization. CoRR abs/2406.05079 (2024) - [i7]Eunjeong Hwang, Yichao Zhou, James Bradley Wendt, Beliz Gunel, Nguyen Vo, Jing Xie, Sandeep Tata:
Enhancing Incremental Summarization with Structured Representations. CoRR abs/2407.15021 (2024) - 2023
- [c6]Beliz Gunel
, Sandeep Tata, Marc Najork:
STRUM: Extractive Aspect-Based Contrastive Summarization. WWW (Companion Volume) 2023: 28-31 - 2022
- [c5]Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly:
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. MICCAI (6) 2022: 737-747 - [c4]Arjun D. Desai, Beliz Gunel, Batu M. Ozturkler, Harris Beg, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari:
VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction. MIDL 2022: 325-352 - [i6]Beliz Gunel, Navneet Potti, Sandeep Tata, James B. Wendt, Marc Najork, Jing Xie:
Data-Efficient Information Extraction from Form-Like Documents. CoRR abs/2201.02647 (2022) - [i5]Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly:
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction. CoRR abs/2204.10436 (2022) - [i4]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:
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning. CoRR abs/2210.07936 (2022) - 2021
- [j2]Sandeep Tata, Navneet Potti, James B. Wendt, Lauro Beltrão Costa, Marc Najork, Beliz Gunel:
Glean: Structured Extractions from Templatic Documents. Proc. VLDB Endow. 14(6): 997-1005 (2021) - [c3]Beliz Gunel, Jingfei Du, Alexis Conneau, Veselin Stoyanov:
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning. ICLR 2021 - [c2]Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Veselin Stoyanov, Alexis Conneau:
Self-training Improves Pre-training for Natural Language Understanding. NAACL-HLT 2021: 5408-5418 - 2020
- [i3]Beliz Gunel, Chenguang Zhu, Michael Zeng, Xuedong Huang:
Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization. CoRR abs/2006.15435 (2020) - [i2]Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Ves Stoyanov, Alexis Conneau:
Self-training Improves Pre-training for Natural Language Understanding. CoRR abs/2010.02194 (2020) - [i1]Beliz Gunel, Jingfei Du, Alexis Conneau, Ves Stoyanov:
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning. CoRR abs/2011.01403 (2020)
2010 – 2019
- 2019
- [c1]Albert Gu, Frederic Sala, Beliz Gunel, Christopher Ré:
Learning Mixed-Curvature Representations in Product Spaces. ICLR (Poster) 2019 - 2017
- [j1]Bo Zheng, Patrick W. Goodwill, Neerav Dixit, Di Xiao, Wencong Zhang, Beliz Gunel, Kuan Lu, Greig C. Scott, Steven M. Conolly:
Optimal Broadband Noise Matching to Inductive Sensors: Application to Magnetic Particle Imaging. IEEE Trans. Biomed. Circuits Syst. 11(5): 1041-1052 (2017)
Coauthor Index
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last updated on 2024-11-19 20:45 CET by the dblp team
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