Beliz Gunel

24 papers A* 2B 1Journal 15Unranked 6
YearRankTypeTitle / Venue / Authors
2025 A* conf
PRISM: Efficient Long-Range Reasoning With Short-Context LLMs.
EMNLP
Dulhan Jayalath, James Bradley Wendt, Nicholas Monath, Sandeep Tata, Beliz Gunel
2025 J jnl
Predicting Task Performance with Context-aware Scaling Laws.
CoRR
Kyle Montgomery, David Park, Jianhong Tu, Michael Bendersky, Beliz Gunel, Dawn Song, Chenguang Wang
2025 B conf
SUMIE: A Synthetic Benchmark for Incremental Entity Summarization.
COLING
Eunjeong Hwang, Yichao Zhou, Beliz Gunel, James Bradley Wendt, Sandeep Tata
2024 J jnl
CASPR: Automated Evaluation Metric for Contrastive Summarization.
CoRR
Nirupan Ananthamurugan, Dat Duong, Philip George, Ankita Gupta, Sandeep Tata, Beliz Gunel
2024 — conf
Enhancing Incremental Summarization with Structured Representations.
EMNLP (Findings)
Eunjeong Hwang, Yichao Zhou, James B. Wendt, Beliz Gunel, Nguyen Vo, Jing Xie, Sandeep Tata
2024 J jnl
Enhancing Incremental Summarization with Structured Representations.
CoRR
Eunjeong Hwang, Yichao Zhou, James Bradley Wendt, Beliz Gunel, Nguyen Vo, Jing Xie, Sandeep Tata
2024 J jnl
Long-Range Tasks Using Short-Context LLMs: Incremental Reasoning With Structured Memories.
CoRR
Dulhan Jayalath, James Bradley Wendt, Nicholas Monath, Sandeep Tata, Beliz Gunel
2024 J jnl
MLAN: Language-Based Instruction Tuning Improves Zero-Shot Generalization of Multimodal Large Language Models.
CoRR
Jianhong Tu, Zhuohao Ni, Nicholas Crispino, Zihao Yu, Michael Bendersky, Beliz Gunel, Ruoxi Jia, Xin Liu, Lingjuan Lyu, Dawn Song, Chenguang Wang
2024 J jnl
STRUM-LLM: Attributed and Structured Contrastive Summarization.
CoRR
Beliz Gunel, James B. Wendt, Jing Xie, Yichao Zhou, Nguyen Vo, Zachary Fisher, Sandeep Tata
2024 J jnl
SUMIE: A Synthetic Benchmark for Incremental Entity Summarization.
CoRR
Eunjeong Hwang, Yichao Zhou, Beliz Gunel, James Bradley Wendt, Sandeep Tata
2023 — conf
STRUM: Extractive Aspect-Based Contrastive Summarization.
WWW (Companion Volume)
Beliz Gunel, Sandeep Tata, Marc Najork
2022 J jnl
Data-Efficient Information Extraction from Form-Like Documents.
CoRR
Beliz Gunel, Navneet Potti, Sandeep Tata, James B. Wendt, Marc Najork, Jing Xie
2022 J jnl
Data-Limited Tissue Segmentation using Inpainting-Based Self-Supervised Learning.
CoRR
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
2022 — conf
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction.
MICCAI (6)
Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly
2022 J jnl
Scale-Equivariant Unrolled Neural Networks for Data-Efficient Accelerated MRI Reconstruction.
CoRR
Beliz Gunel, Arda Sahiner, Arjun D. Desai, Akshay S. Chaudhari, Shreyas Vasanawala, Mert Pilanci, John M. Pauly
2022 — conf
VORTEX: Physics-Driven Data Augmentations Using Consistency Training for Robust Accelerated MRI Reconstruction.
MIDL
Arjun D. Desai, Beliz Gunel, Batu M. Ozturkler, Harris Beg, Shreyas Vasanawala, Brian A. Hargreaves, Christopher Ré, John M. Pauly, Akshay S. Chaudhari
2021 J jnl
Glean: Structured Extractions from Templatic Documents.
Proc. VLDB Endow.
Sandeep Tata, Navneet Potti, James B. Wendt, Lauro Beltrão Costa, Marc Najork, Beliz Gunel
2021 — conf
Self-training Improves Pre-training for Natural Language Understanding.
NAACL-HLT
Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Veselin Stoyanov, Alexis Conneau
2021 A* conf
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning.
ICLR
Beliz Gunel, Jingfei Du, Alexis Conneau, Veselin Stoyanov
2020 J jnl
Mind The Facts: Knowledge-Boosted Coherent Abstractive Text Summarization.
CoRR
Beliz Gunel, Chenguang Zhu, Michael Zeng, Xuedong Huang
2020 J jnl
Self-training Improves Pre-training for Natural Language Understanding.
CoRR
Jingfei Du, Edouard Grave, Beliz Gunel, Vishrav Chaudhary, Onur Celebi, Michael Auli, Ves Stoyanov, Alexis Conneau
2020 J jnl
Supervised Contrastive Learning for Pre-trained Language Model Fine-tuning.
CoRR
Beliz Gunel, Jingfei Du, Alexis Conneau, Ves Stoyanov
2019 — conf
Learning Mixed-Curvature Representations in Product Spaces.
ICLR (Poster)
Albert Gu, Frederic Sala, Beliz Gunel, Christopher Ré
2017 J jnl
Optimal Broadband Noise Matching to Inductive Sensors: Application to Magnetic Particle Imaging.
IEEE Trans. Biomed. Circuits Syst.
Bo Zheng, Patrick W. Goodwill, Neerav Dixit, Di Xiao, Wencong Zhang, Beliz Gunel, Kuan Lu, Greig C. Scott, Steven M. Conolly