Radu Soricut

According to our database, Radu Soricut authored at least 76 papers between 2002 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context.

Machel Reid, Nikolay Savinov, Denis Teplyashin, Dmitry Lepikhin, Timothy P. Lillicrap, Jean-Baptiste Alayrac, Radu Soricut, Angeliki Lazaridou, Orhan Firat, Julian Schrittwieser, Ioannis Antonoglou, Rohan Anil, Sebastian Borgeaud, Andrew M. Dai, Katie Millican, Ethan Dyer, Mia Glaese, Thibault Sottiaux, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, James Molloy, Jilin Chen, Michael Isard, Paul Barham, Tom Hennigan, Ross McIlroy, Melvin Johnson, Johan Schalkwyk, Eli Collins, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, Clemens Meyer, Gregory Thornton, Zhen Yang, Henryk Michalewski, Zaheer Abbas, Nathan Schucher, Ankesh Anand, Richard Ives, James Keeling, Karel Lenc, Salem Haykal, Siamak Shakeri, Pranav Shyam, Aakanksha Chowdhery, Roman Ring, Stephen Spencer, Eren Sezener, et al.

CoRR, 2024

2023

GeomVerse: A Systematic Evaluation of Large Models for Geometric Reasoning.

Mehran Kazemi, Hamidreza Alvari, Ankit Anand, Jialin Wu, Xi Chen, Radu Soricut

CoRR, 2023

Gemini: A Family of Highly Capable Multimodal Models.

Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M. Dai, Anja Hauth, Katie Millican, David Silver, Slav Petrov, Melvin Johnson, Ioannis Antonoglou, Julian Schrittwieser, Amelia Glaese, Jilin Chen, Emily Pitler, Timothy P. Lillicrap, Angeliki Lazaridou, Orhan Firat, James Molloy, Michael Isard, Paul Ronald Barham, Tom Hennigan, Benjamin Lee, Fabio Viola, Malcolm Reynolds, Yuanzhong Xu, Ryan Doherty, Eli Collins, Clemens Meyer, Eliza Rutherford, Erica Moreira, Kareem Ayoub, Megha Goel, George Tucker, Enrique Piqueras, Maxim Krikun, Iain Barr, Nikolay Savinov, Ivo Danihelka, Becca Roelofs, Anaïs White, Anders Andreassen, Tamara von Glehn, Lakshman Yagati, Mehran Kazemi, Lucas Gonzalez, Misha Khalman, Jakub Sygnowski, et al.

CoRR, 2023

Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-rank Experts.

Jialin Wu, Xia Hu, Yaqing Wang, Bo Pang, Radu Soricut

CoRR, 2023

Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling.

Yaqing Wang, Jialin Wu, Tanmaya Dabral, Jiageng Zhang, Geoff Brown, Chun-Ta Lu, Frederick Liu, Yi Liang, Bo Pang, Michael Bendersky, Radu Soricut

CoRR, 2023

PaLI-3 Vision Language Models: Smaller, Faster, Stronger.

Xi Chen, Xiao Wang, Lucas Beyer, Alexander Kolesnikov, Jialin Wu, Paul Voigtlaender, Basil Mustafa, Sebastian Goodman, Ibrahim Alabdulmohsin, Piotr Padlewski, Daniel Salz, Xi Xiong, Daniel Vlasic, Filip Pavetic, Keran Rong, Tianli Yu, Daniel Keysers, Xiaohua Zhai, Radu Soricut

CoRR, 2023

CausalLM is not optimal for in-context learning.

Nan Ding, Tomer Levinboim, Jialin Wu, Sebastian Goodman, Radu Soricut

CoRR, 2023

PaLI-X: On Scaling up a Multilingual Vision and Language Model.

Xi Chen, Josip Djolonga, Piotr Padlewski, Basil Mustafa, Soravit Changpinyo, Jialin Wu, Carlos Riquelme Ruiz, Sebastian Goodman, Xiao Wang, Yi Tay, Siamak Shakeri, Mostafa Dehghani, Daniel Salz, Mario Lucic, Michael Tschannen, Arsha Nagrani, Hexiang Hu, Mandar Joshi, Bo Pang, Ceslee Montgomery, Paulina Pietrzyk, Marvin Ritter, A. J. Piergiovanni, Matthias Minderer, Filip Pavetic, Austin Waters, Gang Li, Ibrahim Alabdulmohsin, Lucas Beyer, Julien Amelot, Kenton Lee, Andreas Peter Steiner, Yang Li, Daniel Keysers, Anurag Arnab, Yuanzhong Xu, Keran Rong, Alexander Kolesnikov, Mojtaba Seyedhosseini, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut

CoRR, 2023

PreSTU: Pre-Training for Scene-Text Understanding.

Jihyung Kil, Soravit Changpinyo, Xi Chen, Hexiang Hu, Sebastian Goodman, Wei-Lun Chao, Radu Soricut

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

MaXM: Towards Multilingual Visual Question Answering.

Soravit Changpinyo, Linting Xue, Michal Yarom, Ashish V. Thapliyal, Idan Szpektor, Julien Amelot, Xi Chen, Radu Soricut

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization.

Zifan Wang, Nan Ding, Tomer Levinboim, Xi Chen, Radu Soricut

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Connecting Vision and Language with Video Localized Narratives.

Paul Voigtlaender, Soravit Changpinyo, Jordi Pont-Tuset, Radu Soricut, Vittorio Ferrari

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting.

Su Wang, Chitwan Saharia, Ceslee Montgomery, Jordi Pont-Tuset, Shai Noy, Stefano Pellegrini, Yasumasa Onoe, Sarah Laszlo, David J. Fleet, Radu Soricut, Jason Baldridge, Mohammad Norouzi, Peter Anderson, William Chan

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control.

Brianna Zitkovich, Tianhe Yu, Sichun Xu, Peng Xu, Ted Xiao, Fei Xia, Jialin Wu, Paul Wohlhart, Stefan Welker, Ayzaan Wahid, Quan Vuong, Vincent Vanhoucke, Huong T. Tran, Radu Soricut, Anikait Singh, Jaspiar Singh, Pierre Sermanet, Pannag R. Sanketi, Grecia Salazar, Michael S. Ryoo, Krista Reymann, Kanishka Rao, Karl Pertsch, Igor Mordatch, Henryk Michalewski, Yao Lu, Sergey Levine, Lisa Lee, Tsang-Wei Edward Lee, Isabel Leal, Yuheng Kuang, Dmitry Kalashnikov, Ryan Julian, Nikhil J. Joshi, Alex Irpan, Brian Ichter, Jasmine Hsu, Alexander Herzog, Karol Hausman, Keerthana Gopalakrishnan, Chuyuan Fu, Pete Florence, Chelsea Finn, Kumar Avinava Dubey, Danny Driess, Tianli Ding, Krzysztof Marcin Choromanski, Xi Chen, Yevgen Chebotar, Justice Carbajal, Noah Brown, Anthony Brohan, Montserrat Gonzalez Arenas, Kehang Han

Proceedings of the Conference on Robot Learning, 2023

2022

2.5D visual relationship detection.

Yu-Chuan Su, Soravit Changpinyo, Xiangning Chen, Sathish Thoppay, Cho-Jui Hsieh, Lior Shapira, Radu Soricut, Hartwig Adam, Matthew Brown, Ming-Hsuan Yang, Boqing Gong

Comput. Vis. Image Underst., 2022

PaLI: A Jointly-Scaled Multilingual Language-Image Model.

Xi Chen, Xiao Wang, Soravit Changpinyo, A. J. Piergiovanni, Piotr Padlewski, Daniel Salz, Sebastian Goodman, Adam Grycner, Basil Mustafa, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Nan Ding, Keran Rong, Hassan Akbari, Gaurav Mishra, Linting Xue, Ashish V. Thapliyal, James Bradbury, Weicheng Kuo, Mojtaba Seyedhosseini, Chao Jia, Burcu Karagol Ayan, Carlos Riquelme, Andreas Steiner, Anelia Angelova, Xiaohua Zhai, Neil Houlsby, Radu Soricut

CoRR, 2022

Towards Multi-Lingual Visual Question Answering.

Soravit Changpinyo, Linting Xue, Idan Szpektor, Ashish V. Thapliyal, Julien Amelot, Xi Chen, Radu Soricut

CoRR, 2022

PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks.

Nan Ding, Xi Chen, Tomer Levinboim, Beer Changpinyo, Radu Soricut

CoRR, 2022

All You May Need for VQA are Image Captions.

Soravit Changpinyo, Doron Kukliansky, Idan Szpektor, Xi Chen, Nan Ding, Radu Soricut

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset.

Ashish V. Thapliyal, Jordi Pont-Tuset, Xi Chen, Radu Soricut

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks.

Nan Ding, Xi Chen, Tomer Levinboim, Soravit Changpinyo, Radu Soricut

Proceedings of the Computer Vision - ECCV 2022, 2022

End-to-end Dense Video Captioning as Sequence Generation.

Wanrong Zhu, Bo Pang, Ashish V. Thapliyal, William Yang Wang, Radu Soricut

Proceedings of the 29th International Conference on Computational Linguistics, 2022

Denoising Large-Scale Image Captioning from Alt-text Data Using Content Selection Models.

Khyathi Raghavi Chandu, Piyush Sharma, Soravit Changpinyo, Ashish V. Thapliyal, Radu Soricut

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2021

Telling the What while Pointing the Where: Fine-grained Mouse Trace and Language Supervision for Improved Image Retrieval.

Soravit Changpinyo, Jordi Pont-Tuset, Vittorio Ferrari, Radu Soricut

CoRR, 2021

Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning.

Nan Ding, Xi Chen, Tomer Levinboim, Sebastian Goodman, Radu Soricut

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Quality Estimation for Image Captions Based on Large-scale Human Evaluations.

Tomer Levinboim, Ashish V. Thapliyal, Piyush Sharma, Radu Soricut

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Telling the What while Pointing to the Where: Multimodal Queries for Image Retrieval.

Soravit Changpinyo, Jordi Pont-Tuset, Vittorio Ferrari, Radu Soricut

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

COSMic: A Coherence-Aware Generation Metric for Image Descriptions.

Mert Inan, Piyush Sharma, Baber Khalid, Radu Soricut, Matthew Stone, Malihe Alikhani

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021

CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization.

Arjun R. Akula, Soravit Changpinyo, Boqing Gong, Piyush Sharma, Song-Chun Zhu, Radu Soricut

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts.

Soravit Changpinyo, Piyush Sharma, Nan Ding, Radu Soricut

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Understanding Guided Image Captioning Performance across Domains.

Edwin G. Ng, Bo Pang, Piyush Sharma, Radu Soricut

Proceedings of the 25th Conference on Computational Natural Language Learning, 2021

H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences.

Zhenhai Zhu, Radu Soricut

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

2020

Attention that does not Explain Away.

Nan Ding, Xinjie Fan, Zhenzhong Lan, Dale Schuurmans, Radu Soricut

CoRR, 2020

Weakly Supervised Content Selection for Improved Image Captioning.

Khyathi Raghavi Chandu, Piyush Sharma, Soravit Changpinyo, Ashish V. Thapliyal, Radu Soricut

CoRR, 2020

Multi-Image Summarization: Textual Summary from a Set of Cohesive Images.

Nicholas Trieu, Sebastian Goodman, Pradyumna Narayana, Kazoo Sone, Radu Soricut

CoRR, 2020

Clue: Cross-modal Coherence Modeling for Caption Generation.

Malihe Alikhani, Piyush Sharma, Shengjie Li, Radu Soricut, Matthew Stone

CoRR, 2020

Multimodal Pretraining for Dense Video Captioning.

Gabriel Huang, Bo Pang, Zhenhai Zhu, Clara Rivera, Radu Soricut

Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, 2020

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations.

Zhenzhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, Radu Soricut

Proceedings of the 8th International Conference on Learning Representations, 2020

Improving Text Generation Evaluation with Batch Centering and Tempered Word Mover Distance.

Xi Chen, Nan Ding, Tomer Levinboim, Radu Soricut

Proceedings of the First Workshop on Evaluation and Comparison of NLP Systems, 2020

Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube.

Jack Hessel, Zhenhai Zhu, Bo Pang, Radu Soricut

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

TeaForN: Teacher-Forcing with N-grams.

Sebastian Goodman, Nan Ding, Radu Soricut

Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing, 2020

Connecting Vision and Language with Localized Narratives.

Jordi Pont-Tuset, Jasper R. R. Uijlings, Soravit Changpinyo, Radu Soricut, Vittorio Ferrari

Proceedings of the Computer Vision - ECCV 2020, 2020

Cross-modal Language Generation using Pivot Stabilization for Web-scale Language Coverage.

Ashish V. Thapliyal, Radu Soricut

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Cross-modal Coherence Modeling for Caption Generation.

Malihe Alikhani, Piyush Sharma, Shengjie Li, Radu Soricut, Matthew Stone

Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics, 2020

Reinforcing an Image Caption Generator Using Off-Line Human Feedback.

Paul Hongsuck Seo, Piyush Sharma, Tomer Levinboim, Bohyung Han, Radu Soricut

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Multi-stage Pretraining for Abstractive Summarization.

Sebastian Goodman, Zhenzhong Lan, Radu Soricut

CoRR, 2019

Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering.

Soravit Changpinyo, Bo Pang, Piyush Sharma, Radu Soricut

Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing, 2019

A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions.

Jack Hessel, Bo Pang, Zhenhai Zhu, Radu Soricut

Proceedings of the 23rd Conference on Computational Natural Language Learning, 2019

Informative Image Captioning with External Sources of Information.

Sanqiang Zhao, Piyush Sharma, Tomer Levinboim, Radu Soricut

Proceedings of the 57th Conference of the Association for Computational Linguistics, 2019

2018

SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation.

Ye Zhang, Nan Ding, Radu Soricut

Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2018

Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning.

Piyush Sharma, Nan Ding, Sebastian Goodman, Radu Soricut

Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics, 2018

2017

Cold-Start Reinforcement Learning with Softmax Policy Gradients.

Nan Ding, Radu Soricut

CoRR, 2017

Cold-Start Reinforcement Learning with Softmax Policy Gradient.

Nan Ding, Radu Soricut

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

2016

Morpho-syntactic Lexicon Generation Using Graph-based Semi-supervised Learning.

Manaal Faruqui, Ryan T. McDonald, Radu Soricut

Trans. Assoc. Comput. Linguistics, 2016

Multilingual Word Embeddings using Multigraphs.

Radu Soricut, Nan Ding

CoRR, 2016

Building Large Machine Reading-Comprehension Datasets using Paragraph Vectors.

Radu Soricut, Nan Ding

CoRR, 2016

Understanding Image and Text Simultaneously: a Dual Vision-Language Machine Comprehension Task.

Nan Ding, Sebastian Goodman, Fei Sha, Radu Soricut

CoRR, 2016

2015

Unsupervised Morphology Induction Using Word Embeddings.

Radu Soricut, Franz Josef Och

Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

2014

Findings of the 2014 Workshop on Statistical Machine Translation.

Ondrej Bojar, Christian Buck, Christian Federmann, Barry Haddow, Philipp Koehn, Johannes Leveling, Christof Monz, Pavel Pecina, Matt Post, Herve Saint-Amand, Radu Soricut, Lucia Specia, Ales Tamchyna

Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014

2013

Quality estimation for machine translation: preface.

Lucia Specia, Radu Soricut

Mach. Transl., 2013

Findings of the 2013 Workshop on Statistical Machine Translation.

Ondrej Bojar, Christian Buck, Chris Callison-Burch, Christian Federmann, Barry Haddow, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, Lucia Specia

Proceedings of the Eighth Workshop on Statistical Machine Translation, 2013

2012

Combining Quality Prediction and System Selection for Improved Automatic Translation Output.

Radu Soricut, Sushant Narsale

Proceedings of the Seventh Workshop on Statistical Machine Translation, 2012

The SDL Language Weaver Systems in the WMT12 Quality Estimation Shared Task.

Radu Soricut, Nguyen Bach, Ziyuan Wang

Proceedings of the Seventh Workshop on Statistical Machine Translation, 2012

Findings of the 2012 Workshop on Statistical Machine Translation.

Chris Callison-Burch, Philipp Koehn, Christof Monz, Matt Post, Radu Soricut, Lucia Specia

Proceedings of the Seventh Workshop on Statistical Machine Translation, 2012

2010

TrustRank: Inducing Trust in Automatic Translations via Ranking.

Radu Soricut, Abdessamad Echihabi

Proceedings of the ACL 2010, 2010

2008

Automatic Prediction of Parser Accuracy.

Sujith Ravi, Kevin Knight, Radu Soricut

Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing, 2008

2007

Abstractive headline generation using WIDL-expressions.

Radu Soricut, Daniel Marcu

Inf. Process. Manag., 2007

2006

Automatic question answering using the web: Beyond the Factoid.

Radu Soricut, Eric Brill

Inf. Retr., 2006

Discourse Generation Using Utility-Trained Coherence Models.

Radu Soricut, Daniel Marcu

Proceedings of the ACL 2006, 2006

Stochastic Language Generation Using WIDL-Expressions and its Application in Machine Translation and Summarization.

Radu Soricut, Daniel Marcu

Proceedings of the ACL 2006, 2006

2005

Towards Developing Generation Algorithms for Text-to-Text Applications.

Radu Soricut, Daniel Marcu

Proceedings of the ACL 2005, 2005

Natural Language Generation for Text-to-Text Applications Using an Information-Slim Representation.

Radu Soricut

Proceedings of the Proceedings, 2005

2004

Automatic Question Answering: Beyond the Factoid.

Radu Soricut, Eric Brill

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2004

A Unified Framework For Automatic Evaluation Using 4-Gram Co-occurrence Statistics.

Radu Soricut, Eric Brill

Proceedings of the 42nd Annual Meeting of the Association for Computational Linguistics, 2004

2003

Sentence Level Discourse Parsing using Syntactic and Lexical Information.

Radu Soricut, Daniel Marcu

Proceedings of the Human Language Technology Conference of the North American Chapter of the Association for Computational Linguistics, 2003

2002

Using a Large Monolingual Corpus to Improve Translation Accuracy.

Radu Soricut, Kevin Knight, Daniel Marcu

Proceedings of the Machine Translation: From Research to Real Users, 2002