Using a Large Monolingual Corpus to Improve Translation Accuracy. - Radu Soricut; Kevin Knight; Daniel Marcu (AMTA, 2002)

Sentence Level Discourse Parsing using Syntactic and Lexical Information. - Radu Soricut; Daniel Marcu (HLT-NAACL, 2003)

A Unified Framework For Automatic Evaluation Using 4-Gram Co-occurrence Statistics. - Radu Soricut; Eric Brill (ACL, 2004)

Automatic Question Answering: Beyond the Factoid. - Radu Soricut; Eric Brill (HLT-NAACL, 2004)

Natural Language Generation for Text-to-Text Applications Using an Information-Slim Representation. - Radu Soricut (AAAI, 2005)

Towards Developing Generation Algorithms for Text-to-Text Applications. - Radu Soricut; Daniel Marcu (ACL, 2005)

Stochastic Language Generation Using WIDL-Expressions and its Application in Machine Translation and Summarization. - Radu Soricut; Daniel Marcu (ACL, 2006)

Discourse Generation Using Utility-Trained Coherence Models. - Radu Soricut; Daniel Marcu (ACL, 2006)

Automatic question answering using the web: Beyond the Factoid. - Radu Soricut; Eric Brill (Inf. Retr., 2006)

Abstractive headline generation using WIDL-expressions. - Radu Soricut; Daniel Marcu (Inf. Process. Manag., 2007)

Automatic Prediction of Parser Accuracy. - Sujith Ravi; Kevin Knight; Radu Soricut (EMNLP, 2008)

TrustRank: Inducing Trust in Automatic Translations via Ranking. - Radu Soricut; Abdessamad Echihabi (ACL, 2010)

Findings of the 2012 Workshop on Statistical Machine Translation. - Chris Callison-Burch; Philipp Koehn; Christof Monz; Matt Post; Radu Soricut; Lucia Specia (WMT@NAACL-HLT, 2012)

The SDL Language Weaver Systems in the WMT12 Quality Estimation Shared Task. - Radu Soricut; Nguyen Bach; Ziyuan Wang (WMT@NAACL-HLT, 2012)

Combining Quality Prediction and System Selection for Improved Automatic Translation Output. - Radu Soricut; Sushant Narsale (WMT@NAACL-HLT, 2012)

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 (WMT@ACL, 2013)

Quality estimation for machine translation: preface. - Lucia Specia; Radu Soricut (Mach. Transl., 2013)

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; et al. (WMT@ACL, 2014)

Unsupervised Morphology Induction Using Word Embeddings. - Radu Soricut; Franz Josef Och (HLT-NAACL, 2015)

Understanding Image and Text Simultaneously: a Dual Vision-Language Machine Comprehension Task. - Nan Ding 002; Sebastian Goodman; Fei Sha; Radu Soricut (CoRR, 2016)

Building Large Machine Reading-Comprehension Datasets using Paragraph Vectors. - Radu Soricut; Nan Ding 002 (CoRR, 2016)

Multilingual Word Embeddings using Multigraphs. - Radu Soricut; Nan Ding 002 (CoRR, 2016)

Morpho-syntactic Lexicon Generation Using Graph-based Semi-supervised Learning. - Manaal Faruqui; Ryan T. McDonald; Radu Soricut (Trans. Assoc. Comput. Linguistics, 2016)

Cold-Start Reinforcement Learning with Softmax Policy Gradient. - Nan Ding 002; Radu Soricut (NIPS, 2017)

Cold-Start Reinforcement Learning with Softmax Policy Gradients. - Nan Ding 002; Radu Soricut (CoRR, 2017)

Conceptual Captions: A Cleaned, Hypernymed, Image Alt-text Dataset For Automatic Image Captioning. - Piyush Sharma; Nan Ding 002; Sebastian Goodman; Radu Soricut (ACL (1), 2018)

SHAPED: Shared-Private Encoder-Decoder for Text Style Adaptation. - Ye Zhang; Nan Ding 002; Radu Soricut (NAACL-HLT, 2018)

Informative Image Captioning with External Sources of Information. - Sanqiang Zhao; Piyush Sharma; Tomer Levinboim; Radu Soricut (ACL (1), 2019)

A Case Study on Combining ASR and Visual Features for Generating Instructional Video Captions. - Jack Hessel; Bo Pang 001; Zhenhai Zhu; Radu Soricut (CoNLL, 2019)

Decoupled Box Proposal and Featurization with Ultrafine-Grained Semantic Labels Improve Image Captioning and Visual Question Answering. - Soravit Changpinyo; Bo Pang 001; Piyush Sharma; Radu Soricut (EMNLP/IJCNLP (1), 2019)

Multi-stage Pretraining for Abstractive Summarization. - Sebastian Goodman; Zhenzhong Lan; Radu Soricut (CoRR, 2019)

Reinforcing an Image Caption Generator Using Off-Line Human Feedback. - Paul Hongsuck Seo; Piyush Sharma; Tomer Levinboim; Bohyung Han; Radu Soricut (AAAI, 2020)

Cross-modal Coherence Modeling for Caption Generation. - Malihe Alikhani; Piyush Sharma; Shengjie Li 002; Radu Soricut; Matthew Stone (ACL, 2020)

Cross-modal Language Generation using Pivot Stabilization for Web-scale Language Coverage. - Ashish V. Thapliyal; Radu Soricut (ACL, 2020)

Connecting Vision and Language with Localized Narratives. - Jordi Pont-Tuset; Jasper R. R. Uijlings; Soravit Changpinyo; Radu Soricut; Vittorio Ferrari (ECCV (5), 2020)

TeaForN: Teacher-Forcing with N-grams. - Sebastian Goodman; Nan Ding 002; Radu Soricut (EMNLP (1), 2020)

Beyond Instructional Videos: Probing for More Diverse Visual-Textual Grounding on YouTube. - Jack Hessel; Zhenhai Zhu; Bo Pang 001; Radu Soricut (EMNLP (1), 2020)

Improving Text Generation Evaluation with Batch Centering and Tempered Word Mover Distance. - Xi Chen 071; Nan Ding 002; Tomer Levinboim; Radu Soricut (Eval4NLP, 2020)

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations. - Zhenzhong Lan; Mingda Chen; Sebastian Goodman; Kevin Gimpel; Piyush Sharma; Radu Soricut (ICLR, 2020)

Multimodal Pretraining for Dense Video Captioning. - Gabriel Huang; Bo Pang 001; Zhenhai Zhu; Clara Rivera; Radu Soricut (AACL/IJCNLP, 2020)

Clue: Cross-modal Coherence Modeling for Caption Generation. - Malihe Alikhani; Piyush Sharma; Shengjie Li 002; Radu Soricut; Matthew Stone (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)

Weakly Supervised Content Selection for Improved Image Captioning. - Khyathi Raghavi Chandu; Piyush Sharma; Soravit Changpinyo; Ashish V. Thapliyal; Radu Soricut (CoRR, 2020)

Attention that does not Explain Away. - Nan Ding 002; Xinjie Fan; Zhenzhong Lan; Dale Schuurmans; Radu Soricut (CoRR, 2020)

H-Transformer-1D: Fast One-Dimensional Hierarchical Attention for Sequences. - Zhenhai Zhu; Radu Soricut (ACL/IJCNLP (1), 2021)

Understanding Guided Image Captioning Performance across Domains. - Edwin G. Ng; Bo Pang 001; Piyush Sharma; Radu Soricut (CoNLL, 2021)

Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts. - Soravit Changpinyo; Piyush Sharma; Nan Ding 002; Radu Soricut (CVPR, 2021)

CrossVQA: Scalably Generating Benchmarks for Systematically Testing VQA Generalization. - Arjun R. Akula; Soravit Changpinyo; Boqing Gong; Piyush Sharma; Song-Chun Zhu; Radu Soricut (EMNLP (1), 2021)

COSMic: A Coherence-Aware Generation Metric for Image Descriptions. - Mert Inan; Piyush Sharma; Baber Khalid; Radu Soricut; Matthew Stone; Malihe Alikhani (EMNLP (Findings), 2021)

Telling the What while Pointing to the Where: Multimodal Queries for Image Retrieval. - Soravit Changpinyo; Jordi Pont-Tuset; Vittorio Ferrari; Radu Soricut (ICCV, 2021)

Quality Estimation for Image Captions Based on Large-scale Human Evaluations. - Tomer Levinboim; Ashish V. Thapliyal; Piyush Sharma; Radu Soricut (NAACL-HLT, 2021)

Bridging the Gap Between Practice and PAC-Bayes Theory in Few-Shot Meta-Learning. - Nan Ding 002; Xi Chen 071; Tomer Levinboim; Sebastian Goodman; Radu Soricut (NeurIPS, 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)

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 (COLING, 2022)

End-to-end Dense Video Captioning as Sequence Generation. - Wanrong Zhu; Bo Pang 001; Ashish V. Thapliyal; William Yang Wang; Radu Soricut (COLING, 2022)

PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks. - Nan Ding 002; Xi Chen 071; Tomer Levinboim; Soravit Changpinyo; Radu Soricut (ECCV (34), 2022)

Crossmodal-3600: A Massively Multilingual Multimodal Evaluation Dataset. - Ashish V. Thapliyal; Jordi Pont-Tuset; Xi Chen 071; Radu Soricut (EMNLP, 2022)

All You May Need for VQA are Image Captions. - Soravit Changpinyo; Doron Kukliansky; Idan Szpektor; Xi Chen 071; Nan Ding 002; Radu Soricut (NAACL-HLT, 2022)

PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks. - Nan Ding 002; Xi Chen 071; Tomer Levinboim; Beer Changpinyo; Radu Soricut (CoRR, 2022)

Towards Multi-Lingual Visual Question Answering. - Soravit Changpinyo; Linting Xue; Idan Szpektor; Ashish V. Thapliyal; Julien Amelot; Xi Chen 071; Radu Soricut (CoRR, 2022)

PaLI: A Jointly-Scaled Multilingual Language-Image Model. - Xi Chen 071; Xiao Wang 038; Soravit Changpinyo; A. J. Piergiovanni; Piotr Padlewski; Daniel Salz; Sebastian Goodman; Adam Grycner; Basil Mustafa; Lucas Beyer; Alexander Kolesnikov 003; Joan Puigcerver; et al. (CoRR, 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 001; Ming-Hsuan Yang 001; Boqing Gong (Comput. Vis. Image Underst., 2022)

RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control. - Brianna Zitkovich; Tianhe Yu; Sichun Xu; Peng Xu 010; Ted Xiao; Fei Xia 002; Jialin Wu; Paul Wohlhart; Stefan Welker; Ayzaan Wahid; Quan Vuong; Vincent Vanhoucke; et al. (CoRL, 2023)

Imagen Editor and EditBench: Advancing and Evaluating Text-Guided Image Inpainting. - Su Wang 001; Chitwan Saharia; Ceslee Montgomery; Jordi Pont-Tuset; Shai Noy; Stefano Pellegrini; Yasumasa Onoe; Sarah Laszlo; David J. Fleet; Radu Soricut; Jason Baldridge; Mohammad Norouzi 002; et al. (CVPR, 2023)

Connecting Vision and Language with Video Localized Narratives. - Paul Voigtlaender; Soravit Changpinyo; Jordi Pont-Tuset; Radu Soricut; Vittorio Ferrari (CVPR, 2023)

Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization. - Zifan Wang 001; Nan Ding 002; Tomer Levinboim; Xi Chen 071; Radu Soricut (CVPR, 2023)

MaXM: Towards Multilingual Visual Question Answering. - Soravit Changpinyo; Linting Xue; Michal Yarom; Ashish V. Thapliyal; Idan Szpektor; Julien Amelot; Xi Chen 071; Radu Soricut (EMNLP (Findings), 2023)

PreSTU: Pre-Training for Scene-Text Understanding. - Jihyung Kil; Soravit Changpinyo; Xi Chen 071; Hexiang Hu; Sebastian Goodman; Wei-Lun Chao; Radu Soricut (ICCV, 2023)

PaLI-X: On Scaling up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CoRR, 2023)

PaLI-3 Vision Language Models: Smaller, Faster, Stronger. - Xi Chen 071; Xiao Wang 038; Lucas Beyer; Alexander Kolesnikov 003; Jialin Wu; Paul Voigtlaender; Basil Mustafa; Sebastian Goodman; Ibrahim Alabdulmohsin; Piotr Padlewski; Daniel Salz; Xi Xiong; et al. (CoRR, 2023)

Non-Intrusive Adaptation: Input-Centric Parameter-efficient Fine-Tuning for Versatile Multimodal Modeling. - Yaqing Wang 007; Jialin Wu; Tanmaya Dabral; Jiageng Zhang; Geoff Brown; Chun-Ta Lu; Frederick Liu; Yi Liang; Bo Pang 001; Michael Bendersky; 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; et al. (CoRR, 2023)

GeomVerse: A Systematic Evaluation of Large Models for Geometric Reasoning. - Mehran Kazemi; Hamidreza Alvari; Ankit Anand; Jialin Wu; Xi Chen 071; Radu Soricut (CoRR, 2023)

On Scaling Up a Multilingual Vision and Language Model. - Xi Chen 071; Josip Djolonga; Piotr Padlewski; Basil Mustafa; Soravit Changpinyo; Jialin Wu; Carlos Riquelme Ruiz; Sebastian Goodman; Xiao Wang 038; Yi Tay; Siamak Shakeri; Mostafa Dehghani 001; et al. (CVPR, 2024)

Omni-SMoLA: Boosting Generalist Multimodal Models with Soft Mixture of Low-Rank Experts. - Jialin Wu; Xia Hu; Yaqing Wang 007; Bo Pang 001; Radu Soricut (CVPR, 2024)

ImageInWords: Unlocking Hyper-Detailed Image Descriptions. - Roopal Garg; Andrea Burns; Burcu Karagol Ayan; Yonatan Bitton; Ceslee Montgomery; Yasumasa Onoe; Andrew Bunner; Ranjay Krishna; Jason Baldridge; Radu Soricut (EMNLP, 2024)

CausalLM is not optimal for in-context learning. - Nan Ding 002; Tomer Levinboim; Jialin Wu; Sebastian Goodman; Radu Soricut (ICLR, 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; et al. (CoRR, 2024)

Wavelet-Based Image Tokenizer for Vision Transformers. - Zhenhai Zhu; Radu Soricut (CoRR, 2024)

PaliGemma: A versatile 3B VLM for transfer. - Lucas Beyer; Andreas Steiner 001; André Susano Pinto; Alexander Kolesnikov 003; Xiao Wang 038; Daniel Salz; Maxim Neumann; Ibrahim Alabdulmohsin; Michael Tschannen; Emanuele Bugliarello; Thomas Unterthiner; Daniel Keysers; et al. (CoRR, 2024)

Unified Autoregressive Visual Generation and Understanding with Continuous Tokens. - Lijie Fan; Luming Tang; Siyang Qin; Tianhong Li; Xuan Yang; Siyuan Qiao; Andreas Steiner 001; Chen Sun 002; Yuanzhen Li; Tao Zhu; Michael Rubinstein; Michalis Raptis; et al. (CoRR, 2025)

Gemini Robotics: Bringing AI into the Physical World. - Gemini Robotics Team; Saminda Abeyruwan; Joshua Ainslie; Jean-Baptiste Alayrac; Montserrat Gonzalez Arenas; Travis Armstrong; Ashwin Balakrishna; Robert Baruch; Maria Bauzá 001; Michiel Blokzijl; Steven Bohez; Konstantinos Bousmalis; et al. (CoRR, 2025)