| 2025 | ACL | Beyond instruction-conditioning, MoTE: Mixture of Task Experts for Multi-task Embedding Models. | Miguel Romero Calvo, Shuoyang Ding, Corey D. Barrett, Georgiana Dinu, George Karypis |
| 2025 | ICLR | Effective post-training embedding compression via temperature control in contrastive training. | Georgiana Dinu, Corey D. Barrett, Yi Xiang, Miguel Romero Calvo, Anna Currey, Xing Niu |
| 2023 | ACL | RAMP: Retrieval and Attribute-Marking Enhanced Prompting for Attribute-Controlled Translation. | Gabriele Sarti, Phu Mon Htut, Xing Niu, Benjamin Hsu, Anna Currey, Georgiana Dinu, Maria Nadejde |
| 2023 | ICLR | Pseudo-label Training and Model Inertia in Neural Machine Translation. | Benjamin Hsu, Anna Currey, Xing Niu, Maria Nadejde, Georgiana Dinu |
| 2022 | EMNLP | MT-GenEval: A Counterfactual and Contextual Dataset for Evaluating Gender Accuracy in Machine Translation. | Anna Currey, Maria Nadejde, Raghavendra Reddy Pappagari, Mia Mayer, Stanislas Lauly, Xing Niu, Benjamin Hsu, Georgiana Dinu |
| 2022 | NAACL | CoCoA-MT: A Dataset and Benchmark for Contrastive Controlled MT with Application to Formality. | Maria Nadejde, Anna Currey, Benjamin Hsu, Xing Niu, Marcello Federico, Georgiana Dinu |
| 2021 | EMNLP | GFST: Gender-Filtered Self-Training for More Accurate Gender in Translation. | Prafulla Kumar Choubey, Anna Currey, Prashant Mathur, Georgiana Dinu |
| 2020 | ACL | Evaluating Robustness to Input Perturbations for Neural Machine Translation. | Xing Niu, Prashant Mathur, Georgiana Dinu, Yaser Al-Onaizan |
| 2020 | EMNLP | Distilling Multiple Domains for Neural Machine Translation. | Anna Currey, Prashant Mathur, Georgiana Dinu |
| 2019 | ACL | Training Neural Machine Translation to Apply Terminology Constraints. | Georgiana Dinu, Prashant Mathur, Marcello Federico, Yaser Al-Onaizan |
| 2017 | ACL | Weakly Supervised Cross-Lingual Named Entity Recognition via Effective Annotation and Representation Projection. | Jian Ni, Georgiana Dinu, Radu Florian |
| 2015 | ACL | Hubness and Pollution: Delving into Cross-Space Mapping for Zero-Shot Learning. | Angeliki Lazaridou, Georgiana Dinu, Marco Baroni |
| 2014 | ACL | Don't count, predict! A systematic comparison of context-counting vs. context-predicting semantic vectors. | Marco Baroni, Georgiana Dinu, Germn Kruszewski |
| 2014 | ACL | How to make words with vectors: Phrase generation in distributional semantics. | Georgiana Dinu, Marco Baroni |
| 2014 | ACL | New Directions in Vector Space Models of Meaning. | Edward Grefenstette, Karl Moritz Hermann, Georgiana Dinu, Phil Blunsom |
| 2014 | EACL | Improving the Lexical Function Composition Model with Pathwise Optimized Elastic-Net Regression. | Jiming Li, Marco Baroni, Georgiana Dinu |
| 2013 | ACL | A relatedness benchmark to test the role of determiners in compositional distributional semantics. | Raffaella Bernardi, Georgiana Dinu, Marco Marelli, Marco Baroni |
| 2013 | ACL | DISSECT - DIStributional SEmantics Composition Toolkit. | Georgiana Dinu, Nghia The Pham, Marco Baroni |
| 2013 | ACL | General estimation and evaluation of compositional distributional semantic models. | Georgiana Dinu, Nghia The Pham, Marco Baroni |
| 2012 | NAACL | A comparison of models of word meaning in context. | Georgiana Dinu, Stefan Thater, Sren Laue |
| 2010 | COLING | Topic Models for Meaning Similarity in Context. | Georgiana Dinu, Mirella Lapata |
| 2010 | EMNLP | Measuring Distributional Similarity in Context. | Georgiana Dinu, Mirella Lapata |
| 2009 | ACL | Ranking Paraphrases in Context. | Stefan Thater, Georgiana Dinu, Manfred Pinkal |
| 2009 | EACL | Inference Rules and their Application to Recognizing Textual Entailment. | Georgiana Dinu, Rui Wang |
| 2008 | LREC | Learning Morphology with Morfette. | Grzegorz Chrupala, Georgiana Dinu, Josef van Genabith |