| 2026 | EACL | Unlocking Latent Discourse Translation in LLMs Through Quality-Aware Decoding. | Wafaa Mohammed, Vlad Niculae, Chrysoula Zerva |
| 2026 | EACL | Representation Collapse in Machine Translation Through the Lens of Angular Dispersion. | Evgeniia Tokarchuk, Maya K. Nachesa, Sergey Troshin, Vlad Niculae |
| 2025 | EMNLP | Angular Dispersion Accelerates k-Nearest Neighbors Machine Translation. | Evgeniia Tokarchuk, Sergey Troshin, Vlad Niculae |
| 2025 | NAACL | kNN For Whisper And Its Effect On Bias And Speaker Adaptation. | Maya K. Nachesa, Vlad Niculae |
| 2024 | AMTA | Entropy- and Distance-Regularized Attention Improves Low-Resource Neural Machine Translation. | Ali Araabi, Vlad Niculae, Christof Monz |
| 2024 | EACL | On Measuring Context Utilization in Document-Level MT Systems. | Wafaa Mohammed, Vlad Niculae |
| 2024 | ICML | Sparse and Structured Hopfield Networks. | Saul Jos Rodrigues dos Santos, Vlad Niculae, Daniel C. McNamee, Andr F. T. Martins |
| 2024 | NAACL | The Unreasonable Effectiveness of Random Target Embeddings for Continuous-Output Neural Machine Translation. | Evgeniia Tokarchuk, Vlad Niculae |
| 2023 | EMNLP | Viewing Knowledge Transfer in Multilingual Machine Translation Through a Representational Lens. | David Stap, Vlad Niculae, Christof Monz |
| 2023 | ICLR | DAG Learning on the Permutahedron. | Valentina Zantedeschi, Luca Franceschi, Jean Kaddour, Matt J. Kusner, Vlad Niculae |
| 2022 | AMTA | How Effective is Byte Pair Encoding for Out-Of-Vocabulary Words in Neural Machine Translation? | Ali Araabi, Christof Monz, Vlad Niculae |
| 2022 | ICLR | Sparse Communication via Mixed Distributions. | Antnio Farinhas, Wilker Aziz, Vlad Niculae, Andr F. T. Martins |
| 2022 | ICML | Modeling Structure with Undirected Neural Networks. | Tsvetomila Mihaylova, Vlad Niculae, Andr F. T. Martins |
| 2021 | ICIP | Sparse And Structured Visual Attention. | Pedro Henrique Martins, Vlad Niculae, Zita Marinho, Andr F. T. Martins |
| 2021 | ICML | Learning Binary Decision Trees by Argmin Differentiation. | Valentina Zantedeschi, Matt J. Kusner, Vlad Niculae |
| 2020 | EMNLP | Understanding the Mechanics of SPIGOT: Surrogate Gradients for Latent Structure Learning. | Tsvetomila Mihaylova, Vlad Niculae, Andr F. T. Martins |
| 2020 | ICML | LP-SparseMAP: Differentiable Relaxed Optimization for Sparse Structured Prediction. | Vlad Niculae, Andr F. T. Martins |
| 2019 | ACL | Latent Structure Models for Natural Language Processing. | Andr F. T. Martins, Tsvetomila Mihaylova, Nikita Nangia, Vlad Niculae |
| 2019 | ACL | Sparse Sequence-to-Sequence Models. | Ben Peters, Vlad Niculae, Andr F. T. Martins |
| 2019 | AISTATS | Learning Classifiers with Fenchel-Young Losses: Generalized Entropies, Margins, and Algorithms. | Mathieu Blondel, Andr F. T. Martins, Vlad Niculae |
| 2019 | EMNLP | Adaptively Sparse Transformers. | Gonalo M. Correia, Vlad Niculae, Andr F. T. Martins |
| 2018 | EMNLP | Towards Dynamic Computation Graphs via Sparse Latent Structure. | Vlad Niculae, Andr F. T. Martins, Claire Cardie |
| 2018 | EMNLP | Interpretable Structure Induction via Sparse Attention. | Ben Peters, Vlad Niculae, Andr F. T. Martins |
| 2018 | ICML | SparseMAP: Differentiable Sparse Structured Inference. | Vlad Niculae, Andr F. T. Martins, Mathieu Blondel, Claire Cardie |
| 2017 | ACL | Argument Mining with Structured SVMs and RNNs. | Vlad Niculae, Joonsuk Park, Claire Cardie |
| 2016 | NAACL | Conversational Markers of Constructive Discussions. | Vlad Niculae, Cristian Danescu-Niculescu-Mizil |
| 2016 | WWW | Winning Arguments: Interaction Dynamics and Persuasion Strategies in Good-faith Online Discussions. | Chenhao Tan, Vlad Niculae, Cristian Danescu-Niculescu-Mizil, Lillian Lee |
| 2015 | ACL | Linguistic Harbingers of Betrayal: A Case Study on an Online Strategy Game. | Vlad Niculae, Srijan Kumar, Jordan L. Boyd-Graber, Cristian Danescu-Niculescu-Mizil |
| 2015 | WWW | QUOTUS: The Structure of Political Media Coverage as Revealed by Quoting Patterns. | Vlad Niculae, Caroline Suen, Justine Zhang, Cristian Danescu-Niculescu-Mizil, Jure Leskovec |
| 2014 | EACL | Temporal Text Ranking and Automatic Dating of Texts. | Vlad Niculae, Marcos Zampieri, Liviu P. Dinu, Alina Maria Ciobanu |
| 2014 | EMNLP | Brighter than Gold: Figurative Language in User Generated Comparisons. | Vlad Niculae, Cristian Danescu-Niculescu-Mizil |
| 2014 | LREC | Using a machine learning model to assess the complexity of stress systems. | Liviu P. Dinu, Alina Maria Ciobanu, Ioana Chitoran, Vlad Niculae |
| 2013 | ACL | Computational considerations of comparisons and similes. | Vlad Niculae, Victoria Yaneva |
| 2013 | RANLP | Temporal Text Classification for Romanian Novels set in the Past. | Alina Maria Ciobanu, Liviu P. Dinu, Octavia-Maria Sulea, Anca P. Dinu, Vlad Niculae |
| 2013 | RANLP | Sequence Tagging for Verb Conjugation in Romanian. | Liviu P. Dinu, Octavia-Maria Sulea, Vlad Niculae |
| 2012 | COLING | Dealing with the Grey Sheep of the Romanian Gender System, the Neuter. | Liviu P. Dinu, Vlad Niculae, Octavia-Maria Sulea |
| 2012 | EACL | Learning How to Conjugate the Romanian Verb. Rules for Regular and Partially Irregular Verbs. | Liviu Petrisor Dinu, Vlad Niculae, Octavia-Maria Sulea |
| 2012 | LREC | The Romanian Neuter Examined Through A Two-Gender N-Gram Classification System. | Liviu P. Dinu, Vlad Niculae, Octavia-Maria Sulea |
| 2011 | RANLP | Can Alternations Be Learned? A Machine Learning Approach To Romanian Verb Conjugation. | Liviu Petrisor Dinu, Emil Ionescu, Vlad Niculae, Octavia-Maria Sulea |