| 2025 | AAAI | Calibrating Large Language Models with Sample Consistency. | Qing Lyu, Kumar Shridhar, Chaitanya Malaviya, Li Zhang, Yanai Elazar, Niket Tandon, Marianna Apidianaki, Mrinmaya Sachan, Chris Callison-Burch |
| 2025 | ACL | mStyleDistance: Multilingual Style Embeddings and their Evaluation. | Justin Qiu, Jiacheng Zhu, Ajay Patel, Marianna Apidianaki, Chris Callison-Burch |
| 2025 | COLING | Latent Space Interpretation for Stylistic Analysis and Explainable Authorship Attribution. | Milad Alshomary, Narutatsu Ri, Marianna Apidianaki, Ajay Patel, Smaranda Muresan, Kathleen R. McKeown |
| 2025 | COLING | GenAI Content Detection Task 3: Cross-Domain Machine Generated Text Detection Challenge. | Liam Dugan, Andrew Zhu, Firoj Alam, Preslav Nakov, Marianna Apidianaki, Chris Callison-Burch |
| 2025 | COLING | PolyMinder: A Support System for Entity Annotation and Relation Extraction in Polymer Science Documents. | Owen Rambow, Leo Wanner, Marianna Apidianaki, Hend Al-Khalifa, Barbara Di Eugenio, Steven Schockaert, Brodie Mather, Mark Dras |
| 2025 | NAACL | StyleDistance: Stronger Content-Independent Style Embeddings with Synthetic Parallel Examples. | Ajay Patel, Jiacheng Zhu, Justin Qiu, Zachary Horvitz, Marianna Apidianaki, Kathleen McKeown, Chris Callison-Burch |
| 2024 | NAACL | Adjusting Interpretable Dimensions in Embedding Space with Human Judgments. | Katrin Erk, Marianna Apidianaki |
| 2023 | ACL | I Spy a Metaphor: Large Language Models and Diffusion Models Co-Create Visual Metaphors. | Tuhin Chakrabarty, Arkadiy Saakyan, Olivia Winn, Artemis Panagopoulou, Yue Yang, Marianna Apidianaki, Smaranda Muresan |
| 2023 | ACL | Explanation-based Finetuning Makes Models More Robust to Spurious Cues. | Josh Magnus Ludan, Yixuan Meng, Tai Nguyen, Saurabh Shah, Qing Lyu, Marianna Apidianaki, Chris Callison-Burch |
| 2023 | IJCNLP | Faithful Chain-of-Thought Reasoning. | Qing Lyu, Shreya Havaldar, Adam Stein, Li Zhang, Delip Rao, Eric Wong, Marianna Apidianaki, Chris Callison-Burch |
| 2022 | EMNLP | Visualizing the Obvious: A Concreteness-based Ensemble Model for Noun Property Prediction. | Yue Yang, Artemis Panagopoulou, Marianna Apidianaki, Mark Yatskar, Chris Callison-Burch |
| 2022 | NAACL | Is "My Favorite New Movie" My Favorite Movie? Probing the Understanding of Recursive Noun Phrases. | Qing Lyu, Zheng Hua, Daoxin Li, Li Zhang, Marianna Apidianaki, Chris Callison-Burch |
| 2021 | NAACL | Scalar Adjective Identification and Multilingual Ranking. | Aina Gar Soler, Marianna Apidianaki |
| 2020 | EMNLP | BERT Knows Punta Cana is not just beautiful, it's gorgeous: Ranking Scalar Adjectives with Contextualised Representations. | Aina Gar Soler, Marianna Apidianaki |
| 2019 | EMNLP | SUM-QE: a BERT-based Summary Quality Estimation Model. | Stratos Xenouleas, Prodromos Malakasiotis, Marianna Apidianaki, Ion Androutsopoulos |
| 2019 | NAACL | Complexity-Weighted Loss and Diverse Reranking for Sentence Simplification. | Reno Kriz, Joo Sedoc, Marianna Apidianaki, Carolina Zheng, Gaurav Kumar, Eleni Miltsakaki, Chris Callison-Burch |
| 2018 | EMNLP | Learning Scalar Adjective Intensity from Paraphrases. | Anne Cocos, Veronica Wharton, Ellie Pavlick, Marianna Apidianaki, Chris Callison-Burch |
| 2018 | EMNLP | Magnitude: A Fast, Efficient Universal Vector Embedding Utility Package. | Ajay Patel, Alexander Sands, Chris Callison-Burch, Marianna Apidianaki |
| 2018 | NAACL | Automated Paraphrase Lattice Creation for HyTER Machine Translation Evaluation. | Marianna Apidianaki, Guillaume Wisniewski, Anne Cocos, Chris Callison-Burch |
| 2018 | NAACL | Comparing Constraints for Taxonomic Organization. | Anne Cocos, Marianna Apidianaki, Chris Callison-Burch |
| 2018 | NAACL | Simplification Using Paraphrases and Context-Based Lexical Substitution. | Reno Kriz, Eleni Miltsakaki, Marianna Apidianaki, Chris Callison-Burch |
| 2017 | EMNLP | KnowYourNyms? A Game of Semantic Relationships. | Ross Mechanic, Dean Fulgoni, Hannah Cutler, Sneha Rajana, Zheyuan Liu, Bradley Jackson, Anne Cocos, Chris Callison-Burch, Marianna Apidianaki |
| 2017 | EMNLP | Learning Translations via Matrix Completion. | Derry Wijaya, Brendan Callahan, John Hewitt, Jie Gao, Xiao Ling, Marianna Apidianaki, Chris Callison-Burch |
| 2016 | EMNLP | Vector-space models for PPDB paraphrase ranking in context. | Marianna Apidianaki |
| 2016 | LREC | Datasets for Aspect-Based Sentiment Analysis in French. | Marianna Apidianaki, Xavier Tannier, Ccile Richart |
| 2016 | NAACL | TransRead: Designing a Bilingual Reading Experience with Machine Translation Technologies. | Franois Yvon, Yong Xu, Marianna Apidianaki, Clment Pillias, Pierre Cubaud |
| 2014 | COLING | Global Methods for Cross-lingual Semantic Role and Predicate Labelling. | Lonneke van der Plas, Marianna Apidianaki, Chenhua Chen |
| 2014 | LREC | Semantic Clustering of Pivot Paraphrases. | Marianna Apidianaki, Emilia Verzeni, Diana McCarthy |
| 2012 | COLING | Measuring the Adequacy of Cross-Lingual Paraphrases in a Machine Translation Setting. | Marianna Apidianaki |
| 2012 | LREC | Applying cross-lingual WSD to wordnet development. | Marianna Apidianaki, Benot Sagot |
| 2012 | LREC | Boosting the Coverage of a Semantic Lexicon by Automatically Extracted Event Nominalizations. | Kata Gbor, Marianna Apidianaki, Benot Sagot, ric Villemonte de la Clergerie |
| 2011 | ACL | Latent Semantic Word Sense Induction and Disambiguation. | Tim Van de Cruys, Marianna Apidianaki |
| 2011 | CICLING | A Quantitative Evaluation of Global Word Sense Induction. | Marianna Apidianaki, Tim Van de Cruys |
| 2011 | EMNLP | Unsupervised Cross-Lingual Lexical Substitution. | Marianna Apidianaki |
| 2009 | EACL | Data-Driven Semantic Analysis for Multilingual WSD and Lexical Selection in Translation. | Marianna Apidianaki |
| 2009 | PACLIC | Capturing Lexical Variation in MT Evaluation Using Automatically Built Sense-Cluster Inventories. | Marianna Apidianaki, Yifan He, Andy Way |
| 2008 | LREC | Translation-oriented Word Sense Induction Based on Parallel Corpora. | Marianna Apidianaki |