| 2025 | ACL | LSC-Eval: A General Framework to Evaluate Methods for Assessing Dimensions of Lexical Semantic Change Using LLM-Generated Synthetic Data. | Naomi Baes, Raphal Merx, Nick Haslam, Ekaterina Vylomova, Haim Dubossarsky |
| 2025 | EMNLP | Multilinguality Does not Make Sense: Investigating Factors Behind Zero-Shot Cross-Lingual Transfer in Sense-Aware Tasks. | Roksana Goworek, Haim Dubossarsky |
| 2025 | EMNLP | Definition Generation for Word Meaning Modeling: Monolingual, Multilingual, and Cross-Lingual Perspectives. | Francesco Periti, Roksana Goworek, Haim Dubossarsky, Nina Tahmasebi |
| 2024 | ACL | Analyzing Semantic Change through Lexical Replacements. | Francesco Periti, Pierluigi Cassotti, Haim Dubossarsky, Nina Tahmasebi |
| 2024 | COLING | Strengthening the WiC: New Polysemy Dataset in Hindi and Lack of Cross Lingual Transfer. | Haim Dubossarsky, Farheen Dairkee |
| 2024 | EACL | Toward Sentiment Aware Semantic Change Analysis. | Roksana Goworek, Haim Dubossarsky |
| 2024 | EACL | (Chat)GPT v BERT Dawn of Justice for Semantic Change Detection. | Francesco Periti, Haim Dubossarsky, Nina Tahmasebi |
| 2024 | ECIR | Integrating Cognitive Neuroscience Insights into NLP: A New Approach to Understanding Narrative Processing (Abstract). | Avital Hahamy, Haim Dubossarsky, Timothy Behrens |
| 2024 | EMNLP | Atomic Inference for NLI with Generated Facts as Atoms. | Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Oana-Maria Camburu, Marek Rei |
| 2022 | EMNLP | Logical Reasoning with Span-Level Predictions for Interpretable and Robust NLI Models. | Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Marek Rei |
| 2021 | EMNLP | DWUG: A large Resource of Diachronic Word Usage Graphs in Four Languages. | Dominik Schlechtweg, Nina Tahmasebi, Simon Hengchen, Haim Dubossarsky, Barbara McGillivray |
| 2020 | EMNLP | The Secret is in the Spectra: Predicting Cross-lingual Task Performance with Spectral Similarity Measures. | Haim Dubossarsky, Ivan Vulic, Roi Reichart, Anna Korhonen |
| 2020 | EMNLP | Avoiding the Hypothesis-Only Bias in Natural Language Inference via Ensemble Adversarial Training. | Joe Stacey, Pasquale Minervini, Haim Dubossarsky, Sebastian Riedel, Tim Rocktschel |
| 2019 | ACL | Time-Out: Temporal Referencing for Robust Modeling of Lexical Semantic Change. | Haim Dubossarsky, Simon Hengchen, Nina Tahmasebi, Dominik Schlechtweg |
| 2018 | EMNLP | Coming to Your Senses: on Controls and Evaluation Sets in Polysemy Research. | Haim Dubossarsky, Eitan Grossman, Daphna Weinshall |
| 2017 | EMNLP | Outta Control: Laws of Semantic Change and Inherent Biases in Word Representation Models. | Haim Dubossarsky, Daphna Weinshall, Eitan Grossman |