| 2024 | ACL | Examining the robustness of LLM evaluation to the distributional assumptions of benchmarks. | Charlotte Siska, Katerina Marazopoulou, Melissa Ailem, James Bono |
| 2021 | ACL | Encouraging Neural Machine Translation to Satisfy Terminology Constraints. | Melissa Ailem, Jingshu Liu, Raheel Qader |
| 2020 | AISTATS | Amortized Inference of Variational Bounds for Learning Noisy-OR. | Yiming Yan, Melissa Ailem, Fei Sha |
| 2018 | AAAI | Word Co-Occurrence Regularized Non-Negative Matrix Tri-Factorization for Text Data Co-Clustering. | Aghiles Salah, Melissa Ailem, Mohamed Nadif |
| 2018 | EMNLP | A Probabilistic Model for Joint Learning of Word Embeddings from Texts and Images. | Melissa Ailem, Bowen Zhang, Aurlien Bellet, Pascal Denis, Fei Sha |
| 2018 | ICDE | Sparse Poisson Latent Block Model for Document Clustering (Extended Abstract). | Melissa Ailem, Franois Role, Mohamed Nadif |
| 2017 | CIKM | A Way to Boost Semi-NMF for Document Clustering. | Aghiles Salah, Melissa Ailem, Mohamed Nadif |
| 2017 | SIGIR | Non-negative Matrix Factorization Meets Word Embedding. | Melissa Ailem, Aghiles Salah, Mohamed Nadif |
| 2015 | CIKM | Co-clustering Document-term Matrices by Direct Maximization of Graph Modularity. | Melissa Ailem, Franois Role, Mohamed Nadif |