| 2024 | ICLR | CausalLM is not optimal for in-context learning. | Nan Ding, Tomer Levinboim, Jialin Wu, Sebastian Goodman, Radu Soricut |
| 2023 | CVPR | Improving Robust Generalization by Direct PAC-Bayesian Bound Minimization. | Zifan Wang, Nan Ding, Tomer Levinboim, Xi Chen, Radu Soricut |
| 2022 | ECCV | PACTran: PAC-Bayesian Metrics for Estimating the Transferability of Pretrained Models to Classification Tasks. | Nan Ding, Xi Chen, Tomer Levinboim, Soravit Changpinyo, Radu Soricut |
| 2021 | NAACL | Quality Estimation for Image Captions Based on Large-scale Human Evaluations. | Tomer Levinboim, Ashish V. Thapliyal, Piyush Sharma, Radu Soricut |
| 2020 | AAAI | Reinforcing an Image Caption Generator Using Off-Line Human Feedback. | Paul Hongsuck Seo, Piyush Sharma, Tomer Levinboim, Bohyung Han, Radu Soricut |
| 2019 | ACL | Informative Image Captioning with External Sources of Information. | Sanqiang Zhao, Piyush Sharma, Tomer Levinboim, Radu Soricut |
| 2015 | EMNLP | Supervised Phrase Table Triangulation with Neural Word Embeddings for Low-Resource Languages. | Tomer Levinboim, David Chiang |
| 2015 | NAACL | Multi-Task Word Alignment Triangulation for Low-Resource Languages. | Tomer Levinboim, David Chiang |
| 2015 | NAACL | Model Invertibility Regularization: Sequence Alignment With or Without Parallel Data. | Tomer Levinboim, Ashish Vaswani, David Chiang |
| 2012 | AAAI | Learning the Kernel Matrix with Low-Rank Multiplicative Shaping. | Tomer Levinboim, Fei Sha |