| 2026 | AAAI | Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions. | Guy Bar-Shalom, Fabrizio Frasca, Derek Lim, Yoav Gelberg, Yftah Ziser, Ran El-Yaniv, Gal Chechik, Haggai Maron |
| 2026 | ACL | Aligning What LLMs Do and Say: Towards Self-Consistent Explanations. | Sahar Admoni, Ofra Amir, Assaf Hallak, Yftah Ziser |
| 2026 | ACL | Can VLMs Predict Future States? Bootstrapping World Models from Inverse Dynamics. | Yifu Qiu, Yftah Ziser, Anna Korhonen, Shay B. Cohen, Edoardo M. Ponti |
| 2025 | ACL | Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion. | Anum Afzal, Florian Matthes, Gal Chechik, Yftah Ziser |
| 2025 | EMNLP | A Simple Yet Effective Method for Non-Refusing Context Relevant Fine-grained Safety Steering in LLMs. | Shaona Ghosh, Amrita Bhattacharjee, Yftah Ziser, Christopher Parisien |
| 2025 | EMNLP | Iterative Multilingual Spectral Attribute Erasure. | Shun Shao, Yftah Ziser, Zheng Zhao, Yifu Qiu, Shay B. Cohen, Anna Korhonen |
| 2025 | KDD | TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model. | Weixian Waylon Li, Yftah Ziser, Yifei Xie, Shay B. Cohen, Tiejun Ma |
| 2024 | EMNLP | Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models. | Zheng Zhao, Yftah Ziser, Shay B. Cohen |
| 2024 | NAACL | Are Large Language Model Temporally Grounded? | Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo Maria Ponti, Shay B. Cohen |
| 2023 | EACL | BERT Is Not The Count: Learning to Match Mathematical Statements with Proofs. | Weixian Waylon Li, Yftah Ziser, Maximin Coavoux, Shay B. Cohen |
| 2023 | EACL | Gold Doesn't Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information. | Shun Shao, Yftah Ziser, Shay B. Cohen |
| 2023 | EMNLP | A Joint Matrix Factorization Analysis of Multilingual Representations. | Zheng Zhao, Yftah Ziser, Bonnie Webber, Shay B. Cohen |
| 2023 | EMNLP | Detecting and Mitigating Hallucinations in Multilingual Summarisation. | Yifu Qiu, Yftah Ziser, Anna Korhonen, Edoardo Maria Ponti, Shay B. Cohen |
| 2022 | EMNLP | Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents. | Marcio Fonseca, Yftah Ziser, Shay B. Cohen |
| 2021 | ACL | WikiSum: Coherent Summarization Dataset for Efficient Human-Evaluation. | Nachshon Cohen, Oren Kalinsky, Yftah Ziser, Alessandro Moschitti |
| 2021 | EMNLP | DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction. | Entony Lekhtman, Yftah Ziser, Roi Reichart |
| 2021 | NAACL | Answering Product-Questions by Utilizing Questions from Other Contextually Similar Products. | Ohad Rozen, David Carmel, Avihai Mejer, Vitaly Mirkis, Yftah Ziser |
| 2020 | SIGIR | Humor Detection in Product Question Answering Systems. | Yftah Ziser, Elad Kravi, David Carmel |
| 2019 | ACL | Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation. | Yftah Ziser, Roi Reichart |
| 2018 | EMNLP | Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal Guidance. | Yftah Ziser, Roi Reichart |
| 2018 | NAACL | Pivot Based Language Modeling for Improved Neural Domain Adaptation. | Yftah Ziser, Roi Reichart |
| 2017 | CoNLL | Neural Structural Correspondence Learning for Domain Adaptation. | Yftah Ziser, Roi Reichart |