Publications

"TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model." Waylon Li, Yftah Ziser, Yifei Xie, Shay B Cohen, Tiejun Ma. To appear in KDD 2025, Research Track (long paper). [Paper] [Code]

"Spectral Editing of Activations for Large Language Model Alignment." Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo Ponti and Shay Cohen. NeurIPS 2024 (long paper). [Paper] [Code]

"Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models." Zheng Zhao, Yftah Ziser and Shay Cohen. EMNLP 2024 (long paper). [Paper] [Code]

"Are Large Language Models Temporally Grounded?" Yifu Qiu, Zheng Zhao, Yftah Ziser, Anna Korhonen, Edoardo Ponti and Shay Cohen. NAACL 2024 (long paper). [Paper] [Code]

"Detecting and Mitigating Hallucinations in Multilingual Summarisation." Yifu Qiu, Yftah Ziser, Anna Korhonen, Edoardo Ponti and Shay Cohen. EMNLP 2023 (long paper). [Paper] [Code]

"A Joint Matrix Factorization Analysis of Multilingual Representations." Zheng Zhao, Yftah Ziser, Bonnie Webber and Shay Cohen. Findings of EMNLP 2023 (long paper). [Paper] [Code]

"Rant or Rave: Variation over Time in the Language of Online Reviews." Yftah Ziser, Bonnie Webber and Shay Cohen. LRE 2023 (long paper). [Paper] [Code]

"Erasure of Unaligned Attributes from Neural Representations." Shun Shao*, Yftah Ziser* and Shay Cohen. TACL 2023 (long paper). [Paper] [Code]

"BERT Is Not The Count: Learning to Match Mathematical Statements with Proofs." Waylon Li, Yftah Ziser, Maximin Coavoux and Shay Cohen. EACL 2023 (long paper). [Paper] [Code]

"Gold Doesn’t Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information." Shun Shao, Yftah Ziser and Shay Cohen. EACL 2023 (long paper). [Paper] [Code]

"Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents." Marcio Fonseca, Yftah Ziser and Shay Cohen. EMNLP 2022 (long paper). [Paper] [Code] [Demo]

"Understanding Domain Learning in Language Models Through Subpopulation Analysis." Zheng Zhao, Yftah Ziser and Shay Cohen. BlackboxNLP @ EMNLP 2022 (long paper). [Paper]

"Customized Pre-training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction." Entony Lekhtman, Yftah Ziser and Roi Reichart. EMNLP 2021 (long paper). [Paper] [Code]

"WikiSum: Coherent Summarization Dataset for Efficient Human-Evaluation." Nachshon Cohen*, Oren Kalinsky*, Yftah Ziser* and Alessandro Moschitti.
ACL 2021. [Paper] [Data]

"Answering Product-Questions by Utilizing Questions from Other Contextually Similar Products." Ohad Rozen, David Carmel, Avihai Mejer, Vitali Mirkis, and Yftah Ziser. NAACL 2021 (long paper). [Paper] [Data]

"Humor Detection in Product Question Answering Systems." Yftah Ziser, Elad Kravi and David Carmel. SIGIR 2020 (long paper). [Paper] [Data]

"Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation." Yftah Ziser and Roi Reichart. ACL 2019 (long paper). [Paper] [Code]

"Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal Guidance." Yftah Ziser and Roi Reichart. EMNLP 2018 (long paper). [Paper]

"Pivot Based Language Modeling for Improved Neural Domain Adaptation." Yftah Ziser and Roi Reichart. NAACL 2018 (long paper). [Paper] [Code]

"Neural Structural Correspondence Learning for Domain Adaptation." Yftah Ziser and Roi Reichart. CoNLL 2017 (long paper). [Paper] [Code]