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).

"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]