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Yftah Ziser

Pivot Based Language Modeling for Improved Neural Domain Adaptation
2018 · Yftah Ziser, Roi Reichart · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 135
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Neural Structural Correspondence Learning for Domain Adaptation
2017 · Yftah Ziser, Roi Reichart · Conference on Computational Natural Language Learning · 122
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Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal Guidance
2018 · Yftah Ziser, Roi Reichart · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 40
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Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation
2019 · Yftah Ziser, Roi Reichart · Proceedings of the conference - Association for Computational Linguistics. Meeting · 36
DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction
2021 · Entony Lekhtman, Yftah Ziser, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 28
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Humor Detection in Product Question Answering Systems
2020 · Yftah Ziser, Elad Kravi, et al. · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR) · 20
Detecting and Mitigating Hallucinations in Multilingual Summarisation
2023 · Yifu Qiu, Yftah Ziser, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 18
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WikiSum: Coherent Summarization Dataset for Efficient Human-Evaluation
2021 · Nachshon Cohen, Oren Kalinsky, et al. · 15
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Answering Product-Questions by Utilizing Questions from Other Contextually Similar Products
2021 · Ohad Rozen, David Carmel, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 14
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Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents
2022 · Marcio Fonseca, Yftah Ziser, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 13
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Are Large Language Model Temporally Grounded?
2024 · Yifu Qiu, Zheng Zhao, et al. · Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (NAACL-HLT) · 9
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Gold Doesn’t Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information
2023 · Shun Shao, Yftah Ziser, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 6
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Erasure of Unaligned Attributes from Neural Representations
2023 · Shun Shao, Yftah Ziser, et al. · Transactions of the Association for Computational Linguistics · 5
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Rant or rave: variation over time in the language of online reviews
2023 · Yftah Ziser, Bonnie Webber, et al. · Language Resources and Evaluation · 5
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TSPRank: Bridging Pairwise and Listwise Methods with a Bilinear Travelling Salesman Model
2025 · Weixian Waylon Li, Yftah Ziser, et al. · ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD) · 3
Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion
2025 · Anum Afzal, Florian Matthes, et al. · Findings of the Association for Computational Linguistics: ACL (Findings of ACL) · 3
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BERT Is Not The Count: Learning to Match Mathematical Statements with Proofs
2023 · Weixian Waylon Li, Yftah Ziser, et al. · Conference of the European Chapter of the Association for Computational Linguistics · 3
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Understanding Domain Learning in Language Models Through Subpopulation Analysis
2022 · Zheng Zhao, Yftah Ziser, et al. · BlackboxNLP Workshop on Analyzing and Interpreting Neural Networks for NLP (BlackboxNLP) · 3
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DILBERT: Customized Pre-Training for Domain Adaptation withCategory Shift, with an Application to Aspect Extraction
2021 · Lekhtman, Entony, Ziser, Yftah, et al. · arXiv (Cornell University) · 2
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A Simple Yet Effective Method for Non-Refusing Context Relevant Fine-grained Safety Steering in LLMs
2025 · Shaona Ghosh, Amrita Bhattacharjee, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP) · 1
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A Joint Matrix Factorization Analysis of Multilingual Representations
2023 · Zheng Zhao, Yftah Ziser, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP) · 1
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UniProbe: A Learnable Token-Level Hallucination Detector for Large VLMs using Multi-Structural Internal Representations
2026 · Samuel, Dvir, Bar-Shalom, Guy, et al. · arXiv (Cornell University)
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Debiasing Without Protected Attributes: Latent Concept Erasure from Textual Profiles
2026 · Shao, Shun, Zhao, Zheng, et al. · arXiv (Cornell University)
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Aligning What LLMs Do and Say: Towards Self-Consistent Explanations
2026 · Association for Computational Linguistics 2026, Admoni, Sahar, et al. · Underline Science Inc.
From Competition to Collaboration: Designing Sustainable Mechanisms Between LLMs and Online Forums
2026 · Niv Fono, Yftah Ziser, et al. · Adaptive Agents and Multi-Agents Systems
Works count: 65
Citation count: 487
H-index: 10
I10-index: 10
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