Yftah Ziser
20 papers · 2017–2026 · 7 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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πΊοΈ Taxonomy Completionist (48) π Academic Marathon Β· Sprint π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver 𧬠Topic Evolution
π
Keyword Champion
(2)
ποΈ
Keyword Collector
(107)
π₯
Unstoppable Β· Bronze
β
The Questioner
π
Renaissance Researcher
(6)
π
Trend Setter
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(15)
Deep Learning
(12)
Natural Language Processing
(12)
Artificial Intelligence
(10)
Core AI
(9)
Learning Types Β· Deep Learning
(8)
Application Areas
(7)
Core Methods
(7)
Resources & Methods
(6)
Applications
(5)
Learning Types Β· Machine Learning
(5)
Architectures
(4)
Generation
(3)
Models
(3)
Learning Paradigms
(2)
Keywords
domain adaptation
(6)
representation learning
(5)
cross-lingual transfer
(4)
large language model
(3)
cross-domain sentiment classification
(2)
pivot based language model
(2)
pivot-based language modeling
(2)
hallucination detection
(2)
abstractive summarization
(2)
bias mitigation
(2)
unsupervised domain adaptation
(2)
transfer learning
(2)
language model
(2)
multilingual representation
(2)
sentiment classification
(2)
zero-shot learning
(2)
latent representation
(2)
spectral method
(2)
pre-trained language model
(2)
commonsense knowledge
(1)
Papers
Beyond Next Token Probabilities: Learnable, Fast Detection of Hallucinations and Data Contamination on LLM Output Distributions
AAAI 2026
A Simple Yet Effective Method for Non-Refusing Context Relevant Fine-grained Safety Steering in LLMs
EMNLP 2025
Iterative Multilingual Spectral Attribute Erasure
EMNLP 2025
Knowing Before Saying: LLM Representations Encode Information About Chain-of-Thought Success Before Completion
ACL 2025
Are Large Language Model Temporally Grounded?
NAACL 2024
Layer by Layer: Uncovering Where Multi-Task Learning Happens in Instruction-Tuned Large Language Models
EMNLP 2024
Spectral Editing of Activations for Large Language Model Alignment
NeurIPS 2024
A Joint Matrix Factorization Analysis of Multilingual Representations
EMNLP 2023
BERT Is Not The Count: Learning to Match Mathematical Statements with Proofs
EACL 2023
Detecting and Mitigating Hallucinations in Multilingual Summarisation
EMNLP 2023
Gold Doesnβt Always Glitter: Spectral Removal of Linear and Nonlinear Guarded Attribute Information
EACL 2023
Factorizing Content and Budget Decisions in Abstractive Summarization of Long Documents
EMNLP 2022
Understanding Domain Learning in Language Models Through Subpopulation Analysis
EMNLP 2022
Answering Product-Questions by Utilizing Questions from Other Contextually Similar Products
NAACL 2021
DILBERT: Customized Pre-Training for Domain Adaptation with Category Shift, with an Application to Aspect Extraction
EMNLP 2021
WikiSum: Coherent Summarization Dataset for Efficient Human-Evaluation
ACL 2021
Task Refinement Learning for Improved Accuracy and Stability of Unsupervised Domain Adaptation
ACL 2019
Deep Pivot-Based Modeling for Cross-language Cross-domain Transfer with Minimal Guidance
EMNLP 2018
Pivot Based Language Modeling for Improved Neural Domain Adaptation
NAACL 2018
Neural Structural Correspondence Learning for Domain Adaptation
CoNLL 2017