Yotam Perlitz
9 papers · 2022–2026 · 5 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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🌍
Conference Polyglot · Silver
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(15)
🐣
Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(7)
Natural Language Processing
(6)
Learning Types
(4)
Resources & Methods
(4)
Artificial Intelligence
(2)
Application Areas
(2)
Core AI
(2)
Optimization & Theory · Machine Learning
(2)
Deep Learning
(1)
Applications
(1)
Core Methods
(1)
Generation
(1)
Optimization & Theory · Deep Learning
(1)
Keywords
benchmark evaluation
(3)
language model
(2)
model evaluation
(2)
llm evaluation
(2)
natural language inference
(1)
in-context learning
(1)
natural language generation
(1)
prompt engineering
(1)
language model evaluation
(1)
neural text generation
(1)
model adaptation
(1)
feedback generation
(1)
sensitivity analysis
(1)
preference modeling
(1)
zero-shot classification
(1)
prompt perturbation
(1)
generative artificial intelligence
(1)
error analysis
(1)
text processing pipeline
(1)
instruction-tuned model
(1)
Papers
CLEAR: Error Analysis via LLM-as-a-Judge Made Easy
AAAI 2026
DOVE: A Large-Scale Multi-Dimensional Predictions Dataset Towards Meaningful LLM Evaluation
ACL 2025
JuStRank: Benchmarking LLM Judges for System Ranking
ACL 2025
Efficient Benchmarking (of Language Models)
NAACL 2024
Navigating the Modern Evaluation Landscape: Considerations in Benchmarks and Frameworks for Large Language Models (LLMs)
COLING 2024
Unitxt: Flexible, Shareable and Reusable Data Preparation and Evaluation for Generative AI
NAACL 2024
Active Learning for Natural Language Generation
EMNLP 2023
nBIIG: A Neural BI Insights Generation System for Table Reporting
AAAI 2023
Zero-Shot Text Classification with Self-Training
EMNLP 2022