Profile picture of Yanai Elazar
Assistant Professor
Bar-Ilan University
Building 503, Room 209

Yanai Elazar

I am an assistant professor in the Department of Computer Science at Bar-Ilan University.
I work on Artificial Intelligence and Machine Learning, focusing on Interpretability, Data Attribution, and Evaluation of generative models (e.g., LLMs), to develop holistic, causal, and data-centric approaches to study how, when, and why such models work (and when they don't).

I was previously a postdoc at AI2 and at the University of Washington. I completed my PhD in Computer Science in the NLP lab at Bar-Ilan University.

I'm happy to talk about research in general, and my own work in particular. If you have any questions about one of my papers, or my overall research, feel free to reach out!

If you would like to work with my lab, send me an email, I'm recruiting!

News

Organizing ISCOL 2025 at BIU
December 2025
Started as an assistant professor at Bar-Ilan University
August 2025
Keynote talk at The First Workshop on Large Language Model Memorization (L2M2) @ ACL 2025
August 2025
OLMoTrace received the best demo award at ACL 2025
July 2025
Invited talk at RIKEN, Tokyo
April 2025
Interviewed for the Causal Bandits podcast
October 2024
OLMo and Dolma got best paper awards at ACL 2024
August 2024
Co-Organized the 1st Data Contamination Workshop at ACL 2024
August 2024
Interviewed for an article on Science News
July 2024

Selected Publications

For a full list of my publications, see this page, or my Google Scholar profile.

OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens
Liu et al., Best Demo Award 🏆 @ ACL system demonstrations 2025

On Linear Representations and Pretraining Data Frequency in Language Models
Merullo et al., ICLR 2025

How Many Van Goghs Does It Take to Van Gogh? Finding the Imitation Threshold
Verma et al., preprint

Evaluating \( n \)-Gram Novelty of Language Models Using Rusty-DAWG,
Merrill et al., EMNLP 2024

Detection and Measurement of Syntactic Templates in Generated Text
Shaib et al., EMNLP 2024

The Bias Amplification Paradox in Text-to-Image Generation
Seshadri et al., NAACL 2024

What's In My Big Data?
Elazar et al., ICLR 2024 spotlight

Estimating the Causal Effect of Early ArXiving on Paper Acceptance,
*Elazar and *Zhang and *Wadden, et al., CLeaR 2024

Measuring and Improving Consistency in Pretrained Language Models
Elazar et al., TACL 2021

Amnesic Probing: Behavioral Explanation with Amnesic Counterfactuals
Elazar et al., TACL 2021

Posts

Meta-Reviewing for ACL-ARR (EMNLP)

My experience from meta-reviewing for ARR, and on some reviewer's fallacies

From Interviewee To Interviewer

Behind the scences of the interviewing process

Attending ACL 2020

My strategy for attending my first virtual conference.

Remote Servers

How to setup your environment to seemingly work with remote servers.