Yuval Reif

According to our database, Yuval Reif authored at least 7 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

Why Fine-Tuning Encourages Hallucinations and How to Fix It.

Guy Kaplan, Zorik Gekhman, Zhen Zhu, Lotem Rozner, Yuval Reif, Swabha Swayamdipta, Derek Hoiem, Roy Schwartz

CoRR, April, 2026

The Roots of Performance Disparity in Multilingual Language Models: Intrinsic Modeling Difficulty or Design Choices?

Chen Shani, Yuval Reif, Nathan Roll, Dan Jurafsky, Ekaterina Shutova

CoRR, January, 2026

2025

Vocab Diet: Reshaping the Vocabulary of LLMs with Vector Arithmetic.

Yuval Reif, Guy Kaplan, Roy Schwartz

CoRR, October, 2025

Follow the Flow: On Information Flow Across Textual Tokens in Text-to-Image Models.

Guy Kaplan, Michael Toker, Yuval Reif, Yonatan Belinkov, Roy Schwartz

CoRR, April, 2025

From Tokens to Words: On the Inner Lexicon of LLMs.

Guy Kaplan, Matanel Oren, Yuval Reif, Roy Schwartz

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Beyond Performance: Quantifying and Mitigating Label Bias in LLMs.

Yuval Reif, Roy Schwartz

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

Fighting Bias With Bias: Promoting Model Robustness by Amplifying Dataset Biases.

Yuval Reif, Roy Schwartz

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2023, 2023