BERTese: Learning to Speak to BERT. - Adi Haviv; Jonathan Berant; Amir Globerson (EACL, 2021)

Can Latent Alignments Improve Autoregressive Machine Translation? - Adi Haviv; Lior Vassertail; Omer Levy (NAACL-HLT, 2021)

SCROLLS: Standardized CompaRison Over Long Language Sequences. - Uri Shaham 002; Elad Segal; Maor Ivgi; Avia Efrat; Ori Yoran; Adi Haviv; Ankit Gupta 001; Wenhan Xiong; Mor Geva; Jonathan Berant; Omer Levy (EMNLP, 2022)

Transformer Language Models without Positional Encodings Still Learn Positional Information. - Adi Haviv; Ori Ram; Ofir Press; Peter Izsak; Omer Levy (EMNLP (Findings), 2022)

Understanding Transformer Memorization Recall Through Idioms. - Adi Haviv; Ido Cohen 002; Jacob Gidron; Roei Schuster; Yoav Goldberg; Mor Geva (EACL, 2023)

OMG-Attack: Self-Supervised On-Manifold Generation of Transferable Evasion Attacks. - Ofir Bar Tal; Adi Haviv; Amit H. Bermano (ICCV (Workshops), 2023)

Not All Similarities Are Created Equal: Leveraging Data-Driven Biases to Inform GenAI Copyright Disputes. - Uri Hacohen; Adi Haviv; Shahar Sarfaty; Bruria Friedman; Niva Elkin-Koren; Roi Livni; Amit H. Bermano (CoRR, 2024)

Not Every Image is Worth a Thousand Words: Quantifying Originality in Stable Diffusion. - Adi Haviv; Shahar Sarfaty; Uri Hacohen; Niva Elkin-Koren; Roi Livni; Amit H. Bermano (CoRR, 2024)

ComfyGen: Prompt-Adaptive Workflows for Text-to-Image Generation. - Rinon Gal; Adi Haviv; Yuval Alaluf; Amit H. Bermano; Daniel Cohen-Or; Gal Chechik (CoRR, 2024)