Transformer Interpretability Beyond Attention Visualization. - Hila Chefer; Shir Gur; Lior Wolf (CVPR, 2021)

Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers. - Hila Chefer; Shir Gur; Lior Wolf (ICCV, 2021)

Image-Based CLIP-Guided Essence Transfer. - Hila Chefer; Sagie Benaim; Roni Paiss; Lior Wolf (ECCV (13), 2022)

No Token Left Behind: Explainability-Aided Image Classification and Generation. - Roni Paiss; Hila Chefer; Lior Wolf (ECCV (12), 2022)

Optimizing Relevance Maps of Vision Transformers Improves Robustness. - Hila Chefer; Idan Schwartz; Lior Wolf (NeurIPS, 2022)

Discriminative Class Tokens for Text-to-Image Diffusion Models. - Idan Schwartz; Vésteinn Snæbjarnarson; Hila Chefer; Serge J. Belongie; Lior Wolf; Sagie Benaim (ICCV, 2023)

Discriminative Class Tokens for Text-to-Image Diffusion Models. - Idan Schwartz; Vésteinn Snæbjarnarson; Sagie Benaim; Hila Chefer; Ryan Cotterell; Lior Wolf; Serge J. Belongie (CoRR, 2023)

Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models. - Hila Chefer; Yuval Alaluf; Yael Vinker; Lior Wolf; Daniel Cohen-Or (ACM Trans. Graph., 2023)

The Hidden Language of Diffusion Models. - Hila Chefer; Oran Lang; Mor Geva; Volodymyr Polosukhin; Assaf Shocher; Michal Irani; Inbar Mosseri; Lior Wolf (ICLR, 2024)

Lumiere: A Space-Time Diffusion Model for Video Generation. - Omer Bar-Tal; Hila Chefer; Omer Tov; Charles Herrmann; Roni Paiss; Shiran Zada; Ariel Ephrat; Junhwa Hur; Guanghui Liu; Amit Raj; Yuanzhen Li; Michael Rubinstein; et al. (SIGGRAPH Asia, 2024)

Still-Moving: Customized Video Generation without Customized Video Data. - Hila Chefer; Shiran Zada; Roni Paiss; Ariel Ephrat; Omer Tov; Michael Rubinstein; Lior Wolf; Tali Dekel; Tomer Michaeli; Inbar Mosseri (ACM Trans. Graph., 2024)

A Meaningful Perturbation Metric for Evaluating Explainability Methods. - Daniel Cohen-Or; Hila Chefer; Lior Wolf (SCIA (2), 2025)

VideoJAM: Joint Appearance-Motion Representations for Enhanced Motion Generation in Video Models. - Hila Chefer; Uriel Singer; Amit Zohar; Yuval Kirstain; Adam Polyak; Yaniv Taigman; Lior Wolf; Shelly Sheynin (CoRR, 2025)

FlowMo: Variance-Based Flow Guidance for Coherent Motion in Video Generation. - Ariel Shaulov; Itay Hazan; Lior Wolf; Hila Chefer (CoRR, 2025)

Revisiting LRP: Positional Attribution as the Missing Ingredient for Transformer Explainability. - Yarden Bakish; Itamar Zimerman; Hila Chefer; Lior Wolf (CoRR, 2025)