VISIT: Visualizing and Interpreting the Semantic Information Flow of Transformers. - Shahar Katz; Yonatan Belinkov (EMNLP (Findings), 2023)

Interpreting Transformer's Attention Dynamic Memory and Visualizing the Semantic Information Flow of GPT. - Shahar Katz; Yonatan Belinkov (CoRR, 2023)

Backward Lens: Projecting Language Model Gradients into the Vocabulary Space. - Shahar Katz; Yonatan Belinkov; Mor Geva; Lior Wolf (EMNLP, 2024)

Segment-Based Attention Masking for GPTs. - Shahar Katz; Liran Ringel; Yaniv Romano; Lior Wolf (ACL (1), 2025)

Reversed Attention: On The Gradient Descent Of Attention Layers In GPT. - Shahar Katz; Lior Wolf (NAACL (Long Papers), 2025)

Execution Guided Line-by-Line Code Generation. - Boaz Lavon; Shahar Katz; Lior Wolf (CoRR, 2025)

Detecting and Pruning Prominent but Detrimental Neurons in Large Language Models. - Ameen Ali; Shahar Katz; Lior Wolf; Ivan Titov (CoRR, 2025)