Paper accepted to ICML 2026 as a Spotlight
“Dissecting Multimodal In-Context Learning: Modality Asymmetries and Circuit Dynamics in Modern Transformers” was accepted to ICML 2026 as a Spotlight.
“Dissecting Multimodal In-Context Learning: Modality Asymmetries and Circuit Dynamics in Modern Transformers” was accepted to ICML 2026 as a Spotlight.
“Structural Pruning of Large Vision-Language Models: Pruning Dynamics, Recovery, and Data Efficiency” was accepted to IJCV 2026.
“Investigating Structural Pruning and Recovery Techniques for Compressing MLLMs” was accepted to GCPR 2025 as an Oral.
“Revealing and Reducing Gender Biases in Vision and Language Assistants (VLAs)” was accepted to ICLR 2025.