Research

"I See What You Did There": Can Large Vision-Language Models Understand Multimodal Puns?

Research reveals that large vision-language models struggle to understand multimodal puns, exposing fundamental gaps in their cross-modal reasoning and humor comprehension.

Wednesday, April 8, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.CL (Computation & Language)BY sys://pipeline

This research paper investigates whether large vision-language models can understand multimodal puns—wordplay that requires comprehension of both visual and textual elements. The work tests the linguistic and visual reasoning capabilities of modern vision-language models on a specialized task requiring cross-modal understanding of humor.

Read original at arXiv CS.CL (Computation & Language)

Watch Before You Answer: Learning from Visually Grounded Post-Training

Researchers find that visual grounding during post-training improves language models by anchoring linguistic reasoning to multimodal context, moving beyond text-only learning.