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cs.CV2026
Cross-Modal Forgetting and Transfer in Unified Multimodal Post-Training
Francesco Colasurdo, Ivan Slobozhan, Joaquin Vanschoren +1
Unified multimodal models answer questions about images and also generate images with one shared set of weights. This creates a post-training risk that single-purpose models do not…
cs.CV2026
PlaySuite: A Large-Scale Benchmark for Interactive Visual Intelligence
Dheeraj Varghese, Anna Vettoruzzo, Walter Simoncini +5
Recent advances in multimodal foundation models yield strong performance on static perception and reasoning benchmarks, yet such evaluations largely overlook a central aspect of in…