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cs.CV2026
What Comes Next? Omni-StoryBench for Evaluating Story-Grounded Omnimodal Generation
Sieun Hyeon, Yejoon Lee, Mintaek Lim +3
Omnimodal evaluation should go beyond independent text, image, and speech production: individually plausible outputs may not express a coherent shared event. We introduce Omni-Stor…
cs.DB2026
Revisiting Filtered ANN Benchmarks: A Hardness-Controlled Benchmark Generator for Realistic Evaluation
Mintaek Lim, Dogeun Kim, Minwoo Kim +1
Filtered approximate nearest neighbor (FANN) search must satisfy both vector similarity and structured predicates, yet evaluations remain brittle because real hybrid workloads are…
cs.CL2026
Dynin-Omni: Omnimodal Unified Large Diffusion Language Model
Jaeik Kim, Woojin Kim, Jihwan Hong +8
We present Dynin-Omni, the first masked-diffusion-based omnimodal foundation model that unifies text, image, and speech understanding and generation, together with video understand…