LOSCAR-SGD combines local SGD, sparse communication, and overlap with a delay-corrected merge for heterogeneous workers, yielding convergence guarantees and faster training.
GridProbe scores frame evidence via frozen VLM answer-space probing and adaptive selection to reduce long-video attention costs with minimal accuracy loss. It matches monolithic baselines on Video-MME-v2 at 3.36x lower compute and Pareto-dominates baselines on LongVideoBench.
LithoBench evaluates large multimodal models on remote-sensing lithology interpretation via expert-annotated multi-level tasks, revealing substantial limitations in geological reasoning.