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cs.CV2026
FORUM: Frozen Outputs Reconciled Using Model Agreement for Visual Grounding
Taiyo Sato, Takamasa Sanda, Keisuke Maeda +3
Frozen multimodal large language models (MLLMs) now solve standard referring expression comprehension with a single prompted call, yet on adversarial benchmarks with same-category…
cs.CV2026
PoE-Fuse: Precision-Weighted Expert Fusion for Bi-Temporal Change Understanding
Haruki Watase, Shunya Nagashima, Takayuki Nishimura
Bi-temporal change understanding, which localizes and characterizes what changed between two satellite images, is central to disaster response and environmental monitoring, spannin…
cs.LG2026
Forecast Workflow Bench: Evaluating Language-Model Decisions with Budgeted Forecast Tools
Shunya Nagashima
Time-series foundation models (TSFMs) provide forecasts for operational decisions, but accuracy alone does not determine their value. Evaluating agents that use these models requir…