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This work introduces FinCUABuildBench, a benchmark for evaluating financial CUA task construction, and introduces FinCUABuildAgent, a multi-agent system for automatically constructing dynamic financial CUA evaluation tasks.
This work establishes a rigorous standard for trustworthiness in autonomous agents deployed for public health by evaluating VLMs across three progressive capabilities: Basic Perception (Ingredients&Cooking Methods), Quantitative Reasoning (Portion Size&Nutritional Profiling), and Safety-Critical Advisory (Disease-Speci...
This work proposes an LLM watermarking scheme \textit{WaterMoE} for the growingly popular Mixture-of-Experts (MoE) LLMs that achieves a fidelity performance close to the unwatermarked and consistently outperforms state-of-the-art watermarking methods on the benchmark.
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