Evaluating Stochastic Collapse and Implicit Bias in Multimodal Large Language Models 事件

Evaluating Stochastic Collapse and Implicit Bias in Multimodal Large Language Models arXiv:2606.05874v1 Announce Type: new Abstract: Current evaluations for Multimodal Large Language Models (MLLMs) overwhelmingly focus on utility-driven objectives, leaving model behavior under logic-neutral scenarios largely underexplored. Stochasticity is essential in scenarios where multiple actions are equally valid, such as recommending travel itineraries or daily schedules where multiple options have simil