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ESPP not only enhances the fidelity of GenUI evaluations but also uncovers nuanced user group divergences that traditional methods miss.
Salience Bias in LLMs reveals that models often ignore commonsense reasoning in favor of misleading explicit cues, with lightweight prompting showing promise in addressing this issue.
MLLMs excel at single-hop tasks but falter dramatically in open-world scenarios, revealing critical gaps in their reasoning capabilities.
