Omni-DuplexEval provides a new benchmark and automatic evaluation method for real-time duplex omni-modal interaction, showing state-of-the-art models reach only 39.6% overall and 20% on proactive reminders.
Egoschema: A diagnostic benchmark for video understanding
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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The authors evaluate form factors via HQET and z-expansion for B_s to D_s** l nu decays, predict SM LFU ratios R_Ds0*=0.158(20) etc., and analyze NP effects in WET/SMEFT/2HDM showing scalar/tensor operators produce >2 sigma deviations in some observables.
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Omni-DuplexEval: Evaluating Real-time Duplex Omni-modal Interaction
Omni-DuplexEval provides a new benchmark and automatic evaluation method for real-time duplex omni-modal interaction, showing state-of-the-art models reach only 39.6% overall and 20% on proactive reminders.
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A Comprehensive Analysis of $B_s \to D_s^{**}\ell\nu_\ell$ Decays Within and Beyond the Standard Model
The authors evaluate form factors via HQET and z-expansion for B_s to D_s** l nu decays, predict SM LFU ratios R_Ds0*=0.158(20) etc., and analyze NP effects in WET/SMEFT/2HDM showing scalar/tensor operators produce >2 sigma deviations in some observables.