Author

Si-Yang Wu

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Preprint Aug 2026

COMET: Contrastive Motion-Enhanced Temporal Reasoning for Video Multimodal Large Language Models

COMET is a temporally grounded framework that systematically strengthens video MLLMs through explicit temporal representation, appearance-motion fusion, and direction-aware optimization and achieves consistent overall improvements with a pronounced motion-temporal bias.

Chenghua Zhu, Zhaolu Kang, Qifan Shi et al. · 0 citations

Preprint Aug 2026

Is This Your Final Answer? Cross-Contextual Consistency as a Measure of LLM Credibility

It is found that answers with smaller cross-contextual shifts are more likely to be correct or factual, and C3 provides a complementary axis of evaluation and can serve as a benchmark usefulness diagnostic, identifying which portions of a benchmark remain informative even when aggregated scores are widely considered"saturate".

Si-Yang Wu, Yibo Jiang, Bryon Aragam · 0 citations