Author

Hildegard Kuehne

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Preprint Oct 2026

Meta-Video: Efficient Standardized Evaluation for Video Understanding

Video understanding benchmarks are the primary yardstick for measuring progress in video-language modeling, and a growing body of work relies on them to claim improvements. The reported benchmark scores in these works, however, are almost always produced by frameworks (e.g., lmms eval) used as black boxes: certain eval...

Soumya Jahagirdar, A. Kukleva, Vishaal Udandarao et al. · 0 citations

Preprint Aug 2026

Falcon Perception-HD: High Density Perception via Reinforcement Learning

This paper explores post-training reinforcement learning (RL), specifically GRPO, to directly align autoregressive perception models with their evaluation metrics, and designs an RL framework that addresses perception-specific challenges: reward design for set-structured outputs and multi-head sampling control.

Sofian Chaybouti, Yasser Dahou, N. Huynh et al. · 0 citations