2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2025
Efficient Video Sampling: Pruning Temporally Redundant Tokens for Faster VLM Inference
Natan Bagrov, Eugene Khvedchenia, Borys Tymchenko +9
Vision-language models (VLMs) have recently expanded from static image understanding to video reasoning, but their scalability is fundamentally limited by the quadratic cost of pro…
cs.CV2025★ 2 cited
Eagle 2: Building Post-Training Data Strategies from Scratch for Frontier Vision-Language Models
Zhiqi Li, Guo Chen, Shilong Liu +24
Recently, promising progress has been made by open-source vision-language models (VLMs) in bringing their capabilities closer to those of proprietary frontier models. However, most…