984 citations · 1.1k across the 27 of their papers we have counts for
Showing 2026Show all
3 papers · 1 filter
cs.CV2026
A Strong Baseline for Evaluating Vision Encoders in Multimodal Large Language Models
Yilin Yang, Jun-Tao Tang, Kengyi Wang +3
Evaluating vision encoders requires metrics that reliably predict their downstream performance in multimodal large language models (MLLMs). Although recent studies have shown that…
cs.CV2026
Knowledge-Intensive Video Generation
Chenxu Wang, Mingda Chen
Text-to-video generation has advanced rapidly in visual quality, but remains under-evaluated for factuality and practical usefulness. We introduce knowledge-intensive video generat…
cs.CL2026
Procedural Knowledge at Scale Improves Reasoning
Di Wu, Devendra Singh Sachan, Wen-tau Yih +1
Test-time scaling has emerged as an effective way to improve language models on challenging reasoning tasks. However, most existing methods treat each problem in isolation and do n…