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20242026
most citedA Survey of Small Language Models

6 citations · 7 across the 10 of their papers we have counts for

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5 papers · 1 filter

cs.CV2026

VeriPhy: Agentic Physical Reasoning for World Model Evaluation and Refinement

Wenzhuo Xu, Yuchen Zhu, Chongjian Ge +8

Visual fluency in generated video does not imply physical reliability, and a scalar quality score alone is incapable of indicating the obligation a clip violates or the moment it f…

cs.CV2026

Thinking with Anchors: Grounded and Efficient Document Reasoning

Sichen Zhu, Yuchen Zhu, Wenzhuo Xu +13

Existing document understanding benchmarks have largely focused on locating page elements, yet real-world document intelligence requires models to reason jointly about region seman…

cs.CV2025

FastCar: Cache Attentive Replay for Fast Auto-Regressive Video Generation on the Edge

Xuan Shen, Weize Ma, Yufa Zhou +11

Auto-regressive (AR) models, initially successful in language generation, have recently shown promise in visual generation tasks due to their superior sampling efficiency. Unlike i…

cs.CV2025

DraftAttention: Fast Video Diffusion via Low-Resolution Attention Guidance

Xuan Shen, Chenxia Han, Yufa Zhou +7

Diffusion transformer-based video generation models (DiTs) have recently attracted widespread attention for their excellent generation quality. However, their computational cost re…

cs.CV2025

QuartDepth: Post-Training Quantization for Real-Time Depth Estimation on the Edge

Xuan Shen, Weize Ma, Jing Liu +9

Monocular Depth Estimation (MDE) has emerged as a pivotal task in computer vision, supporting numerous real-world applications. However, deploying accurate depth estimation models…