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20242026
most citedMixture-of-Experts Can Surpass Dense LLMs Under Strictly Equal Resource

2 citations · 5 across the 32 of their papers we have counts for

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14 papers · 1 filter

cs.CV2026

PerceptionRubrics: Calibrating Multimodal Evaluation to Human Perception

Yana Wei, Hongbo Peng, Yanlin Lai +14

We introduce PerceptionRubrics, a rubric-based evaluation framework that addresses the gap between saturated benchmark scores and real-world brittleness. Shifting evaluation from h…

cs.CV2026

AndroidDaily: A Verifiable Benchmark for Mobile GUI Agents on Real-World Closed-Source Applications

Yifan Sui, Xin Huang, Hongbing Li +14

The rapid development of GUI foundation models and mobile GUI agents has spurred numerous evaluation benchmarks, yet most rely on simulated environments or open-source applications…

cs.CV2026

WebVR: Benchmarking Multimodal LLMs for WebPage Recreation from Videos via Human-Aligned Visual Rubrics

Yuhong Dai, Yanlin Lai, Mitt Huang +9

Existing web-generation benchmarks rely on text prompts or static screenshots as input. However, videos naturally convey richer signals such as interaction flow, transition timing,…

cs.CV2026

STEP3-VL-10B Technical Report

Ailin Huang, Chengyuan Yao, Chunrui Han +90

We present STEP3-VL-10B, a lightweight open-source foundation model designed to redefine the trade-off between compact efficiency and frontier-level multimodal intelligence. STEP3-…

cs.CV2025

GUI Exploration Lab: Enhancing Screen Navigation in Agents via Multi-Turn Reinforcement Learning

Haolong Yan, Yeqing Shen, Xin Huang +9

With the rapid development of Large Vision Language Models, the focus of Graphical User Interface (GUI) agent tasks shifts from single-screen tasks to complex screen navigation cha…

cs.CV2025

ReasonEdit: Towards Reasoning-Enhanced Image Editing Models

Fukun Yin, Shiyu Liu, Yucheng Han +12

Recent advances in image editing models have shown remarkable progress. A common architectural design couples a multimodal large language model (MLLM) encoder with a diffusion deco…