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20232026
most citedDoRA: Weight-Decomposed Low-Rank Adaptation

38 citations · 41 across the 20 of their papers we have counts for

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6 papers · 1 filter

cs.AI2026

World Editing: Intervening on Executable Worlds at Increasing Depth

Max Ku, Nok-Kan Law, Yu-Chien Tang +15

Interactive world models are increasingly capable of generating environments and acting within them, yet deliberately editing an existing executable world remains underexplored. We…

cs.CV2026

VIEScore2: Unified Image Evaluation with Spatially Grounded Explanations

Xianda Du, Max Ku, Weiming Ren +5

Existing synthetic image evaluators typically provide only a scalar quality score and do not identify the image regions that support it. We introduce VIEScore2, a unified evaluator…

cs.RO2026

PhysCaP: Grounding Code-as-Policy Agent with Physics-Informed Exploration

Chen-Yu Lin, Jing-Wen Chen, Hsueh-En Chang +8

We present PhysCaP, a Physics-Informed Code-as-Policy agent system for active perception in robotic manipulation. While vision-language-action policies excel at imitating demonstra…

cs.CV2026

SpatialClaw: Rethinking Action Interface for Agentic Spatial Reasoning

Seokju Cho, Ryo Hachiuma, Abhishek Badki +8

Spatial reasoning, the ability to determine where objects are, how they relate, and how they move in 3D, remains a fundamental challenge for vision-language models (VLMs). Tool-aug…

cs.CV2026

DVSM: Decoder-only View Synthesis Model Done Right

Cheng Sun, Jaesung Choe, Min-Hung Chen +2

Recent Large View Synthesis Models (LVSMs) advocate an encoder-decoder architecture that separates reconstruction and rendering into distinct networks. We re-examine this design. T…

cs.CV2026

Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning

Chi-Pin Huang, Yunze Man, Zhiding Yu +4

Vision-Language-Action (VLA) tasks require reasoning over complex visual scenes and executing adaptive actions in dynamic environments. While recent studies on reasoning VLAs show…