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20242026
most citedGrounded Answers for Multi-agent Decision-making Problem through Generative World Model

1 citations · 1 across the 9 of their papers we have counts for

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10 papers

cs.CV2026

VoxAfford: Multi-Scale Voxel-Token Fusion for Open-Vocabulary 3D Affordance Detection

Haowen Sun, Shaolong Zhang, Mingyang Li +6

Open-vocabulary 3D affordance detection requires localizing interaction regions on point clouds given novel affordance descriptions. Recent methods extend multimodal large language…

cs.CL2026

GeoBlock: Inferring Block Granularity from Dependency Geometry in Diffusion Language Models

Lipeng Wan, Junjie Ma, Jianhui Gu +3

Block diffusion enables efficient parallel refinement in diffusion language models, but its decoding behavior depends critically on block size. Existing block-sizing strategies rel…

cs.AI2026

Progressive Refinement Regulation for Accelerating Diffusion Language Model Decoding

Lipeng Wan, Jianhui Gu, Junjie Ma +4

Diffusion language models generate text through iterative denoising under a uniform refinement rule applied to all tokens. However, tokens stabilize at different rates in practice,…

cs.RO2025

Bridging Simulation and Reality: Cross-Domain Transfer with Semantic 2D Gaussian Splatting

Jian Tang, Pu Pang, Haowen Sun +4

Cross-domain transfer in robotic manipulation remains a longstanding challenge due to the significant domain gap between simulated and real-world environments. Existing methods suc…

cs.RO2025

PRISM: Projection-based Reward Integration for Scene-Aware Real-to-Sim-to-Real Transfer with Few Demonstrations

Haowen Sun, Han Wang, Chengzhong Ma +4

Learning from few demonstrations to develop policies robust to variations in robot initial positions and object poses is a problem of significant practical interest in robotics. Co…

cs.LG2025

Playing Non-Embedded Card-Based Games with Reinforcement Learning

Tianyang Wu, Lipeng Wan, Yuhang Wang +2

Significant progress has been made in AI for games, including board games, MOBA, and RTS games. However, complex agents are typically developed in an embedded manner, directly acce…