Author

Kai Lv

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Preprint Oct 2026

ArticuTable: Generating Instance-Level Interactive Rigid-Articulated 3D Tabletop Scenes from a Single Image

Embodied agents benefit from 3D environments that combine visual fidelity to real-world observations with physical interactivity. Existing single-image tabletop reconstruction methods recover plausible scene geometry but typically represent objects as monolithic rigid bodies, limiting interaction to whole-object rigid...

Kai Lv, Yi-Bo Yin, Li-Jun Guo et al. · 0 citations

Preprint Aug 2026

Group Perspective Matters: Regulating Debate Relationships Can Mitigate Blind Conformity in Multi-Agent Debate

This paper proposes a novel framework for Dynamicallyynamically regulatingdebate Relationships (DEAR) from the group perspective, and formulate the execution of the two RL-Agents as a sequential decision-making process, jointly optimizing via multi-agent reinforcement learning.

Hao Wu, Shoucheng Song, Chang Yao et al. · 0 citations

Preprint Jul 2026

Local Motion Matters: A Deconstruct-Recompose Paradigm for Reinforcement Learning Pre-training from Videos

This work proposes a novel Deconstruct-Recompose Paradigm (DRP) for learning transferable local motion representations and introduces a Dual-Attention Encoder to learn local motion representations from these Atomic Actions, capturing their spatiotemporal relationships.

Jinwen Wang, Youfang Lin, X. Hu et al. · 0 citations