General-purpose agents increasingly write code, use tools, and complete complex digital tasks, raising the question of how far these capabilities carry into the physical world. To investigate this, we introduce RobotWorld, a challenging simulation testbed for robot use: turning instructions and observations into physic...
Zhiqin Yang, Chen-Xin Li, Xiao-Meng Hu et al.· 0 citations
World simulation is inherently multisensory, demanding synchronized visual and acoustic dynamics in real time. Yet prevailing interactive world models remain strictly silent, focusing exclusively on visual rendering and control while overlooking the acoustic dimension. We present HelixWorld, a real-time interactive aud...
Lei Ke, Jia-Hao Pan, Ze-Yue Tian et al.· 0 citations
A common approach to world-model simulation for vision-language-action (VLA) systems is to predict future RGB observations and then re-encode them into policy inputs, introducing an indirect interface between simulation and downstream policy execution. We instead investigate whether world dynamics can be modeled in a c...
Chu-Yao Fu, Xiao-Wei Chi, Yu-Han Rui et al.· 0 citations
Embodied Artificial Intelligence (AI) introduces cyber–physical risks because digital failures and attacks can cause physical harm. This survey organizes embodied AI safety through a four-layer reference architecture — comprising the physical interaction, system and middleware, algorithm and decision, and cloud–edge an...
Tuo Feng, Yue Zhang, Shi-Ji Zhou et al.· AI Plus· 0 citations
Embodied co-painting requires a robot to repeatedly update a shared physical canvas while human intent evolves over interaction. Existing reference-driven painters or reactive assistants are typically optimized for single-shot rendering or sketch completion, limiting their ability to sustain coherent multi-round collab...
Dan-Tong Qin, Yi-Ke Guo, Qin-Lin Liu et al.· 0 citations
This work provides a theoretically grounded condition under which a self-evolved harness can be reliably adopted and proposes a validation rule to make the evolved system satisfy the reliable adoption condition with theoretical guarantees.
Qi Cai, Yong-Gang Zhang, Jun Nie et al.· 2 citations· ⚡2
Symbolic models make melody, harmony, rhythm, and form explicit but typically stop before a finished recording; audio models produce complete songs while leaving composition implicit. We introduce YuE2, which unifies symbolic and audio music generation at frontier quality through symbolic planning. A single AR-NAR Mixt...
Rui-Bin Yuan, Jia-Hao Pan, Jun-Yan Jiang et al.· 1 citation
OMP-MoE, a novel training-free compression framework for reducing expert redundancy in MoE-based LLMs by reformulate the pruning problem as a sparse signal reconstruction task solved through Orthogonal Matching Pursuit.
De-Zhi Li, Lu-Jun Li, Qi-Yuan Zhu et al.· 0 citations
This study evaluates rendered code in repository-level repair workflows and introduces controlled agent settings to separate unguided repository exploration from more structured repair stages, and positions rendered code as a viable but conditional compression mechanism for realistic coding agents.
Weijie Liang, Yuanfeng Song, Xing Chen et al.· 0 citations
Decoupled Proactive Safety Monitoring is formalized along three dimensions: whether to intervene, when to intervene, and what the risk is, to address proactive intervention limitations in Large Language Models.
Jia-Peng Sun, Yu-Jin Zhou, Han Zhu et al.· 0 citations
The Multi-Decoder Concept Embedding Variational Autoencoder (MD-VAE), which enhances latent space interpretability by learning distinct latent variables through multiple decoders and can improve the prediction performance of VAE while discovering differences between different concepts.
Zi-Tu Liu, Yue Liu, Shuang Li et al.· Applied intelligence (Boston...· 0 citations
Evaluation across 18 proprietary and open-source agents uncovers a Right-Answer-Wrong-Reason effect and reveals that hallucination subclasses cluster rather than scatter, forming distinct agentic framework, legal task, and category profiles validate the diagnostic power of LexAgentHallu for evaluating agentic hallucina...
Yu-Jin Zhou, Min Zheng, Chuxue Cao et al.· 0 citations
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