الباحثون

Zhenfei Yin

المنشورات 7

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Arm-wise Compositional Generalization in Dual-Arm Vision-Language-Action Models

Zaibin Zhang, Binghao Ran, Yuhan Wu وآخرون · 2026

Generalization in multi-arm collaboration can be studied as composing familiar atomic skills in new ways across arms. However, existing evaluations offer limited insight into which training and architectural choices support this ability under different coordination requirements. We introduce \textbf{ACG-Bench}, a bench …

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Oneira: From Open-Ended Generation to Open-World Interaction in Video World Models

Xindi Yang, Baolu Li, Liam Lee وآخرون · 2026

Generative video world models can now synthesize open-ended environments that agents can navigate and interact with in simple ways. Yet open-ended generation does not imply full interaction: as a generated world expands, newly created content through navigation should expand what the agent can act upon, and as the agen …

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SocioVerse2: A Longitudinal Dynamic Social Simulation Framework under a Human-AI Co-evolutionary Paradigm

Xinnong Zhang, Jiayu Lin, Jia Wang وآخرون · 2026

Social simulation offers the social sciences an experimental instrument that the real world cannot supply, and generative agents have transformed it by acting as silicon samples that unite agent-based modeling with real behavioral data. Existing platforms verify collective behavior, align simulated populations with rea …

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JEPA-Anything: Learning Predictive Models across Different Worlds

Taoyong Cui, Zhongyao Wang, Xinyue Xu وآخرون · 2026

World modeling enables intelligence to anticipate consequences, guide interventions, and learn from interaction. Yet predictive models remain domain-specific: can a common learning principle support world modeling across radically different systems? We introduce JEPA-Anything, a domain-agnostic framework based on ortho …

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ScienceIDE: Turning World's Scientific Codebase into Agent Learnable Environments

Hejia Geng, Zesen Huang, Haoyang Li وآخرون · 2026

Scientific code repositories encode decades of human knowledge in executable models, methods, and tools. Yet fragmented toolchains, implicit domain conventions, and specialized correctness criteria make this knowledge difficult to convert into reliable learning experience-a challenge we call the scientific experience b …

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ScienceBuddy: Recursive-in-Recursive Self-Improvement for Interactive Scientific Agents

Shuhan Xue, Jianyuan Zhong, Ziyuan Nan وآخرون · 2026

We introduce and release ScienceBuddy, an interactive scientific research workspace that brings continually improving scientific agents into researchers' everyday workflows. ScienceBuddy supports researchers in carrying out scientific tasks while transforming their requests, feedback, and execution evidence into tasks …

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