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Author

Siliang Tang

Observed name: Tang, Siliang
Institution: Zhejiang University
Observed institution: Zhejiang University
OpenAlex ID: A5130636599
Iron: Intent-Aligned and Retrospective Dual Learning Framework for Enhancing Generalist Virtual Agents
2026 · Ying, Jiahe, Bu, Wendong, et al. · arXiv (Cornell University)
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SCOPE: Evolving Symbolic World for Planning in Open-Ended Environments
2026 · Zhan, Yundaichuan, Gao, Minghe, et al. · arXiv (Cornell University)
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Learning to Adapt: Self-Improving Web Agent via Cognitive-Aware Exploration
2026 · Chen, Weile, Miao, Bingchen, et al. · arXiv (Cornell University)
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InstructSAM: Segment Any Instance with Any Instructions
2026 · Yuan, Yuqian, Li, Wentong, et al. · arXiv (Cornell University)
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SpatialFusion: Endowing Unified Image Generation with Intrinsic 3D Geometric Awareness
2026 · Qiu, Haiyi, Pan, Kaihang, et al. · arXiv (Cornell University)
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CoMoL: Efficient Mixture of LoRA Experts via Dynamic Core Space Merging
2026 · Cao, Jie, Fan, Zhenxuan, et al. · arXiv (Cornell University)
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PILOT: Planning via Internalized Latent Optimization Trajectories for Large Language Models
2026 · Zheng, Haoyu, Zhu, Yun, et al. · arXiv (Cornell University)
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CORE: Code-based Inverse Self-Training Framework with Graph Expansion for Virtual Agents
2026 · Wang, Keyu, Miao, Bingchen, et al. · arXiv (Cornell University)
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VisualThink-VLA: Visual Intermediate Reasoning for Effective and Low-Latency Vision-Language-Action Policies
2026 · Mingjian Gao, Wenqiao Zhang, et al. · Findings of the Association for Computational Linguistics: EMNLP (Findings of EMNLP)
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AWARe: Mitigating Catastrophic Forgetting via Activation-Weighted Adaptive REtention
2026 · Juncheng Liao, Jinfan Lv, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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RoboSPA: Can VLA Models Go Beyond Simple Scenes and Short-Horizon Tasks?
2026 · Zhenxuan Fan, Bo Zhang, et al. · Conference on Empirical Methods in Natural Language Processing (EMNLP)
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OmniMoGen: Unifying Human Motion Generation via Learning from Interleaved Text-Motion Instructions
2025 · Bu, Wendong, Pan, Kaihang, et al. · arXiv (Cornell University)
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Benchmarking Multimodal CoT Reward Model Stepwise by Visual Program
2025 · Gao, Minghe, Liu, Xuqi, et al. · Chalmers Research (Chalmers University of Technology)
Works count: 13
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