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Huan Wang

Salesforce Research, AI Research, Palo Alto, CA, USA

19 papers at tracked venues · 11 at CORE A* · active 2024–2025

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Venues

EMNLP ×4ICLR ×4ACL ×2NAACL ×2NeurIPS ×2AAAI ×1CVPR ×1ECCV ×1ICCV ×1SDM ×1

Frequent coauthors

Jianguo Zhang
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Zhiwei Liu
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Juntao Tan
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Akshara Prabhakar
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Le Xue
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Kung-Hsiang Huang
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Kexun Zhang
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Thai Quoc Hoang
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Zixian Ma
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Shiyu Wang
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Zuxin Liu
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Shu Zhang
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Papers

  1. APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
    NeurIPS 2025 ·
    Akshara Prabhakar
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  2. ActionStudio: A Lightweight Framework for Data and Training of Large Action Models
    EMNLP 2025 ·
    Jianguo Zhang
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  3. BLIP-3: A Family of Open Large Multimodal Models
    ICCV 2025 ·
    Le Xue
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  4. CRMArena: Understanding the Capacity of LLM Agents to Perform Professional CRM Tasks in Realistic Environments
    NAACL 2025 ·
    Kung-Hsiang Huang
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  5. Diversity Empowers Intelligence: Integrating Expertise of Software Engineering Agents
    ICLR 2025 ·
    Kexun Zhang
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  6. LAM SIMULATOR: Advancing Data Generation for Large Action Model Training via Online Exploration and Trajectory Feedback
    ACL 2025 ·
    Thai Quoc Hoang
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  7. LATTE: Learning to Think with Vision Specialists
    EMNLP 2025 ·
    Zixian Ma
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  8. MCPEval: Automatic MCP-based Deep Evaluation for AI Agent Models
    EMNLP 2025 ·
    Zhiwei Liu
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  9. PersonaBench: Evaluating AI Models on Understanding Personal Information through Accessing (Synthetic) Private User Data
    ACL 2025 ·
    Juntao Tan
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  10. SlackAgents: Scalable Collaboration of AI Agents in Workspaces
    EMNLP 2025 ·
    Zhiwei Liu
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  11. Text2Data: Low-Resource Data Generation with Textual Control
    AAAI 2025 ·
    Shiyu Wang
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  12. xLAM: A Family of Large Action Models to Empower AI Agent Systems
    NAACL 2025 ·
    Jianguo Zhang
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  13. APIGen: Automated PIpeline for Generating Verifiable and Diverse Function-Calling Datasets
    NeurIPS 2024 ·
    Zuxin Liu
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  14. HIVE: Harnessing Human Feedback for Instructional Visual Editing
    CVPR 2024 ·
    Shu Zhang
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  15. How Do Transformers Learn In-Context Beyond Simple Functions? A Case Study on Learning with Representations
    ICLR 2024 ·
    Tianyu Guo
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  16. Retroformer: Retrospective Large Language Agents with Policy Gradient Optimization
    ICLR 2024 ·
    Weiran Yao
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  17. Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight
    ICLR 2024 ·
    Jiacheng Guo
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  18. Towards More Robust and Accurate Sequential Recommendation with Cascade-guided Adversarial Training
    SDM 2024 ·
    Juntao Tan
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  19. xGen-VideoSyn-1: High-Fidelity Text-to-Video Synthesis with Compressed Representations
    ECCV 2024 ·
    Can Qin
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