Yong Dai

AI Researcher

Yong Dai

AI researcher whose work has consistently centered on model pre-training and post-training, spanning language models, multimodal foundation models, agents, and embodied intelligence. I conducted research at Microsoft and Tencent AI Lab, where I worked on the training and adaptation of foundation models.

Current focus: embodied intelligence and world models — building the foundation brain models and interactive world models that let AI move from the digital world into the physical one.

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Experience

  1. Tencent AI LabResearch Intern and Researcher
  2. Westlake UniversityVisiting Student
  3. Microsoft STCA NLPGResearch Intern
  4. Nuance collaborationProject Leader

News

DateContent
2026🎉 Pelican-Unify 1.0 released, a unified embodied intelligence model for understanding, reasoning, imagination and action
2026🎉 Papers accepted to ACL 2026, ICLR 2026, ICML 2026, EMNLP 2026, and ACM MM 2026
Nov 2025🎉 Pelican-VL 1.0 released, a foundation brain model for embodied intelligence
Sep 2025🎉 Wow: a world omniscient world model through embodied interaction
Feb 2025🎉 Two papers accepted to ACM MM 2025
Sep 2024🎉 Two papers accepted to NeurIPS 2024
Sep 2024🎉 One paper accepted to EMNLP 2024 Findings
Jun 2024🎉 Three papers accepted to ACL 2024
Jun 2023🎉 SkillNet-X accepted to ICASSP 2024
Dec 2022🎉 Federated Learning + PLMs accepted to Findings of ACL 2023
Oct 2022🎉 Prompt-based Constrained Clustering accepted to Findings of EMNLP 2022
Mar 2022🎉 Whole Word Masking accepted to Findings of ACL 2022
Mar 2022🎉 Chinese GPT for Pinyin Input accepted to ACL 2022
Oct 2020🎉 Contextualize KBs with Transformer accepted to EMNLP 2021 (Oral)

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