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.

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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