Weijia Xu

Senior Researcher

Twitter

出版物

表示方法:

- Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs
  
  Weijia Xu, Nebojsa Jojic, Sudha Rao, Chris Brockett, Bill Dolan
  
  Proceedings of the National Academy of Sciences of the United States of America | August 2025
  
  Publication
- Learning to Solve Complex Problems via Dataset Decomposition
  
  Wanru Zhao, Lucas Caccia, Zhengyan Shi, Minseon Kim, Xingdi Yuan, Weijia Xu, Marc-Alexandre Côté, Alessandro Sordoni
  
  NeurIPS 2025 | July 2025
  
  Publication
- fLSA: Learning Semantic Structures in Document Collections Using Foundation Models
  
  Weijia Xu, Nebojsa Jojic, Nicolas Le Roux
  
  October 2024
  
  Publication Github
- GENEVA: GENErating and Visualizing branching narratives using LLMs
  
  Jorge J. G. Leandro (jorgeleandro), Sudha Rao, Michael Xu, Weijia Xu, Nebojsa Jojic, Chris Brockett, Bill Dolan
  
  IEEE Conference on Games 2024 | August 2024
  
  Publication プロジェクト
- Player-Driven Emergence in LLM-Driven Game Narrative
  
  Xiangyu Peng, Jessica Quaye, Sudha Rao, Weijia Xu, Portia Botchway, Chris Brockett, Nebojsa Jojic, Gabriel DesGarennes, Ken Lobb, Michael Xu, Jorge J. G. Leandro, Claire Jin, Bill Dolan
  
  IEEE Conference on Games 2024 | August 2024
  
  Publication プロジェクト
- Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraft
  
  Sudha Rao, Weijia Xu, Michael Xu, Jorge J. G. Leandro, Ken Lobb, Gabriel DesGarennes, Chris Brockett, Bill Dolan
  
  2024 Meeting of the Association for Computational Linguistics | August 2024
  
  Publication Publication 動画動画動画動画動画動画動画動画動画動画プロジェクト
- Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
  
  Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic
  
  ICML 2024 | May 2023
  
  DOI Publication PDF Github

- Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs
  
  Weijia Xu, Nebojsa Jojic, Sudha Rao, Chris Brockett, Bill Dolan
  
  Proceedings of the National Academy of Sciences of the United States of America | August 2025
  
  Publication
- Learning to Solve Complex Problems via Dataset Decomposition
  
  Wanru Zhao, Lucas Caccia, Zhengyan Shi, Minseon Kim, Xingdi Yuan, Weijia Xu, Marc-Alexandre Côté, Alessandro Sordoni
  
  NeurIPS 2025 | July 2025
  
  Publication
- fLSA: Learning Semantic Structures in Document Collections Using Foundation Models
  
  Weijia Xu, Nebojsa Jojic, Nicolas Le Roux
  
  October 2024
  
  Publication Github
- Player-Driven Emergence in LLM-Driven Game Narrative
  
  Xiangyu Peng, Jessica Quaye, Sudha Rao, Weijia Xu, Portia Botchway, Chris Brockett, Nebojsa Jojic, Gabriel DesGarennes, Ken Lobb, Michael Xu, Jorge J. G. Leandro, Claire Jin, Bill Dolan
  
  IEEE Conference on Games 2024 | August 2024
  
  Publication プロジェクト
- Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraft
  
  Sudha Rao, Weijia Xu, Michael Xu, Jorge J. G. Leandro, Ken Lobb, Gabriel DesGarennes, Chris Brockett, Bill Dolan
  
  2024 Meeting of the Association for Computational Linguistics | August 2024
  
  Publication Publication 動画動画動画動画動画動画動画動画動画動画プロジェクト
- Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
  
  Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic
  
  ICML 2024 | May 2023
  
  DOI Publication PDF Github
- Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs
  
  Weijia Xu, Nebojsa Jojic, Sudha Rao, Chris Brockett, Bill Dolan
  
  Proceedings of the National Academy of Sciences of the United States of America | August 2025
  
  Publication
- Player-Driven Emergence in LLM-Driven Game Narrative
  
  Xiangyu Peng, Jessica Quaye, Sudha Rao, Weijia Xu, Portia Botchway, Chris Brockett, Nebojsa Jojic, Gabriel DesGarennes, Ken Lobb, Michael Xu, Jorge J. G. Leandro, Claire Jin, Bill Dolan
  
  IEEE Conference on Games 2024 | August 2024
  
  Publication プロジェクト
- GENEVA: GENErating and Visualizing branching narratives using LLMs
  
  Jorge J. G. Leandro (jorgeleandro), Sudha Rao, Michael Xu, Weijia Xu, Nebojsa Jojic, Chris Brockett, Bill Dolan
  
  IEEE Conference on Games 2024 | August 2024
  
  Publication プロジェクト
- Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraft
  
  Sudha Rao, Weijia Xu, Michael Xu, Jorge J. G. Leandro, Ken Lobb, Gabriel DesGarennes, Chris Brockett, Bill Dolan
  
  2024 Meeting of the Association for Computational Linguistics | August 2024
  
  Publication Publication 動画動画動画動画動画動画動画動画動画動画プロジェクト
- Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
  
  Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic
  
  ICML 2024 | May 2023
  
  DOI Publication PDF Github

- Learning to Solve Complex Problems via Dataset Decomposition
  
  Wanru Zhao, Lucas Caccia, Zhengyan Shi, Minseon Kim, Xingdi Yuan, Weijia Xu, Marc-Alexandre Côté, Alessandro Sordoni
  
  NeurIPS 2025 | July 2025
  
  Publication
- Player-Driven Emergence in LLM-Driven Game Narrative
  
  Xiangyu Peng, Jessica Quaye, Sudha Rao, Weijia Xu, Portia Botchway, Chris Brockett, Nebojsa Jojic, Gabriel DesGarennes, Ken Lobb, Michael Xu, Jorge J. G. Leandro, Claire Jin, Bill Dolan
  
  IEEE Conference on Games 2024 | August 2024
  
  Publication プロジェクト
- GENEVA: GENErating and Visualizing branching narratives using LLMs
  
  Jorge J. G. Leandro (jorgeleandro), Sudha Rao, Michael Xu, Weijia Xu, Nebojsa Jojic, Chris Brockett, Bill Dolan
  
  IEEE Conference on Games 2024 | August 2024
  
  Publication プロジェクト
- Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraft
  
  Sudha Rao, Weijia Xu, Michael Xu, Jorge J. G. Leandro, Ken Lobb, Gabriel DesGarennes, Chris Brockett, Bill Dolan
  
  2024 Meeting of the Association for Computational Linguistics | August 2024
  
  Publication Publication 動画動画動画動画動画動画動画動画動画動画プロジェクト
- Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling
  
  Weijia Xu, Andrzej Banburski-Fahey, Nebojsa Jojic
  
  ICML 2024 | May 2023
  
  DOI Publication PDF Github
- Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs
  
  Weijia Xu, Nebojsa Jojic, Sudha Rao, Chris Brockett, Bill Dolan
  
  Proceedings of the National Academy of Sciences of the United States of America | August 2025
  
  Publication
- fLSA: Learning Semantic Structures in Document Collections Using Foundation Models
  
  Weijia Xu, Nebojsa Jojic, Nicolas Le Roux
  
  October 2024
  
  Publication Github

Weijia Xu

出版物

Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs

Learning to Solve Complex Problems via Dataset Decomposition

fLSA: Learning Semantic Structures in Document Collections Using Foundation Models

GENEVA: GENErating and Visualizing branching narratives using LLMs

Player-Driven Emergence in LLM-Driven Game Narrative

Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraft

Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs

Learning to Solve Complex Problems via Dataset Decomposition

fLSA: Learning Semantic Structures in Document Collections Using Foundation Models

Player-Driven Emergence in LLM-Driven Game Narrative

Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraft

Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs

Player-Driven Emergence in LLM-Driven Game Narrative

GENEVA: GENErating and Visualizing branching narratives using LLMs

Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraft

Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

Learning to Solve Complex Problems via Dataset Decomposition

Player-Driven Emergence in LLM-Driven Game Narrative

GENEVA: GENErating and Visualizing branching narratives using LLMs

Collaborative Quest Completion with LLM-driven Non-Player Characters in Minecraft

Reprompting: Automated Chain-of-Thought Prompt Inference Through Gibbs Sampling

Echoes in AI: Quantifying Lack of Plot Diversity in LLM Outputs

fLSA: Learning Semantic Structures in Document Collections Using Foundation Models

お問い合わせ Weijia Xu

Microsoft Research Lab – Redmond