Jiannan Xiang

I am a second-year PhD student at University of California, San Diego, under the supervision of Prof. Zhiting Hu. Previously, I got my Master's degree from Machine Learning Department at Carnegie Mellon University, and my Bachelor's degree in Electronic Information Engineering from University of Science and Technology of China.

Email: jixiang[at]ucsd.edu

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Publications (* equal contribution)

Pandora: Towards General World Model with Natural Language Actions and Video States
Jiannan Xiang*Guangyi Liu*Yi Gu*,  Qiyue Gao,  Yuting NingYuheng ZhaZeyu FengTianhua TaoShibo HaoYemin ShiZhengzhong LiuEric P. XingZhiting Hu 
Technical Report  
paper  /  website  /  code  

MMToM-QA: Multimodal Theory of Mind Question Answering
Chuanyang JinYutong WuJing CaoJiannan XiangYen-Ling KuoZhiting HuTomer UllmanAntonio TorralbaJoshua B. TenenbaumTianmin Shu 
ACL 2024  
paper  /  code  

Language Models Meet World Models: Embodied Experiences Enhance Language Models
Jiannan Xiang*,  Tianhua Tao*,  Yi GuTianmin ShuZirui WangZichao YangZhiting Hu
NeurIPS 2023  
paper  /  code  

ASDOT: Any-Shot Data-to-Text Generation with Pretrained Language Models
Jiannan XiangZhengzhong Liu,  Yucheng Zhou,  Eric P. XingZhiting Hu 
EMNLP 2022, Findings  
paper  /  code  

Investigating Data Variance in Evaluations of Automatic Machine Translation Metrics
Jiannan XiangHuayang LiYahui LiuLemao LiuGuoping HuangDefu LianShuming Shi 
ACL 2022, Findings  
paper  

Visualizing the Relationship Between Encoded Linguistic Information and Task Performance
Jiannan Xiang*Huayang Li*Defu LianGuoping HuangTaro WatanabeLemao Liu 
ACL 2022, Findings  
paper  

Assessing Dialogue Systems with Distribution Distances
Jiannan Xiang*Yahui Liu*Deng CaiHuayang LiDefu LianLemao Liu 
ACL 2021, Findings  
paper  /  code  

Learning to stop: A Simple yet Effective Approach to Urban Vision-Language Navigation
Jiannan XiangXin Eric WangWilliam Yang Wang 
EMNLP 2020, Findings  
paper  

Not All Actions Are Equal: Learning to Stop in Language-Grounded Urban Navigation
Jiannan XiangXin Eric WangWilliam Yang Wang 
NeurIPS 2019, ViGIL workshop  
paper  

Services

  • Reviewers: NeurIPS 2023, ACL 2023, AAAI 2023, EMNLP 2022, ACL ARR 2022, ACL ARR 2021.




  • Updated at May 2024
    Thanks Jon Barron for this amazing work