Publications

You can also find my articles on my Google Scholar.

-> * indicates equal contribution

2024

• Opening the Analogical Portal to Explainability: Can Analogies Help Laypeople in AI-assisted Decision Making?
  • Gaole He, Agathe Balayn, Stefan Buijsman, Jie Yang, Ujwal Gadiraju. JAIR 2024.
  • [paper]
• To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems.
  • Gaole He, Abri Bharos, Ujwal Gadiraju. Hypertext 2024 (Late break).
  • [paper], [slides]
• Dealing with Uncertainty: Understanding the Impact of Prognostic Versus Diagnostic Tasks on Trust and Reliance in Human-AI Decision-Making.
  • Sara Salimzadeh, Gaole He, Ujwal Gadiraju. CHI 2024.
  • [paper], [video], [code]

2023

• A Missing Piece in the Puzzle: Considering the Role of Task Complexity in Human-AI Decision Making.
  • Sara Salimzadeh, Gaole He, Ujwal Gadiraju. UMAP 2023.
  • [paper]
• How Stated Accuracy of an AI System and Analogies to Explain Accuracy Affect Human Reliance on the System.
  • Gaole He*, Stefan Buijsman*, Ujwal Gadiraju. To appear at CSCW 2023.
  • [paper], [code], [blog], [slides]
• Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems.
  • Gaole He, Lucie Kuiper, Ujwal Gadiraju. CHI 2023.
  • [paper], [code], [video], [slides]

2022

• It Is Like Finding a Polar Bear in the Savannah! Concept-level AI Explanations with Analogical Inference from Commonsense Knowledge.
  • Gaole He, Agathe Balayn, Stefan Buijsman, Jie Yang, Ujwal Gadiraju. HCOMP 2022 (10th AAAI Conference on Human Computation and Crowdsourcing).
  • [paper], [code], [slides], [video], [blog]
  • Best Paper Award.
• Walking on Eggshells: Using Analogies to Promote Appropriate Reliance in Human-AI Decision Making.
  • Gaole He, Ujwal Gadiraju. CHI TRAIT workshop 2022, short perspective paper.
  • [paper]
• Ready Player One! Eliciting Diverse Knowledge Using A Configurable Game.
  • Agathe Balayn*, Gaole He*, Andrea Hu*, Jie Yang, Ujwal Gadiraju. WWW 2022.
  • [paper], [code], [slides]
  • Best Paper Candidate, honorable nomination.
• Complex Knowledge Base Question Answering: A Survey.
  • Yunshi Lan*, Gaole He*, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen. Survey paper. TKDE journal
  • [paper], [repo]

2021

• FindItOut: A Multiplayer GWAP for Collecting Plural Knowledge.
  • Agathe Balayn*, Gaole He*, Andrea Hu*, Jie Yang, Ujwal Gadiraju. HCOMP 2021 Demo.
  • Winners of the Toloka Best Poster/Demo award.
  • [paper], [code], [slides]
• A Pretraining Numerical Reasoning Model for Ordinal Constrained Question Answering on Knowledge Base.
  • Yu Feng, Jing Zhang, Gaole He, Wayne Xin Zhao, Lemao Liu, Quan Liu, Cuiping Li, Hong Chen. Findings of EMNLP 2021.
  • [paper], [code]
• TextBox: A Unified, Modularized, and Extensible Framework for Text Generation.
  • Junyi Li, Tianyi Tang, Gaole He, Jinhao Jiang, Xiaoxuan Hu, Puzhao Xie, Zhipeng Chen, Zhuohao Yu, Wayne Xin Zhao, Ji-Rong Wen. ACL 2021 demo.
  • [paper], [project]
• A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions.
  • Yunshi Lan*, Gaole He*, Jinhao Jiang, Jing Jiang, Wayne Xin Zhao, Ji-Rong Wen. IJCAI 2021 Survey.
  • [paper]
• Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals.
  • Gaole He, Yunshi Lan, Jing Jiang, Wayne Xin Zhao and Ji-Rong Wen. WSDM 2021.
  • [paper], [code], [slides], [poster], [video].

2020

• Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning.
  • Gaole He, Junyi Li, Wayne Xin Zhao, Peiju Liu and Ji-Rong Wen. WWW 2020.
  • [paper], [code], [video], [slides]
• Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network.
  • Junyi Li, Siqing Li, Wayne Xin Zhao, Gaole He, Zhicheng Wei, Nicholas Jing Yuan, Ji-Rong Wen. CIKM 2020.
  • [paper], [code]

2019

• KB4Rec: A Data Set for Linking Knowledge Bases with Recommender Systems.
  • Wayne Xin Zhao, Gaole He, Kunlin Yang, Hong-Jian Dou, Jin Huang,Siqi Ouyang and Ji-Rong Wen. Data Intelligence 2019.
  • [paper], [data & code]
• Taxonomy-Aware Multi-Hop Reasoning Networks for Sequential Recommendation.
  • Jin Huang, Zhaochun Ren, Wayne Xin Zhao, Gaole He, Ji-Rong Wen and Daxiang Dong. WSDM 2019.
  • [paper], [data & code]