204 citations · 419 across the 16 of their papers we have counts for
16 papers
From Content Generation to Learning Support: Pedagogy-Guided Generative Video Tutors for STEM Learning
Xinchen Ma, Shuimu Wang, Gaole He +4
Generative AI enables scalable production of educational videos, but current systems largely focus on producing visually coherent content rather than supporting learning. As a resu…
From Control to Foresight: Simulation as a New Paradigm for Human-Agent Collaboration
Gaole He, Brian Y. Lim
Large Language Models (LLMs) are increasingly used to power autonomous agents for complex, multi-step tasks. However, human-agent interaction remains pointwise and reactive: users…
From SERPs to Sound: How Search Engine Result Pages and AI-generated Podcasts Interact to Influence User Attitudes on Controversial Topics
Junjie Wang, Gaole He, Alisa Rieger +1
Compared to search engine result pages (SERPs), AI-generated podcasts represent a relatively new and relatively more passive modality of information consumption, delivering narrati…
Plan-Then-Execute: An Empirical Study of User Trust and Team Performance When Using LLM Agents As A Daily Assistant
Gaole He, Gianluca Demartini, Ujwal Gadiraju
Since the explosion in popularity of ChatGPT, large language models (LLMs) have continued to impact our everyday lives. Equipped with external tools that are designed for a specifi…
Is Conversational XAI All You Need? Human-AI Decision Making With a Conversational XAI Assistant
Gaole He, Nilay Aishwarya, Ujwal Gadiraju
Explainable artificial intelligence (XAI) methods are being proposed to help interpret and understand how AI systems reach specific predictions. Inspired by prior work on conversat…
Fine-Grained Appropriate Reliance: Human-AI Collaboration with a Multi-Step Transparent Decision Workflow for Complex Task Decomposition
Gaole He, Patrick Hemmer, Michael Vössing +2
In recent years, the rapid development of AI systems has brought about the benefits of intelligent services but also concerns about security and reliability. By fostering appropria…
To Err Is AI! Debugging as an Intervention to Facilitate Appropriate Reliance on AI Systems
Gaole He, Abri Bharos, Ujwal Gadiraju
Powerful predictive AI systems have demonstrated great potential in augmenting human decision making. Recent empirical work has argued that the vision for optimal human-AI collabor…
Power-up! What Can Generative Models Do for Human Computation Workflows?
Garrett Allen, Gaole He, Ujwal Gadiraju
We are amidst an explosion of artificial intelligence research, particularly around large language models (LLMs). These models have a range of applications across domains like medi…
Knowing About Knowing: An Illusion of Human Competence Can Hinder Appropriate Reliance on AI Systems
Gaole He, Lucie Kuiper, Ujwal Gadiraju
The dazzling promises of AI systems to augment humans in various tasks hinge on whether humans can appropriately rely on them. Recent research has shown that appropriate reliance i…
Complex Knowledge Base Question Answering: A Survey
Yunshi Lan, Gaole He, Jinhao Jiang +3
Knowledge base question answering (KBQA) aims to answer a question over a knowledge base (KB). Early studies mainly focused on answering simple questions over KBs and achieved grea…
A Survey on Complex Knowledge Base Question Answering: Methods, Challenges and Solutions
Yunshi Lan, Gaole He, Jinhao Jiang +3
Knowledge base question answering (KBQA) aims to answer a question over a knowledge base (KB). Recently, a large number of studies focus on semantically or syntactically complicate…
Improving Multi-hop Knowledge Base Question Answering by Learning Intermediate Supervision Signals
Gaole He, Yunshi Lan, Jing Jiang +2
Multi-hop Knowledge Base Question Answering (KBQA) aims to find the answer entities that are multiple hops away in the Knowledge Base (KB) from the entities in the question. A majo…
TextBox: A Unified, Modularized, and Extensible Framework for Text Generation
Junyi Li, Tianyi Tang, Gaole He +7
In this paper, we release an open-source library, called TextBox, to provide a unified, modularized, and extensible text generation framework. TextBox aims to support a broad set o…
Knowledge-Enhanced Personalized Review Generation with Capsule Graph Neural Network
Junyi Li, Siqing Li, Wayne Xin Zhao +4
Personalized review generation (PRG) aims to automatically produce review text reflecting user preference, which is a challenging natural language generation task. Most of previous…
Mining Implicit Entity Preference from User-Item Interaction Data for Knowledge Graph Completion via Adversarial Learning
Gaole He, Junyi Li, Wayne Xin Zhao +2
The task of Knowledge Graph Completion (KGC) aims to automatically infer the missing fact information in Knowledge Graph (KG). In this paper, we take a new perspective that aims to…
KB4Rec: A Dataset for Linking Knowledge Bases with Recommender Systems
Wayne Xin Zhao, Gaole He, Hongjian Dou +3
To develop a knowledge-aware recommender system, a key data problem is how we can obtain rich and structured knowledge information for recommender system (RS) items. Existing datas…