Xingyu Bruce Liu

schoolUniversity of California Los Angelesbar_chart#2252 Global Rank

Total Papers

HCI Rank

#2252

Research Areas

Years Active

Recent Publications

Behavioral Indicators of Overreliance During Interaction with Conversational Language Models

LLMs are now embedded in a wide range of everyday scenarios. However, their inherent hallucinations risk hiding misinformation in fluent responses, raising concerns about overreliance on AI. Detecting overreliance is challenging, as it often arises in complex, dynamic contexts and cannot be easily captured by post-hoc…

CHI '251st AuthorConversational Chatbots +2

Proactive Conversational Agents with Inner Thoughts

One of the long-standing aspirations in conversational AI is to allow them to autonomously take initiatives in conversations, i.e. being proactive. This is especially challenging for multi-party conversations. Prior NLP research focused mainly on predicting the next speaker from contexts like preceding conversations.…

CHI '235th+ AuthorHonorable MentionHuman-LLM Collaboration +1

Rapsai: Accelerating Machine Learning Prototyping of Multimedia Applications through Visual Programming

In recent years, there has been a proliferation of multimedia applications that leverage machine learning (ML) for interactive experiences. Prototyping ML-based applications is, however, still challenging, given complex workflows that are not ideal for design and experimentation. To better understand these challenges,…

CHI '231st AuthorVoice User Interface (VUI) Design +1

Visual Captions: Augmenting Verbal Communication with On-the-fly Visuals

Video conferencing solutions like Zoom, Google Meet, and Microsoft Teams are becoming increasingly popular for facilitating conversations, and recent advancements such as live captioning help people better understand each other. We believe that the addition of visuals based on the context of conversations could furthe…

UIST '221st AuthorBest PaperVisual Impairment Technologies (Screen Readers, Tactile Graphics, Braille) +2

CrossA11y: Identifying Video Accessibility Issues via Cross-modal Grounding

Authors make their videos visually accessible by adding audio descriptions (AD), and auditorily accessible by adding closed captions (CC). However, creating AD and CC is challenging and tedious, especially for non-professional describers and captioners, due to the difficulty of identifying accessibility problems in…

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