Yunyao Li

schoolAdobebar_chart#3627 Global Rank

Total Papers

HCI Rank

#3627

Research Areas

Years Active

Recent Publications

Feedback by Design: Understanding and Overcoming User Feedback Barriers in Conversational Agents

High-quality feedback is essential for effective human–AI interaction. It bridges knowledge gaps, corrects digressions, and shapes system behavior; both during interaction and throughout model development. Yet despite its importance, human feedback to AI is often infrequent and low quality. This gap motivates a critic…

IUI '25CorrespondingHuman-LLM Collaboration +1

Text-to-SQL Domain Adaptation via Human-LLM Collaborative Data Annotation

Text-to-SQL models, which parse natural language (NL) questions to executable SQL queries, are increasingly adopted in real-world applications. However, deploying such models in the real world often requires adapting them to the highly specialized database schemas used in specific applications. We observe that the per…

IUI '255th+ AuthorHuman-LLM Collaboration +2

CoPrompter: User-Centric Evaluation of LM Instruction Alignment for Improved Prompt Engineering

Ensuring large language models' (LLMs) responses align with prompt instructions is crucial for application development. Based on our formative study with industry professionals, the alignment requires heavy human involvement and tedious trial-and-error especially when there are many instructions in the prompt. To addr…

DIS '21CorrespondingExplainable AI (XAI) +1

Who needs to know what, when?: Broadening the Explainable AI (XAI) Design Space by Looking at Explanations Across the AI Lifecycle

The interpretability or explainability of AI systems (XAI) has been a topic gaining renewed attention in recent years across AI and HCI communities. Recent work has drawn attention to the emergent explainability requirements of in situ, applied projects, yet further exploratory work is needed to more fully understand…

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