Bingsheng Yao
Orcid: 0009-0004-8329-4610
According to our database1,
Bingsheng Yao
authored at least 54 papers
between 2020 and 2025.
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Bibliography
2025
WatchGuardian: Enabling User-Defined Personalized Just-in-Time Intervention on Smartwatch.
CoRR, February, 2025
RECOVER: Designing a Large Language Model-based Remote Patient Monitoring System for Postoperative Gastrointestinal Cancer Care.
CoRR, February, 2025
"It Felt Like I Was Left in the Dark": Exploring Information Needs and Design Opportunities for Family Caregivers of Older Adult Patients in Critical Care Settings.
CoRR, February, 2025
More Modality, More AI: Exploring Design Opportunities of AI-Based Multi-modal Remote Monitoring Technologies for Early Detection of Mental Health Sequelae in Youth Concussion Patients.
CoRR, February, 2025
Zero-shot Large Language Models for Long Clinical Text Summarization with Temporal Reasoning.
CoRR, January, 2025
SepsisCalc: Integrating Clinical Calculators into Early Sepsis Prediction via Dynamic Temporal Graph Construction.
CoRR, January, 2025
User Interaction Patterns and Breakdowns in Conversing with LLM-Powered Voice Assistants.
Int. J. Hum. Comput. Stud., 2025
2024
Talk2Care: An LLM-based Voice Assistant for Communication between Healthcare Providers and Older Adults.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., May, 2024
Mental-LLM: Leveraging Large Language Models for Mental Health Prediction via Online Text Data.
Proc. ACM Interact. Mob. Wearable Ubiquitous Technol., March, 2024
Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Interactive Storytelling and Reading Activities.
Proc. ACM Hum. Comput. Interact., 2024
LLMs are Imperfect, Then What? An Empirical Study on LLM Failures in Software Engineering.
CoRR, 2024
Designing and Evaluating Sampling Strategies for Multiple-Forecast Visualization (MFV).
CoRR, 2024
Vital Insight: Assisting Experts' Sensemaking Process of Multi-modal Personal Tracking Data Using Visualization and LLM.
CoRR, 2024
CardioAI: A Multimodal AI-based System to Support Symptom Monitoring and Risk Detection of Cancer Treatment-Induced Cardiotoxicity.
CoRR, 2024
Exploring Interdisciplinary Team Collaboration in Clinical NLP Projects Through the Lens of Activity Theory.
CoRR, 2024
Human and LLM-Based Voice Assistant Interaction: An Analytical Framework for User Verbal and Nonverbal Behaviors.
CoRR, 2024
Clinical Challenges and AI Opportunities in Decision-Making for Cancer Treatment-Induced Cardiotoxicity.
CoRR, 2024
Sunnie: An Anthropomorphic LLM-Based Conversational Agent for Mental Well-Being Activity Recommendation.
CoRR, 2024
"I Wish There Were an AI": Challenges and AI Potential in Cancer Patient-Provider Communication.
CoRR, 2024
Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Storytelling and Reading Activities.
CoRR, 2024
Who Changed the Destiny of Rural Students, and How?: Unpacking ICT-Mediated Remote Education in Rural China.
CoRR, 2024
More Samples or More Prompts? Exploring Effective Few-Shot In-Context Learning for LLMs with In-Context Sampling.
Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2024, 2024
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing.
Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024
StorySparkQA: Expert-Annotated QA Pairs with Real-World Knowledge for Children's Story-Based Learning.
Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024
Proceedings of the Companion Publication of the 2024 Conference on Computer-Supported Cooperative Work and Social Computing, 2024
Rethinking Human-AI Collaboration in Complex Medical Decision Making: A Case Study in Sepsis Diagnosis.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents.
Proceedings of the CHI Conference on Human Factors in Computing Systems, 2024
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2024
2023
Bergeron: Combating Adversarial Attacks through a Conscience-Based Alignment Framework.
CoRR, 2023
Human Still Wins over LLM: An Empirical Study of Active Learning on Domain-Specific Annotation Tasks.
CoRR, 2023
More Samples or More Prompt Inputs? Exploring Effective In-Context Sampling for LLM Few-Shot Prompt Engineering.
CoRR, 2023
FairytaleCQA: Integrating a Commonsense Knowledge Graph into Children's Storybook Narratives.
CoRR, 2023
'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Science Journalism.
CoRR, 2023
"Mango Mango, How to Let The Lettuce Dry Without A Spinner?": Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner.
CoRR, 2023
LLM-Powered Conversational Voice Assistants: Interaction Patterns, Opportunities, Challenges, and Design Guidelines.
CoRR, 2023
"It's a Fair Game", or Is It? Examining How Users Navigate Disclosure Risks and Benefits When Using LLM-Based Conversational Agents.
CoRR, 2023
Talk2Care: Facilitating Asynchronous Patient-Provider Communication with Large-Language-Model.
CoRR, 2023
Beyond Labels: Empowering Human with Natural Language Explanations through a Novel Active-Learning Architecture.
CoRR, 2023
Beyond Labels: Empowering Human Annotators with Natural Language Explanations through a Novel Active-Learning Architecture.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023
'Don't Get Too Technical with Me': A Discourse Structure-Based Framework for Automatic Science Journalism.
Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023
Are Human Explanations Always Helpful? Towards Objective Evaluation of Human Natural Language Explanations.
Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023
2022
Proceedings of the Thirteenth Language Resources and Evaluation Conference, 2022
StoryBuddy: A Human-AI Collaborative Chatbot for Parent-Child Interactive Storytelling with Flexible Parental Involvement.
Proceedings of the CHI '22: CHI Conference on Human Factors in Computing Systems, New Orleans, LA, USA, 29 April 2022, 2022
It is AI's Turn to Ask Humans a Question: Question-Answer Pair Generation for Children's Story Books.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
Fantastic Questions and Where to Find Them: FairytaleQA - An Authentic Dataset for Narrative Comprehension.
Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022
2021
Narrative Question Answering with Cutting-Edge Open-Domain QA Techniques: A Comprehensive Study.
Trans. Assoc. Comput. Linguistics, 2021
It is AI's Turn to Ask Human a Question: Question and Answer Pair Generation for Children Storybooks in FairytaleQA Dataset.
CoRR, 2021
2020
Trust in AutoML: exploring information needs for establishing trust in automated machine learning systems.
Proceedings of the IUI '20: 25th International Conference on Intelligent User Interfaces, 2020
Proceedings of the First Joint Workshop on Narrative Understanding, Storylines, and Events, 2020