Yuxuan Lu
Orcid: 0000-0002-8520-0540Affiliations:
- Northeastern University, Boston, MA, USA
- Beijing University of Technology, Beijing, China (former)
According to our database1,
Yuxuan Lu
authored at least 24 papers
between 2021 and 2025.
Collaborative distances:
Collaborative distances:
Timeline
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Bibliography
2025
Multi-Agent-as-Judge: Aligning LLM-Agent-Based Automated Evaluation with Multi-Dimensional Human Evaluation.
CoRR, July, 2025
Shop-R1: Rewarding LLMs to Simulate Human Behavior in Online Shopping via Reinforcement Learning.
CoRR, July, 2025
OPeRA: A Dataset of Observation, Persona, Rationale, and Action for Evaluating LLMs on Human Online Shopping Behavior Simulation.
CoRR, June, 2025
CoRR, April, 2025
CoRR, April, 2025
CoRR, March, 2025
CoRR, February, 2025
RECOVER: Designing a Large Language Model-based Remote Patient Monitoring System for Postoperative Gastrointestinal Cancer Care.
CoRR, February, 2025
Characterizing LLM-Empowered Personalized Story Reading and Interaction for Children: Insights From Multi-Stakeholder Perspectives.
Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems, 2025
Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems, 2025
2024
Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Interactive Storytelling and Reading Activities.
Proc. ACM Hum. Comput. Interact., 2024
Exploring Parent's Needs for Children-Centered AI to Support Preschoolers' Storytelling and Reading Activities.
CoRR, 2024
Proceedings of the 17th ACM International Conference on Web Search and Data Mining, 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
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
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
2023
IEEE ACM Trans. Comput. Biol. Bioinform., 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
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
2022
Contextual embedding and model weighting by fusing domain knowledge on biomedical question answering.
Proceedings of the BCB '22: 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, Northbrook, Illinois, USA, August 7, 2022
2021
Dual Model Weighting Strategy and Data Augmentation in Biomedical Question Answering.
Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021