Yang, Longqi

The effects of remote work on collaboration among information workers

Yang, L., Holtz, D., Jaffe, S., Suri, S., Sinha, S., Weston, J., Joyce, C., Shah, N., Sherman, K., Hecht, B., et al. (2021) · Nature Human Behaviour

Work-Family Balance ChallengesTeam Dynamics and Performance

Cited by 789

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies

Shah, C., White, R. W., Andersen, R., Buscher, G., Counts, S., Das, S. S. S., Montazer, A., Manivannan, S., Neville, J., Ni, X., et al. (2023) · arXiv

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 33

Using Large Language Models to Generate, Validate, and Apply User Intent Taxonomies

Shah, C., White, R., Andersen, R., Buscher, G., Counts, S., Das, S., Montazer, A., Manivannan, S., Neville, J., Rangan, N., et al. (2025) · ACM Transactions on the Web

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 33

Log2Intent: Towards Interpretable User Modeling via Recurrent Semantics Memory Unit

Tao, Z., Li, S., Wang, Z., Fang, C., Yang, L., Zhao, H., & Fu, Y. (2019) · Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

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Local Factor Models for Large-Scale Inductive Recommendation

Yang, L., Schnabel, T., Bennett, P. N., & Dumais, S. (2021) · Fifteenth ACM Conference on Recommender Systems

Recommender Systems and TechniquesAdvanced Bandit Algorithms Research

Cited by 6

Conversational User-AI Intervention: A Study on Prompt Rewriting for Improved LLM Response Generation

Sarkar, R., Sarrafzadeh, B., Chandrasekaran, N., Rangan, N., Resnik, P., Yang, L., & Jauhar, S. K. (2025) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 2