Zhang, Yang

TALLRec: An Effective and Efficient Tuning Framework to Align Large Language Model with Recommendation

Bao, K., Zhang, J., Zhang, Y., Wang, W., Feng, F., & He, X. (2023) · Proceedings of the 17th ACM Conference on Recommender Systems

Recommender Systems and TechniquesTopic Modeling

Cited by 469

Causal Intervention for Leveraging Popularity Bias in Recommendation

Zhang, Y., Feng, F., He, X., Wei, T., Song, C., Ling, G., & Zhang, Y. (2021) · Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 443

Is ChatGPT Fair for Recommendation? Evaluating Fairness in Large Language Model Recommendation

Zhang, J., Bao, K., Zhang, Y., Wang, W., Feng, F., & He, X. (2023) · arXiv

Ethics and Social Impacts of AIRecommender Systems and Techniques

Cited by 196

CoLLM: Integrating Collaborative Embeddings into Large Language Models for Recommendation

Zhang, Y., Feng, F., Zhang, J., Bao, K., Wang, Q., & He, X. (2023) · arXiv

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 146

Investigating Layer Importance in Large Language Models

Zhang, Y., Dong, Y., & Kawaguchi, K. (2024) · Proceedings of the 7th BlackboxNLP Workshop: Analyzing and Interpreting Neural Networks for NLP

Explainable Artificial Intelligence (XAI)Topic Modeling

Cited by 16