Yongqi Li

Publication Activity (10 Years)

Years Active: 2023-2024
Publications (10 Years): 21

Top Topics

Robust Optimization

Image Generation

Top Venues

Publications

Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, Tat-Seng Chua
A Survey of Generative Search and Recommendation in the Era of Large Language Models. CoRR (2024)
Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li
Learning to Rank in Generative Retrieval. AAAI (2024)
Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua
Temporally and Distributionally Robust Optimization for Cold-Start Recommendation. AAAI (2024)
Wenjie Wang, Honghui Bao, Xilin Chen, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
Learnable Tokenizer for LLM-based Generative Recommendation. CoRR (2024)
Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. CoRR (2024)
Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua
Data-efficient Fine-tuning for LLM-based Recommendation. SIGIR (2024)
Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua
Discriminative Probing and Tuning for Text-to-Image Generation. CoRR (2024)
Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li, Liqiang Nie, Tat-Seng Chua
Unified Text-to-Image Generation and Retrieval. CoRR (2024)
Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua
Data-efficient Fine-tuning for LLM-based Recommendation. CoRR (2024)
Yongqi Li, Wenjie Wang, Leigang Qu, Liqiang Nie, Wenjie Li, Tat-Seng Chua
Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond. ACL (1) (2024)
Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation. KDD (2024)
Yongqi Li, Wenjie Wang, Leigang Qu, Liqiang Nie, Wenjie Li, Tat-Seng Chua
Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond. CoRR (2024)
Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua
Distillation Enhanced Generative Retrieval. ACL (Findings) (2024)
Yongqi Li, Hongru Cai, Wenjie Wang, Leigang Qu, Yinwei Wei, Wenjie Li, Liqiang Nie, Tat-Seng Chua
Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation. CoRR (2024)
Qiancheng Xu, Yongqi Li, Heming Xia, Wenjie Li
Enhancing Tool Retrieval with Iterative Feedback from Large Language Models. CoRR (2024)
Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui
Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding. ACL (Findings) (2024)
Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua
A Multi-facet Paradigm to Bridge Large Language Model and Recommendation. CoRR (2023)
Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li
Generative retrieval for conversational question answering. Inf. Process. Manag. 60 (5) (2023)
Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li
Learning to Rank in Generative Retrieval. CoRR (2023)
Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li
Multiview Identifiers Enhanced Generative Retrieval. ACL (1) (2023)
Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua
Temporally and Distributionally Robust Optimization for Cold-start Recommendation. CoRR (2023)