Yongqi Li

According to our database, Yongqi Li authored at least 31 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Personalized Large Language Model Assistant with Evolving Conditional Memory.

Ruifeng Yuan, Shichao Sun, Yongqi Li, Zili Wang, Ziqiang Cao, Wenjie Li

Proceedings of the 31st International Conference on Computational Linguistics, 2025

2024

Interleaved-Modal Chain-of-Thought.

Jun Gao, Yongqi Li, Ziqiang Cao, Wenjie Li

CoRR, 2024

Large Language Models Empowered Personalized Web Agents.

Hongru Cai, Yongqi Li, Wenjie Wang, Fengbin Zhu, Xiaoyu Shen, Wenjie Li, Tat-Seng Chua

CoRR, 2024

SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration.

Heming Xia, Yongqi Li, Jun Zhang, Cunxiao Du, Wenjie Li

CoRR, 2024

Efficient Inference for Large Language Model-based Generative Recommendation.

Xinyu Lin, Chaoqun Yang, Wenjie Wang, Yongqi Li, Cunxiao Du, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

CoRR, 2024

Revolutionizing Text-to-Image Retrieval as Autoregressive Token-to-Voken Generation.

Yongqi Li, Hongru Cai, Wenjie Wang, Leigang Qu, Yinwei Wei, Wenjie Li, Liqiang Nie, Tat-Seng Chua

CoRR, 2024

Unified Text-to-Image Generation and Retrieval.

Leigang Qu, Haochuan Li, Tan Wang, Wenjie Wang, Yongqi Li, Liqiang Nie, Tat-Seng Chua

CoRR, 2024

Learnable Tokenizer for LLM-based Generative Recommendation.

Wenjie Wang, Honghui Bao, Xilin Chen, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

CoRR, 2024

A Survey of Generative Search and Recommendation in the Era of Large Language Models.

Yongqi Li, Xinyu Lin, Wenjie Wang, Fuli Feng, Liang Pang, Wenjie Li, Liqiang Nie, Xiangnan He, Tat-Seng Chua

CoRR, 2024

Data-efficient Fine-tuning for LLM-based Recommendation.

Xinyu Lin, Wenjie Wang, Yongqi Li, Shuo Yang, Fuli Feng, Yinwei Wei, Tat-Seng Chua

Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2024

Bridging Items and Language: A Transition Paradigm for Large Language Model-Based Recommendation.

Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

GliDe with a CaPE: A Low-Hassle Method to Accelerate Speculative Decoding.

Cunxiao Du, Jing Jiang, Yuanchen Xu, Jiawei Wu, Sicheng Yu, Yongqi Li, Shenggui Li, Kai Xu, Liqiang Nie, Zhaopeng Tu, Yang You

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Enhancing Tool Retrieval with Iterative Feedback from Large Language Models.

Qiancheng Xu, Yongqi Li, Heming Xia, Wenjie Li

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Discriminative Probing and Tuning for Text-to-Image Generation.

Leigang Qu, Wenjie Wang, Yongqi Li, Hanwang Zhang, Liqiang Nie, Tat-Seng Chua

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Learnable Item Tokenization for Generative Recommendation.

Wenjie Wang, Honghui Bao, Xinyu Lin, Jizhi Zhang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

Unlocking Efficiency in Large Language Model Inference: A Comprehensive Survey of Speculative Decoding.

Heming Xia, Zhe Yang, Qingxiu Dong, Peiyi Wang, Yongqi Li, Tao Ge, Tianyu Liu, Wenjie Li, Zhifang Sui

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Distillation Enhanced Generative Retrieval.

Yongqi Li, Zhen Zhang, Wenjie Wang, Liqiang Nie, Wenjie Li, Tat-Seng Chua

Proceedings of the Findings of the Association for Computational Linguistics, 2024

Generative Cross-Modal Retrieval: Memorizing Images in Multimodal Language Models for Retrieval and Beyond.

Yongqi Li, Wenjie Wang, Leigang Qu, Liqiang Nie, Wenjie Li, Tat-Seng Chua

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

Temporally and Distributionally Robust Optimization for Cold-Start Recommendation.

Xinyu Lin, Wenjie Wang, Jujia Zhao, Yongqi Li, Fuli Feng, Tat-Seng Chua

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

Learning to Rank in Generative Retrieval.

Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Generative retrieval for conversational question answering.

Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li

Inf. Process. Manag., September, 2023

A Multi-facet Paradigm to Bridge Large Language Model and Recommendation.

Xinyu Lin, Wenjie Wang, Yongqi Li, Fuli Feng, See-Kiong Ng, Tat-Seng Chua

CoRR, 2023

Multiview Identifiers Enhanced Generative Retrieval.

Yongqi Li, Nan Yang, Liang Wang, Furu Wei, Wenjie Li

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Dynamic Graph Reasoning for Conversational Open-Domain Question Answering.

Yongqi Li, Wenjie Li, Liqiang Nie

ACM Trans. Inf. Syst., 2022

MMCoQA: Conversational Question Answering over Text, Tables, and Images.

Yongqi Li, Wenjie Li, Liqiang Nie

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

Multi-resolution Representation for Streaming Time Series Retrieval.

Wei Luo, Yongqi Li, Fubin Yao, Shaokun Wang, Zhen Li, Peng Zhan, Xueqing Li

Int. J. Pattern Recognit. Artif. Intell., 2021

Data Distillation for Text Classification.

Yongqi Li, Wenjie Li

CoRR, 2021

A Graph-guided Multi-round Retrieval Method for Conversational Open-domain Question Answering.

Yongqi Li, Wenjie Li, Liqiang Nie

CoRR, 2021

Incremental Knowledge Based Question Answering.

Yongqi Li, Wenjie Li, Liqiang Nie

CoRR, 2021

2020

Large-Scale Question Tagging via Joint Question-Topic Embedding Learning.

Liqiang Nie, Yongqi Li, Fuli Feng, Xuemeng Song, Meng Wang, Yinglong Wang

ACM Trans. Inf. Syst., 2020

2019

Routing Micro-videos via A Temporal Graph-guided Recommendation System.

Yongqi Li, Meng Liu, Jianhua Yin, Chaoran Cui, Xin-Shun Xu, Liqiang Nie

Proceedings of the 27th ACM International Conference on Multimedia, 2019