Changle Qu

According to our database, Changle Qu authored at least 8 papers between 2024 and 2025.

Collaborative distances:

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

2025

Tool learning with large language models: a survey.

Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen

Frontiers Comput. Sci., August, 2025

KuaiLive: A Real-time Interactive Dataset for Live Streaming Recommendation.

Changle Qu, Sunhao Dai, Ke Guo, Liqin Zhao, Yanan Niu, Xiao Zhang, Jun Xu

CoRR, August, 2025

Towards AI Search Paradigm.

Yuchen Li, Hengyi Cai, Rui Kong, Xinran Chen, Jiamin Chen, Jun Yang, Haojie Zhang, Jiayi Li, Jiayi Wu, Yiqun Chen, Changle Qu, Keyi Kong, Wenwen Ye, Lixin Su, Xinyu Ma, Long Xia, Daiting Shi, Jiashu Zhao, Haoyi Xiong, Shuaiqiang Wang, Dawei Yin

CoRR, June, 2025

Bridging Short Videos and Streamers with Multi-Graph Contrastive Learning for Live Streaming Recommendation.

Changle Qu, Liqin Zhao, Yanan Niu, Xiao Zhang, Jun Xu

Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, 2025

From Exploration to Mastery: Enabling LLMs to Master Tools via Self-Driven Interactions.

Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

COLT: Towards Completeness-Oriented Tool Retrieval for Large Language Models.

Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen

CoRR, 2024

ReCODE: Modeling Repeat Consumption with Neural ODE.

Sunhao Dai, Changle Qu, Sirui Chen, Xiao Zhang, Jun Xu

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

Towards Completeness-Oriented Tool Retrieval for Large Language Models.

Changle Qu, Sunhao Dai, Xiaochi Wei, Hengyi Cai, Shuaiqiang Wang, Dawei Yin, Jun Xu, Ji-Rong Wen

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