Yucong Luo

According to our database, Yucong Luo authored at least 20 papers between 2023 and 2025.

Collaborative distances:

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

2025

DARTS: A Dual-View Attack Framework for Targeted Manipulation in Federated Sequential Recommendation.

Qitao Qin, Yucong Luo, Zhibo Chu

CoRR, July, 2025

Benchmarking Multimodal LLMs on Recognition and Understanding over Chemical Tables.

Yitong Zhou, Mingyue Cheng, Qingyang Mao, Yucong Luo, Qi Liu, Yupeng Li, Xiaohan Zhang, Deguang Liu, Xin Li, Enhong Chen

CoRR, June, 2025

Time Series Forecasting as Reasoning: A Slow-Thinking Approach with Reinforced LLMs.

Yucong Luo, Yitong Zhou, Mingyue Cheng, Jiahao Wang, Daoyu Wang, Tingyue Pan, Jintao Zhang

CoRR, June, 2025

Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation.

Qitao Qin, Yucong Luo, Yihang Lu, Zhibo Chu, Xianwei Meng

CoRR, April, 2025

A Survey on Knowledge-Oriented Retrieval-Augmented Generation.

Mingyue Cheng, Yucong Luo, Jie Ouyang, Qi Liu, Huijie Liu, Li Li, Shuo Yu, Bohou Zhang, Jiawei Cao, Jie Ma, Daoyu Wang, Enhong Chen

CoRR, March, 2025

HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation.

Jie Ouyang, Tingyue Pan, Mingyue Cheng, Ruiran Yan, Yucong Luo, Jiaying Lin, Qi Liu

CoRR, March, 2025

InstrucTime: Advancing Time Series Classification with Multimodal Language Modeling.

Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo, Enhong Chen

Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining, 2025

GEAR: Generalized Alternating Regressor for Multi-Behavior Sequential Recommendation.

Junzhe Jiang, Kai Zhang, Junfeng Kang, Yucong Luo, Min Gao

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

Towards Adaptive Memory-Based Optimization for Enhanced Retrieval-Augmented Generation.

Qitao Qin, Yucong Luo, Yihang Lu, Zhibo Chu, Xiaoman Liu, Xianwei Meng

Proceedings of the Findings of the Association for Computational Linguistics, 2025

HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation.

Jie Ouyang, Tingyue Pan, Mingyue Cheng, Ruiran Yan, Yucong Luo, Jiaying Lin, Qi Liu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

2024

Molar: Multimodal LLMs with Collaborative Filtering Alignment for Enhanced Sequential Recommendation.

Yucong Luo, Qitao Qin, Hao Zhang, Mingyue Cheng, Ruiran Yan, Kefan Wang, Jie Ouyang

CoRR, 2024

Hierarchical Multimodal LLMs with Semantic Space Alignment for Enhanced Time Series Classification.

Xiaoyu Tao, Tingyue Pan, Mingyue Cheng, Yucong Luo

CoRR, 2024

Revisiting the Solution of Meta KDD Cup 2024: CRAG.

Jie Ouyang, Yucong Luo, Mingyue Cheng, Daoyu Wang, Shuo Yu, Qi Liu, Enhong Chen

CoRR, 2024

Advancing Time Series Classification with Multimodal Language Modeling.

Mingyue Cheng, Yiheng Chen, Qi Liu, Zhiding Liu, Yucong Luo

CoRR, 2024

Generative Pretrained Hierarchical Transformer for Time Series Forecasting.

Zhiding Liu, Jiqian Yang, Mingyue Cheng, Yucong Luo, Zhi Li

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

Learning Recommender Systems with Soft Target: A Decoupled Perspective.

Hao Zhang, Mingyue Cheng, Qi Liu, Yucong Luo, Rui Li, Enhong Chen

Proceedings of the Database Systems for Advanced Applications, 2024

Unlocking the Potential of Large Language Models for Explainable Recommendations.

Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Enhong Chen

Proceedings of the Database Systems for Advanced Applications, 2024

Learning the Dynamics in Sequential Recommendation by Exploiting Real-time Information.

Rujiao Zhang, Hao Zhang, Yucong Luo, Zhiding Liu, Mingyue Cheng, Qi Liu, Enhong Chen

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

2023

Unlocking the Potential of Large Language Models for Explainable Recommendations.

Yucong Luo, Mingyue Cheng, Hao Zhang, Junyu Lu, Qi Liu, Enhong Chen

CoRR, 2023

FormerTime: Hierarchical Multi-Scale Representations for Multivariate Time Series Classification.

Mingyue Cheng, Qi Liu, Zhiding Liu, Zhi Li, Yucong Luo, Enhong Chen

Proceedings of the ACM Web Conference 2023, 2023