most citedLifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation

2 citations · 2 across the 3 of their papers we have counts for

collaborators

3 papers

cs.CL2025

Evolutionary Perspectives on the Evaluation of LLM-Based AI Agents: A Comprehensive Survey

Jiachen Zhu, Menghui Zhu, Renting Rui +9

The advent of large language models (LLMs), such as GPT, Gemini, and DeepSeek, has significantly advanced natural language processing, giving rise to sophisticated chatbots capable…

cs.IR2024★ 2 cited

Lifelong Personalized Low-Rank Adaptation of Large Language Models for Recommendation

Jiachen Zhu, Jianghao Lin, Xinyi Dai +6

We primarily focus on the field of large language models (LLMs) for recommendation, which has been actively explored recently and poses a significant challenge in effectively enhan…

cs.IR2024

Large Language Models Make Sample-Efficient Recommender Systems

Jianghao Lin, Xinyi Dai, Rong Shan +4

Large language models (LLMs) have achieved remarkable progress in the field of natural language processing (NLP), demonstrating remarkable abilities in producing text that resemble…