Publications

• [EMNLP 2024] “XRec: Large Language Models for Explainable Recommendation”
  Qiyao Ma, Xubin Ren, Chao Huang.
  [Paper][Code][Media]

• “From Faithfulness to Correctness: Generative Reward Models that Think Critically”
  Qiyao Ma, Yunsheng Shi, Hongtao Tian, Chao Wang, Weiming Chang, Ting Yao.
  [paper][code][huggingface]

• “Breaking Information Cocoons: A Hyperbolic Graph-LLM Framework for Exploration and Exploitation in Recommender Systems”
  Qiyao Ma, Menglin Yang, Mingxuan Ju, Tong Zhao, Neil Shah, Rex Ying.
  [Paper] [Code]

• “Learning More with Less: A Dynamic Dual-Level Down-Sampling Framework for Efficient Policy Optimization”
  Chao Wang, Tao Yang, Hongtao Tian, Yunsheng Shi, Qiyao Ma, Xiaotao Liu, Ting Yao, Wenbo Ding.
  [Paper]

• “Low-Rank Adaptation for Foundation Models: A Comprehensive Review”
  Menglin Yang, Jialin Chen, Yifei Zhang, Jiahong Liu, Jiasheng Zhang, Qiyao Ma, Harshit Verma, Qianru Zhang, Min Zhou, Irwin King, Rex Ying.
  [Paper]

• “MobCLIP: Learning General-purpose Geospatial Representation at Scale”
  Ya Wen, Jixuan Cai, Qiyao Ma, Linyan Li, Xinhua Chen, Chris Webster, Yulun Zhou.
  [Paper] [Code]