4 citations · 5 across the 7 of their papers we have counts for
7 papers
RAIE: Region-Aware Incremental Preference Editing with LoRA for LLM-based Recommendation
Jin Zeng, Yupeng Qi, Hui Li +4
Large language models (LLMs) are increasingly adopted as the backbone of recommender systems. However, user-item interactions in real-world scenarios are non-stationary, making pre…
MidPO: Dual Preference Optimization for Safety and Helpfulness in Large Language Models via a Mixture of Experts Framework
Yupeng Qi, Ziyu Lyu, Min Yang +3
As large language models (LLMs) are increasingly applied across various domains, enhancing safety while maintaining the helpfulness of LLMs has become a critical challenge. Recent…
You Augment Me: Exploring ChatGPT-based Data Augmentation for Semantic Code Search
Yanlin Wang, Lianghong Guo, Ensheng Shi +8
Code search plays a crucial role in software development, enabling developers to retrieve and reuse code using natural language queries. While the performance of code search models…
Knowledge Probing for Graph Representation Learning
Mingyu Zhao, Xingyu Huang, Ziyu Lyu +3
Graph learning methods have been extensively applied in diverse application areas. However, what kind of inherent graph properties e.g. graph proximity, graph structural informatio…
SSHPool: The Separated Subgraph-based Hierarchical Pooling
Zhuo Xu, Lixin Cui, Ming Li +6
In this paper, we develop a novel local graph pooling method, namely the Separated Subgraph-based Hierarchical Pooling (SSHPool), for graph classification. We commence by assigning…
TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series Forecasting
Yuxiao Luo, Ziyu Lyu, Xingyu Huang
Long-term time series forecasting is a vital task and has a wide range of real applications. Recent methods focus on capturing the underlying patterns from one single domain (e.g.…