4 papers
Injecting Falsehoods: Adversarial Man-in-the-Middle Attacks Undermining Factual Recall in LLMs
Alina Fastowski, Bardh Prenkaj, Yuxiao Li +1
LLMs are now an integral part of information retrieval. As such, their role as question answering chatbots raises significant concerns due to their shown vulnerability to adversari…
Analysis of Variational Sparse Autoencoders
Zachary Baker, Yuxiao Li
Sparse Autoencoders (SAEs) have emerged as a promising approach for interpreting neural network representations by learning sparse, human-interpretable features from dense activati…
CellAgent: An LLM-driven Multi-Agent Framework for Automated Single-cell Data Analysis
Yihang Xiao, Jinyi Liu, Yan Zheng +9
Single-cell RNA sequencing (scRNA-seq) data analysis is crucial for biological research, as it enables the precise characterization of cellular heterogeneity. However, manual manip…
LLM-Powered Explanations: Unraveling Recommendations Through Subgraph Reasoning
Guangsi Shi, Xiaofeng Deng, Linhao Luo +6
Recommender systems are pivotal in enhancing user experiences across various web applications by analyzing the complicated relationships between users and items. Knowledge graphs(K…