44 citations · 54 across the 7 of their papers we have counts for
7 papers
MrM: Black-Box Membership Inference Attacks against Multimodal RAG Systems
Peiru Yang, Jinhua Yin, Haoran Zheng +7
Multimodal retrieval-augmented generation (RAG) systems enhance large vision-language models by integrating cross-modal knowledge, enabling their increasing adoption across real-wo…
Causal Graph based Event Reasoning using Semantic Relation Experts
Mahnaz Koupaee, Xueying Bai, Mudan Chen +3
Understanding how events in a scenario causally connect with each other is important for effectively modeling and reasoning about events. But event reasoning remains a difficult ch…
Does RoBERTa Perform Better than BERT in Continual Learning: An Attention Sink Perspective
Xueying Bai, Yifan Sun, Niranjan Balasubramanian
Continual learning (CL) aims to train models that can sequentially learn new tasks without forgetting previous tasks' knowledge. Although previous works observed that pre-training…
Continual Learning with Global Alignment
Xueying Bai, Jinghuan Shang, Yifan Sun +1
Continual learning aims to sequentially learn new tasks without forgetting previous tasks' knowledge (catastrophic forgetting). One factor that can cause forgetting is the interfer…
Model-Based Reinforcement Learning with Adversarial Training for Online Recommendation
Xueying Bai, Jian Guan, Hongning Wang
Reinforcement learning is well suited for optimizing policies of recommender systems. Current solutions mostly focus on model-free approaches, which require frequent interactions w…
Learning Robust, Transferable Sentence Representations for Text Classification
Wasi Uddin Ahmad, Xueying Bai, Nanyun Peng +1
Despite deep recurrent neural networks (RNNs) demonstrate strong performance in text classification, training RNN models are often expensive and requires an extensive collection of…
Multi-task Learning for Universal Sentence Embeddings: A Thorough Evaluation using Transfer and Auxiliary Tasks
Wasi Uddin Ahmad, Xueying Bai, Zhechao Huang +3
Learning distributed sentence representations is one of the key challenges in natural language processing. Previous work demonstrated that a recurrent neural network (RNNs) based s…