activity
20162025
most citedOn the Emergence of Position Bias in Transformers

1 citations · 2 across the 5 of their papers we have counts for

collaborators

5 papers

cs.LG2025★ 1 cited

On the Emergence of Position Bias in Transformers

Xinyi Wu, Yifei Wang, Stefanie Jegelka +1

Recent studies have revealed various manifestations of position bias in transformer architectures, from the "lost-in-the-middle" phenomenon to attention sinks, yet a comprehensive…

cs.LG2024★ 1 cited

Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs

Michael Scholkemper, Xinyi Wu, Ali Jadbabaie +1

Residual connections and normalization layers have become standard design choices for graph neural networks (GNNs), and were proposed as solutions to the mitigate the oversmoothing…

cs.LG2024

Towards Efficient Disaster Response via Cost-effective Unbiased Class Rate Estimation through Neyman Allocation Stratified Sampling Active Learning

Yanbing Bai, Xinyi Wu, Lai Xu +3

With the rapid development of earth observation technology, we have entered an era of massively available satellite remote-sensing data. However, a large amount of satellite remote…

cs.LG2024

On the Role of Attention Masks and LayerNorm in Transformers

Xinyi Wu, Amir Ajorlou, Yifei Wang +2

Self-attention is the key mechanism of transformers, which are the essential building blocks of modern foundation models. Recent studies have shown that pure self-attention suffers…

cs.AI2016

An Evaluation of Information Sharing Parking Guidance Policies Using a Bayesian Approach

Xinyi Wu, Kartik Balkumar, Qi Luo +2

Real-time parking occupancy information is critical for a parking management system to facilitate drivers to park more efficiently. Recent advances in connected and automated vehic…