activity
20222026
most citedMultimodal foundation models are better simulators of the human brain

11 citations · 12 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CL2026

A Task-State Representation for Long-Horizon Mobile GUI Agents

Yujie Zheng, Zikang Liu, Xin Zhao +1

While long-horizon mobile GUI agents typically rely on thought-action-observation loops, they struggle to separate persistent task states from transient screen observations. As exe…

cs.CL2024

Not Everything is All You Need: Toward Low-Redundant Optimization for Large Language Model Alignment

Zhipeng Chen, Kun Zhou, Wayne Xin Zhao +2

Large language models (LLMs) are still struggling in aligning with human preference in complex tasks and scenarios. They are prone to overfit into the unexpected patterns or superf…

cs.IR2024

EulerFormer: Sequential User Behavior Modeling with Complex Vector Attention

Zhen Tian, Wayne Xin Zhao, Changwang Zhang +3

To capture user preference, transformer models have been widely applied to model sequential user behavior data. The core of transformer architecture lies in the self-attention mech…

cs.IR2023★ 1 cited

UFIN: Universal Feature Interaction Network for Multi-Domain Click-Through Rate Prediction

Zhen Tian, Changwang Zhang, Wayne Xin Zhao +3

Click-Through Rate (CTR) prediction, which aims to estimate the probability of a user clicking on an item, is a key task in online advertising. Numerous existing CTR models concent…

cs.NE2022★ 11 cited

Multimodal foundation models are better simulators of the human brain

Haoyu Lu, Qiongyi Zhou, Nanyi Fei +8

Multimodal learning, especially large-scale multimodal pre-training, has developed rapidly over the past few years and led to the greatest advances in artificial intelligence (AI).…