From the 1 of 16 linked papers with an AI index.
16 papers
Toward a Unified Statistical Theory of Unsupervised Pretraining and Supervised Neural Knowledge Graph Learning
Jifan Zhang, Miklos Racz, Suqi Liu
The paper proposes a theoretically grounded two-stage framework that first unsupervisedly pretrains on heterogeneous data and then performs supervised learning for knowledge graph…
Causal Representation Learning from Network Data
Jifan Zhang, Michelle M. Li, Elena Zheleva
Causal disentanglement from soft interventions is identifiable under the assumptions of linear interventional faithfulness and availability of both observational and interventional…
Leum-VL Technical Report
Yuxuan He, Chaiming Huang, Yifan Wu +4
A short video succeeds not simply because of what it shows, but because of how it schedules attention -- yet current multimodal models lack the structural grammar to parse or produ…
Unknown Aware AI-Generated Content Attribution
Ellie Thieu, Jifan Zhang, Haoyue Bai
The rapid advancement of photorealistic generative models has made it increasingly important to attribute the origin of synthetic content, moving beyond binary real or fake detecti…
Topology-Aware Conformal Prediction for Stream Networks
Jifan Zhang, Fangxin Wang, Zihe Song +3
Stream networks, a unique class of spatiotemporal graphs, exhibit complex directional flow constraints and evolving dependencies, making uncertainty quantification a critical yet c…
Stress-Testing Model Specs Reveals Character Differences among Language Models
Jifan Zhang, Henry Sleight, Andi Peng +2
Large language models (LLMs) are increasingly trained from AI constitutions and model specifications that establish behavioral guidelines and ethical principles. However, these spe…