most citedLatentExplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language Models

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

collaborators

2 papers

cs.CL2026

Learning User Interests via Reasoning and Distillation for Cross-Domain News Recommendation

Mengdan Zhu, Yufan Zhao, Tao Di +2

News recommendation plays a critical role in online news platforms by helping users discover relevant content. Cross-domain news recommendation further requires inferring user's un…

cs.LG2024★ 1 cited

LatentExplainer: Explaining Latent Representations in Deep Generative Models with Multimodal Large Language Models

Mengdan Zhu, Raasikh Kanjiani, Jiahui Lu +3

Deep generative models like VAEs and diffusion models have advanced various generation tasks by leveraging latent variables to learn data distributions and generate high-quality sa…