ArXiv TLDR

Shuang Yang

2 papers · Latest:

Computer Vision

SenseNova-U1: Unifying Multimodal Understanding and Generation with NEO-unify Architecture

SenseNova-U1 introduces a unified architecture (NEO-unify) that seamlessly integrates multimodal understanding and generation, outperforming specialized VLMs.

2605.12500
Information Retrieval

On the Equivalence Between Auto-Regressive Next Token Prediction and Full-Item-Vocabulary Maximum Likelihood Estimation in Generative Recommendation--A Short Note

This paper proves that auto-regressive next-token prediction in generative recommendation is mathematically equivalent to full-item-vocabulary maximum likelihood estimation.

2604.15739

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