Author

Jiangshu Du

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#machine learning Preprint Oct 2026

Searching for What Matters: Open-Ended Discovery of Multiple Hypotheses with Agentic Data Exploration

Discovering what drives an outcome from data is central to science and often requires deciding what is worth investigating before a specific hypothesis is known. Yet most existing hypothesis generation settings substantially narrow this search by providing a research question, target relationship, or curated context. W...

Sanchit Kabra, Nurendra Choudhary, Jiang-Shu Du et al. · 0 citations

Review

A Survey of Multimodal Models on Language and Vision: A Unified Modeling Perspective

This survey investigates the current research landscape of multimodality modeling from three perspectives: the first group of multimodal models adopts a heterogeneous architecture to bridge different modality data, the second leverages LLM for multimodality modeling via a unified language modeling objective, and the th...

Zhongfen Deng, Yibo Wang, Yueqing Liang et al. · 2 citations