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Zihua Wang

2 accepted papers

2026

Efficient and Effective In-context Demonstration Selection with Coreset

AAAI 2026technical

In-context learning (ICL) has emerged as a powerful paradigm for Large Visual Language Models (LVLMs), enabling them to leverage a few examples directly from input contexts. However, the effectiveness of this approach is heavily reliant on the selection of demonstrations, a process that is NP-hard.

Cited by 0SourcePDFScholar
2023

Transforming Visual Scene Graphs to Image Captions

ACL 2023long

We propose to TransForm Scene Graphs into more descriptive Captions (TFSGC). In TFSGC, we apply multi-head attention (MHA) to design the Graph Neural Network (GNN) for embedding scene graphs. After embedding, different graph embeddings contain diverse specific knowledge for generating the words with…