95 citations · 659 across the 48 of their papers we have counts for
7 papers · 1 filter
Enhancing Video-Language Representations with Structural Spatio-Temporal Alignment
Hao Fei, Shengqiong Wu, Meishan Zhang +3
While pre-training large-scale video-language models (VLMs) has shown remarkable potential for various downstream video-language tasks, existing VLMs can still suffer from certain…
Recognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction
Meishan Zhang, Hao Fei, Bin Wang +4
In the field of information extraction (IE), tasks across a wide range of modalities and their combinations have been traditionally studied in isolation, leaving a gap in deeply re…
Towards Semantic Equivalence of Tokenization in Multimodal LLM
Shengqiong Wu, Hao Fei, Xiangtai Li +4
Multimodal Large Language Models (MLLMs) have demonstrated exceptional capabilities in processing vision-language tasks. One of the crux of MLLMs lies in vision tokenization, which…
ProtT3: Protein-to-Text Generation for Text-based Protein Understanding
Zhiyuan Liu, An Zhang, Hao Fei +4
Language Models (LMs) excel in understanding textual descriptions of proteins, as evident in biomedical question-answering tasks. However, their capability falters with raw protein…
Modeling Unified Semantic Discourse Structure for High-quality Headline Generation
Minghui Xu, Hao Fei, Fei Li +4
Headline generation aims to summarize a long document with a short, catchy title that reflects the main idea. This requires accurately capturing the core document semantics, which…
In-Context Learning for Few-Shot Nested Named Entity Recognition
Meishan Zhang, Bin Wang, Hao Fei +1
In nested Named entity recognition (NER), entities are nested with each other, and thus requiring more data annotations to address. This leads to the development of few-shot nested…
Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction
Kangkang Lu, Yanhua Yu, Hao Fei +6
In recent years, spectral graph neural networks, characterized by polynomial filters, have garnered increasing attention and have achieved remarkable performance in tasks such as n…