activity
20232025
most citedEnhancing Video-Language Representations with Structural Spatio-Temporal Alignment

63 citations · 95 across the 20 of their papers we have counts for

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Showing 2024 · cs.CLShow all

7 papers · 2 filters

cs.CL2024★ 1 cited

GME: Improving Universal Multimodal Retrieval by Multimodal LLMs

Xin Zhang, Yanzhao Zhang, Wen Xie +7

Universal Multimodal Retrieval (UMR) aims to enable search across various modalities using a unified model, where queries and candidates can consist of pure text, images, or a comb…

cs.CL2024

Grammar Induction from Visual, Speech and Text

Yu Zhao, Hao Fei, Shengqiong Wu +3

Grammar Induction could benefit from rich heterogeneous signals, such as text, vision, and acoustics. In the process, features from distinct modalities essentially serve complement…

cs.CL2024

An End-to-End Model for Photo-Sharing Multi-modal Dialogue Generation

Peiming Guo, Sinuo Liu, Yanzhao Zhang +4

Photo-Sharing Multi-modal dialogue generation requires a dialogue agent not only to generate text responses but also to share photos at the proper moment. Using image text caption…

cs.CL2024★ 14 cited

mGTE: Generalized Long-Context Text Representation and Reranking Models for Multilingual Text Retrieval

Xin Zhang, Yanzhao Zhang, Dingkun Long +10

We present systematic efforts in building long-context multilingual text representation model (TRM) and reranker from scratch for text retrieval. We first introduce a text encoder…

cs.CL2024★ 4 cited

LLM-Driven Multimodal Opinion Expression Identification

Bonian Jia, Huiyao Chen, Yueheng Sun +2

Opinion Expression Identification (OEI) is essential in NLP for applications ranging from voice assistants to depression diagnosis. This study extends OEI to encompass multimodal i…

cs.CL2024★ 1 cited

Chinese Sequence Labeling with Semi-Supervised Boundary-Aware Language Model Pre-training

Longhui Zhang, Dingkun Long, Meishan Zhang +3

Chinese sequence labeling tasks are heavily reliant on accurate word boundary demarcation. Although current pre-trained language models (PLMs) have achieved substantial gains on th…

cs.CL2024★ 1 cited

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…