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20232025
most citedRecognizing Everything from All Modalities at Once: Grounded Multimodal Universal Information Extraction

5 citations · 10 across the 7 of their papers we have counts for

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Showing 2024Show all

5 papers · 1 filter

cs.HC2024★ 1 cited

ChartifyText: Automated Chart Generation from Data-Involved Texts via LLM

Songheng Zhang, Lei Wang, Toby Jia-Jun Li +3

Text documents with numerical values involved are widely used in various applications such as scientific research, economy, public health and journalism. However, it is difficult f…

cs.MM2024★ 5 cited

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…

cs.CL2024★ 2 cited

LLMs Assist NLP Researchers: Critique Paper (Meta-)Reviewing

Jiangshu Du, Yibo Wang, Wenting Zhao +37

This work is motivated by two key trends. On one hand, large language models (LLMs) have shown remarkable versatility in various generative tasks such as writing, drawing, and ques…

cs.DS2024★ 2 cited

Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Better

Vicente Balmaseda, Ying Xu, Yixin Cao +1

Cluster deletion is an NP-hard graph clustering objective with applications in computational biology and social network analysis, where the goal is to delete a minimum number of ed…

cs.DS2024

Switching Classes: Characterization and Computation

Dhanyamol Antony, Yixin Cao, Sagartanu Pal +1

In a graph, the switching operation reverses adjacencies between a subset of vertices and the others. For a hereditary graph class , we are concerned with the maximum…