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20232025
most citedLabel-Retrieval-Augmented Diffusion Models for Learning from Noisy Labels

8 citations · 17 across the 13 of their papers we have counts for

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Showing 2024Show all

8 papers · 1 filter

cs.AI2024

GUI Agents: A Survey

Dang Nguyen, Jian Chen, Yu Wang +27

Graphical User Interface (GUI) agents, powered by Large Foundation Models, have emerged as a transformative approach to automating human-computer interaction. These agents autonomo…

cs.CV2024★ 1 cited

SV-RAG: LoRA-Contextualizing Adaptation of MLLMs for Long Document Understanding

Jian Chen, Ruiyi Zhang, Yufan Zhou +6

Multimodal large language models (MLLMs) have recently shown great progress in text-rich image understanding, yet they still struggle with complex, multi-page visually-rich documen…

cs.CL2024★ 6 cited

A Survey of Small Language Models

Chien Van Nguyen, Xuan Shen, Ryan Aponte +25

Small Language Models (SLMs) have become increasingly important due to their efficiency and performance to perform various language tasks with minimal computational resources, maki…

cs.CL2024

TextLap: Customizing Language Models for Text-to-Layout Planning

Jian Chen, Ruiyi Zhang, Yufan Zhou +4

Automatic generation of graphical layouts is crucial for many real-world applications, including designing posters, flyers, advertisements, and graphical user interfaces. Given the…

cs.CV2024

MMR: Evaluating Reading Ability of Large Multimodal Models

Jian Chen, Ruiyi Zhang, Yufan Zhou +3

Large multimodal models (LMMs) have demonstrated impressive capabilities in understanding various types of image, including text-rich images. Most existing text-rich image benchmar…

cs.CV2024

LLaVA-Read: Enhancing Reading Ability of Multimodal Language Models

Ruiyi Zhang, Yufan Zhou, Jian Chen +3

Large multimodal language models have demonstrated impressive capabilities in understanding and manipulating images. However, many of these models struggle with comprehending inten…

cs.CV2024★ 1 cited

TRINS: Towards Multimodal Language Models that Can Read

Ruiyi Zhang, Yanzhe Zhang, Jian Chen +4

Large multimodal language models have shown remarkable proficiency in understanding and editing images. However, a majority of these visually-tuned models struggle to comprehend th…

cs.CV2024★ 1 cited

Towards Aligned Layout Generation via Diffusion Model with Aesthetic Constraints

Jian Chen, Ruiyi Zhang, Yufan Zhou +4

Controllable layout generation refers to the process of creating a plausible visual arrangement of elements within a graphic design (e.g., document and web designs) with constraint…