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20242026
most citedLarge Language Models Meet NLP: A Survey

20 citations · 39 across the 6 of their papers we have counts for

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6 papers

cs.CV2026

Planning and Rendering in Concert: DeepFusion of Autoregressive Layouts and Diffusion for Visual Text Generation

Guanqiao Chen, Jingru Tan, Dongxing Mao +5

Generating text-rich images from prompts requires both textual fidelity and the coherent integration of text into the surrounding image. An explicit layout can provide structured g…

cs.CV2025★ 1 cited

TextAtlas5M: A Large-scale Dataset for Dense Text Image Generation

Alex Jinpeng Wang, Dongxing Mao, Jiawei Zhang +9

Text-conditioned image generation has gained significant attention in recent years and are processing increasingly longer and comprehensive text prompt. In everyday life, dense and…

cs.CL2024★ 1 cited

EXCGEC: A Benchmark for Edit-Wise Explainable Chinese Grammatical Error Correction

Jingheng Ye, Shang Qin, Yinghui Li +8

Existing studies explore the explainability of Grammatical Error Correction (GEC) in a limited scenario, where they ignore the interaction between corrections and explanations and…

cs.CL2024★ 20 cited

Large Language Models Meet NLP: A Survey

Libo Qin, Qiguang Chen, Xiachong Feng +6

While large language models (LLMs) like ChatGPT have shown impressive capabilities in Natural Language Processing (NLP) tasks, a systematic investigation of their potential in this…

cs.CL2024★ 13 cited

Multilingual Large Language Model: A Survey of Resources, Taxonomy and Frontiers

Libo Qin, Qiguang Chen, Yuhang Zhou +6

Multilingual Large Language Models are capable of using powerful Large Language Models to handle and respond to queries in multiple languages, which achieves remarkable success in…

cs.CL2024★ 4 cited

Rethinking the Roles of Large Language Models in Chinese Grammatical Error Correction

Yinghui Li, Shang Qin, Haojing Huang +6

Recently, Large Language Models (LLMs) have been widely studied by researchers for their roles in various downstream NLP tasks. As a fundamental task in the NLP field, Chinese Gram…