activity
20242026
most citedDatasets for Large Language Models: A Comprehensive Survey

16 citations · 16 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

JieZi: A Large-Scale Expert-Audited Dataset and Benchmark for Ancient Chinese Character Exegesis

Ran Li, Huiguo He, Jiahuan Cao +3

The scholarly exegesis of ancient Chinese characters demands integrating visual observation, linguistic analysis, and historical context. However, existing computational approaches…

cs.LG2025

Smaller But Better: Unifying Layout Generation with Smaller Large Language Models

Peirong Zhang, Jiaxin Zhang, Jiahuan Cao +2

We propose LGGPT, an LLM-based model tailored for unified layout generation. First, we propose Arbitrary Layout Instruction (ALI) and Universal Layout Response (ULR) as the uniform…

cs.CL2024

TongGu: Mastering Classical Chinese Understanding with Knowledge-Grounded Large Language Models

Jiahuan Cao, Dezhi Peng, Peirong Zhang +4

Classical Chinese is a gateway to the rich heritage and wisdom of ancient China, yet its complexities pose formidable comprehension barriers for most modern people without speciali…

cs.CL2024

CBench: A Comprehensive Classical Chinese Understanding Benchmark for Large Language Models

Jiahuan Cao, Yongxin Shi, Dezhi Peng +2

Classical Chinese Understanding (CCU) holds significant value in preserving and exploration of the outstanding traditional Chinese culture. Recently, researchers have attempted to…

cs.CL2024★ 16 cited

Datasets for Large Language Models: A Comprehensive Survey

Yang Liu, Jiahuan Cao, Chongyu Liu +2

This paper embarks on an exploration into the Large Language Model (LLM) datasets, which play a crucial role in the remarkable advancements of LLMs. The datasets serve as the found…