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20232026
most citedEvaluating Large Language Models: A Comprehensive Survey

63 citations · 105 across the 7 of their papers we have counts for

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5 papers · 1 filter

cs.CL2025★ 2 cited

Qwen3-Omni Technical Report

Jin Xu, Zhifang Guo, Hangrui Hu +35

We present Qwen3-Omni, a single multimodal model that, for the first time, maintains state-of-the-art performance across text, image, audio, and video without any degradation relat…

cs.CL2024

FuxiTranyu: A Multilingual Large Language Model Trained with Balanced Data

Haoran Sun, Renren Jin, Shaoyang Xu +10

Large language models (LLMs) have demonstrated prowess in a wide range of tasks. However, many LLMs exhibit significant performance discrepancies between high- and low-resource lan…

cs.CL2024

Exploring Multilingual Concepts of Human Value in Large Language Models: Is Value Alignment Consistent, Transferable and Controllable across Languages?

Shaoyang Xu, Weilong Dong, Zishan Guo +2

Prior research has revealed that certain abstract concepts are linearly represented as directions in the representation space of LLMs, predominantly centered around English. In thi…

cs.CL2023★ 63 cited

Evaluating Large Language Models: A Comprehensive Survey

Zishan Guo, Renren Jin, Chuang Liu +8

Large language models (LLMs) have demonstrated remarkable capabilities across a broad spectrum of tasks. They have attracted significant attention and been deployed in numerous dow…

cs.CL2023★ 36 cited

Large Language Model Alignment: A Survey

Tianhao Shen, Renren Jin, Yufei Huang +6

Recent years have witnessed remarkable progress made in large language models (LLMs). Such advancements, while garnering significant attention, have concurrently elicited various c…