activity
20142024
most citedTsallis information dimension of complex networks

35 citations · 112 across the 30 of their papers we have counts for

collaborators

29 papers

cs.IT20241 cited

Limit of the Maximum Random Permutation Set Entropy

Jiefeng Zhou, Zhen Li, Kang Hao Cheong +1

The Random Permutation Set (RPS) is a new type of set proposed recently, which can be regarded as the generalization of evidence theory. To measure the uncertainty of RPS, the entr…

cs.AI2024

Random Graph Set and Evidence Pattern Reasoning Model

Tianxiang Zhan, Zhen Li, Yong Deng

Evidence theory is widely used in decision-making and reasoning systems. In previous research, Transferable Belief Model (TBM) is a commonly used evidential decision making model,…

cond-mat.mtrl-sci2023

Preferential bond formation and interstitial/vacancy annihilation rate drive atomic clustering in gallium ion sputtered compound materials

Zhenyu Ma, Xin Zhang, Pu Liu +13

The investigation of chemical reactions during the ion irradiation is a frontier for the study of the ion-material interaction. In order to derive the contribution of bond formatio…

cs.CL20234 cited

Towards Better Instruction Following Language Models for Chinese: Investigating the Impact of Training Data and Evaluation

Yunjie Ji, Yan Gong, Yong Deng +4

Recently, significant public efforts have been directed towards developing low-cost models with capabilities akin to ChatGPT, thereby fostering the growth of open-source conversati…

cs.CL202321 cited

Exploring the Impact of Instruction Data Scaling on Large Language Models: An Empirical Study on Real-World Use Cases

Yunjie Ji, Yong Deng, Yan Gong +5

The success of ChatGPT has recently attracted numerous efforts to replicate it, with instruction-tuning strategies being a key factor in achieving remarkable results. Instruction-t…

cs.CL2022

BEIKE NLP at SemEval-2022 Task 4: Prompt-Based Paragraph Classification for Patronizing and Condescending Language Detection

Yong Deng, Chenxiao Dou, Liangyu Chen +4

PCL detection task is aimed at identifying and categorizing language that is patronizing or condescending towards vulnerable communities in the general media.Compared to other NLP…