activity
20222026
most citedFengshenbang 1.0: Being the Foundation of Chinese Cognitive Intelligence

47 citations · 73 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

SkillsBench: Benchmarking How Well Agent Skills Work Across Diverse Tasks

Xiangyi Li, Yimin Liu, Wenbo Chen +75

Agent Skills are structured packages of procedural knowledge that augment large language model (LLM) agents at inference time. Despite rapid adoption, there is no standard way to m…

cs.LG2023

Riemannian Multinomial Logistics Regression for SPD Neural Networks

Ziheng Chen, Yue Song, Gaowen Liu +3

Deep neural networks for learning Symmetric Positive Definite (SPD) matrices are gaining increasing attention in machine learning. Despite the significant progress, most existing S…

cs.CL2023★ 7 cited

LabelPrompt: Effective Prompt-based Learning for Relation Classification

Wenjie Zhang, Xiaoning Song, Zhenhua Feng +2

Recently, prompt-based learning has gained popularity across many natural language processing (NLP) tasks by reformulating them into a cloze-style format to better align pre-traine…

cs.CL2022★ 47 cited

Fengshenbang 1.0: Being the Foundation of Chinese Cognitive Intelligence

Jiaxing Zhang, Ruyi Gan, Junjie Wang +22

Nowadays, foundation models become one of fundamental infrastructures in artificial intelligence, paving ways to the general intelligence. However, the reality presents two urgent…

cs.CL2022★ 19 cited

NFLAT: Non-Flat-Lattice Transformer for Chinese Named Entity Recognition

Shuang Wu, Xiaoning Song, Zhenhua Feng +1

Recently, Flat-LAttice Transformer (FLAT) has achieved great success in Chinese Named Entity Recognition (NER). FLAT performs lexical enhancement by constructing flat lattices, whi…