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20232026
most citedPushing The Limit of LLM Capacity for Text Classification

11 citations · 31 across the 12 of their papers we have counts for

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5 papers · 1 filter

cs.CL2024★ 2 cited

Edu-Values: Towards Evaluating the Chinese Education Values of Large Language Models

Peiyi Zhang, Yazhou Zhang, Bo Wang +3

In this paper, we present Edu-Values, the first Chinese education values evaluation benchmark that includes seven core values: professional philosophy, teachers' professional ethic…

cs.CL2024★ 4 cited

SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding

Yazhou Zhang, Chunwang Zou, Zheng Lian +2

In the era of large language models (LLMs), the task of ``System I''~-~the fast, unconscious, and intuitive tasks, e.g., sentiment analysis, text classification, etc., have been ar…

cs.CL2024★ 2 cited

Is Sarcasm Detection A Step-by-Step Reasoning Process in Large Language Models?

Ben Yao, Yazhou Zhang, Qiuchi Li +1

Elaborating a series of intermediate reasoning steps significantly improves the ability of large language models (LLMs) to solve complex problems, as such steps would evoke LLMs to…

cs.AI2024★ 1 cited

WundtGPT: Shaping Large Language Models To Be An Empathetic, Proactive Psychologist

Chenyu Ren, Yazhou Zhang, Daihai He +1

Large language models (LLMs) are raging over the medical domain, and their momentum has carried over into the mental health domain, leading to the emergence of few mental health LL…

cs.CL2024★ 11 cited

Pushing The Limit of LLM Capacity for Text Classification

Yazhou Zhang, Mengyao Wang, Chenyu Ren +4

The value of text classification's future research has encountered challenges and uncertainties, due to the extraordinary efficacy demonstrated by large language models (LLMs) acro…