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

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.DL2025

Has ACL Lost Its Crown? A Decade-Long Quantitative Analysis of Scale and Impact Across Leading AI Conferences

Jianglin Ma, Ben Yao, Xiang Li +1

The recent surge of language models (LMs) has rapidly expanded NLP/AI research, driving an exponential rise in submissions and acceptances at major conferences. Yet this growth has…

cs.CL2025

Large Language Models for Subjective Language Understanding: A Survey

Changhao Song, Yazhou Zhang, Hui Gao +2

Subjective language understanding refers to a broad set of natural language processing tasks where the goal is to interpret or generate content that conveys personal feelings, opin…

cs.CV2025

Are MLMs Trapped in the Visual Room?

Yazhou Zhang, Chunwang Zou, Qimeng Liu +6

Can multi-modal large models (MLMs) that can ``see'' an image be said to ``understand'' it? Drawing inspiration from Searle's Chinese Room, we propose the \textbf{Visual Room} argu…

cs.CL2025★ 1 cited

NurValues: Real-World Nursing Values Evaluation for Large Language Models in Clinical Context

Ben Yao, Qiuchi Li, Yazhou Zhang +4

While LLMs have demonstrated medical knowledge and conversational ability, their deployment in clinical practice raises new risks: patients may place greater trust in LLM-generated…

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…