4 citations · 4 across the 3 of their papers we have counts for
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cs.CL2026
Task-Specific Efficiency Analysis: When Small Language Models Outperform Large Language Models
Jinghan Cao, Yu Ma, Xinjin Li +2
Large Language Models achieve remarkable performance but incur substantial computational costs unsuitable for resource-constrained deployments. This paper presents the first compre…
cs.CL2026
Slang Context-based Inference Enhancement via Greedy Search-Guided Chain-of-Thought Prompting
Jinghan Cao, Qingyang Ren, Xiangyun Chen +3
Slang interpretation has been a challenging downstream task for Large Language Models (LLMs) as the expressions are inherently embedded in contextual, cultural, and linguistic fram…
cs.CL2024★ 4 cited
A survey on fairness of large language models in e-commerce: progress, application, and challenge
Qingyang Ren, Zilin Jiang, Jinghan Cao +6
This survey explores the fairness of large language models (LLMs) in e-commerce, examining their progress, applications, and the challenges they face. LLMs have become pivotal in t…