most citedExamples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce

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cs.CL2025★ 1 cited

Examples as the Prompt: A Scalable Approach for Efficient LLM Adaptation in E-Commerce

Jingying Zeng, Zhenwei Dai, Hui Liu +6

Prompting LLMs offers an efficient way to guide output generation without explicit model training. In the e-commerce domain, prompting-based applications are widely used for tasks…

cs.CL2025★ 1 cited

Cite Before You Speak: Enhancing Context-Response Grounding in E-commerce Conversational LLM-Agents

Jingying Zeng, Hui Liu, Zhenwei Dai +5

With the advancement of conversational large language models (LLMs), several LLM-based Conversational Shopping Agents (CSA) have been developed to help customers smooth their onlin…