2 citations · 4 across the 6 of their papers we have counts for
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cs.CL2024★ 2 cited
Incorporating External Knowledge and Goal Guidance for LLM-based Conversational Recommender Systems
Chuang Li, Yang Deng, Hengchang Hu +2
This paper aims to efficiently enable large language models (LLMs) to use external knowledge and goal guidance in conversational recommender system (CRS) tasks. Advanced LLMs (e.g.…
cs.CL2024★ 1 cited
CrossTune: Black-Box Few-Shot Classification with Label Enhancement
Danqing Luo, Chen Zhang, Yan Zhang +1
Training or finetuning large-scale language models (LLMs) requires substantial computation resources, motivating recent efforts to explore parameter-efficient adaptation to downstr…