Researchers have developed an online actor-critic algorithm that jointly optimizes pricing and advertisement generation using large language models (LLMs). This approach combines low-rank adaptation (LoRA) of a pretrained LLM with a demand model to maximize seller revenue. The algorithm's performance was evaluated using synthetic demand models and a real-world marketplace simulator, showing significant revenue gains compared to benchmarks that do not jointly optimize these aspects. AI
IMPACT This research demonstrates a novel application of LLMs in e-commerce, potentially improving revenue generation for online sellers.
RANK_REASON Academic paper detailing a new algorithm for LLM application. [lever_c_demoted from research: ic=1 ai=1.0]
- alphaXiv
- arXiv
- CatalyzeX
- CORE Recommender
- DagsHub
- Gotit.pub
- Hugging Face
- Influence Flower
- LLM
- LoRA
- ScienceCast
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