3 citations · 4 across the 4 of their papers we have counts for
4 papers
Meituan Merchant Business Diagnosis via Policy-Guided Dual-Process User Simulation
Ziyang Chen, Renbing Chen, Daowei Li +4
Simulating group-level user behavior enables scalable counterfactual evaluation of merchant strategies without costly online experiments. However, building a trustworthy simulator…
Efficient Sequential Recommendation for Long Term User Interest Via Personalization
Qiang Zhang, Hanchao Yu, Ivan Ji +14
Recent years have witnessed success of sequential modeling, generative recommender, and large language model for recommendation. Though the scaling law has been validated for seque…
Reka Core, Flash, and Edge: A Series of Powerful Multimodal Language Models
Reka Team, Aitor Ormazabal, Che Zheng +23
We introduce Reka Core, Flash, and Edge, a series of powerful multimodal language models trained from scratch by Reka. Reka models are able to process and reason with text, images,…
Multiple Key-value Strategy in Recommendation Systems Incorporating Large Language Model
Dui Wang, Xiangyu Hou, Xiaohui Yang +3
Recommendation system (RS) plays significant roles in matching users information needs for Internet applications, and it usually utilizes the vanilla neural network as the backbone…