4 papers
Evidence-in-the-Loop: Trace-Driven Optimization for Customer-Service LLM Agents
Chunming Wu, Dafei Qiu, Congde Yuan +7
Production customer-service bots must improve answer quality across iterative releases, yet large language models must not bypass evidence boundaries, policy rules, or human-handof…
AgentLTV: An Agent-Based Unified Search-and-Evolution Framework for Automated Lifetime Value Prediction
Chaowei Wu, Huazhu Chen, Congde Yuan +6
Lifetime Value (LTV) prediction is critical in advertising, recommender systems, and e-commerce. In practice, LTV data patterns vary across decision scenarios. As a result, practit…
HIT Model: A Hierarchical Interaction-Enhanced Two-Tower Model for Pre-Ranking Systems
Haoqiang Yang, Congde Yuan, Kun Bai +3
Online display advertising platforms rely on pre-ranking systems to efficiently filter and prioritize candidate ads from large corpora, balancing relevance to users with strict com…
SHORE: A Long-term User Lifetime Value Prediction Model in Digital Games
Congde Yuan
In digital gaming, long-term user lifetime value (LTV) prediction is essential for monetization strategy, yet presents major challenges due to delayed payment behavior, sparse earl…