Jinjie Gu

Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing

2019

Mobile payment such as Alipay has been widely used in our daily lives. To further promote the mobile payment activities, it is important to run marketing campaigns under a limited budget by providing incentives such …

Graph Representation Learning for Merchant Incentive Optimization in Mobile Payment Marketing

2020 · arXiv (Cornell University)

Mobile payment such as Alipay has been widely used in our daily lives. To further promote the mobile payment activities, it is important to run marketing campaigns under a limited budget by providing incentives such …

Similarity is Not All You Need: Endowing Retrieval Augmented Generation with Multi Layered Thoughts

2024 · arXiv (Cornell University)

In recent years, large language models (LLMs) have made remarkable achievements in various domains. However, the untimeliness and cost of knowledge updates coupled with hallucination issues of LLMs have curtailed their applications in knowledge intensive …

RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule Alignment

2024 · arXiv (Cornell University)

Large Language Models (LLMs) like GPT-4, MedPaLM-2, and Med-Gemini achieve performance competitively with human experts across various medical benchmarks. However, they still face challenges in making professional diagnoses akin to physicians, particularly in efficiently gathering …

Learning to Align, Aligning to Learn: A Unified Approach for Self-Optimized Alignment

2025 · arXiv (Cornell University)

Alignment methodologies have emerged as a critical pathway for enhancing language model alignment capabilities. While SFT (supervised fine-tuning) accelerates convergence through direct token-level loss intervention, its efficacy is constrained by offline policy trajectory. In contrast, …