Miao Xie

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries

Xiao Zhang, Yang Wan, Yi Li, Miao Xie et autres

Retrieval-Augmented Generation (RAG) systems are widely adopted in question answering, yet they often fail to satisfy complex multi-constraint queries, leading to constraint violations, factual inconsistencies, or hallucinations. We present Structure-Driven RAG System for Multi-Constraint Queries(MC-RAG), a structure-driven RAG system that reformulates retrieval …

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Reply to S Kleinberg

Miao Xie, Yu Dong, J Alfredo Martinez, Ruixin Zhu

cn, es (code pays fourni par la source)

Reply to M Walker et al.

Miao Xie, Yu Dong, José Alfredo Martínez, Ruixin Zhu

cn, es (code pays fourni par la source)

Computational Nutrition 2.0: an algorithmic frontier for AI agents

Miao Xie, Cheng Shen, Ruixin Zhu, Chunli Lv

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HMAF: A Hierarchical Multi-Slot GD-RTB Allocation Framework

Tianxing Bu, Zhaoqi Zhang, Linyou Cai, Miao Xie et autres

In modern online advertising platforms, Guaranteed Delivery (GD) contracts coexist and bid with Real-Time Bidding (RTB) auctions. Recent approaches either decouple GD and RTB optimization or rely on heuristic priority rules, and thus fail to effectively balance short-term revenue maximization with long-term …

cn, sg (code pays fourni par la source)

MC-RAG System: A Structure-Driven RAG System for Multi-Constraint Queries

Xiao Zhang, Yang Wan, Yi Li, Miao Xie et autres

Retrieval-Augmented Generation (RAG) systems are widely adopted in question answering, yet they often fail to satisfy complex multi-constraint queries, leading to constraint violations, factual inconsistencies, or hallucinations. We present Structure-Driven RAG System for Multi-Constraint Queries(MC-RAG), a structure-driven RAG system that reformulates retrieval …

cn, sg (code pays fourni par la source)

Beyond Single Slot: Joint Optimization for Multi-Slot Guaranteed Display Advertising

Zhaoqi Zhang, Jiaming Deng, Miao Xie, Linyou Cai et autres

Guaranteed display advertising is crucial for platform monetization, yet existing methods often operate under a single-slot assumption, limiting their ability to optimize allocation across multi-slot page views. In this paper, we propose a novel joint optimization framework for multi-slot GD allocation, addressing …

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Advances, challenges, and future directions in precision nutrition by machine learning-based prediction of glycemic responses to foods: a narrative review

Miao Xie, Yao Hu, Hao Xu, Xiaoxia Li et autres

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HMAF: A Hierarchical Multi-Slot GD-RTB Allocation Framework

Tianxing Bu, Zhaoqi Zhang, Linyou Cai, Miao Xie et autres

In modern online advertising platforms, Guaranteed Delivery (GD) contracts coexist and bid with Real-Time Bidding (RTB) auctions. Recent approaches either decouple GD and RTB optimization or rely on heuristic priority rules, and thus fail to effectively balance short-term revenue maximization with long-term …

Structure Guided Retrieval-Augmented Generation for Factual Queries

Association for Computational Linguistics 2026, Yi Li, Chunli Lv, Miao Xie et autres

Retrieval-Augmented Generation (RAG) has been proposed to mitigate hallucinations in large language models (LLMs), where generated outputs may be factually incorrect. However, existing RAG approaches predominantly rely on vector similarity for retrieval, which is prone to semantic noise and fails to ensure …

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The Health and Environmental Impacts, Safety, and Affordability of the EAT-Lancet Planetary Health Diet: A Multidisciplinary Systematic Review and Meta-Analysis

Ruixin Zhu, Langrun Wang, Huiyu Chen, Jiale Ren et autres

In 2019, the EAT-Lancet Commission proposed transition to the planetary health diet, whereas the health and environmental benefits, safety, and affordability of the diet have recently been challenged. This systematic review and meta-analysis aimed to provide a quantitative summary of the EAT-Lancet …

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The new era in financial evolution: a review of applications of generative AI in finance

Shanshan Feng, Elijah Xuan Ye Yeo, Rayner Ong, Jordan Soh Jing Ren et autres

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