MOPI-HFRS: A Multi-objective Personalized Health-aware Food Recommendation System with LLM-enhanced Interpretation
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Zheyuan, Wang, Zehong, Ma, Tianyi, Taneja, Varun Sameer, Nelson, Sofia, Le, Nhi Ha Lan, Murugesan, Keerthiram, Ju, Mingxuan, Chawla, Nitesh V, Zhang, Chuxu, Ye, Yanfang |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning
by: Zhang, Zheyuan, et al.
Published: (2024)
by: Zhang, Zheyuan, et al.
Published: (2024)
Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
by: Li, Yiyang, et al.
Published: (2025)
by: Li, Yiyang, et al.
Published: (2025)
LongDA: Benchmarking LLM Agents for Long-Document Data Analysis
by: Li, Yiyang, et al.
Published: (2026)
by: Li, Yiyang, et al.
Published: (2026)
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
by: Wang, Zehong, et al.
Published: (2024)
by: Wang, Zehong, et al.
Published: (2024)
Beyond Message Passing: Neural Graph Pattern Machine
by: Wang, Zehong, et al.
Published: (2025)
by: Wang, Zehong, et al.
Published: (2025)
GFT: Graph Foundation Model with Transferable Tree Vocabulary
by: Wang, Zehong, et al.
Published: (2024)
by: Wang, Zehong, et al.
Published: (2024)
AgentRouter: A Knowledge-Graph-Guided LLM Router for Collaborative Multi-Agent Question Answering
by: Zhang, Zheyuan, et al.
Published: (2025)
by: Zhang, Zheyuan, et al.
Published: (2025)
Generative Graph Pattern Machine
by: Wang, Zehong, et al.
Published: (2025)
by: Wang, Zehong, et al.
Published: (2025)
Subgraph Pooling: Tackling Negative Transfer on Graphs
by: Wang, Zehong, et al.
Published: (2024)
by: Wang, Zehong, et al.
Published: (2024)
Training MLPs on Graphs without Supervision
by: Wang, Zehong, et al.
Published: (2024)
by: Wang, Zehong, et al.
Published: (2024)
SimMLP: Training MLPs on Graphs without Supervision
by: Wang, Zehong, et al.
Published: (2024)
by: Wang, Zehong, et al.
Published: (2024)
NG-Router: Graph-Supervised Multi-Agent Collaboration for Nutrition Question Answering
by: Shi, Kaiwen, et al.
Published: (2025)
by: Shi, Kaiwen, et al.
Published: (2025)
Can LLMs Convert Graphs to Text-Attributed Graphs?
by: Wang, Zehong, et al.
Published: (2024)
by: Wang, Zehong, et al.
Published: (2024)
LLM-Empowered Class Imbalanced Graph Prompt Learning for Online Drug Trafficking Detection
by: Ma, Tianyi, et al.
Published: (2025)
by: Ma, Tianyi, et al.
Published: (2025)
BHyGNN+: Unsupervised Representation Learning for Heterophilic Hypergraphs
by: Ma, Tianyi, et al.
Published: (2026)
by: Ma, Tianyi, et al.
Published: (2026)
Diet-ODIN: A Novel Framework for Opioid Misuse Detection with Interpretable Dietary Patterns
by: Zhang, Zheyuan, et al.
Published: (2024)
by: Zhang, Zheyuan, et al.
Published: (2024)
AutoData: A Multi-Agent System for Open Web Data Collection
by: Ma, Tianyi, et al.
Published: (2025)
by: Ma, Tianyi, et al.
Published: (2025)
Food4All: A Multi-Agent Framework for Real-time Free Food Discovery with Integrated Nutritional Metadata
by: Yuan, Zhengqing, et al.
Published: (2025)
by: Yuan, Zhengqing, et al.
Published: (2025)
OPBench: A Graph Benchmark to Combat the Opioid Crisis
by: Ma, Tianyi, et al.
Published: (2026)
by: Ma, Tianyi, et al.
Published: (2026)
Policy4OOD: A Knowledge-Guided World Model for Policy Intervention Simulation against the Opioid Overdose Crisis
by: Ma, Yijun, et al.
Published: (2026)
by: Ma, Yijun, et al.
Published: (2026)
Context Attribution with Multi-Armed Bandit Optimization
by: Pan, Deng, et al.
Published: (2025)
by: Pan, Deng, et al.
Published: (2025)
UGMAE: A Unified Framework for Graph Masked Autoencoders
by: Tian, Yijun, et al.
Published: (2024)
by: Tian, Yijun, et al.
Published: (2024)
EvolveRouter: Co-Evolving Routing and Prompt for Multi-Agent Question Answering
by: Huang, Jiatan, et al.
Published: (2026)
by: Huang, Jiatan, et al.
Published: (2026)
Controllable Graph Generation with Diffusion Models via Inference-Time Tree Search Guidance
by: Zhao, Jiachi, et al.
Published: (2025)
by: Zhao, Jiachi, et al.
Published: (2025)
GLEN-Bench: A Graph-Language based Benchmark for Nutritional Health
by: Huang, Jiatan, et al.
Published: (2026)
by: Huang, Jiatan, et al.
Published: (2026)
Why Semantic Entropy Fails: Geometry-Aware and Calibrated Uncertainty for Policy Optimization
by: Zhang, Zheyuan, et al.
Published: (2026)
by: Zhang, Zheyuan, et al.
Published: (2026)
CiteAudit: You Cited It, But Did You Read It? A Benchmark for Verifying Scientific References in the LLM Era
by: Shi, Kaiwen, et al.
Published: (2026)
by: Shi, Kaiwen, et al.
Published: (2026)
Graph Foundation Models: A Comprehensive Survey
by: Wang, Zehong, et al.
Published: (2025)
by: Wang, Zehong, et al.
Published: (2025)
MAPRO: Recasting Multi-Agent Prompt Optimization as Maximum a Posteriori Inference
by: Zhang, Zheyuan, et al.
Published: (2025)
by: Zhang, Zheyuan, et al.
Published: (2025)
Semantic Refinement with LLMs for Graph Representations
by: Thapaliya, Safal, et al.
Published: (2025)
by: Thapaliya, Safal, et al.
Published: (2025)
On the Safety of Graph Representation Learning
by: Guo, Xiaoguang, et al.
Published: (2026)
by: Guo, Xiaoguang, et al.
Published: (2026)
Adaptive Expansion for Hypergraph Learning
by: Ma, Tianyi, et al.
Published: (2025)
by: Ma, Tianyi, et al.
Published: (2025)
Non-parametric Graph Convolution for Re-ranking in Recommendation Systems
by: Ouyang, Zhongyu, et al.
Published: (2025)
by: Ouyang, Zhongyu, et al.
Published: (2025)
STARLING: Self-supervised Training of Text-based Reinforcement Learning Agent with Large Language Models
by: Basavatia, Shreyas, et al.
Published: (2024)
by: Basavatia, Shreyas, et al.
Published: (2024)
Can we Soft Prompt LLMs for Graph Learning Tasks?
by: Liu, Zheyuan, et al.
Published: (2024)
by: Liu, Zheyuan, et al.
Published: (2024)
Mitigating Gradient Bias in Multi-objective Learning: A Provably Convergent Stochastic Approach
by: Fernando, Heshan, et al.
Published: (2022)
by: Fernando, Heshan, et al.
Published: (2022)
On the Effects of Fine-tuning Language Models for Text-Based Reinforcement Learning
by: Gruppi, Mauricio, et al.
Published: (2024)
by: Gruppi, Mauricio, et al.
Published: (2024)
Targeted Advertising on Social Networks Using Online Variational Tensor Regression
by: Idé, Tsuyoshi, et al.
Published: (2022)
by: Idé, Tsuyoshi, et al.
Published: (2022)
Kabab: A Hybrid Rust-TypeScript Architecture for Autonomous AI Agents with Universal Skill Loading and Multi-Provider Model Routing
by: Chawla, Varun
Published: (2026)
by: Chawla, Varun
Published: (2026)
RagaLoRA: LoRA-Tuning a Diffusion Music Model for Indian Genres
by: Chawla, Varun
Published: (2026)
by: Chawla, Varun
Published: (2026)
Similar Items
-
NGQA: A Nutritional Graph Question Answering Benchmark for Personalized Health-aware Nutritional Reasoning
by: Zhang, Zheyuan, et al.
Published: (2024) -
Interpretable Graph-Language Modeling for Detecting Youth Illicit Drug Use
by: Li, Yiyang, et al.
Published: (2025) -
LongDA: Benchmarking LLM Agents for Long-Document Data Analysis
by: Li, Yiyang, et al.
Published: (2026) -
Towards Graph Foundation Models: Learning Generalities Across Graphs via Task-Trees
by: Wang, Zehong, et al.
Published: (2024) -
Beyond Message Passing: Neural Graph Pattern Machine
by: Wang, Zehong, et al.
Published: (2025)