Cover Image

Identifying Reasons for Contraceptive Switching from Real-World Data Using Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Miao, Brenda Y., Williams, Christopher YK, Chinedu-Eneh, Ebenezer, Zack, Travis, Alsentzer, Emily, Butte, Atul J., Chen, Irene Y.
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Information Retrieval Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CORAL: Expert-Curated medical Oncology Reports to Advance Language Model Inference
by: Sushil, Madhumita, et al.
Published: (2023)

Predictive Modeling of Drug‐Related Adverse Events with Real‐World Data: A Case Study of Linezolid Hematologic Outcomes
by: Anu Patel, et al.
Published: (2024)

Retrieval-Augmented Guardrails for AI-Drafted Patient-Portal Messages: Error Taxonomy Construction and Large-Scale Evaluation
by: Chen, Wenyuan, et al.
Published: (2025)

A Multi-tiered Solution for Personalized Baggage Item Recommendations using FastText and Association Rule Mining
by: Ravi, Mudavath, et al.
Published: (2025)

Enhancing Recommender Systems with Large Language Model Reasoning Graphs
by: Wang, Yan, et al.
Published: (2023)

ScalingNote: Scaling up Retrievers with Large Language Models for Real-World Dense Retrieval
by: Huang, Suyuan, et al.
Published: (2024)

Towards More Relevant Product Search Ranking Via Large Language Models: An Empirical Study
by: Liu, Qi, et al.
Published: (2024)

Agentic RAG with Knowledge Graphs for Complex Multi-Hop Reasoning in Real-World Applications
by: Lelong, Jean, et al.
Published: (2025)

Dissecting Judicial Reasoning in U.S. Copyright Damage Awards
by: Lo, Pei-Chi, et al.
Published: (2026)

The Minimum Information about CLinical Artificial Intelligence Checklist for Generative Modeling Research (MI-CLAIM-GEN)
by: Miao, Brenda Y., et al.
Published: (2024)

Identifying Offline Metrics that Predict Online Impact: A Pragmatic Strategy for Real-World Recommender Systems
by: Wilm, Timo, et al.
Published: (2025)

World Food Atlas Project
by: Rostami, Ali, et al.
Published: (2025)

Order-agnostic Identifier for Large Language Model-based Generative Recommendation
by: Lin, Xinyu, et al.
Published: (2025)

Spatial-RAG: Spatial Retrieval Augmented Generation for Real-World Geospatial Reasoning Questions
by: Yu, Dazhou, et al.
Published: (2025)

RecPrompt: A Self-tuning Prompting Framework for News Recommendation Using Large Language Models
by: Liu, Dairui, et al.
Published: (2023)

ERASE -- A Real-World Aligned Benchmark for Unlearning in Recommender Systems
by: Lubitzsch, Pierre, et al.
Published: (2026)

Towards a Real-World Aligned Benchmark for Unlearning in Recommender Systems
by: Lubitzsch, Pierre, et al.
Published: (2025)

Identifying and Decomposing Compound Ingredients in Meal Plans Using Large Language Models
by: Kopitar, Leon, et al.
Published: (2024)

A Survey of Real-World Recommender Systems: Challenges, Constraints, and Industrial Perspectives
by: Zou, Kuan, et al.
Published: (2025)

Comparative Analysis of Retrieval Systems in the Real World
by: Mozolevskyi, Dmytro, et al.
Published: (2024)

Incremental Analysis of Legacy Applications Using Knowledge Graphs for Application Modernization
by: Krishnan, Saravanan, et al.
Published: (2025)

Constructing Micro Knowledge Graphs from Technical Support Documents
by: Kumar, Atul, et al.
Published: (2025)

Multi-Relation Extraction in Entity Pairs using Global Context
by: Nilesh, et al.
Published: (2025)

RALLRec+: Retrieval Augmented Large Language Model Recommendation with Reasoning
by: Luo, Sichun, et al.
Published: (2025)

Semantic Certainty Assessment in Vector Retrieval Systems: A Novel Framework for Embedding Quality Evaluation
by: Du, Y.
Published: (2025)

Enhancing Sequential Recommendation with World Knowledge from Large Language Models
by: Dai, Tianjie, et al.
Published: (2025)

eSapiens: A Real-World NLP Framework for Multimodal Document Understanding and Enterprise Knowledge Processing
by: Shi, Isaac, et al.
Published: (2025)

FactIR: A Real-World Zero-shot Open-Domain Retrieval Benchmark for Fact-Checking
by: V, Venktesh, et al.
Published: (2025)

IntTravel: A Real-World Dataset and Generative Framework for Integrated Multi-Task Travel Recommendation
by: Yan, Huimin, et al.
Published: (2026)

Confounding is a Pervasive Problem in Real World Recommender Systems
by: Merkov, Alexander, et al.
Published: (2025)

Domain specific ontologies from Linked Open Data (LOD)
by: Uceda-Sosa, Rosario, et al.
Published: (2025)

Large Language Models for Geolocation Extraction in Humanitarian Crisis Response
by: Cafferata, G., et al.
Published: (2026)

LABSEARCH: ILR Associative Search System Terminal Users' Manual. Final Report.
by: Mignon, Edmond, et al.
Published: (1971)

Real-time Indexing for Large-scale Recommendation by Streaming Vector Quantization Retriever
by: Bin, Xingyan, et al.
Published: (2025)

Large Reasoning Embedding Models: Towards Next-Generation Dense Retrieval Paradigm
by: Tang, Jianting, et al.
Published: (2025)

Enhancing Local Life Service Recommendation with Agentic Reasoning in Large Language Model
by: Cao, Shiteng, et al.
Published: (2026)

Reasoning to Rank: An End-to-End Solution for Exploiting Large Language Models for Recommendation
by: Zheng, Kehan, et al.
Published: (2026)

Real World Conversational Entity Linking Requires More Than Zeroshots
by: Hoveyda, Mohanna, et al.
Published: (2024)

Reason-to-Recommend: Using Interaction-of-Thought Reasoning to Enhance LLM Recommendation
by: Zhao, Keyu, et al.
Published: (2025)

ReaSeq: Unleashing World Knowledge via Reasoning for Sequential Modeling
by: Tang, Jiakai, et al.
Published: (2025)