ED-Copilot: Reduce Emergency Department Wait Time with Language Model Diagnostic Assistance
Fuente:
arXiv
Saved in:
| Main Authors: | Sun, Liwen, Agarwal, Abhineet, Kornblith, Aaron, Yu, Bin, Xiong, Chenyan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Generating Pretraining Tokens from Organic Data for Data-Bound Scaling
by: Yu, Zichun, et al.
Published: (2026)
by: Yu, Zichun, et al.
Published: (2026)
ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs
by: Butler, Landon, et al.
Published: (2025)
by: Butler, Landon, et al.
Published: (2025)
AutoRule: Reasoning Chain-of-thought Extracted Rule-based Rewards Improve Preference Learning
by: Wang, Tevin, et al.
Published: (2025)
by: Wang, Tevin, et al.
Published: (2025)
Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning
by: Li, Xiaochuan, et al.
Published: (2024)
by: Li, Xiaochuan, et al.
Published: (2024)
SPEX: Scaling Feature Interaction Explanations for LLMs
by: Kang, Justin Singh, et al.
Published: (2025)
by: Kang, Justin Singh, et al.
Published: (2025)
ResearchArena: Benchmarking Large Language Models' Ability to Collect and Organize Information as Research Agents
by: Kang, Hao, et al.
Published: (2024)
by: Kang, Hao, et al.
Published: (2024)
Linking Knowledge to Care: Knowledge Graph-Augmented Medical Follow-Up Question Generation
by: Sun, Liwen, et al.
Published: (2026)
by: Sun, Liwen, et al.
Published: (2026)
Hunt Instead of Wait: Evaluating Deep Data Research on Large Language Models
by: Liu, Wei, et al.
Published: (2026)
by: Liu, Wei, et al.
Published: (2026)
MLR-Copilot: Autonomous Machine Learning Research based on Large Language Models Agents
by: Li, Ruochen, et al.
Published: (2024)
by: Li, Ruochen, et al.
Published: (2024)
Crosscoding Through Time: Tracking Emergence & Consolidation Of Linguistic Representations Throughout LLM Pretraining
by: Bayazit, Deniz, et al.
Published: (2025)
by: Bayazit, Deniz, et al.
Published: (2025)
Emergence of Hierarchical Emotion Organization in Large Language Models
by: Zhao, Bo, et al.
Published: (2025)
by: Zhao, Bo, et al.
Published: (2025)
Asynchronous RLHF: Faster and More Efficient Off-Policy RL for Language Models
by: Noukhovitch, Michael, et al.
Published: (2024)
by: Noukhovitch, Michael, et al.
Published: (2024)
Integrating Random Forests and Generalized Linear Models for Improved Accuracy and Interpretability
by: Agarwal, Abhineet, et al.
Published: (2023)
by: Agarwal, Abhineet, et al.
Published: (2023)
Towards Reducing Diagnostic Errors with Interpretable Risk Prediction
by: McInerney, Denis Jered, et al.
Published: (2024)
by: McInerney, Denis Jered, et al.
Published: (2024)
Reducing the Scope of Language Models
by: Yunis, David, et al.
Published: (2024)
by: Yunis, David, et al.
Published: (2024)
Small Language Models for Emergency Departments Decision Support: A Benchmark Study
by: Wang, Zirui, et al.
Published: (2025)
by: Wang, Zirui, et al.
Published: (2025)
Development of a Large Language Model-based Multi-Agent Clinical Decision Support System for Korean Triage and Acuity Scale (KTAS)-Based Triage and Treatment Planning in Emergency Departments
by: Han, Seungjun, et al.
Published: (2024)
by: Han, Seungjun, et al.
Published: (2024)
Language Models are Few-Shot Graders
by: Zhao, Chenyan, et al.
Published: (2025)
by: Zhao, Chenyan, et al.
Published: (2025)
BanglaTalk: Towards Real-Time Speech Assistance for Bengali Regional Dialects
by: Hasan, Jakir, et al.
Published: (2025)
by: Hasan, Jakir, et al.
Published: (2025)
GeoLLM-Engine: A Realistic Environment for Building Geospatial Copilots
by: Singh, Simranjit, et al.
Published: (2024)
by: Singh, Simranjit, et al.
Published: (2024)
Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning
by: Zou, Jiaru, et al.
Published: (2025)
by: Zou, Jiaru, et al.
Published: (2025)
G-Loss: Graph-Guided Fine-Tuning of Language Models
by: Sharma, Aditya, et al.
Published: (2026)
by: Sharma, Aditya, et al.
Published: (2026)
RePro: Training Language Models to Faithfully Recycle the Web for Pretraining
by: Yu, Zichun, et al.
Published: (2025)
by: Yu, Zichun, et al.
Published: (2025)
Test-Time Learning for Large Language Models
by: Hu, Jinwu, et al.
Published: (2025)
by: Hu, Jinwu, et al.
Published: (2025)
LLM Assistance for Pediatric Depression
by: Ignashina, Mariia, et al.
Published: (2025)
by: Ignashina, Mariia, et al.
Published: (2025)
RAGViz: Diagnose and Visualize Retrieval-Augmented Generation
by: Wang, Tevin, et al.
Published: (2024)
by: Wang, Tevin, et al.
Published: (2024)
Toolink: Linking Toolkit Creation and Using through Chain-of-Solving on Open-Source Model
by: Qian, Cheng, et al.
Published: (2023)
by: Qian, Cheng, et al.
Published: (2023)
Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning
by: Zhi-Xuan, Tan, et al.
Published: (2024)
by: Zhi-Xuan, Tan, et al.
Published: (2024)
From Emergence to Control: Probing and Modulating Self-Reflection in Language Models
by: Zhu, Xudong, et al.
Published: (2025)
by: Zhu, Xudong, et al.
Published: (2025)
Languages are Modalities: Cross-Lingual Alignment via Encoder Injection
by: Agarwal, Rajan, et al.
Published: (2025)
by: Agarwal, Rajan, et al.
Published: (2025)
Pruning as a Defense: Reducing Memorization in Large Language Models
by: Gupta, Mansi, et al.
Published: (2025)
by: Gupta, Mansi, et al.
Published: (2025)
OverleafCopilot: Empowering Academic Writing in Overleaf with Large Language Models
by: Wen, Haomin, et al.
Published: (2024)
by: Wen, Haomin, et al.
Published: (2024)
Automated Meta Prompt Engineering for Alignment with the Theory of Mind
by: Baughman, Aaron, et al.
Published: (2025)
by: Baughman, Aaron, et al.
Published: (2025)
Simplifying Outcomes of Language Model Component Analyses with ELIA
by: Eidt, Aaron Louis, et al.
Published: (2026)
by: Eidt, Aaron Louis, et al.
Published: (2026)
Reducing the Probability of Undesirable Outputs in Language Models Using Probabilistic Inference
by: Zhao, Stephen, et al.
Published: (2025)
by: Zhao, Stephen, et al.
Published: (2025)
LiveOIBench: Can Large Language Models Outperform Human Contestants in Informatics Olympiads?
by: Zou, Kaijian, et al.
Published: (2025)
by: Zou, Kaijian, et al.
Published: (2025)
Context-Aware Initialization for Reducing Generative Path Length in Diffusion Language Models
by: Miao, Tongyuan, et al.
Published: (2025)
by: Miao, Tongyuan, et al.
Published: (2025)
Evaluating & Reducing Deceptive Dialogue From Language Models with Multi-turn RL
by: Abdulhai, Marwa, et al.
Published: (2025)
by: Abdulhai, Marwa, et al.
Published: (2025)
Active Layer-Contrastive Decoding Reduces Hallucination in Large Language Model Generation
by: Zhang, Hongxiang, et al.
Published: (2025)
by: Zhang, Hongxiang, et al.
Published: (2025)
TimeCopilot
by: Garza, Azul, et al.
Published: (2025)
by: Garza, Azul, et al.
Published: (2025)
Similar Items
-
Generating Pretraining Tokens from Organic Data for Data-Bound Scaling
by: Yu, Zichun, et al.
Published: (2026) -
ProxySPEX: Inference-Efficient Interpretability via Sparse Feature Interactions in LLMs
by: Butler, Landon, et al.
Published: (2025) -
AutoRule: Reasoning Chain-of-thought Extracted Rule-based Rewards Improve Preference Learning
by: Wang, Tevin, et al.
Published: (2025) -
Montessori-Instruct: Generate Influential Training Data Tailored for Student Learning
by: Li, Xiaochuan, et al.
Published: (2024) -
SPEX: Scaling Feature Interaction Explanations for LLMs
by: Kang, Justin Singh, et al.
Published: (2025)