Picture for Rahul Thapa

Rahul Thapa

Dragonfly: Multi-Resolution Zoom Supercharges Large Visual-Language Model

Add code
Jun 03, 2024
Viaarxiv icon

SleepFM: Multi-modal Representation Learning for Sleep Across Brain Activity, ECG and Respiratory Signals

Add code
May 28, 2024
Viaarxiv icon

Standing on FURM ground -- A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems

Add code
Mar 14, 2024
Figure 1 for Standing on FURM ground -- A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems
Figure 2 for Standing on FURM ground -- A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems
Figure 3 for Standing on FURM ground -- A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems
Figure 4 for Standing on FURM ground -- A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems
Viaarxiv icon

OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models

Add code
Feb 29, 2024
Figure 1 for OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models
Figure 2 for OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models
Figure 3 for OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models
Figure 4 for OpenMedLM: Prompt engineering can out-perform fine-tuning in medical question-answering with open-source large language models
Viaarxiv icon

MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records

Add code
Aug 27, 2023
Figure 1 for MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
Figure 2 for MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
Figure 3 for MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
Figure 4 for MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
Viaarxiv icon

EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models

Add code
Jul 05, 2023
Figure 1 for EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
Figure 2 for EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
Figure 3 for EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
Figure 4 for EHRSHOT: An EHR Benchmark for Few-Shot Evaluation of Foundation Models
Viaarxiv icon

Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery

Add code
May 01, 2023
Figure 1 for Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery
Figure 2 for Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery
Figure 3 for Evaluation of GPT-3.5 and GPT-4 for supporting real-world information needs in healthcare delivery
Viaarxiv icon

The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs

Add code
Mar 24, 2023
Figure 1 for The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs
Figure 2 for The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs
Figure 3 for The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs
Figure 4 for The Shaky Foundations of Clinical Foundation Models: A Survey of Large Language Models and Foundation Models for EMRs
Viaarxiv icon

DEPLOYR: A technical framework for deploying custom real-time machine learning models into the electronic medical record

Add code
Mar 11, 2023
Figure 1 for DEPLOYR: A technical framework for deploying custom real-time machine learning models into the electronic medical record
Figure 2 for DEPLOYR: A technical framework for deploying custom real-time machine learning models into the electronic medical record
Figure 3 for DEPLOYR: A technical framework for deploying custom real-time machine learning models into the electronic medical record
Figure 4 for DEPLOYR: A technical framework for deploying custom real-time machine learning models into the electronic medical record
Viaarxiv icon

HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing

Add code
May 26, 2021
Figure 1 for HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing
Figure 2 for HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing
Figure 3 for HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing
Figure 4 for HDXplore: Automated Blackbox Testing of Brain-Inspired Hyperdimensional Computing
Viaarxiv icon