amir9979 / reading_list

my simple reading list
0 stars 0 forks source link

clinical question answering "large language models" - new results #1392

Open fire-bot opened 6 months ago

fire-bot commented 6 months ago

Sent by Google Scholar Alerts (scholaralerts-noreply@google.com). Created by fire.


[PDF] Evaluating large language models in medical applications: a survey

X Chen, J Xiang, S Lu, Y Liu, M He, D Shi - arXiv preprint arXiv:2405.07468, 2024

… This trend highlights the importance of evaluating and benchmarking large
language models tailored specifically for medical applications.Such … Towards
expert-level medical question answering with large language models. arXiv preprint …

Save Twitter LinkedIn Facebook

Heterogeneous Knowledge Grounding for Medical Question Answering with Retrieval Augmented Large Language Model

W Zhao, Z Deng, S Yadav, PS Yu - Companion Proceedings of the ACM on Web …, 2024

… of answer reasoning, we formulate the medical question answering as an answer
generation task. Given an input question (it can include the question … in our
method to investigate the effectiveness of retrieval for medical question - answer

Save Twitter LinkedIn Facebook

[PDF] Mitigating Hallucinations in Large Language Models via Self-Refinement-Enhanced Knowledge Retrieval

M Niu, H Li, J Shi, H Haddadi, F Mo - arXiv preprint arXiv:2405.06545, 2024

Large Language Models (LLMs) have demonstrated remarkable proficiency in
generative tasks, where the question - answering (QA) … Beamqa: Multi-hop knowledge
graph question answering with sequence-to-sequence prediction and beam search …

Save Twitter LinkedIn Facebook

[PDF] MedConceptsQA--Open Source Medical Concepts QA Benchmark

OB Shoham, N Rappoport - arXiv preprint arXiv:2405.07348, 2024

… We present MedConceptsQA, a dedicated open source benchmark for medical
concepts question answering. The benchmark … -trained clinical Large Language
Models achieved accuracy levels close to random guessing on this benchmark …

Save Twitter LinkedIn Facebook

[PDF] ChatSOS: Vector Database Augmented Generative Question Answering Assistant in Safety Engineering

H Tang, D Chen, Q Chu - arXiv preprint arXiv:2405.06699, 2024

… 2.3 Large Language Models This study conducts comparative experiments using
three LLMs: ChatGPT by OpenAI, ERNIE Bot by Baidu, and ChatSOS proposed in
this paper. In these experiments, ChatSOS utilized APIs to connect with the GPT-3.5-Turbo …

Save Twitter LinkedIn Facebook

[PDF] AgentClinic: a multimodal agent benchmark to evaluate AI in simulated clinical environments

S Schmidgall, R Ziaei, C Harris, E Reis, J Jopling… - arXiv preprint arXiv …, 2024

large language models (LLMs) promise to profoundly impact clinical care.
However, current evaluation schemes overrely on static medical question - answering
Medmcqa: A large-scale multi-subject multi-choice dataset for medical domain …

Save Twitter LinkedIn Facebook

[PDF] Human-Algorithmic Interaction Using a Large Language Model-Augmented Artificial Intelligence Clinical Decision Support System

NC Rajashekar, YE Shin, Y Pu, S Chung, K You… - Proceedings of the CHI …, 2024

… , large language models (LLMs) have emerged as systems with potential to aid
clinical decision-making. Recent exploratory studies have assessed LLMs’ ability to
answer clinical questions … for two tasks: guideline-based question answering and …

Save Twitter LinkedIn Facebook

[PDF] XAI4LLM. Let Machine Learning Models and LLMs Collaborate for Enhanced In-Context Learning in Healthcare

F Nazary, Y Deldjoo, T Di Noia, E di Sciascio - arXiv preprint arXiv:2405.06270, 2024

… (CoT) reasoning in LLMs for medical question answering , a technique that is also …
clinical settings, aiming to utilize the vast capabilities of pretrained Large Language
Models (pLLMs) endowed with billion-scale parameters. This strategy seeks to …

Save Twitter LinkedIn Facebook

[PDF] A Generalist Learner for Multifaceted Medical Image Interpretation

HY Zhou, S Adithan, JN Acosta, EJ Topol, P Rajpurkar - arXiv preprint arXiv …, 2024

… previous medical foundation models, offering a new perspective of integrating
large language models into generative multimodal medical AI. … Since open-ended
visual question answering is our main focus, we reduced the number of yes/no …

Save Twitter LinkedIn Facebook

Enabling Multi-modal Conversational Interface for Clinical Imaging

K Dayanandan, B Lall - Extended Abstracts of the CHI Conference on Human …, 2024

… for safety-critical clinical systems is currently absent. Medical Report Generation
and Visual question answering for medical imaging are … systems, explanations as
in medical reports, and additional information incorporated using large language

Save Twitter LinkedIn Facebook

This message was sent by Google Scholar because you're following new results for [clinical question answering "large language models"].

List alerts

Cancel alert

LeoYML commented 3 months ago

I am excited to discover the amazing project you have developed. Please feel free to visit our previously published paper, ClinicalAgent rather than AgentClinic [https://arxiv.org/abs/2404.14777], which was published on April 23, 2024. We look forward to your suggestions and feedback. If you have any ideas and would like to collaborate with us, you are welcome.