Large language models in medicine

AJ Thirunavukarasu, DSJ Ting, K Elangovan… - Nature medicine, 2023 - nature.com
Large language models (LLMs) can respond to free-text queries without being specifically
trained in the task in question, causing excitement and concern about their use in healthcare …

A comprehensive overview of large language models

H Naveed, AU Khan, S Qiu, M Saqib, S Anwar… - arxiv preprint arxiv …, 2023 - arxiv.org
Large Language Models (LLMs) have recently demonstrated remarkable capabilities in
natural language processing tasks and beyond. This success of LLMs has led to a large …

Judging llm-as-a-judge with mt-bench and chatbot arena

L Zheng, WL Chiang, Y Sheng… - Advances in …, 2024 - proceedings.neurips.cc
Evaluating large language model (LLM) based chat assistants is challenging due to their
broad capabilities and the inadequacy of existing benchmarks in measuring human …

A survey of large language models

WX Zhao, K Zhou, J Li, T Tang, X Wang, Y Hou… - arxiv preprint arxiv …, 2023 - arxiv.org
Language is essentially a complex, intricate system of human expressions governed by
grammatical rules. It poses a significant challenge to develop capable AI algorithms for …

[PDF][PDF] Qwen-vl: A versatile vision-language model for understanding, localization, text reading, and beyond

J Bai, S Bai, S Yang, S Wang… - arxiv preprint …, 2023 - storage.prod.researchhub.com
In this work, we introduce the Qwen-VL series, a set of large-scale vision-language models
(LVLMs) designed to perceive and understand both texts and images. Starting from the …

Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

G Team, P Georgiev, VI Lei, R Burnell, L Bai… - arxiv preprint arxiv …, 2024 - arxiv.org
In this report, we introduce the Gemini 1.5 family of models, representing the next generation
of highly compute-efficient multimodal models capable of recalling and reasoning over fine …

Video-llava: Learning united visual representation by alignment before projection

B Lin, Y Ye, B Zhu, J Cui, M Ning, P **… - arxiv preprint arxiv …, 2023 - arxiv.org
The Large Vision-Language Model (LVLM) has enhanced the performance of various
downstream tasks in visual-language understanding. Most existing approaches encode …

Are aligned neural networks adversarially aligned?

N Carlini, M Nasr… - Advances in …, 2024 - proceedings.neurips.cc
Large language models are now tuned to align with the goals of their creators, namely to be"
helpful and harmless." These models should respond helpfully to user questions, but refuse …

Qwen technical report

J Bai, S Bai, Y Chu, Z Cui, K Dang, X Deng… - arxiv preprint arxiv …, 2023 - arxiv.org
Large language models (LLMs) have revolutionized the field of artificial intelligence,
enabling natural language processing tasks that were previously thought to be exclusive to …

Evaluation and mitigation of the limitations of large language models in clinical decision-making

P Hager, F Jungmann, R Holland, K Bhagat… - Nature medicine, 2024 - nature.com
Clinical decision-making is one of the most impactful parts of a physician's responsibilities
and stands to benefit greatly from artificial intelligence solutions and large language models …