CancerLLM: a large language model in cancer domain - npj Digital Medicine - Nature
<a href="https://news.google.com/rss/articles/CBMiX0FVX3lxTE1WaVpBQ2o5ZWdBdC1vVTlITXAyZDZnUGVFdmNfRHZPcUFaYXBNUXhSSDk0Q0pZTENKb1NWZGtULTVRdU9zZUR5a0ZPNktpQl9fbUxNZ2J0dWkxc0lwVjFz?oc=5" target="_blank">CancerLLM: a large language model in cancer domain - npj Digital Medicine</a> <font color="#6f6f6f">Nature</font>
Could not retrieve the full article text.
Read on Google News: LLM →Sign in to highlight and annotate this article
Conversation starters
Daily AI Digest
Get the top 5 AI stories delivered to your inbox every morning.
More about
modellanguage model
A Map of Exploring Human Interaction patterns with LLM: Insights into Collaboration and Creativity
arXiv:2404.04570v2 Announce Type: replace Abstract: The outstanding performance capabilities of large language model have driven the evolution of current AI system interaction patterns. This has led to considerable discussion within the Human-AI Interaction (HAII) community. Numerous studies explore this interaction from technical, design, and empirical perspectives. However, the majority of current literature reviews concentrate on interactions across the wider spectrum of AI, with limited attention given to the specific realm of interaction with LLM. We searched for articles on human interaction with LLM, selecting 110 relevant publications meeting consensus definition of Human-AI interaction. Subsequently, we developed a comprehensive Mapping Procedure, structured in five distinct stage
StretchBot: A Neuro-Symbolic Framework for Adaptive Guidance with Assistive Robots
arXiv:2604.00628v1 Announce Type: cross Abstract: Assistive robots have growing potential to support physical wellbeing in home and healthcare settings, for example, by guiding users through stretching or rehabilitation routines. However, existing systems remain largely scripted, which limits their ability to adapt to user state, environmental context, and interaction dynamics. In this work, we present StretchBot, a hybrid neuro-symbolic robotic coach for adaptive assistive guidance. The system combines multimodal perception with knowledge-graph-grounded large language model reasoning to support context-aware adjustments during short stretching sessions while maintaining a structured routine. To complement the system description, we report an exploratory pilot comparison between scripted a
Knowledge Map
Connected Articles — Knowledge Graph
This article is connected to other articles through shared AI topics and tags.
More in Models
How Ukraine became a drone factory and invented the future of war
Ukraine has responded to a war it didn’t start by creating an industry it doesn’t want, but could the nation s drone expertise help it rebuild? To learn more, New Scientist gained exclusive access to the research labs, factories and military training schools behind Ukraine’s drones
Discussion
Sign in to join the discussion
No comments yet — be the first to share your thoughts!