DrHouse: An LLM-empowered diagnostic reasoning system through harnessing outcomes from sensor data and expert knowledge
Large language models (LLMs) have the potential to transform digital healthcare, as
evidenced by recent advances in LLM-based virtual doctors. However, current approaches …
evidenced by recent advances in LLM-based virtual doctors. However, current approaches …
Mmedagent: Learning to use medical tools with multi-modal agent
Multi-Modal Large Language Models (MLLMs), despite being successful, exhibit limited
generality and often fall short when compared to specialized models. Recently, LLM-based …
generality and often fall short when compared to specialized models. Recently, LLM-based …
A Preliminary Study of o1 in Medicine: Are We Closer to an AI Doctor?
Large language models (LLMs) have exhibited remarkable capabilities across various
domains and tasks, pushing the boundaries of our knowledge in learning and cognition. The …
domains and tasks, pushing the boundaries of our knowledge in learning and cognition. The …
Electionsim: Massive population election simulation powered by large language model driven agents
The massive population election simulation aims to model the preferences of specific groups
in particular election scenarios. It has garnered significant attention for its potential to …
in particular election scenarios. It has garnered significant attention for its potential to …
Medco: Medical education copilots based on a multi-agent framework
Large language models (LLMs) have had a significant impact on diverse research domains,
including medicine and healthcare. However, the potential of LLMs as copilots in medical …
including medicine and healthcare. However, the potential of LLMs as copilots in medical …
Medchain: Bridging the Gap Between LLM Agents and Clinical Practice through Interactive Sequential Benchmarking
Clinical decision making (CDM) is a complex, dynamic process crucial to healthcare
delivery, yet it remains a significant challenge for artificial intelligence systems. While Large …
delivery, yet it remains a significant challenge for artificial intelligence systems. While Large …
CPS-TaskForge: Generating Collaborative Problem Solving Environments for Diverse Communication Tasks
Teams can outperform individuals; could adding AI teammates further bolster performance
of teams solving problems collaboratively? Collaborative problem solving (CPS) research …
of teams solving problems collaboratively? Collaborative problem solving (CPS) research …
From Individual to Society: A Survey on Social Simulation Driven by Large Language Model-based Agents
Traditional sociological research often relies on human participation, which, though
effective, is expensive, challenging to scale, and with ethical concerns. Recent …
effective, is expensive, challenging to scale, and with ethical concerns. Recent …
Knowledge-to-Jailbreak: One Knowledge Point Worth One Attack
Large language models (LLMs) have been increasingly applied to various domains, which
triggers increasing concerns about LLMs' safety on specialized domains, eg medicine …
triggers increasing concerns about LLMs' safety on specialized domains, eg medicine …
Beyond ESM2: Graph-Enhanced Protein Sequence Modeling with Efficient Clustering
Proteins are essential to life's processes, underpinning evolution and diversity. Advances in
sequencing technology have revealed millions of proteins, underscoring the need for …
sequencing technology have revealed millions of proteins, underscoring the need for …