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Combating misinformation in the age of llms: Opportunities and challenges
Misinformation such as fake news and rumors is a serious threat for information ecosystems
and public trust. The emergence of large language models (LLMs) has great potential to …
and public trust. The emergence of large language models (LLMs) has great potential to …
A review of large language models and autonomous agents in chemistry
Large language models (LLMs) have emerged as powerful tools in chemistry, significantly
impacting molecule design, property prediction, and synthesis optimization. This review …
impacting molecule design, property prediction, and synthesis optimization. This review …
Can Large Language Model Agents Simulate Human Trust Behavior?
Abstract Large Language Model (LLM) agents have been increasingly adopted as
simulation tools to model humans in social science and role-playing applications. However …
simulation tools to model humans in social science and role-playing applications. However …
Culturellm: Incorporating cultural differences into large language models
Large language models (LLMs) have been observed to exhibit bias towards certain cultures
due to the predominance of training data obtained from English corpora. Considering that …
due to the predominance of training data obtained from English corpora. Considering that …
A survey on the memory mechanism of large language model based agents
Large language model (LLM) based agents have recently attracted much attention from the
research and industry communities. Compared with original LLMs, LLM-based agents are …
research and industry communities. Compared with original LLMs, LLM-based agents are …
Bonbon alignment for large language models and the sweetness of best-of-n sampling
This paper concerns the problem of aligning samples from large language models to human
preferences using* best-of-$ n $* sampling, where we draw $ n $ samples, rank them, and …
preferences using* best-of-$ n $* sampling, where we draw $ n $ samples, rank them, and …
Risk taxonomy, mitigation, and assessment benchmarks of large language model systems
Large language models (LLMs) have strong capabilities in solving diverse natural language
processing tasks. However, the safety and security issues of LLM systems have become the …
processing tasks. However, the safety and security issues of LLM systems have become the …
Trial and error: Exploration-based trajectory optimization for llm agents
Large Language Models (LLMs) have become integral components in various autonomous
agent systems. In this study, we present an exploration-based trajectory optimization …
agent systems. In this study, we present an exploration-based trajectory optimization …
Explainable generative ai (genxai): A survey, conceptualization, and research agenda
J Schneider - Artificial Intelligence Review, 2024 - Springer
Generative AI (GenAI) represents a shift from AI's ability to “recognize” to its ability to
“generate” solutions for a wide range of tasks. As generated solutions and applications grow …
“generate” solutions for a wide range of tasks. As generated solutions and applications grow …
Towards lifelong learning of large language models: A survey
As the applications of large language models (LLMs) expand across diverse fields, their
ability to adapt to ongoing changes in data, tasks, and user preferences becomes crucial …
ability to adapt to ongoing changes in data, tasks, and user preferences becomes crucial …