Combating misinformation in the age of llms: Opportunities and challenges

C Chen, K Shu - AI Magazine, 2024 - Wiley Online Library
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 …

A review of large language models and autonomous agents in chemistry

MC Ramos, CJ Collison, AD White - Chemical Science, 2025 - pubs.rsc.org
Large language models (LLMs) have emerged as powerful tools in chemistry, significantly
impacting molecule design, property prediction, and synthesis optimization. This review …

Can Large Language Model Agents Simulate Human Trust Behavior?

C **e, C Chen, F Jia, Z Ye, S Lai… - Advances in neural …, 2025 - proceedings.neurips.cc
Abstract Large Language Model (LLM) agents have been increasingly adopted as
simulation tools to model humans in social science and role-playing applications. However …

Culturellm: Incorporating cultural differences into large language models

C Li, M Chen, J Wang, S Sitaram… - Advances in Neural …, 2025 - proceedings.neurips.cc
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 …

A survey on the memory mechanism of large language model based agents

Z Zhang, X Bo, C Ma, R Li, X Chen, Q Dai, J Zhu… - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

Bonbon alignment for large language models and the sweetness of best-of-n sampling

L Gui, C Gârbacea, V Veitch - Advances in Neural …, 2025 - proceedings.neurips.cc
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 …

Risk taxonomy, mitigation, and assessment benchmarks of large language model systems

T Cui, Y Wang, C Fu, Y **ao, S Li, X Deng, Y Liu… - arxiv preprint arxiv …, 2024 - arxiv.org
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 …

Trial and error: Exploration-based trajectory optimization for llm agents

Y Song, D Yin, X Yue, J Huang, S Li, BY Lin - arxiv preprint arxiv …, 2024 - arxiv.org
Large Language Models (LLMs) have become integral components in various autonomous
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 …

Towards lifelong learning of large language models: A survey

J Zheng, S Qiu, C Shi, Q Ma - ACM Computing Surveys, 2024 - dl.acm.org
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 …