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 …

Pre-trained language models for text generation: A survey

J Li, T Tang, WX Zhao, JY Nie, JR Wen - ACM Computing Surveys, 2024 - dl.acm.org
Text Generation aims to produce plausible and readable text in human language from input
data. The resurgence of deep learning has greatly advanced this field, in particular, with the …

Holistic evaluation of language models

P Liang, R Bommasani, T Lee, D Tsipras… - arxiv preprint arxiv …, 2022 - arxiv.org
Language models (LMs) are becoming the foundation for almost all major language
technologies, but their capabilities, limitations, and risks are not well understood. We present …

[PDF][PDF] Agentverse: Facilitating multi-agent collaboration and exploring emergent behaviors in agents

W Chen, Y Su, J Zuo, C Yang… - arxiv preprint …, 2023 - … .itic-sci.com
Autonomous agents empowered by Large Language Models (LLMs) have undergone
significant improvements, enabling them to generalize across a broad spectrum of tasks …

Reasoning with language model prompting: A survey

S Qiao, Y Ou, N Zhang, X Chen, Y Yao, S Deng… - arxiv preprint arxiv …, 2022 - arxiv.org
Reasoning, as an essential ability for complex problem-solving, can provide back-end
support for various real-world applications, such as medical diagnosis, negotiation, etc. This …

Self-evaluation guided beam search for reasoning

Y **e, K Kawaguchi, Y Zhao, JX Zhao… - Advances in …, 2023 - proceedings.neurips.cc
Breaking down a problem into intermediate steps has demonstrated impressive
performance in Large Language Model (LLM) reasoning. However, the growth of the …

Logic-lm: Empowering large language models with symbolic solvers for faithful logical reasoning

L Pan, A Albalak, X Wang, WY Wang - arxiv preprint arxiv:2305.12295, 2023 - arxiv.org
Large Language Models (LLMs) have shown human-like reasoning abilities but still struggle
with complex logical problems. This paper introduces a novel framework, Logic-LM, which …

Exploring collaboration mechanisms for llm agents: A social psychology view

J Zhang, X Xu, N Zhang, R Liu, B Hooi… - arxiv preprint arxiv …, 2023 - arxiv.org
As Natural Language Processing (NLP) systems are increasingly employed in intricate
social environments, a pressing query emerges: Can these NLP systems mirror human …

Natural language reasoning, a survey

F Yu, H Zhang, P Tiwari, B Wang - ACM Computing Surveys, 2024 - dl.acm.org
This survey article proposes a clearer view of Natural Language Reasoning (NLR) in the
field of Natural Language Processing (NLP), both conceptually and practically …

Can Generative AI improve social science?

CA Bail - Proceedings of the National Academy of Sciences, 2024 - National Acad Sciences
Generative AI that can produce realistic text, images, and other human-like outputs is
currently transforming many different industries. Yet it is not yet known how such tools might …