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 …
Pre-trained language models for text generation: A survey
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 …
data. The resurgence of deep learning has greatly advanced this field, in particular, with the …
Holistic evaluation of language models
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 …
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
Autonomous agents empowered by Large Language Models (LLMs) have undergone
significant improvements, enabling them to generalize across a broad spectrum of tasks …
significant improvements, enabling them to generalize across a broad spectrum of tasks …
Reasoning with language model prompting: A survey
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 …
support for various real-world applications, such as medical diagnosis, negotiation, etc. This …
Self-evaluation guided beam search for reasoning
Breaking down a problem into intermediate steps has demonstrated impressive
performance in Large Language Model (LLM) reasoning. However, the growth of the …
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
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 …
with complex logical problems. This paper introduces a novel framework, Logic-LM, which …
Exploring collaboration mechanisms for llm agents: A social psychology view
As Natural Language Processing (NLP) systems are increasingly employed in intricate
social environments, a pressing query emerges: Can these NLP systems mirror human …
social environments, a pressing query emerges: Can these NLP systems mirror human …
Natural language reasoning, a survey
This survey article proposes a clearer view of Natural Language Reasoning (NLR) in the
field of Natural Language Processing (NLP), both conceptually and practically …
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 …
currently transforming many different industries. Yet it is not yet known how such tools might …