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 …

MFIR: Multimodal fusion and inconsistency reasoning for explainable fake news detection

L Wu, Y Long, C Gao, Z Wang, Y Zhang - Information Fusion, 2023 - Elsevier
Fake news possesses a destructive and negative impact on our lives. With the rapid growth
of multimodal content in social media communities, multimodal fake news detection has …

Knowledge engineering using large language models

BP Allen, L Stork, P Groth - arxiv preprint arxiv:2310.00637, 2023 - arxiv.org
Knowledge engineering is a discipline that focuses on the creation and maintenance of
processes that generate and apply knowledge. Traditionally, knowledge engineering …

LLM4SR: A Survey on Large Language Models for Scientific Research

Z Luo, Z Yang, Z Xu, W Yang, X Du - arxiv preprint arxiv:2501.04306, 2025 - arxiv.org
In recent years, the rapid advancement of Large Language Models (LLMs) has transformed
the landscape of scientific research, offering unprecedented support across various stages …

Language models as inductive reasoners

Z Yang, L Dong, X Du, H Cheng, E Cambria… - arxiv preprint arxiv …, 2022 - arxiv.org
Inductive reasoning is a core component of human intelligence. In the past research of
inductive reasoning within computer science, formal language is used as representations of …

Assessing question characteristic influences on ChatGPT's performance and response-explanation consistency: Insights from Taiwan's Nursing Licensing Exam

MC Su, LE Lin, LH Lin, YC Chen - International Journal of Nursing Studies, 2024 - Elsevier
Background Investigates the integration of an artificial intelligence tool, specifically
ChatGPT, in nursing education, addressing its effectiveness in exam preparation and self …

Are large language models really good logical reasoners? a comprehensive evaluation and beyond

F Xu, Q Lin, J Han, T Zhao, J Liu… - IEEE Transactions on …, 2025 - ieeexplore.ieee.org
Logical reasoning consistently plays a fundamental and significant role in the domains of
knowledge engineering and artificial intelligence. Recently, Large Language Models (LLMs) …

RECKONING: reasoning through dynamic knowledge encoding

Z Chen, G Weiss, E Mitchell… - Advances in Neural …, 2023 - proceedings.neurips.cc
Recent studies on transformer-based language models show that they can answer
questions by reasoning over knowledge provided as part of the context (ie, in-context …

Large language models for automated open-domain scientific hypotheses discovery

Z Yang, X Du, J Li, J Zheng, S Poria… - arxiv preprint arxiv …, 2023 - arxiv.org
Hypothetical induction is recognized as the main reasoning type when scientists make
observations about the world and try to propose hypotheses to explain those observations …

MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses

Z Yang, W Liu, B Gao, T **e, Y Li, W Ouyang… - arxiv preprint arxiv …, 2024 - arxiv.org
Scientific discovery contributes largely to human society's prosperity, and recent progress
shows that LLMs could potentially catalyze this process. However, it is still unclear whether …