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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 …
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 …
of multimodal content in social media communities, multimodal fake news detection has …
Knowledge engineering using large language models
Knowledge engineering is a discipline that focuses on the creation and maintenance of
processes that generate and apply knowledge. Traditionally, knowledge engineering …
processes that generate and apply knowledge. Traditionally, knowledge engineering …
LLM4SR: A Survey on Large Language Models for Scientific Research
In recent years, the rapid advancement of Large Language Models (LLMs) has transformed
the landscape of scientific research, offering unprecedented support across various stages …
the landscape of scientific research, offering unprecedented support across various stages …
Language models as inductive reasoners
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 …
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 …
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
Logical reasoning consistently plays a fundamental and significant role in the domains of
knowledge engineering and artificial intelligence. Recently, Large Language Models (LLMs) …
knowledge engineering and artificial intelligence. Recently, Large Language Models (LLMs) …
RECKONING: reasoning through dynamic knowledge encoding
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 …
questions by reasoning over knowledge provided as part of the context (ie, in-context …
Large language models for automated open-domain scientific hypotheses discovery
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 …
observations about the world and try to propose hypotheses to explain those observations …
MOOSE-Chem: Large Language Models for Rediscovering Unseen Chemistry Scientific Hypotheses
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 …
shows that LLMs could potentially catalyze this process. However, it is still unclear whether …