A conceptual argument that LLM chatbots simulate only a reduced, 'onward' form of thinking and cannot be scaled into reliable analytical thinking partners.
Text summarization using large language models: A comparative study of mpt-7b-instruct, falcon- 7b-instruct, and openai chat-gpt models,
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
years
2026 2verdicts
REJECT 2representative citing papers
A multi-model selection framework that picks the best of three summaries by averaged lexical/semantic scores; the headline performance claims are contradicted by the paper's own tables.
citing papers explorer
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Some hypotheses on how chatbots work in problem-solving-driven conversations. Large Language Models as confirmation of the Innovation Illusion
A conceptual argument that LLM chatbots simulate only a reduced, 'onward' form of thinking and cannot be scaled into reliable analytical thinking partners.
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A Multi-Model Metric-based Selection Framework for Abstractive Text summarization
A multi-model selection framework that picks the best of three summaries by averaged lexical/semantic scores; the headline performance claims are contradicted by the paper's own tables.