LLMs generally fail to maintain stable worldviews under adversarial conversational pressure, indicating they lack core beliefs akin to those in human cognition.
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3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
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2026 3verdicts
UNVERDICTED 3representative citing papers
A multi-agent orchestration framework automates VC due diligence using LLMs, web retrieval, and a programmatic pipeline to extract and parse official Greek business registry filings while flagging data gaps.
A transition graph model with utility and evidence counts learns behaviors from state history and feedback, showing performance comparable to neural networks on Atari Breakout.
citing papers explorer
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Do LLMs have core beliefs?
LLMs generally fail to maintain stable worldviews under adversarial conversational pressure, indicating they lack core beliefs akin to those in human cognition.
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A Multi-Agent Orchestration Framework for Venture Capital Due Diligence
A multi-agent orchestration framework automates VC due diligence using LLMs, web retrieval, and a programmatic pipeline to extract and parse official Greek business registry filings while flagging data gaps.
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Interpretable experiential learning based on state history and global feedback
A transition graph model with utility and evidence counts learns behaviors from state history and feedback, showing performance comparable to neural networks on Atari Breakout.