Mean-difference residual stream injections outperform personality prompting for OCEAN trait steering in most LLMs, with hybrids performing best and showing approximate linearity but non-human trait covariances.
Diab, and Maarten Sap
4 Pith papers cite this work, alongside 7 external citations. Polarity classification is still indexing.
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Composable LoRA adapters can amplify or suppress OCEAN traits in LLMs, combine approximately additively, preserve moderate-scale capability, and move safety-relevant behaviours.
A literature review concludes that pursuing consensus in data annotation creates biased AI by dismissing subjective disagreements and enforcing geographic hegemony, and proposes mapping diversity instead.
A theory-grounded taxonomy of eight communication roles enables scalable annotation via LLMs and outperforms baselines when predicting peer recognition in student teams and performance improvement on a public deliberation dataset.
citing papers explorer
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Psychological Steering of Large Language Models
Mean-difference residual stream injections outperform personality prompting for OCEAN trait steering in most LLMs, with hybrids performing best and showing approximate linearity but non-human trait covariances.
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Persona Cartography: Charting Language Model Personality Traits in Weight Space
Composable LoRA adapters can amplify or suppress OCEAN traits in LLMs, combine approximately additively, preserve moderate-scale capability, and move safety-relevant behaviours.
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The Consensus Trap: Dissecting Subjectivity and the "Ground Truth" Illusion in Data Annotation
A literature review concludes that pursuing consensus in data annotation creates biased AI by dismissing subjective disagreements and enforcing geographic hegemony, and proposes mapping diversity instead.
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Who Plays Which Role When? Communication Role Dynamics for Peer Recognition and Team Performance Prediction
A theory-grounded taxonomy of eight communication roles enables scalable annotation via LLMs and outperforms baselines when predicting peer recognition in student teams and performance improvement on a public deliberation dataset.