A 2x2 factorial experiment on Qwen3.5-4B shows that relational structure and first-person register interact to drive behavioral persistence after functional collapse, while attention tracks lexical surprise and emotion probes track structure alone.
Xuena Wang, Xueting Li, Zi Yin, Yue Wu, and Liu Jia
3 Pith papers cite this work. Polarity classification is still indexing.
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Pith papers citing it
years
2026 3verdicts
UNVERDICTED 3representative citing papers
Positive emotional prompts improve LLM accuracy and reduce toxicity but increase sycophantic agreement, while negative emotions show the reverse pattern.
Case study of 12 LLM agent pairs on Fibonacci game development finds only DeepSeek-R1:DeepSeek-R1 converges correctly from the first iteration while others either diverge or fail to converge.
citing papers explorer
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Relational Intervention During Functional Collapse in Large Language Models: A Lexical-Statistical Ablation and a Structure x Register Factorial
A 2x2 factorial experiment on Qwen3.5-4B shows that relational structure and first-person register interact to drive behavioral persistence after functional collapse, while attention tracks lexical surprise and emotion probes track structure alone.
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The Role of Emotional Stimuli and Intensity in Shaping Large Language Model Behavior
Positive emotional prompts improve LLM accuracy and reduce toxicity but increase sycophantic agreement, while negative emotions show the reverse pattern.
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Understanding Conversational Patterns in Multi-agent Programming: A Case Study on Fibonacci Game Development
Case study of 12 LLM agent pairs on Fibonacci game development finds only DeepSeek-R1:DeepSeek-R1 converges correctly from the first iteration while others either diverge or fail to converge.