SperanzaMax/Cortex-Nexus-Emotions-3k
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---
license: cc-by-4.0
task_categories:
- text-generation
language:
- en
tags:
- llm
- prompt-engineering
- emotional-prompting
- wilcoxon
- nlp
size_categories:
- 1K<n<10K
---
# Cortex-Nexus: Emotional Prompting Experiment Dataset
**3,600+ cycles** of double-blind emotional prompting experiments on large language models (Llama-3-70B).
## Key Findings
- Injecting **Curiosity (0.95) + Frustration (0.20)** significantly improves output quality on **philosophical/exploratory tasks** (p=0.022, d=0.263)
- The **exact same configuration** significantly **degrades** performance on **technical/deterministic tasks** - a perfect negative control
- **"Confidence" injection** does not affect semantic quality, but produces 4x more linguistic hedging (Two-Layer Model)
## Two-Layer Model of LLM Emotional Simulation
| Layer | Mechanism | Affected by |
|-------|-----------|-------------|
| Semantic Quality | Content accuracy/depth | Curiosity, Frustration |
| Epistemic Style | Hedging, certainty markers | Confidence |
## Dataset Files
- `cortex_nexus_APA7.pdf` - Full academic paper (APA7 format)
- `cycles_optimo_combinado.jsonl` - Optimal emotion config results (Curiosity + Frustration)
- `cycles_tecnico_combinado.jsonl` - Technical domain results (negative control)
- `cycles_asombro_combinado.jsonl` - Awe/Wonder emotion results
## Experimental Setup
- **Models**: Llama-3.3-70B (experimental agent), Mistral-Nemo (judge), Meta-Llama-3-8B (baseline)
- **API**: NVIDIA NIM
- **Architecture**: Double-blind, 3-agent system with LLM-as-a-Judge scoring
- **Validation**: Wilcoxon signed-rank tests (alpha=0.05)
- **Cycles**: 3,600+ total experimental cycles
## Citation
```bibtex
@misc{speranza2025cortexnexus,
title={Cortex-Nexus: Injection of Simulated Emotional States in Large Language Models},
author={Speranza, Maximiliano Rodrigo},
year={2025},
note={Dataset and code: https://github.com/SperanzaMax/Cortex-Nexus}
}
```
## Related Links
- GitHub Repository: https://github.com/SperanzaMax/Cortex-Nexus
- License: CC-BY 4.0
提供机构:
SperanzaMax



