Thinking Outside the Bots: Human Ideas in AI's Semantic Blind Spots Are Not Inferior
cs.CL, cs.AI, cs.CY
Submitted: 2026-10-12
Updated: 2026-10-12
License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
Sources
- Is Convergence Inevitable? Tracing Output Homogeneity Back to Base Models
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- Understanding the Effects of RLHF on LLM Generalisation and Diversity
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- Diverse Preference Optimization
- Is Temperature the Creativity Parameter of Large Language Models?
- Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models
- GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embedding Fine-tuning
- MPNet: Masked and Permuted Pre-training for Language Understanding
- We're Different, We're the Same: Creative Homogeneity Across LLMs
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