On the Diversity of Analogy Making in Large Language Models

arXiv:2608.03233 · cs.CL · Submitted 2026-08-04 · Read on arXiv

Yuanhao Shen, Daniel Xavier de Sousa, Caio César Sifuentes Barcelos, Hongyu Guo, Xiaodan Zhu

cs.CL

Submitted: 2026-08-04

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Homogeneity — 14× in this paper · explained in 2 episodes
• Steering — 14× in this paper · explained in 2 episodes
• Clustering — 8× in this paper · explained in 2 episodes
• Transformer — 8× in this paper · explained in 2 episodes
• Embeddings — 7× in this paper · explained in 2 episodes
• Accuracy — 5× in this paper · explained in 1 episode
• Papers — 5× in this paper · explained in 3 episodes
• Language Models (LLMs) — 4× in this paper · explained in 2 episodes
• Pareto Frontier — 4× in this paper · explained in 2 episodes
• Transformers — 4× in this paper · explained in 2 episodes
• LLM-as-a-Judge — 3× in this paper · explained in 4 episodes
• Large Language Models (LLMs) — 3× in this paper · explained in 9 episodes
• Abstraction — 2× in this paper · explained in 1 episode
• Benchmarking — 2× in this paper · explained in 4 episodes
• Coherence — 2× in this paper · explained in 2 episodes
• Core — 2× in this paper · explained in 2 episodes
• Memorization — 2× in this paper · explained in 4 episodes
• Metaphoric Analogies — 2× in this paper
• Active Learning — 1× in this paper · explained in 6 episodes
• Benchmark — 1× in this paper · explained in 2 episodes
• Composition — 1× in this paper · explained in 2 episodes
• Decoupling — 1× in this paper · explained in 2 episodes
• Evaluation Dimensions — 1× in this paper · explained in 3 episodes
• Fine-Tuning — 1× in this paper · explained in 5 episodes
• Generative Model — 1× in this paper · explained in 2 episodes
• Generative Models — 1× in this paper · explained in 3 episodes
• Generator — 1× in this paper · explained in 2 episodes
• Interpretability — 1× in this paper · explained in 15 episodes
• Lexical Diversity — 1× in this paper · explained in 2 episodes
• Looped Transformers — 1× in this paper · explained in 2 episodes
• Mechanistic Interpretability — 1× in this paper · explained in 4 episodes
• Mode Collapse — 1× in this paper · explained in 2 episodes
• Objective Function — 1× in this paper · explained in 2 episodes
• Reinforcement Learning — 1× in this paper · explained in 4 episodes

Sources

• Eliciting Latent Predictions from Transformers with the Tuned Lens
• Modifying Large Language Model Post-Training for Diverse Creative Writing
• Unlocking LLM Creativity in Science through Analogical Reasoning
• Top-$n\sigma$: Not All Logits Are You Need
• Function Vectors in Large Language Models
• Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

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