Language Model Maps for Prompt-Response Distributions via Log-Likelihood Vectors

arXiv:2603.18593 · cs.CL · Submitted 2026-03-19 · Read on arXiv

cs.CL

Submitted: 2026-03-19

Updated: 2026-09-02

Terminology

• Embeddings — 6× in this paper · explained in 2 episodes
• Pointwise Mutual Information (PMI) — 3× in this paper · explained in 3 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Clustering — 2× in this paper · explained in 2 episodes
• Distillation — 1× in this paper · explained in 2 episodes
• Homogeneity — 1× in this paper · explained in 2 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes
• Resource Constraints — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Vector Representations — 1× in this paper · explained in 2 episodes

Sources

• Establishing a Scale for Kullback-Leibler Divergence in Language Models Across Various Settings
• Prompt Repetition Improves Non-Reasoning LLMs
• Infinity Instruct: Scaling Instruction Selection and Synthesis to Enhance Language Models

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