Same Text, Different Numbers: The Divergence of LLM-Based Measures

arXiv:2609.31013 · cs.AI, cs.CL, q-fin.GN, q-fin.RM · Submitted 2026-09-25 · Read on arXiv

cs.AI, cs.CL, q-fin.GN, q-fin.RM

Submitted: 2026-09-25

Updated: 2026-09-25

Terminology

Benchmark — 14× in this paper · explained in 2 episodes
Generalizability — 8× in this paper · explained in 6 episodes
Alignment — 7× in this paper · explained in 1 episode
Calibration — 4× in this paper · explained in 7 episodes
Cosine Similarity — 4× in this paper · explained in 3 episodes
Aggregation — 3× in this paper · explained in 1 episode
Generative AI — 3× in this paper · explained in 2 episodes
Scaffolding — 3× in this paper · explained in 3 episodes
alpha — 3× in this paper · explained in 1 episode
AI Agents — 2× in this paper · explained in 2 episodes
Consistency — 2× in this paper · explained in 3 episodes
Core — 2× in this paper · explained in 2 episodes
Large Language Models (LLMs) — 2× in this paper · explained in 6 episodes
Semantic Similarity — 2× in this paper · explained in 2 episodes
Trace — 2× in this paper · explained in 2 episodes
Accuracy — 1× in this paper · explained in 1 episode
Agentic System — 1× in this paper · explained in 2 episodes
Clustering — 1× in this paper · explained in 2 episodes
Commentary — 1× in this paper · explained in 2 episodes
Embeddings — 1× in this paper · explained in 2 episodes
External Validation — 1× in this paper · explained in 2 episodes
Grounding — 1× in this paper · explained in 3 episodes
Quantifying Uncertainty — 1× in this paper · explained in 5 episodes
Vector Representations — 1× in this paper · explained in 2 episodes

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