CLIN: an Objective Framework for Evaluating Creativity in Short Persian Literary Text

arXiv:2608.30754 · cs.CL · Submitted 2026-08-31 · Read on arXiv

cs.CL

Submitted: 2026-08-31

Updated: 2026-08-31

Project page: https://smrmodares.github.io/CLiN

Terminology

• Alignment — 22× in this paper · explained in 1 episode
• Perplexity — 15× in this paper · explained in 3 episodes
• LLM judge — 11× in this paper · explained in 2 episodes
• Clustering — 6× in this paper · explained in 2 episodes
• Consistency — 5× in this paper · explained in 3 episodes
• Embeddings — 5× in this paper · explained in 2 episodes
• Lexical Diversity — 4× in this paper · explained in 2 episodes
• Aggregation — 3× in this paper · explained in 1 episode
• Robustness — 3× in this paper · explained in 5 episodes
• Benchmark — 2× in this paper · explained in 2 episodes
• Calibration — 2× in this paper · explained in 7 episodes
• Core — 2× in this paper · explained in 2 episodes
• Evaluation Dimensions — 2× in this paper · explained in 3 episodes
• Annotator Agreement — 1× in this paper · explained in 1 episode
• Resource Constraints — 1× in this paper · explained in 3 episodes
• Reward Hacking — 1× in this paper · explained in 8 episodes
• Torrance Test of Creative Writing — 1× in this paper
• Transformer — 1× in this paper · explained in 2 episodes

Sources

• CS4: Measuring the Creativity of Large Language Models Automatically by Controlling the Number of Story-Writing Constraints
• Art or Artifice? Large Language Models and the False Promise of Creativity
• Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?
• On the Creativity of Large Language Models
• Why Large Language Models and Humans Converge and Diverge in Evaluating Creativity

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