SlopBench: How Well Can We Rank Language Models by Slop? A Multi-Domain Benchmark of Repetitive AI Writing

arXiv:2609.33905 · cs.CL · Submitted 2026-09-27 · Read on arXiv

cs.CL

Submitted: 2026-09-27

Updated: 2026-09-27

Comments: 12 pages, 4 figures

Code: https://github.com/hgaddipati1118/slopindex

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

Terminology

• Benchmark — 16× in this paper · explained in 2 episodes
• Lexical Diversity — 6× in this paper · explained in 2 episodes
• Aggregation — 2× in this paper · explained in 1 episode
• Robustness — 2× in this paper · explained in 5 episodes
• Benchmarking — 1× in this paper · explained in 3 episodes
• Bradley-Terry model — 1× in this paper · explained in 2 episodes
• Commentary — 1× in this paper · explained in 2 episodes
• Pairwise Comparisons — 1× in this paper · explained in 2 episodes
• Quantization — 1× in this paper · explained in 12 episodes

Sources

• Measuring AI "Slop" in Text
• "That's AI Slop, You Bot!" Studying Accusations, Evidence, and Credibility in Online Discourse Towards LLM-Generated Comments
• $\tau^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment
• Convergence and stationary distribution of Elo rating systems

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