arXiv 2610.00531 · cs.AI · 2026-09-30
Science or Slop?: Benchmarking and Mitigating Scientific Slop in AI-Generated Papers
Yerim Oh, Young-Jun Lee, Jaewoo Ahn, Gunhee Kim, Dongyeop Kang
Seoul National University
In latest · #202 Added on 2026-10-21
One-line takeaway
SciSlopBench collects 390 AI-generated papers to detect plausible-looking but broken 'scientific slop' and explores mitigations.
SciSlopBench 收录 390 篇 AI 生成论文,检测看似合理但推理断裂的“科研垃圾”,并探索缓解办法。
Read on arXiv PDF Hugging Face discussion Code Project page
Topics & disciplines
More on Benchmarks & data
- PremiseCheck: Efficient Fact-Checking of Human and AI Peer Reviews ▲727
- OR-License: Evaluating LLM Agents as Real-World Operations Research Practitioners ▲291
- RealCompanion: Benchmarking Human Understanding from Reasoning over Longitudinal Real-World Conversations ▲287
- GameHorizon Suite: Multi-Horizon Data and Evaluation in Gameplay ▲73
- More Choices, Fewer Decisions: Ordinal-Scale Bias in JEV-like Direct-Decision Models ▲65
About this data
Metadata from the arXiv API (verified); upvotes from Hugging Face Daily Papers; citations from Semantic Scholar. Last refreshed 2026-10-22.
The takeaway is written by AIMap from the abstract; the abstract itself is not reproduced — read the original.