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AutoPDEBench: Benchmarking LLM Auto-Research for Neural PDE Solver Design

arXiv 2026 43.7 method

Read-first score

Read-first score 43.7, weighted from topical fit, citation, graph, method, reproducibility, and recency signals.

Recency 8%
100

Uses a gentle age decay so recent papers surface without erasing older foundations. 2026

Methodology quality 25%
60

Screens visible abstract and analysis fields for experiment, dataset, baseline, metric, and limitation evidence. markers=baseline,benchmark,dataset,result

Reproducibility 25%
38

Screens links and visible text for paper, code, dataset, artifact, and repository signals. pdf=True; code=False; dataset=False; markers=dataset

Topical relevance 42%
26.2

Matches configured research keywords against title, abstract, tags, and analysis text. matched=7

Field roles

Frontier

Rank sensitivity

Stability: volatile; rank range: 26.

Tags