Architectures with stronger inductive biases attain higher in-distribution accuracy but degrade faster under temporal distribution shift, while frozen pretrained encoders trade accuracy for stability.
arxiv dataset, 2024
3 Pith papers cite this work, alongside 5 external citations. Polarity classification is still indexing.
3
Pith papers citing it
5
external citations · external index
years
2026 3representative citing papers
Structuring LLM hypothesis generation around deductive-nomological explanation, causal processes, and universals is reported to beat direct prompting, with two generated ideas implemented as the CTAT and HALO algorithms.
MIRAI predicts 5-year PageRank and citation impact from paper title/abstract/date with Spearman's ρ 0.47/0.62, and generates ideas judged 4:3 more impactful by LLM.
citing papers explorer
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Drift Happens: An Empirical Study of Neural Architecture Robustness to Temporal Distribution Shift
Architectures with stronger inductive biases attain higher in-distribution accuracy but degrade faster under temporal distribution shift, while frozen pretrained encoders trade accuracy for stability.
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DN-Hypo-Pipeline: An AI-Driven Workflow for Generating Hypotheses using Large Language Models and Scientific Explanations
Structuring LLM hypothesis generation around deductive-nomological explanation, causal processes, and universals is reported to beat direct prompting, with two generated ideas implemented as the CTAT and HALO algorithms.
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MIRAI: Prediction and Generation of High-Impact Academic Research
MIRAI predicts 5-year PageRank and citation impact from paper title/abstract/date with Spearman's ρ 0.47/0.62, and generates ideas judged 4:3 more impactful by LLM.