Decontamination of the scientific literature
Research misconduct and frauds pollute the scientific literature. Honest errors and malevolent data fabrication, image manipulation, journal hijacking, and plagiarism passed peer review unnoticed. Problematic papers deceive readers, authors citing them, and AI-powered literature-based discovery. Flagship publishers accepted hundreds flawed papers despite claiming to enforce peer review. This application ambitions to decontaminate the scientific literature using curative and preventive actions.
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Tasks
Image ManipulationSimilar Papers 제목 키워드 기반
Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Large language models are increasingly trained on all the data ever produced by humans. Many have raised concerns about the trustworthiness of public benchmarks due to potential contamination in pre-training or fine-tuni…
HumanEvalMMLUImproving Human Judgments by Decontaminating Sequential Dependencies
For over half a century, psychologists have been struck by how poor people are at expressing their internal sensations, impressions, and evaluations via rating scales. When individuals make judgments, they are incapable …
Analysis of bacterial population growth using extended logistic growth model with distributed delay
In the present work, we develop a delayed Logistic growth model to study the effects of decontamination on the bacterial population in the ambient environment. Using the linear stability analysis, we study different case…
Uncertainty-based Debiasing and Unlearning for Decontamination
Benchmark-based evaluation is the dominant paradigm for assessing large language model (LLM) capabilities, yet data contamination inflates reported performance and undermines fair comparison. Existing decontamination met…
Inference-Time Decontamination: Reusing Leaked Benchmarks for Large Language Model Evaluation
The training process of large language models (LLMs) often involves varying degrees of test data contamination. Although current LLMs are achieving increasingly better performance on various benchmarks, their performance…
GSM8KLanguage Model EvaluationLanguage ModelingLanguage Modelling+2