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20 changes: 10 additions & 10 deletions docs/awesome/awesome-agi-cocosci.md
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* [ChemCrow: Augmenting large-language models with chemistry tools](https://openreview.net/forum?id=wdGIL6lx3l) - ***NeurIPS AI for Science Workshop***, 2023. [[All Versions](https://scholar.google.com/scholar?cluster=8711939262720486725&hl=en&as_sdt=0,5)]. [[Preprint](https://arxiv.org/abs/2304.05376)].

* [LEGAL-BERT: The Muppets straight out of Law School](https://aclanthology.org/2020.findings-emnlp.261/) - ***EMNLP'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=11254432523766039890&hl=en&as_sdt=0,5)]. Generating answers to legal questions, analyze contracts, and summarizing legal documents, making legal knowledge more accessible to non-experts.

* [BioBERT: a pre-trained biomedical language representation model for biomedical text mining](https://academic.oup.com/bioinformatics/article/36/4/1234/5566506) - ***Bioinformatics***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=2783127196632783403&hl=en&as_sdt=0,5)]. Answering medical questions, identifying relevant clinical trials, and diagnosing diseases based on symptoms, making medical information more accessible to the general public.

* [Finbert: A pre-trained financial language representation model for financial text mining](https://dl.acm.org/doi/abs/10.5555/3491440.3492062) - ***IJCAI'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=17844713837232165872&hl=en&as_sdt=0,5)]. Predicting stock market trends, analyzing financial documents, and generating summaries of economic news articles, helping to disseminate financial knowledge.

* [SciBERT: A Pretrained Language Model for Scientific Text](https://aclanthology.org/D19-1371/) - ***EMNLP'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=7377999893003631695&hl=en&as_sdt=0,5)]. Searching and synthesizing scientific literature, aiding researchers in hypothesis generation, and assisting with experimental design, making scientific knowledge more accessible.

* [CodeBERT: A Pre-Trained Model for Programming and Natural Languages](https://aclanthology.org/2020.findings-emnlp.139/) - ***EMNLP'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=9055786889913621082&hl=en&as_sdt=0,5)]. Completing code, generating programming documentation, and providing technical support, making programming knowledge more accessible to non-experts.

* [Reproducibility](https://www.science.org/doi/full/10.1126/science.1250475) - ***Science***, 2014. [[All Versions](https://scholar.google.com/scholar?cluster=676974831306442279&hl=en&as_sdt=0,10)].

* [A manifesto for reproducible science](https://www.nature.com/articles/s41562-016-0021) - ***Nature Human Behavior***, 2017. [[All Versions](https://scholar.google.com/scholar?cluster=9515807942859203900&hl=en&as_sdt=0,10)].
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* [Optimizing Spaced Repetition Schedule by Capturing the Dynamics of Memory](https://ieeexplore.ieee.org/abstract/document/10059206) - ***Transactions on Knowledge and Data Engineering***, 2023. [[All Versions](https://scholar.google.com/scholar?cluster=949715967083833369&hl=en&as_sdt=0,10)].

* [LEGAL-BERT: The Muppets straight out of Law School](https://aclanthology.org/2020.findings-emnlp.261/) - ***EMNLP'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=11254432523766039890&hl=en&as_sdt=0,5)]. Generating answers to legal questions, analyze contracts, and summarizing legal documents, making legal knowledge more accessible to non-experts.

* [BioBERT: a pre-trained biomedical language representation model for biomedical text mining](https://academic.oup.com/bioinformatics/article/36/4/1234/5566506) - ***Bioinformatics***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=2783127196632783403&hl=en&as_sdt=0,5)]. Answering medical questions, identifying relevant clinical trials, and diagnosing diseases based on symptoms, making medical information more accessible to the general public.

* [Finbert: A pre-trained financial language representation model for financial text mining](https://dl.acm.org/doi/abs/10.5555/3491440.3492062) - ***IJCAI'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=17844713837232165872&hl=en&as_sdt=0,5)]. Predicting stock market trends, analyzing financial documents, and generating summaries of economic news articles, helping to disseminate financial knowledge.

* [SciBERT: A Pretrained Language Model for Scientific Text](https://aclanthology.org/D19-1371/) - ***EMNLP'19***, 2019. [[All Versions](https://scholar.google.com/scholar?cluster=7377999893003631695&hl=en&as_sdt=0,5)]. Searching and synthesizing scientific literature, aiding researchers in hypothesis generation, and assisting with experimental design, making scientific knowledge more accessible.

* [CodeBERT: A Pre-Trained Model for Programming and Natural Languages](https://aclanthology.org/2020.findings-emnlp.139/) - ***EMNLP'20***, 2020. [[All Versions](https://scholar.google.com/scholar?cluster=9055786889913621082&hl=en&as_sdt=0,5)]. Completing code, generating programming documentation, and providing technical support, making programming knowledge more accessible to non-experts.



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