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references.bib
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@article{Ai_2024,
title = {Extracting Structured Data from Organic Synthesis Procedures Using a Fine-Tuned Large Language Model},
author = {Ai, Qianxiang and Meng, Fanwang and Shi, Jiale and Pelkie, Brenden and Coley, Connor W.},
year = 2024,
journal = {ChemRxiv},
doi = {10.26434/chemrxiv-2024-979fz}
}
@misc{dettmers20228bit,
title = {8-bit Optimizers via Block-wise Quantization},
author = {Tim Dettmers and Mike Lewis and Sam Shleifer and Luke Zettlemoyer},
year = 2022,
eprint = {2110.02861},
archiveprefix = {arXiv},
primaryclass = {cs.LG}
}
@misc{loshchilov2019decoupled,
title = {Decoupled Weight Decay Regularization},
author = {Ilya Loshchilov and Frank Hutter},
year = 2019,
eprint = {1711.05101},
archiveprefix = {arXiv},
primaryclass = {cs.LG}
}
@misc{dettmers2023qlora,
title = {QLoRA: Efficient Finetuning of Quantized LLMs},
author = {Tim Dettmers and Artidoro Pagnoni and Ari Holtzman and Luke Zettlemoyer},
year = 2023,
eprint = {2305.14314},
archiveprefix = {arXiv},
primaryclass = {cs.LG}
}
@misc{zhang2020bertscore,
title = {BERTScore: Evaluating Text Generation with BERT},
author = {Tianyi Zhang and Varsha Kishore and Felix Wu and Kilian Q. Weinberger and Yoav Artzi},
year = 2020,
eprint = {1904.09675},
archiveprefix = {arXiv},
primaryclass = {cs.CL}
}
@article{Deem2022,
title = {Ring walking as a regioselectivity control element in Pd-catalyzed C-N cross-coupling},
author = {Deem, Madeleine C. and Derasp, Joshua S. and Malig, Thomas C. and Legard, Kea and Berlinguette, Curtis P. and Hein, Jason E.},
year = 2022,
month = may,
journal = {Nature Communications},
publisher = {Springer Science and Business Media LLC},
volume = 13,
number = 1,
doi = {10.1038/s41467-022-30255-1},
issn = {2041-1723},
url = {http://dx.doi.org/10.1038/s41467-022-30255-1}
}
@misc{sanh2020distilbert,
title = {DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter},
author = {Victor Sanh and Lysandre Debut and Julien Chaumond and Thomas Wolf},
year = 2020,
eprint = {1910.01108},
archiveprefix = {arXiv},
primaryclass = {cs.CL}
}
@article{Gevorgyan2021,
title = {Improved Buchwald–Hartwig Amination by the Use of Lipids and Lipid Impurities},
author = {Gevorgyan, Ashot and Hopmann, Kathrin H. and Bayer, Annette},
year = 2021,
month = oct,
journal = {Organometallics},
publisher = {American Chemical Society (ACS)},
volume = 41,
number = 14,
pages = {1777–1785},
doi = {10.1021/acs.organomet.1c00517},
issn = {1520-6041},
url = {http://dx.doi.org/10.1021/acs.organomet.1c00517}
}
@article{RxnScribe,
title = {RxnScribe: A Sequence Generation Model for Reaction Diagram Parsing},
author = {Qian, Yujie and Guo, Jiang and Tu, Zhengkai and Coley, Connor W. and Barzilay, Regina},
year = 2023,
month = jun,
journal = {Journal of Chemical Information and Modeling},
publisher = {American Chemical Society (ACS)},
volume = 63,
number = 13,
pages = {4030–4041},
doi = {10.1021/acs.jcim.3c00439},
issn = {1549-960X},
url = {http://dx.doi.org/10.1021/acs.jcim.3c00439}
}
@misc{shi2024instruction,
title = {Instruction Tuning With Loss Over Instructions},
author = {Zhengyan Shi and Adam X. Yang and Bin Wu and Laurence Aitchison and Emine Yilmaz and Aldo Lipani},
year = 2024,
eprint = {2405.14394},
archiveprefix = {arXiv},
primaryclass = {cs.CL}
}
@misc{marker2023,
title = {Marker: Open Source Machine Learning Model for Data Annotation},
author = {Vik Paruchuri},
year = 2023,
howpublished = {\url{https://github.com/VikParuchuri/marker}}
}
@article{Shao2020,
title = {Selectable Microporous Carbons Derived from Poplar Wood by Three Preparation Routes for CO2 Capture},
author = {Shao, Lishu and Sang, Yafei and Liu, Na and Liu, Jun and Zhan, Peng and Huang, Jianhan and Chen, Jienan},
year = 2020,
month = jul,
journal = {ACS Omega},
publisher = {American Chemical Society (ACS)},
volume = 5,
number = 28,
pages = {17450–17462},
doi = {10.1021/acsomega.0c01918},
issn = {2470-1343},
url = {http://dx.doi.org/10.1021/acsomega.0c01918}
}
@misc{brown2020language,
title = {Language Models are Few-Shot Learners},
author = {Tom B. Brown and Benjamin Mann and Nick Ryder and Melanie Subbiah and Jared Kaplan and Prafulla Dhariwal and Arvind Neelakantan and Pranav Shyam and Girish Sastry and Amanda Askell and Sandhini Agarwal and Ariel Herbert-Voss and Gretchen Krueger and Tom Henighan and Rewon Child and Aditya Ramesh and Daniel M. Ziegler and Jeffrey Wu and Clemens Winter and Christopher Hesse and Mark Chen and Eric Sigler and Mateusz Litwin and Scott Gray and Benjamin Chess and Jack Clark and Christopher Berner and Sam McCandlish and Alec Radford and Ilya Sutskever and Dario Amodei},
year = 2020,
eprint = {2005.14165},
archiveprefix = {arXiv},
primaryclass = {id='cs.CL' full_name='Computation and Language' is_active=True alt_name='cmp-lg' in_archive='cs' is_general=False description='Covers natural language processing. Roughly includes material in ACM Subject Class I.2.7. Note that work on artificial languages (programming languages, logics, formal systems) that does not explicitly address natural-language issues broadly construed (natural-language processing, computational linguistics, speech, text retrieval, etc.) is not appropriate for this area.'}
}
@misc{wei2023chainofthought,
title = {Chain-of-Thought Prompting Elicits Reasoning in Large Language Models},
author = {Jason Wei and Xuezhi Wang and Dale Schuurmans and Maarten Bosma and Brian Ichter and Fei Xia and Ed Chi and Quoc Le and Denny Zhou},
year = 2023,
eprint = {2201.11903},
archiveprefix = {arXiv},
primaryclass = {id='cs.CL' full_name='Computation and Language' is_active=True alt_name='cmp-lg' in_archive='cs' is_general=False description='Covers natural language processing. Roughly includes material in ACM Subject Class I.2.7. Note that work on artificial languages (programming languages, logics, formal systems) that does not explicitly address natural-language issues broadly construed (natural-language processing, computational linguistics, speech, text retrieval, etc.) is not appropriate for this area.'}
}
@misc{wang2023selfconsistency,
title = {Self-Consistency Improves Chain of Thought Reasoning in Language Models},
author = {Xuezhi Wang and Jason Wei and Dale Schuurmans and Quoc Le and Ed Chi and Sharan Narang and Aakanksha Chowdhery and Denny Zhou},
year = 2023,
eprint = {2203.11171},
archiveprefix = {arXiv},
primaryclass = {id='cs.CL' full_name='Computation and Language' is_active=True alt_name='cmp-lg' in_archive='cs' is_general=False description='Covers natural language processing. Roughly includes material in ACM Subject Class I.2.7. Note that work on artificial languages (programming languages, logics, formal systems) that does not explicitly address natural-language issues broadly construed (natural-language processing, computational linguistics, speech, text retrieval, etc.) is not appropriate for this area.'}
}
@article{jess_phase_2022,
title = {On the {Phase} {Stability} of {Chalcogenide} {Perovskites}},
author = {Jess, Alexander and Yang, Ruiquan and Hages, Charles J.},
year = 2022,
month = jul,
journal = {Chemistry of Materials},
doi = {10.1021/acs.chemmater.2c01289},
issn = {0897-4756},
url = {https://doi.org/10.1021/acs.chemmater.2c01289},
urldate = {2022-07-19},
note = {Publisher: American Chemical Society},
abstract = {Chalcogenide perovskites have gained recent research attention as a promising semiconductor for photovoltaic and optoelectronic applications. In addition to the challenges that surround the synthesis and processing of these materials into devices, their phase stability in perovskite structures is an open research question. Reported syntheses presently lack clear phase stability criteria. In this work, we present a compelling phase stability analysis of sulfide ABS3 and selenide ABSe3 compounds on the basis of ionic radii and electronegativity arguments. This analysis is used to screen potential materials of interest as well as motivate further experimental research into several new perovskite compositions.},
file = {ACS Full Text Snapshot:C\:\\Users\\pepem\\Zotero\\storage\\I8NDI75R\\acs.chemmater.html:text/html;Full Text PDF:C\:\\Users\\pepem\\Zotero\\storage\\A8DB22E7\\Jess et al. - 2022 - On the Phase Stability of Chalcogenide Perovskites.pdf:application/pdf}
}
@article{sopiha_chalcogenide_2022,
title = {Chalcogenide {Perovskites}: {Tantalizing} {Prospects}, {Challenging} {Materials}},
shorttitle = {Chalcogenide {Perovskites}},
author = {Sopiha, Kostiantyn V. and Comparotto, Corrado and Márquez, José A. and Scragg, Jonathan J. S.},
year = 2022,
journal = {Advanced Optical Materials},
volume = 10,
number = 3,
pages = 2101704,
doi = {10.1002/adom.202101704},
issn = {2195-1071},
url = {https://onlinelibrary.wiley.com/doi/abs/10.1002/adom.202101704},
urldate = {2023-01-17},
note = {\_eprint: https://onlinelibrary.wiley.com/doi/pdf/10.1002/adom.202101704},
abstract = {Chalcogenide perovskites have recently emerged into the spotlight as highly robust, earth abundant, and nontoxic candidates for various energy conversion applications, not least photovoltaics (PV). Now, a serious effort is required to determine if they can emulate the PV performance of the better-known, part-organic halide perovskites, in applications such as tandem solar cells. This review summarizes the surprisingly large body of literature pertaining to chalcogenide perovskites, which have been investigated for many years despite only recently being considered for applications. The confusing variety of claims coming from computational materials discovery is clarified, and it is specified which chalcogenide perovskites actually exist and should form the focus of experimental work. The highly interesting optoelectronic and transport properties of the known materials at their current stage of development are summarized, which makes a clear case for investigating them further. The existing synthesis literature is collated, which provides some important and possibly unnoticed clues to experimentalists grappling with these somewhat challenging materials. The authors hope that the highlighting of this information will facilitate further exciting studies, better approaches, and new progress for chalcogenide perovskites.},
language = {en},
keywords = {photovoltaics, chalcogenide perovskites, optoelectronics, earth-abundant materials, energy materials},
file = {Full Text PDF:C\:\\Users\\pepem\\Zotero\\storage\\YFWT5C52\\Sopiha et al. - 2022 - Chalcogenide Perovskites Tantalizing Prospects, C.pdf:application/pdf;Snapshot:C\:\\Users\\pepem\\Zotero\\storage\\PLB7WZKT\\adom.html:text/html}
}
@article{breternitz_what_2018,
title = {What {Defines} a {Perovskite}?},
author = {Breternitz, Joachim and Schorr, Susan},
year = 2018,
journal = {Advanced Energy Materials},
volume = 8,
number = 34,
doi = {10.1002/aenm.201802366},
issn = 16146840
}
@article{Sopiha2021,
title = {Chalcogenide Perovskites: Tantalizing Prospects, Challenging Materials},
author = {Sopiha, Kostiantyn V. and Comparotto, Corrado and Márquez, José A. and Scragg, Jonathan J. S.},
year = 2021,
month = dec,
journal = {Advanced Optical Materials},
publisher = {Wiley},
volume = 10,
number = 3,
doi = {10.1002/adom.202101704},
issn = {2195-1071},
url = {http://dx.doi.org/10.1002/adom.202101704}
}
@misc{vaswani2023attention,
title = {Attention Is All You Need},
author = {Ashish Vaswani and Noam Shazeer and Niki Parmar and Jakob Uszkoreit and Llion Jones and Aidan N. Gomez and Lukasz Kaiser and Illia Polosukhin},
year = 2023,
eprint = {1706.03762},
archiveprefix = {arXiv},
primaryclass = {id='cs.CL' full_name='Computation and Language' is_active=True alt_name='cmp-lg' in_archive='cs' is_general=False description='Covers natural language processing. Roughly includes material in ACM Subject Class I.2.7. Note that work on artificial languages (programming languages, logics, formal systems) that does not explicitly address natural-language issues broadly construed (natural-language processing, computational linguistics, speech, text retrieval, etc.) is not appropriate for this area.'}
}
@article{Wei2012biomass,
title = {Granular Bamboo‐Derived Activated Carbon for High CO2 Adsorption: The Dominant Role of Narrow Micropores},
author = {Wei, Haoran and Deng, Shubo and Hu, Bingyin and Chen, Zhenhe and Wang, Bin and Huang, Jun and Yu, Gang},
year = 2012,
month = nov,
journal = {ChemSusChem},
publisher = {Wiley},
volume = 5,
number = 12,
pages = {2354–2360},
doi = {10.1002/cssc.201200570},
issn = {1864-564X},
url = {http://dx.doi.org/10.1002/cssc.201200570}
}
@article{Moussa2017,
title = {Toward sustainable hydrogen storage and carbon dioxide capture in post-combustion conditions},
author = {Moussa, Meriem and Bader, Najoua and Querejeta, Nausika and Durán, Inés and Pevida, Covadonga and Ouederni, Abdelmottaleb},
year = 2017,
month = apr,
journal = {Journal of Environmental Chemical Engineering},
publisher = {Elsevier BV},
volume = 5,
number = 2,
pages = {1628–1637},
doi = {10.1016/j.jece.2017.03.003},
issn = {2213-3437},
url = {http://dx.doi.org/10.1016/j.jece.2017.03.003}
}
@article{Patiny_2023,
title = {Automatic extraction of FAIR data from publications using LLM},
author = {Patiny, Luc and Godin, Guillaume},
year = 2023,
month = dec,
journal = {ChemRxiv preprint},
publisher = {American Chemical Society (ACS)},
doi = {10.26434/chemrxiv-2023-05v1b-v2},
url = {http://dx.doi.org/10.26434/chemrxiv-2023-05v1b-v2}
}
@article{stechly2024chainthoughtlessnessanalysiscot,
title = {Chain of Thoughtlessness? An Analysis of CoT in Planning},
author = {Kaya Stechly and Karthik Valmeekam and Subbarao Kambhampati},
year = 2024,
journal = {arXiv preprint},
doi = {10.48550/arXiv.2405.04776},
url = {https://arxiv.org/abs/2405.04776},
eprint = {2405.04776},
archiveprefix = {arXiv},
primaryclass = {cs.AI}
}
@article{ridnik2024codegenerationalphacodiumprompt,
title = {Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering},
author = {Tal Ridnik and Dedy Kredo and Itamar Friedman},
year = 2024,
journal = {arXiv preprint},
doi = {10.48550/arXiv.2401.08500},
url = {https://arxiv.org/abs/2401.08500},
eprint = {2401.08500},
archiveprefix = {arXiv},
primaryclass = {cs.LG}
}
@misc{shankar2024validatesvalidatorsaligningllmassisted,
title={Who Validates the Validators? Aligning LLM-Assisted Evaluation of LLM Outputs with Human Preferences},
author={Shreya Shankar and J. D. Zamfirescu-Pereira and Björn Hartmann and Aditya G. Parameswaran and Ian Arawjo},
year={2024},
eprint={2404.12272},
archivePrefix={arXiv},
primaryClass={cs.HC},
url={https://arxiv.org/abs/2404.12272},
}
@misc{kambhampati2024llmscantplanhelp,
title={LLMs Can't Plan, But Can Help Planning in LLM-Modulo Frameworks},
author={Subbarao Kambhampati and Karthik Valmeekam and Lin Guan and Mudit Verma and Kaya Stechly and Siddhant Bhambri and Lucas Saldyt and Anil Murthy},
year={2024},
eprint={2402.01817},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2402.01817},
}
@misc{stechly2024selfverificationlimitationslargelanguage,
title={On the Self-Verification Limitations of Large Language Models on Reasoning and Planning Tasks},
author={Kaya Stechly and Karthik Valmeekam and Subbarao Kambhampati},
year={2024},
eprint={2402.08115},
archivePrefix={arXiv},
primaryClass={cs.AI},
url={https://arxiv.org/abs/2402.08115},
}