



% GoEmotions Dataset
@inproceedings{Demszky2020GoEmotionsAD,
  title={GoEmotions: A Dataset of Fine-Grained Emotions},
  author={Dorottya Demszky and Dana Movshovitz-Attias and Jeongwoo Ko and Alan S. Cowen and Gaurav Nemade and Sujith Ravi},
  booktitle={Annual Meeting of the Association for Computational Linguistics},
  year={2020}
}

% Kaggle Clickbait Dataset
@misc{Anand2020Clickbait, 
    title={Clickbait dataset}, 
    url={https://www.kaggle.com/datasets/amananandrai/clickbait-dataset}, 
    journal={Kaggle}, 
    author={Anand, Aman}, 
    year={2020}
} 

% HateXplain
@inproceedings{Mathew2020HateXplainAB,
  title={HateXplain: A Benchmark Dataset for Explainable Hate Speech Detection},
  author={Binny Mathew and Punyajoy Saha and Seid Muhie Yimam and Chris Biemann and Pawan Goyal and Animesh Mukherjee},
  booktitle={AAAI Conference on Artificial Intelligence},
  year={2020}
}

% German News Bias Dataset
@inproceedings{Aksenov2021FinegrainedCO,
  title={Fine-grained Classification of Political Bias in German News: A Data Set and Initial Experiments},
  author={Dmitrii Aksenov and Peter Bourgonje and Karolina Zaczynska and Malte Ostendorff and Julian Moreno-Schneider and Georg Rehm},
  booktitle={WOAH},
  year={2021}
}

% StereoSet
@inproceedings{Nadeem2020StereoSetMS,
  title={StereoSet: Measuring stereotypical bias in pretrained language models},
  author={Moin Nadeem and Anna Bethke and Siva Reddy},
  booktitle={Annual Meeting of the Association for Computational Linguistics},
  year={2020}
}

% Kaggle News Category Dataset
@article{Misra2022NewsCD,
  title={News Category Dataset},
  author={Rishabh Misra},
  journal={ArXiv},
  year={2022},
  volume={abs/2209.11429}
}

% Verifee Dataset
@inproceedings{Bohacek2023CzechingTN,
  title={Czech-ing the News: Article Trustworthiness Dataset for Czech},
  author={Maty{\'a}{\v s} Boh{\'a}{\v c}ek and Michal Bravansky and Filip Trhl{\'i}k and V{\'a}clav Moravec},
  booktitle={Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis},
  year={2023}
}

% XGBoost
@article{Chen2016XGBoostAS,
  title={XGBoost: A Scalable Tree Boosting System},
  author={Tianqi Chen and Carlos Guestrin},
  journal={Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining},
  year={2016}
}

% PyTorch
@inproceedings{Paszke2019PyTorchAI,
  title={PyTorch: An Imperative Style, High-Performance Deep Learning Library},
  author={Adam Paszke and Sam Gross and Francisco Massa and Adam Lerer and James Bradbury and Gregory Chanan and Trevor Killeen and Zeming Lin and Natalia Gimelshein and Luca Antiga and Alban Desmaison and Andreas K{\"o}pf and Edward Yang and Zach DeVito and Martin Raison and Alykhan Tejani and Sasank Chilamkurthy and Benoit Steiner and Lu Fang and Junjie Bai and Soumith Chintala},
  booktitle={Neural Information Processing Systems},
  year={2019}
}

% Hugging Face
@article{Wolf2019HuggingFacesTS,
  title={HuggingFace's Transformers: State-of-the-art Natural Language Processing},
  author={Thomas Wolf and Lysandre Debut and Victor Sanh and Julien Chaumond and Clement Delangue and Anthony Moi and Pierric Cistac and Tim Rault and R{\'e}mi Louf and Morgan Funtowicz and Jamie Brew},
  journal={ArXiv},
  year={2019},
  volume={abs/1910.03771}
}

% Related Work

% Related Work: Modular Ensemble Pipelines
@inproceedings{Revina2021DesigningET,
  title={Designing Explainable Text Classification Pipelines: Insights from IT Ticket Complexity Prediction Case Study},
  author={Aleksandra Revina and Kriszti{\'a}n B{\'u}za and Vera G. Meister},
  year={2021}
}

@article{Liu2023TicketBERTLI,
  title={Ticket-BERT: Labeling Incident Management Tickets with Language Models},
  author={Zhexiong Liu},
  journal={ArXiv},
  year={2023},
  volume={abs/2307.00108}
}

@article{Ahmed2023AnEA,
  title={An Empirical Analysis of State-of-Art Classification Models in an IT Incident Severity Prediction Framework},
  author={Salman Ahmed and Muskaan Singh and Brendan Doherty and Effirul Ikhwan Ramlan and Kathryn Harkin and Magda Bucholc and Damien Coyle},
  journal={Applied Sciences},
  year={2023}
}

@article{Zicari2022CombiningDE,
  title={Combining deep ensemble learning and explanation for intelligent ticket management},
  author={P. Zicari and Gianluigi Folino and Massimo Guarascio and Luigi Pontieri},
  journal={Expert Syst. Appl.},
  year={2022},
  volume={206},
  pages={117815}
}

@inproceedings{Revina2019MultiCriteriaKR,
  title={Multi-Criteria Knowledge-Based Recommender System for Decision Support in Complex Business Processes},
  author={Aleksandra Revina and Nina Rizun},
  booktitle={ComplexRec@RecSys},
  year={2019}
}

@article{Riduan2021ASL,
  title={A Systematic Literature Review of Text Classification: Datasets and Methods},
  author={Gusti Muhammad Riduan and Indah Soesanti and Teguh Bharata Adji},
  journal={2021 IEEE 5th International Conference on Information Technology, Information Systems and Electrical Engineering (ICITISEE)},
  year={2021},
  pages={71-77}
}

@article{Wang2021ReviewOT,
  title={Review of Text Classification in Deep Learning},
  author={Qi Wang and Wenling Li and Zhezhi Jin},
  journal={OALib},
  year={2021}
}

@article{Gasparetto2022ASO,
  title={A Survey on Text Classification Algorithms: From Text to Predictions},
  author={Andrea Gasparetto and Matteo Marcuzzo and Alessandro Zangari and Andrea Albarelli},
  journal={Inf.},
  year={2022},
  volume={13},
  pages={83}
}

@inproceedings{Clark2019Electra,
  title={ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators},
  author={Clark, Kevin and Luong, Minh-Thang and Le, Quoc V and Manning, Christopher D},
  booktitle={International Conference on Learning Representations},
  year={2019}
}

@inproceedings{Wang2018GLUEAM,
  title={GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding},
  author={Alex Wang and Amanpreet Singh and Julian Michael and Felix Hill and Omer Levy and Samuel R. Bowman},
  booktitle={BlackboxNLP@EMNLP},
  year={2018}
}

% Related Work: LLMs

@article{Loukas2023MakingLW,
  title={Making LLMs Worth Every Penny: Resource-Limited Text Classification in Banking},
  author={Lefteris Loukas and Ilias Stogiannidis and Odysseas Diamantopoulos and Prodromos Malakasiotis and Stavros Vassos},
  journal={Proceedings of the Fourth ACM International Conference on AI in Finance},
  year={2023}
}

@article{Chen2023LabelfreeNC,
  title={Label-free Node Classification on Graphs with Large Language Models (LLMS)},
  author={Zhikai Chen and Haitao Mao and Hongzhi Wen and Haoyu Han and Wei-dong Jin and Haiyang Zhang and Hui Liu and Jiliang Tang},
  journal={ArXiv},
  year={2023},
  volume={abs/2310.04668}
}

@inproceedings{Frick2023FraunhoferSA,
  title={Fraunhofer SIT at CheckThat!-2023: Can LLMs Be Used for Data Augmentation \& Few-Shot Classification? Detecting Subjectivity in Text Using ChatGPT},
  author={Raphael Antonius Frick},
  booktitle={Conference and Labs of the Evaluation Forum},
  year={2023}
}

@inproceedings{Sun2023TextCV,
  title={Text Classification via Large Language Models},
  author={Xiaofei Sun and Xiaoya Li and Jiwei Li and Fei Wu and Shangwei Guo and Tianwei Zhang and Guoyin Wang},
  booktitle={Conference on Empirical Methods in Natural Language Processing},
  year={2023}
}

@article{Zhao2023ASO,
  title={A Survey of Large Language Models},
  author={Wayne Xin Zhao and Kun Zhou and Junyi Li and Tianyi Tang and Xiaolei Wang and Yupeng Hou and Yingqian Min and Beichen Zhang and Junjie Zhang and Zican Dong and Yifan Du and Chen Yang and Yushuo Chen and Z. Chen and Jinhao Jiang and Ruiyang Ren and Yifan Li and Xinyu Tang and Zikang Liu and Peiyu Liu and Jianyun Nie and Ji-rong Wen},
  journal={ArXiv},
  year={2023},
  volume={abs/2303.18223}
}

@inproceedings{Wan2023EfficientLL,
  title={Efficient Large Language Models: A Survey},
  author={Zhongwei Wan and Xin Wang and Che Liu and Samiul Alam and Yu Zheng and Zhongnan Qu and Shen Yan and Yi Zhu and Quanlu Zhang and Mosharaf Chowdhury and Mi Zhang},
  year={2023}
}

@article{Kumar2020DataAU,
  title={Data Augmentation using Pre-trained Transformer Models},
  author={Varun Kumar and Ashutosh Choudhary and Eunah Cho},
  journal={ArXiv},
  year={2020},
  volume={abs/2003.02245}
}

@article{Li2023SyntheticDG,
  title={Synthetic Data Generation with Large Language Models for Text Classification: Potential and Limitations},
  author={Zhuoyan Li and Hangxiao Zhu and Zhuoran Lu and Ming Yin},
  journal={ArXiv},
  year={2023},
  volume={abs/2310.07849}
}

@article{Golde2023FabricatorAO,
  title={Fabricator: An Open Source Toolkit for Generating Labeled Training Data with Teacher LLMs},
  author={Jonas Golde and Patrick Haller and Felix Hamborg and Julian Risch and A. Akbik},
  journal={ArXiv},
  year={2023},
  volume={abs/2309.09582}
}

@inproceedings{Chung2023IncreasingDW,
  title={Increasing Diversity While Maintaining Accuracy: Text Data Generation with Large Language Models and Human Interventions},
  author={John Joon Young Chung and Ece Kamar and Saleema Amershi},
  booktitle={Annual Meeting of the Association for Computational Linguistics},
  year={2023}
}

@article{OpenAI2023GPT4TR,
  title={GPT-4 Technical Report},
  author={OpenAI},
  journal={ArXiv},
  year={2023},
  volume={abs/2303.08774}
}

@misc{Anthropic, 
    title={Model card and evaluations for Claude Models}, 
    url={https://www-files.anthropic.com/production/images/Model-Card-Claude-2.pdf},
    journal={Anthropic}, 
    author={Anthropic}
} 

@article{Jiang2023Mistral7,
  title={Mistral 7B},
  author={Albert Qiaochu Jiang and Alexandre Sablayrolles and Arthur Mensch and Chris Bamford and Devendra Singh Chaplot and Diego de Las Casas and Florian Bressand and Gianna Lengyel and Guillaume Lample and Lucile Saulnier and L'elio Renard Lavaud and Marie-Anne Lachaux and Pierre Stock and Teven Le Scao and Thibaut Lavril and Thomas Wang and Timoth{\'e}e Lacroix and William El Sayed},
  journal={ArXiv},
  year={2023},
  volume={abs/2310.06825}
}

@article{Touvron2023Llama2O,
  title={Llama 2: Open Foundation and Fine-Tuned Chat Models},
  author={Hugo Touvron and Louis Martin and Kevin R. Stone and Peter Albert and Amjad Almahairi and Yasmine Babaei and Nikolay Bashlykov and Soumya Batra and Prajjwal Bhargava and Shruti Bhosale and Daniel M. Bikel and Lukas Blecher and Cristian Cant{\'o}n Ferrer and Moya Chen and Guillem Cucurull and David Esiobu and Jude Fernandes and Jeremy Fu and Wenyin Fu and Brian Fuller and Cynthia Gao and Vedanuj Goswami and Naman Goyal and Anthony S. Hartshorn and Saghar Hosseini and Rui Hou and Hakan Inan and Marcin Kardas and Viktor Kerkez and Madian Khabsa and Isabel M. Kloumann and A. V. Korenev and Punit Singh Koura and Marie-Anne Lachaux and Thibaut Lavril and Jenya Lee and Diana Liskovich and Yinghai Lu and Yuning Mao and Xavier Martinet and Todor Mihaylov and Pushkar Mishra and Igor Molybog and Yixin Nie and Andrew Poulton and Jeremy Reizenstein and Rashi Rungta and Kalyan Saladi and Alan Schelten and Ruan Silva and Eric Michael Smith and R. Subramanian and Xia Tan and Binh Tang and Ross Taylor and Adina Williams and Jian Xiang Kuan and Puxin Xu and Zhengxu Yan and Iliyan Zarov and Yuchen Zhang and Angela Fan and Melanie Kambadur and Sharan Narang and Aurelien Rodriguez and Robert Stojnic and Sergey Edunov and Thomas Scialom},
  journal={ArXiv},
  year={2023},
  volume={abs/2307.09288}
}

% Related Work: Comparative Studies

@article{Qin2023IsCA,
  title={Is ChatGPT a General-Purpose Natural Language Processing Task Solver?},
  author={Chengwei Qin and Aston Zhang and Zhuosheng Zhang and Jiaao Chen and Michihiro Yasunaga and Diyi Yang},
  journal={ArXiv},
  year={2023},
  volume={abs/2302.06476},
  url={https://api.semanticscholar.org/CorpusID:256827430}
}

@inproceedings{Laskar2023ASS,
  title={A Systematic Study and Comprehensive Evaluation of ChatGPT on Benchmark Datasets},
  author={Md Tahmid Rahman Laskar and M Saiful Bari and Mizanur Rahman and Md Amran Hossen Bhuiyan and Shafiq R. Joty and J. Huang},
  booktitle={Annual Meeting of the Association for Computational Linguistics},
  year={2023},
  url={https://api.semanticscholar.org/CorpusID:258967462}
}

@article{Zhong2023CanCU,
  title={Can ChatGPT Understand Too? A Comparative Study on ChatGPT and Fine-tuned BERT},
  author={Qihuang Zhong and Liang Ding and Juhua Liu and Bo Du and Dacheng Tao},
  journal={ArXiv},
  year={2023},
  volume={abs/2302.10198},
  url={https://api.semanticscholar.org/CorpusID:257050251}
}

@article{Wu2023LaMiniLMAD,
  title={LaMini-LM: A Diverse Herd of Distilled Models from Large-Scale Instructions},
  author={Minghao Wu and Abdul Waheed and Chiyu Zhang and Muhammad Abdul-Mageed and Alham Fikri Aji},
  journal={ArXiv},
  year={2023},
  volume={abs/2304.14402},
  url={https://api.semanticscholar.org/CorpusID:258352678}
}













% Introduction

@article{Ahuja2023MEGAME,
  title={MEGA: Multilingual Evaluation of Generative AI},
  author={Kabir Ahuja and Rishav Hada and Millicent A. Ochieng and Prachi Jain and Harshita Diddee and Krithika Ramesh and Samuel C. Maina and Tanuja Ganu and Sameer Segal and Maxamed Axmed and Kalika Bali and Sunayana Sitaram},
  journal={ArXiv},
  year={2023},
  volume={abs/2303.12528},
  url={https://api.semanticscholar.org/CorpusID:257663467}
}

@article{Bang2023AMM,
  title={A Multitask, Multilingual, Multimodal Evaluation of ChatGPT on Reasoning, Hallucination, and Interactivity},
  author={Yejin Bang and Samuel Cahyawijaya and Nayeon Lee and Wenliang Dai and Dan Su and Bryan Wilie and Holy Lovenia and Ziwei Ji and Tiezheng Yu and Willy Chung and Quyet V. Do and Yan Xu and Pascale Fung},
  journal={ArXiv},
  year={2023},
  volume={abs/2302.04023},
  url={https://api.semanticscholar.org/CorpusID:256662612}
}

@article{Dong2023ProbingEA,
  title={Probing Explicit and Implicit Gender Bias through LLM Conditional Text Generation},
  author={Xiangjue Dong and Yibo Wang and Philip S. Yu and James Caverlee},
  journal={ArXiv},
  year={2023},
  volume={abs/2311.00306}
}

@article{Motoki2023MoreHT,
  title={More Human than Human: Measuring ChatGPT Political Bias},
  author={Fabio Motoki and Valdemar Pinho Neto and Victor Rodrigues},
  journal={SSRN Electronic Journal},
  year={2023}
}

@article{Khandelwal2023CasteistBN,
  title={Casteist but Not Racist? Quantifying Disparities in Large Language Model Bias between India and the West},
  author={Khyati Khandelwal and Manuel Tonneau and Andrew M. Bean and Hannah Rose Kirk and Scott A. Hale},
  journal={ArXiv},
  year={2023},
  volume={abs/2309.08573}
}

@article{Wang2023AnLM,
  title={An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination Evaluation},
  author={Junyang Wang and Yuhang Wang and Guohai Xu and Jing Zhang and Yukai Gu and Haitao Jia and Ming Yan and Ji Zhang and Jitao Sang},
  journal={ArXiv},
  year={2023},
  volume={abs/2311.07397},
  url={https://api.semanticscholar.org/CorpusID:265149533}
}

@article{Zhang2023SirensSI,
  title={Siren's Song in the AI Ocean: A Survey on Hallucination in Large Language Models},
  author={Yue Zhang and Yafu Li and Leyang Cui and Deng Cai and Lemao Liu and Tingchen Fu and Xinting Huang and Enbo Zhao and Yu Zhang and Yulong Chen and Longyue Wang and Anh Tuan Luu and Wei Bi and Freda Shi and Shuming Shi},
  journal={ArXiv},
  year={2023},
  volume={abs/2309.01219},
  url={https://api.semanticscholar.org/CorpusID:261530162}
}

@inproceedings{McKenna2023SourcesOH,
  title={Sources of Hallucination by Large Language Models on Inference Tasks},
  author={Nick McKenna and Tianyi Li and Liang Cheng and Mohammad Javad Hosseini and Mark Johnson and Mark Steedman},
  booktitle={Conference on Empirical Methods in Natural Language Processing},
  year={2023},
  url={https://api.semanticscholar.org/CorpusID:258865517}
}

@article{Rawte2023ExploringTR,
  title={Exploring the Relationship between LLM Hallucinations and Prompt Linguistic Nuances: Readability, Formality, and Concreteness},
  author={Vipula Rawte and Prachi Priya and S.M. Towhidul Islam Tonmoy and Islam Tonmoy and M Mehedi Zaman and A. Sheth and Amitava Das},
  journal={ArXiv},
  year={2023},
  volume={abs/2309.11064},
  url={https://api.semanticscholar.org/CorpusID:262065814}
}

@incollection{Parra2023Being,
  title={Being Creative with Machines},
  author={Parra Pennefather, Patrick},
  booktitle={Creative Prototyping with Generative AI: Augmenting Creative Workflows with Generative AI},
  pages={27--63},
  year={2023},
  publisher={Springer}
}

@article{Jo2023DecodingTC,
  title={Decoding the ChatGPT mystery: A comprehensive exploration of factors driving AI language model adoption},
  author={Hyeon Jo},
  journal={Information Development},
  year={2023}
}

@article{Maslej2023ArtificialII,
  title={Artificial Intelligence Index Report 2023},
  author={Nestor Maslej and Loredana Fattorini and Erik Brynjolfsson and John Etchemendy and Katrina Ligett and Terah Lyons and James Manyika and Helen Ngo and Juan Carlos Niebles and Vanessa Parli and Yoav Shoham and Russell Wald and Jack Clark and Ray Perrault},
  journal={ArXiv},
  year={2023},
  volume={abs/2310.03715}
}

@article{Wei2022EmergentAO,
  title={Emergent Abilities of Large Language Models},
  author={Jason Wei and Yi Tay and Rishi Bommasani and Colin Raffel and Barret Zoph and Sebastian Borgeaud and Dani Yogatama and Maarten Bosma and Denny Zhou and Donald Metzler and Ed Huai-hsin Chi and Tatsunori Hashimoto and Oriol Vinyals and Percy Liang and Jeff Dean and William Fedus},
  journal={Trans. Mach. Learn. Res.},
  year={2022},
  volume={2022}
}

@article{Valmeekam2023OnTP,
  title={On the Planning Abilities of Large Language Models (A Critical Investigation with a Proposed Benchmark)},
  author={Karthik Valmeekam and Sarath Sreedharan and Matthew Marquez and Alberto Olmo Hernandez and Subbarao Kambhampati},
  journal={ArXiv},
  year={2023},
  volume={abs/2302.06706}
}

@inproceedings{Radford2018ImprovingLU,
  title={Improving Language Understanding by Generative Pre-Training},
  author={Alec Radford and Karthik Narasimhan},
  year={2018}
}

@article{Kasneci2023ChatGPTFG,
  title={ChatGPT for good? On opportunities and challenges of large language models for education},
  author={Enkelejda Kasneci and Kathrin Se{\ss}ler and Stefan K{\"u}chemann and Maria Bannert and Daryna Dementieva and Frank Fischer and Urs Gasser and George Louis Groh and Stephan G{\"u}nnemann and Eyke H{\"u}llermeier and Stephan Krusche and Gitta Kutyniok and Tilman Michaeli and Claudia Nerdel and J{\"u}rgen Pfeffer and Oleksandra Poquet and Michael Sailer and Albrecht Schmidt and Tina Seidel and Matthias Stadler and Jochen Weller and Jochen Kuhn and Gjergji Kasneci},
  journal={Learning and Individual Differences},
  year={2023}
}

@article{Chan2023MangoMH,
  title={"Mango Mango, How to Let The Lettuce Dry Without A Spinner?": Exploring User Perceptions of Using An LLM-Based Conversational Assistant Toward Cooking Partner},
  author={Szeyi Chan and Jiachen Li and Bingsheng Yao and Amama Mahmood and Chien-Ming Huang and Holly Jimison and Elizabeth D. Mynatt and Dakuo Wang},
  journal={ArXiv},
  year={2023},
  volume={abs/2310.05853}
}

@article{Liao2023AITI,
  title={AI Transparency in the Age of LLMs: A Human-Centered Research Roadmap},
  author={Qingzi Vera Liao and Jennifer Wortman Vaughan},
  journal={ArXiv},
  year={2023},
  volume={abs/2306.01941}
}

@article{Zhou2023LanguageAT,
  title={Language Agent Tree Search Unifies Reasoning Acting and Planning in Language Models},
  author={Andy Zhou and Kai Yan and Michal Shlapentokh-Rothman and Haohan Wang and Yu-Xiong Wang},
  journal={ArXiv},
  year={2023},
  volume={abs/2310.04406}
}

@inproceedings{Lomshakov2023FineTuningLL,
  title={Fine-Tuning Large Language Models for Answering Programming Questions with Code Snippets},
  author={Vadim Lomshakov and Sergey V. Kovalchuk and Maxim Omelchenko and Sergey I. Nikolenko and Artem Aliev},
  booktitle={International Conference on Conceptual Structures},
  year={2023}
}

@article{Thirunavukarasu2023LargeLM,
  title={Large language models in medicine},
  author={Arun James Thirunavukarasu and Darren Shu Jeng Ting and Kabilan Elangovan and Laura Gutierrez and Ting Fang Tan and Daniel Shu Wei Ting},
  journal={Nature Medicine},
  year={2023},
  volume={29},
  pages={1930 - 1940}
}

@article{Chakraborty2023ArtificialIE,
  title={Artificial intelligence enabled ChatGPT and large language models in drug target discovery, drug discovery, and development},
  author={Chiranjib Chakraborty and Manojit Bhattacharya and Sang-Soo Lee},
  journal={Molecular Therapy. Nucleic Acids},
  year={2023},
  volume={33},
  pages={866 - 868}
}

@article{McElheran2023AIAI,
  title={AI Adoption in America: Who, What, and Where},
  author={Kristina McElheran and J. Frank Li and Erik Brynjolfsson and Zachary Kroff and Emin M. Dinlersoz and Lucia Foster and Nikolas J. Zolas},
  journal={SSRN Electronic Journal},
  year={2023}
}

%

@inproceedings{Kocin2021SiameseBM,
  title={Siamese BERT-based Model for Web Search Relevance Ranking Evaluated on a New Czech Dataset},
  author={Matej Koci{\'a}n and Jakub N'aplava and Daniel Stancl and Vladim{\'i}r Kadlec},
  booktitle={AAAI Conference on Artificial Intelligence},
  year={2021}
}

@article{Wei2022ChainOT,
  title={Chain of Thought Prompting Elicits Reasoning in Large Language Models},
  author={Jason Wei and Xuezhi Wang and Dale Schuurmans and Maarten Bosma and Ed Huai-hsin Chi and F. Xia and Quoc Le and Denny Zhou},
  journal={ArXiv},
  year={2022},
  volume={abs/2201.11903}
}