@inproceedings{barmi2011Alignment,

title = {Alignment of {{Requirements Specification}} and {{Testing}}: {{A Systematic Mapping Study}}},

shorttitle = {Alignment of {{Requirements Specification}} and {{Testing}}},

booktitle = {2011 {{IEEE Fourth International Conference}} on {{Software Testing}}, {{Verification}} and {{Validation Workshops}}},

author = {Barmi, Zeinab Alizadeh and Ebrahimi, Amir Hossein and Feldt, Robert},

year = {2011},

month = mar,

pages = {476--485},

doi = {10.1109/ICSTW.2011.58},

urldate = {2025-02-03},

keywords = {Data mining,Joining processes,Programming,Software,Systematics,Testing,Web services}

}

@article{bjarnason2014Challenges,

title = {Challenges and Practices in Aligning Requirements with Verification and Validation: A Case Study of Six Companies},

shorttitle = {Challenges and Practices in Aligning Requirements with Verification and Validation},

author = {Bjarnason, Elizabeth and Runeson, Per and Borg, Markus and Unterkalmsteiner, Michael and Engstr{\"o}m, Emelie and Regnell, Bj{\"o}rn and Sabaliauskaite, Giedre and Loconsole, Annabella and Gorschek, Tony and Feldt, Robert},

year = {2014},

month = dec,

journal = {Empirical Software Engineering},

volume = {19},

number = {6},

pages = {1809--1855},

issn = {1573-7616},

doi = {10.1007/s10664-013-9263-y},

urldate = {2025-02-03},

langid = {english},

keywords = {Alignment,Case study,Requirements engineering,Testing,Validation,Verification}

}

@misc{chen2024EfficientQAT,

title = {{{EfficientQAT}}: {{Efficient Quantization-Aware Training}} for {{Large Language Models}}},

shorttitle = {{{EfficientQAT}}},

author = {Chen, Mengzhao and Shao, Wenqi and Xu, Peng and Wang, Jiahao and Gao, Peng and Zhang, Kaipeng and Luo, Ping},

year = {2024},

month = oct,

number = {arXiv:2407.11062},

eprint = {2407.11062},

primaryclass = {cs},

publisher = {arXiv},

doi = {10.48550/arXiv.2407.11062},

urldate = {2025-02-03},

archiveprefix = {arXiv},

keywords = {Computer Science - Artificial Intelligence,Computer Science - Computation and Language,Computer Science - Machine Learning}

}

@misc{frantar2023GPTQ,

title = {{{GPTQ}}: {{Accurate Post-Training Quantization}} for {{Generative Pre-trained Transformers}}},

shorttitle = {{{GPTQ}}},

author = {Frantar, Elias and Ashkboos, Saleh and Hoefler, Torsten and Alistarh, Dan},

year = {2023},

month = mar,

number = {arXiv:2210.17323},

eprint = {2210.17323},

primaryclass = {cs},

publisher = {arXiv},

doi = {10.48550/arXiv.2210.17323},

urldate = {2025-02-03},

archiveprefix = {arXiv},

keywords = {Computer Science - Machine Learning}

}

@misc{dettmers2023SpQR,

title = {{{SpQR}}: {{A Sparse-Quantized Representation}} for {{Near-Lossless LLM Weight Compression}}},

shorttitle = {{{SpQR}}},

author = {Dettmers, Tim and Svirschevski, Ruslan and Egiazarian, Vage and Kuznedelev, Denis and Frantar, Elias and Ashkboos, Saleh and Borzunov, Alexander and Hoefler, Torsten and Alistarh, Dan},

year = {2023},

month = jun,

number = {arXiv:2306.03078},

eprint = {2306.03078},

primaryclass = {cs},

publisher = {arXiv},

doi = {10.48550/arXiv.2306.03078},

urldate = {2025-02-03},

archiveprefix = {arXiv},

keywords = {Computer Science - Computation and Language,Computer Science - Machine Learning}

}

@inproceedings{gomes2017Challenges,

title = {Challenges of {{Aligning Requirements Engineering}} and {{System Testing}} in {{Large-Scale Agile}}: {{A Multiple Case Study}}},

shorttitle = {Challenges of {{Aligning Requirements Engineering}} and {{System Testing}} in {{Large-Scale Agile}}},

booktitle = {2017 {{IEEE}} 25th {{International Requirements Engineering Conference Workshops}} ({{REW}})},

author = {Gomes De Oliveira Neto, Francisco and Horkoff, Jennifer and Knauss, Eric and Kasauli, Rashidah and Liebel, Grischa},

year = {2017},

month = sep,

pages = {315--322},

doi = {10.1109/REW.2017.33},

urldate = {2025-02-03},

keywords = {Companies,Conferences,large-scale agile system development,requirements engineering,Requirements engineering,Software,Stakeholders,System testing,system testing alignment}

}

@article{lin2024AWQ,

title = {{{AWQ}}: {{Activation-aware Weight Quantization}} for {{On-Device LLM Compression}} and {{Acceleration}}},

shorttitle = {{{AWQ}}},

author = {Lin, Ji and Tang, Jiaming and Tang, Haotian and Yang, Shang and Chen, Wei-Ming and Wang, Wei-Chen and Xiao, Guangxuan and Dang, Xingyu and Gan, Chuang and Han, Song},

year = {2024},

month = may,

journal = {Proceedings of Machine Learning and Systems},

volume = {6},

pages = {87--100},

urldate = {2025-02-02},

langid = {english}

}

@misc{liu2023Emergent,

title = {Do {{Emergent Abilities Exist}} in {{Quantized Large Language Models}}: {{An Empirical Study}}},

shorttitle = {Do {{Emergent Abilities Exist}} in {{Quantized Large Language Models}}},

author = {Liu, Peiyu and Liu, Zikang and Gao, Ze-Feng and Gao, Dawei and Zhao, Wayne Xin and Li, Yaliang and Ding, Bolin and Wen, Ji-Rong},

year = {2023},

month = jul,

number = {arXiv:2307.08072},

eprint = {2307.08072},

primaryclass = {cs},

publisher = {arXiv},

doi = {10.48550/arXiv.2307.08072},

urldate = {2025-01-30},

archiveprefix = {arXiv},

keywords = {Computer Science - Artificial Intelligence,Computer Science - Computation and Language}

}

@misc{naveed2024Comprehensive,

title = {A {{Comprehensive Overview}} of {{Large Language Models}}},

author = {Naveed, Humza and Khan, Asad Ullah and Qiu, Shi and Saqib, Muhammad and Anwar, Saeed and Usman, Muhammad and Akhtar, Naveed and Barnes, Nick and Mian, Ajmal},

year = {2024},

month = oct,

number = {arXiv:2307.06435},

eprint = {2307.06435},

primaryclass = {cs},

publisher = {arXiv},

doi = {10.48550/arXiv.2307.06435},

urldate = {2025-02-03},

archiveprefix = {arXiv},

keywords = {Computer Science - Computation and Language}

}

@inproceedings{rasley2020DeepSpeed,

title = {{{DeepSpeed}}: {{System Optimizations Enable Training Deep Learning Models}} with {{Over}} 100 {{Billion Parameters}}},

shorttitle = {{{DeepSpeed}}},

booktitle = {Proceedings of the 26th {{ACM SIGKDD International Conference}} on {{Knowledge Discovery}} \& {{Data Mining}}},

author = {Rasley, Jeff and Rajbhandari, Samyam and Ruwase, Olatunji and He, Yuxiong},

year = {2020},

month = aug,

series = {{{KDD}} '20},

pages = {3505--3506},

publisher = {Association for Computing Machinery},

address = {New York, NY, USA},

doi = {10.1145/3394486.3406703},

urldate = {2025-02-03},

isbn = {978-1-4503-7998-4}

}

@article{unterkalmsteiner2014Taxonomy,

title = {A Taxonomy for Requirements Engineering and Software Test Alignment},

author = {Unterkalmsteiner, M. and Feldt, R. and Gorschek, T.},

year = {2014},

month = apr,

journal = {ACM Trans. Softw. Eng. Methodol.},

volume = {23},

number = {2},

pages = {16:1--16:38},

issn = {1049-331X},

doi = {10.1145/2523088},

urldate = {2025-02-03},

}

@inproceedings{xiao2023SmoothQuant,

title = {{{SmoothQuant}}: {{Accurate}} and {{Efficient Post-Training Quantization}} for {{Large Language Models}}},

shorttitle = {{{SmoothQuant}}},

booktitle = {Proceedings of the 40th {{International Conference}} on {{Machine Learning}}},

author = {Xiao, Guangxuan and Lin, Ji and Seznec, Mickael and Wu, Hao and Demouth, Julien and Han, Song},

year = {2023},

month = jul,

pages = {38087--38099},

publisher = {PMLR},

issn = {2640-3498},

urldate = {2025-02-03},

langid = {english}

}

@misc{zhang2024Scaling,

title = {When {{Scaling Meets LLM Finetuning}}: {{The Effect}} of {{Data}}, {{Model}} and {{Finetuning Method}}},

shorttitle = {When {{Scaling Meets LLM Finetuning}}},

author = {Zhang, Biao and Liu, Zhongtao and Cherry, Colin and Firat, Orhan},

year = {2024},

month = feb,

number = {arXiv:2402.17193},

eprint = {2402.17193},

primaryclass = {cs},

publisher = {arXiv},

doi = {10.48550/arXiv.2402.17193},

urldate = {2025-02-03},

archiveprefix = {arXiv},

keywords = {Computer Science - Computation and Language,Computer Science - Machine Learning}

}

@article{zhu2024Survey,

title = {A {{Survey}} on {{Model Compression}} for {{Large Language Models}}},

author = {Zhu, Xunyu and Li, Jian and Liu, Yong and Ma, Can and Wang, Weiping},

year = {2024},

month = nov,

journal = {Transactions of the Association for Computational Linguistics},

volume = {12},

pages = {1556--1577},

issn = {2307-387X},

doi = {10.1162/tacl_a_00704},

urldate = {2025-02-03},

}

@article{vaswani2017Attention,

title = {Attention Is All You Need},

author = {Vaswani, A. and Shazeer, N and Parmar, N and Uszkoreit, J and Jones, L and Gomez, A and Kaiser, L and Polosukhin, I},

year = {2017},

journal = {Advances in Neural Information Processing Systems},

urldate = {2025-02-03}

}

@incollection{jones1994Natural,

title = {Natural {{Language Processing}}: {{A Historical Review}}},

shorttitle = {Natural {{Language Processing}}},

booktitle = {Current {{Issues}} in {{Computational Linguistics}}: {{In Honour}} of {{Don Walker}}},

author = {Jones, Karen Sparck},

editor = {Zampolli, Antonio and Calzolari, Nicoletta and Palmer, Martha},

year = {1994},

pages = {3--16},

publisher = {Springer Netherlands},

address = {Dordrecht},

doi = {10.1007/978-0-585-35958-8_1},

urldate = {2025-02-03},

isbn = {978-0-585-35958-8},

langid = {english},

keywords = {Ambiguity Resolution,Machine Translation,Natural Language Processing,Natural Language Processing System,World Knowledge}

}

@misc{dettmers2022LLMint8,

title={LLM.int8(): 8-bit Matrix Multiplication for Transformers at Scale},

author={Tim Dettmers and Mike Lewis and Younes Belkada and Luke Zettlemoyer},

year={2022},

eprint={2208.07339},

archivePrefix={arXiv},

primaryClass={cs.LG},

url={https://arxiv.org/abs/2208.07339},

}

@misc{li2023Nuances,

title={Nuances are the Key: Unlocking ChatGPT to Find Failure-Inducing Tests with Differential Prompting},

author={Tsz-On Li and Wenxi Zong and Yibo Wang and Haoye Tian and Ying Wang and Shing-Chi Cheung and Jeff Kramer},

year={2023},

eprint={2304.11686},

archivePrefix={arXiv},

primaryClass={cs.SE},

url={https://arxiv.org/abs/2304.11686},

}

@misc{li2024LLMTest,

title={Large Language Models as Test Case Generators: Performance Evaluation and Enhancement},

author={Kefan Li and Yuan Yuan},

year={2024},

eprint={2404.13340},

archivePrefix={arXiv},

primaryClass={cs.SE},

url={https://arxiv.org/abs/2404.13340},

}

@article{egashira2024Exploiting,

title={Exploiting LLM Quantization},

author={Egashira, Kazuki and Vero, Mark and Staab, Robin and He, Jingxuan and Vechev, Martin},

journal={arXiv preprint arXiv:2405.18137},

year={2024}

}

@misc{minaee2024LLMSurvey,

title = {Large {{Language Models}}: {{A Survey}}},

shorttitle = {Large {{Language Models}}},

author = {Minaee, Shervin and Mikolov, Tomas and Nikzad, Narjes and Chenaghlu, Meysam and Socher, Richard and Amatriain, Xavier and Gao, Jianfeng},

year = {2024},

month = feb,

number = {arXiv:2402.06196},

eprint = {2402.06196},

primaryclass = {cs},

publisher = {arXiv},

doi = {10.48550/arXiv.2402.06196},

urldate = {2025-02-03},

archiveprefix = {arXiv},

keywords = {Computer Science - Artificial Intelligence,Computer Science - Computation and Language}

}

@inproceedings{bhatia2024UnitTest,

title = {Unit {{Test Generation}} Using {{Generative AI}} : {{A Comparative Performance Analysis}} of {{Autogeneration Tools}}},

shorttitle = {Unit {{Test Generation}} Using {{Generative AI}}},

booktitle = {Proceedings of the 1st {{International Workshop}} on {{Large Language Models}} for {{Code}}},

author = {Bhatia, Shreya and Gandhi, Tarushi and Kumar, Dhruv and Jalote, Pankaj},

year = {2024},

month = sep,

series = {{{LLM4Code}} '24},

pages = {54--61},

publisher = {Association for Computing Machinery},

address = {New York, NY, USA},

doi = {10.1145/3643795.3648396},

urldate = {2025-02-07},

isbn = {979-8-4007-0579-3}

}

@inproceedings{karhaapa2017What,

address = {New York, NY, USA},

series = {{EASE} '17},

title = {What {Do} {We} {Know} about {Alignment} of {Requirements} {Engineering} and {Software} {Testing}?},

isbn = {978-1-4503-4804-1},

url = {https://dl.acm.org/doi/10.1145/3084226.3084265},

doi = {10.1145/3084226.3084265},

urldate = {2025-02-06},

booktitle = {Proceedings of the 21st {International} {Conference} on {Evaluation} and {Assessment} in {Software} {Engineering}},

publisher = {Association for Computing Machinery},

author = {Karhapää, Pertti and Haghighatkhah, Alireza and Oivo, Markku},

month = jun,

year = {2017},

pages = {354--363},

}

@mastersthesis{ivarsson2023automated,

author = {Ivarsson, Samuel and Setterström, Jesper},

title = {Automated Alignment of Software Requirements and Test Cases},

school = {Chalmers University of Technology},

year = {2023},

month = {August},

url = {http://hdl.handle.net/20.500.12380/306739},

}

%TODO: verify / update

@misc{quinstedt2024Optimizing,

author = {Nicole Andrea Quinstedt and Bao Quan Lindgren},

title = {Optimizing {{AI-Driven Traceability}}: {{A Comparative Study}} of {{Language Models}} for {{Requirement}} and {{Software Test}} {{Alignment}}},

year = {2024},

month = {June},

howpublished = {Bachelor's thesis},

institution = {University of Gothenburg, Chalmers University of Technology},

address = {Gothenburg, Sweden},

supervisor = {Francisco Gomes de Oliveira Neto},

examiner = {Philipp Leitner},

note = {Unpublished bachelor's thesis},

langid = {english}

}

@article{jaber2013Effect,

title = {A {{Study}} on the {{Effect}} of {{Traceability Links}} in {{Software Maintenance}}},

author = {Jaber, Khaled and Sharif, Bonita and Liu, Chang},

year = {2013},

journal = {IEEE Access},

volume = {1},

pages = {726--741},

issn = {2169-3536},

doi = {10.1109/ACCESS.2013.2286822},

urldate = {2025-02-25},

keywords = {Business,empirical study,Maintenance engineering,Software engineering,software maintenance,Software systems,Teamwork,traceability links,Unified modeling language}

}

@article{jaber2013Study,

title={A study on the effect of traceability links in software maintenance},

author={Jaber, Khaled and Sharif, Bonita and Liu, Chang},

journal={IEEE Access},

volume={1},

pages={726--741},

year={2013},

publisher={IEEE}

}

@book{wohlin2012experimentation,

title={Experimentation in Software Engineering},

author={Wohlin, C. and Runeson, P. and H{\"o}st, M. and Ohlsson, M.C. and Regnell, B. and Wessl{\'e}n, A.},

isbn={9783642290442},

series={Computer Science},

url={https://books.google.se/books?id=QPVsM1_U8nkC},

year={2012},

publisher={Springer Berlin Heidelberg}

}

@article{bai2024beyond,

title={Beyond efficiency: A systematic survey of resource-efficient large language models},

author={Bai, Guangji and Chai, Zheng and Ling, Chen and Wang, Shiyu and Lu, Jiaying and Zhang, Nan and Shi, Tingwei and Yu, Ziyang and Zhu, Mengdan and Zhang, Yifei and others},

journal={arXiv preprint arXiv:2401.00625},

year={2024}

}

@inproceedings{shen2024exploring,

title={Exploring Quantization Techniques for Large-Scale Language Models: Methods, Challenges and Future Directions},

author={Shen, Ao and Lai, Zhiquan and Li, Dongsheng},

booktitle={Proceedings of the 2024 9th International Conference on Cyber Security and Information Engineering},

pages={783--790},

year={2024}

}

@article{zhao2025benchmarking,

title={Benchmarking Post-Training Quantization in LLMs: Comprehensive Taxonomy, Unified Evaluation, and Comparative Analysis},

author={Zhao, Jiaqi and Wang, Ming and Zhang, Miao and Shang, Yuzhang and Liu, Xuebo and Wang, Yaowei and Zhang, Min and Nie, Liqiang},

journal={arXiv preprint arXiv:2502.13178},

year={2025}

}

@article{dettmers2023qlora,

title={Qlora: Efficient finetuning of quantized llms},

author={Dettmers, Tim and Pagnoni, Artidoro and Holtzman, Ari and Zettlemoyer, Luke},

journal={Advances in neural information processing systems},

volume={36},

pages={10088--10115},

year={2023}

}

@inproceedings{rajput2024benchmarking,

title={Benchmarking emerging deep learning quantization methods for energy efficiency},

author={Rajput, Saurabhsingh and Sharma, Tushar},

booktitle={2024 IEEE 21st International Conference on Software Architecture Companion (ICSA-C)},

pages={238--242},

year={2024},

organization={IEEE}

}

@article{abdi2010HolmBonferroni,

title = {Holm’s sequential {Bonferroni} procedure},

volume = {1},

url = {https://www.utdallas.edu/~Herve/abdi-Holm2010-pretty.pdf},

number = {8},

urldate = {2025-03-10},

journal = {Encyclopedia of research design},

author = {Abdi, Herv{\'e}},

year = {2010},

publisher={Thousand Oaks, California},

pages = {1--8},

}

% THE FOLLOWING TWO PAPERS ARE THE SOURCES FOR THE METHODS - THEY DON'T COMPARE THE APPROACHES / RECOMMEND EITHER

@techreport{conover1979conoverImanTest,

title = {Multiple-comparisons procedures. {Informal} report},

url = {https://www.osti.gov/biblio/6057803},

abstract = {Some of the more popular multiple-comparisons procedures are discussed and compared. Some new nonparametric methods are introduced. One procedure is an analog to the Fisher's least-significant-difference method for the completely randomized design. Some simulation studies indicate this procedure is a reasonable nonparametric method to use. A summary description is given for other nonparametric methods, which may be used with the completely randomized or randomized blocks designs. 3 tables.},

language = {English},

number = {LA-7677-MS},

urldate = {2025-03-10},

institution = {Los Alamos National Lab. (LANL), Los Alamos, NM (United States)},

author = {Conover, William Jay and Iman, Ronald L.},

month = feb,

year = {1979},

doi = {10.2172/6057803},

}

@article{dunn1964dunnTest,

title = {Multiple {Comparisons} {Using} {Rank} {Sums}},

volume = {6},

issn = {0040-1706},

url = {https://www.tandfonline.com/doi/abs/10.1080/00401706.1964.10490181},

doi = {10.1080/00401706.1964.10490181},

abstract = {This paper considers the use of rank sums from a combined ranking of k independent samples in order to decide which populations differ. Such a procedure is suggested as a convenient alternative to making separate rankings for each pair of samples, and the two methods are compared. Asymptotic use of the normal tables is given and the treatment of ties is discussed. A numerical example is given.},

number = {3},

urldate = {2025-03-10},

journal = {Technometrics},

author = {Dunn, Olive Jean},

month = aug,

year = {1964},

note = {Publisher: ASA Website

\_eprint: https://www.tandfonline.com/doi/pdf/10.1080/00401706.1964.10490181},

pages = {241--252},

}

@article{wang2024Testing,

title = {Software {{Testing With Large Language Models}}: {{Survey}}, {{Landscape}}, and {{Vision}}},

shorttitle = {Software {{Testing With Large Language Models}}},

author = {Wang, Junjie and Huang, Yuchao and Chen, Chunyang and Liu, Zhe and Wang, Song and Wang, Qing},

year = {2024},

month = apr,

journal = {IEEE Transactions on Software Engineering},

volume = {50},

number = {4},

pages = {911--936},

issn = {1939-3520},

doi = {10.1109/TSE.2024.3368208},

urldate = {2025-03-13},

keywords = {Codes,Computational modeling,GPT,LLM,Natural language processing,Pre-trained large language model,Reviews,Software systems,software testing,Software testing,Task analysis}

}

@article{li2024Static,

title = {Enhancing {{Static Analysis}} for {{Practical Bug Detection}}: {{An LLM-Integrated Approach}}},

shorttitle = {Enhancing {{Static Analysis}} for {{Practical Bug Detection}}},

author = {Li, Haonan and Hao, Yu and Zhai, Yizhuo and Qian, Zhiyun},

year = {2024},

month = apr,

journal = {Enhancing Static Analysis for Practical Bug Detection: An LLM-Integrated Approach (Artifact)},

volume = {8},

number = {OOPSLA1},

pages = {111:474--111:499},

doi = {10.1145/3649828},

urldate = {2025-03-13},

}

@incollection{arora2024Advancing,

title = {Advancing {{Requirements Engineering Through Generative AI}}: {{Assessing}} the {{Role}} of {{LLMs}}},

shorttitle = {Advancing {{Requirements Engineering Through Generative AI}}},

booktitle = {Generative {{AI}} for {{Effective Software Development}}},

author = {Arora, Chetan and Grundy, John and Abdelrazek, Mohamed},

editor = {{Nguyen-Duc}, Anh and Abrahamsson, Pekka and Khomh, Foutse},

year = {2024},

pages = {129--148},

publisher = {Springer Nature Switzerland},

address = {Cham},

doi = {10.1007/978-3-031-55642-5_6},

urldate = {2025-03-13},

isbn = {978-3-031-55642-5},

langid = {english},

keywords = {Generative AI,Large language models (LLMs),Natural language processing,Requirements engineering,Software engineering}

}

@article{wang2024Software,

title = {Software {{Testing With Large Language Models}}: {{Survey}}, {{Landscape}}, and {{Vision}}},

shorttitle = {Software {{Testing With Large Language Models}}},

author = {Wang, Junjie and Huang, Yuchao and Chen, Chunyang and Liu, Zhe and Wang, Song and Wang, Qing},

year = {2024},

month = apr,

journal = {IEEE Transactions on Software Engineering},

volume = {50},

number = {4},

pages = {911--936},

issn = {1939-3520},

doi = {10.1109/TSE.2024.3368208},

urldate = {2025-03-13},

keywords = {Codes,Computational modeling,GPT,LLM,Natural language processing,Pre-trained large language model,Reviews,Software systems,software testing,Software testing,Task analysis}

}

@article{dakhel2024Effective,

title = {Effective Test Generation Using Pre-Trained {{Large Language Models}} and Mutation Testing},

author = {Dakhel, Arghavan Moradi and Nikanjam, Amin and Majdinasab, Vahid and Khomh, Foutse and Desmarais, Michel C.},

year = {2024},

month = jul,

journal = {Information and Software Technology},

volume = {171},

pages = {107468},

issn = {0950-5849},

doi = {10.1016/j.infsof.2024.107468},

urldate = {2025-03-13},

keywords = {Large language model,Mutation testing,Test generation}

}

@article{mccrum2008statisticalTests,

title={Which is the correct statistical test to use?},

author={McCrum-Gardner, Evie},

journal={British Journal of Oral and Maxillofacial Surgery},

volume={46},

number={1},

pages={38--41},

year={2008},

publisher={Elsevier}

}

@inproceedings{babenko2014additive,

title={Additive quantization for extreme vector compression},

author={Babenko, Artem and Lempitsky, Victor},

booktitle={Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition},

pages={931--938},

year={2014}

}

@article{egiazarian2024AQLM,

title={Extreme compression of large language models via additive quantization},

author={Egiazarian, Vage and Panferov, Andrei and Kuznedelev, Denis and Frantar, Elias and Babenko, Artem and Alistarh, Dan},

journal={arXiv preprint arXiv:2401.06118},

year={2024}

}

@inproceedings{lahitani2016cosine,

title={Cosine similarity to determine similarity measure: Study case in online essay assessment},

author={Lahitani, Alfirna Rizqi and Permanasari, Adhistya Erna and Setiawan, Noor Akhmad},

booktitle={2016 4th International conference on cyber and IT service management},

pages={1--6},

year={2016},

organization={IEEE}

}

@inproceedings{desku2021cosine,

title={Cosine similarity through control flow graphs for secure software engineering},

author={Desku, Astrit and Raufi, Bujar and Luma, Artan and Selimi, Besnik},

booktitle={2021 International Conference on Engineering and Emerging Technologies (ICEET)},

pages={1--4},

year={2021},

organization={IEEE}

}

@article{vargha2000Effect,

title={A critique and improvement of the CL common language effect size statistics of McGraw and Wong},

author={Vargha, Andr{\'a}s and Delaney, Harold D},

journal={Journal of Educational and Behavioral Statistics},

volume={25},

number={2},

pages={101--132},

year={2000},

publisher={Sage Publications Sage CA: Los Angeles, CA}

}

@article{bookstein2002hammingdistance,

title={Generalized hamming distance},

author={Bookstein, Abraham and Kulyukin, Vladimir A and Raita, Timo},

journal={Information Retrieval},

volume={5},

pages={353--375},

year={2002},

publisher={Springer}

}

@article{chi2005chisquare,

title={Chi-square distribution},

author={Lancaster, Henry Oliver and Seneta, Eugene},

journal={Encyclopedia of biostatistics},

volume={2},

year={2005},

publisher={Wiley Online Library}

}

@article{danielsson1980euclidean,

title={Euclidean distance mapping},

author={Danielsson, Per-Erik},

journal={Computer Graphics and image processing},

volume={14},

number={3},

pages={227--248},

year={1980},

publisher={Elsevier}

}

@article{kerby2014simplediff,

title={The simple difference formula: An approach to teaching nonparametric correlation},

author={Kerby, Dave S},

journal={Comprehensive Psychology},

volume={3},

pages={11--IT},

year={2014},

publisher={SAGE Publications Sage CA: Los Angeles, CA}

}

@article{woolson2005wilcoxon,

title={Wilcoxon signed-rank test},

author={Woolson, Robert F},

journal={Encyclopedia of biostatistics},

volume={8},

year={2005},

publisher={Wiley Online Library}

}