Datasets:

Lots-of-LoRAs
/

task925_coached_conv_pref_classifier

input stringlengths 2.79k 3.96k	output sequencelengths 1 1	id stringlengths 40 40
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-2b1bf6d595164824b25335a36e1f78f5
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "USER" ]	task925-63ff0046625341dba5e7e1d760323702
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-f9dad8c7fe114bf4822e819b985306ac
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "USER" ]	task925-c30a3957214b4e46a75e15a2bb43d2b1
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-490149f3a0c542f49fb6cbfb8c4cf96d
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-13d1082c80f04529afeffb4ffd4c007c
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-319b1d8bf9b64c88b7742deb26329ea3
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-5ce3d4bf9dea49d49ca017b886c00bd8
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-3e1d7d8cb57a463386f20038930535b1
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "USER" ]	task925-6a0f5d6787424738858863720112f7cb
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-a73e2c66ca8d4fb3a9ac99b1ae5946f0
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-bb41959c6eb741d39731f20a1204f1e7
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-ac8061bd7e02466cbfe134f8587924a1
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "USER" ]	task925-04fbef54bac042d985f9a26f02191f18
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-3e532afe64714c74bfc9403ae99e27bc
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "USER" ]	task925-aa17675a1dc243ebb05f5745b1fc0a72
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-32f80d5c72fd4611bd6a346544cb5e57
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-1aa1ef3ad91e44cc9b96e9767667a18e
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-e27be711d1fa468b92b8fd96b264ac7c
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-43ea44cb473d4de58cdc9edf91ea0931
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-eca8c9eca04b4734a59b713d0ea30468
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-eaa6a37483044adc9d3a4c1b800d8747
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-adcc8d366eca4fde8d21835a4c6df8d6
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-0569b95910104963894ca5c123c4d6bd
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "USER" ]	task925-f0f0f91acfe744bcb944b04959fb9295
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-ce30e51bd4c24653a6d12afaef515c02
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-22effc949363439dad437c69dd222088
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-312e4e632a3e477ebc386f7ab8ff7e74
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "USER" ]	task925-6536350e287048e9920cff0d2b34deed
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-ebc6fb7ebab84fe281632536583d728c
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "USER" ]	task925-1d21481a5a584489b39b28df45c2d81b
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "USER" ]	task925-1af127118eaa443a9afc514af53d8656
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-2502db8c3daf440b9842ea81966484b5
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-a1dfa8b8bac34171b938d95127dfc214
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-8d813efa1c18479e99e74503b3a67ba3
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-e043b7b1655540aabedbb454219b69c4
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-6aa0c91f8f27420a889fa1492217c854
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-74f2449572b8493ba30a52aad0c0735d
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-96f6630024d94e89b6862e5a6c672f96
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-6f289b9e0f134ca48f8ab60575d4604b
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-1192641f97504283bee432c13b60388a
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-5cb8d459f94b4d478ead7572ffe0d791
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-0a519e824b1f498b93692ca252c3cd6c
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "USER" ]	task925-9325014f5ce44a55914d6a3430f823c2
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-452dffa8b64c49b5976745a8ddb3e7b0
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-4b7484788ed644179aa7abc58bab3076
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-1b3f2d6cab0e48f0a9f4880a889f4f38
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "USER" ]	task925-fba89a6f114942d289ea7bf3062e2ef7
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-872d69b5ce64410eb5a2304c9fc72c3d
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-effb5651339e4e3c9b189497c9896ceb
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-2dae2b490ed2411d97d490a3705dce31
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-89be13cad4dc4814aa7021c8f46ecf5d
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "USER" ]	task925-967214495b824121b253678e12d43ce0
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-f285deed334b414ab91ae67355196135
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-6b2a06293b744867b0820ca22f91f271
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-ffc50a97e8db4640bde4056adddb5e07
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-6fa87ec244d14674837ccf59ee455c3f
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-4a3a45c4dd004853ab0b5cd27b0bf95a
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-4e8788a2436747208d00ee9e4d3f66c4
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "ASSISTANT" ]	task925-8d09677907fc4e9791c9f48de9c77a9a
Definition: You are provided with a list of converations between a "USER" and "ASSISTANT". Figure out if the conversation provided as "classify_text" is authored by "USER" or "ASSISTANT". There are maximum of 7 conversations between "USER" and "ASSISTANT" in each input Positive Example 1 - Input: ASSISTANT: generally ...	[ "USER" ]	task925-d46ac0fa3c4d41e9ba3849762e871a9d

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Dataset Card for Natural Instructions (https://github.com/allenai/natural-instructions) Task: task925_coached_conv_pref_classifier

Additional Information

Citation Information

The following paper introduces the corpus in detail. If you use the corpus in published work, please cite it:

@misc{wang2022supernaturalinstructionsgeneralizationdeclarativeinstructions,
    title={Super-NaturalInstructions: Generalization via Declarative Instructions on 1600+ NLP Tasks}, 
    author={Yizhong Wang and Swaroop Mishra and Pegah Alipoormolabashi and Yeganeh Kordi and Amirreza Mirzaei and Anjana Arunkumar and Arjun Ashok and Arut Selvan Dhanasekaran and Atharva Naik and David Stap and Eshaan Pathak and Giannis Karamanolakis and Haizhi Gary Lai and Ishan Purohit and Ishani Mondal and Jacob Anderson and Kirby Kuznia and Krima Doshi and Maitreya Patel and Kuntal Kumar Pal and Mehrad Moradshahi and Mihir Parmar and Mirali Purohit and Neeraj Varshney and Phani Rohitha Kaza and Pulkit Verma and Ravsehaj Singh Puri and Rushang Karia and Shailaja Keyur Sampat and Savan Doshi and Siddhartha Mishra and Sujan Reddy and Sumanta Patro and Tanay Dixit and Xudong Shen and Chitta Baral and Yejin Choi and Noah A. Smith and Hannaneh Hajishirzi and Daniel Khashabi},
    year={2022},
    eprint={2204.07705},
    archivePrefix={arXiv},
    primaryClass={cs.CL},
    url={https://arxiv.org/abs/2204.07705}, 
}

More details can also be found in the following paper:

@misc{brüelgabrielsson2024compressserveservingthousands,
    title={Compress then Serve: Serving Thousands of LoRA Adapters with Little Overhead}, 
    author={Rickard Brüel-Gabrielsson and Jiacheng Zhu and Onkar Bhardwaj and Leshem Choshen and Kristjan Greenewald and Mikhail Yurochkin and Justin Solomon},
    year={2024},
    eprint={2407.00066},
    archivePrefix={arXiv},
    primaryClass={cs.DC},
    url={https://arxiv.org/abs/2407.00066}, 
}