{"id":"https://openalex.org/W4408355375","doi":"https://doi.org/10.1109/icassp49660.2025.10888801","title":"GPT-C: Generative PrompT Compression","display_name":"GPT-C: Generative PrompT Compression","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408355375","doi":"https://doi.org/10.1109/icassp49660.2025.10888801"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10888801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100350053","display_name":"Lijun Liu","orcid":"https://orcid.org/0000-0003-4543-0111"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Lijun Liu","raw_affiliation_strings":["Institute of Information Engineering, CAS,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, CAS,Beijing,China","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100706529","display_name":"Rui Wang","orcid":"https://orcid.org/0000-0001-9350-3667"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":["Institute of Information Engineering, CAS,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, CAS,Beijing,China","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013812973","display_name":"Lihua Jing","orcid":"https://orcid.org/0009-0005-6369-7890"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Jing","raw_affiliation_strings":["Institute of Information Engineering, CAS,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, CAS,Beijing,China","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063288528","display_name":"Feixiao Lv","orcid":"https://orcid.org/0009-0009-5033-4870"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Feixiao Lv","raw_affiliation_strings":["Institute of Information Engineering, CAS,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, CAS,Beijing,China","institution_ids":["https://openalex.org/I4210156404"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102922399","display_name":"Zixuan Zhu","orcid":"https://orcid.org/0009-0003-0678-3405"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zixuan Zhu","raw_affiliation_strings":["Institute of Information Engineering, CAS,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, CAS,Beijing,China","institution_ids":["https://openalex.org/I4210156404"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5100350053"],"corresponding_institution_ids":["https://openalex.org/I4210156404"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06334479,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.8895000219345093,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12002","display_name":"Computability, Logic, AI Algorithms","score":0.8895000219345093,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11697","display_name":"Numerical Methods and Algorithms","score":0.8774999976158142,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10054","display_name":"Parallel Computing and Optimization Techniques","score":0.8532000184059143,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/compression","display_name":"Compression (physics)","score":0.5702950954437256},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5113672614097595},{"id":"https://openalex.org/keywords/data-compression","display_name":"Data compression","score":0.4949590563774109},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.44023919105529785},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2519921660423279},{"id":"https://openalex.org/keywords/materials-science","display_name":"Materials science","score":0.17943379282951355},{"id":"https://openalex.org/keywords/composite-material","display_name":"Composite material","score":0.09332296252250671}],"concepts":[{"id":"https://openalex.org/C180016635","wikidata":"https://www.wikidata.org/wiki/Q2712821","display_name":"Compression (physics)","level":2,"score":0.5702950954437256},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5113672614097595},{"id":"https://openalex.org/C78548338","wikidata":"https://www.wikidata.org/wiki/Q2493","display_name":"Data compression","level":2,"score":0.4949590563774109},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.44023919105529785},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2519921660423279},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.17943379282951355},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","level":1,"score":0.09332296252250671}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10888801","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10888801","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2970641574","https://openalex.org/W4205991051","https://openalex.org/W4353015365","https://openalex.org/W4385567182","https://openalex.org/W4389519226","https://openalex.org/W4389524473","https://openalex.org/W4391876619","https://openalex.org/W4392679398","https://openalex.org/W4398152570","https://openalex.org/W4402670850","https://openalex.org/W4402671766","https://openalex.org/W4402671835","https://openalex.org/W4404782961","https://openalex.org/W4404782964","https://openalex.org/W6632455782","https://openalex.org/W6755207826","https://openalex.org/W6769627184","https://openalex.org/W6796581206","https://openalex.org/W6803096969","https://openalex.org/W6809646742","https://openalex.org/W6837789219","https://openalex.org/W6839328737","https://openalex.org/W6851682161","https://openalex.org/W6851812595","https://openalex.org/W6852418670","https://openalex.org/W6854866820","https://openalex.org/W6855125150","https://openalex.org/W6856881632"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2380075625","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2612632602","https://openalex.org/W2321805087"],"abstract_inverted_index":{"Large":[0],"language":[1],"models":[2],"(LLMs)":[3],"increasingly":[4],"rely":[5],"on":[6],"lengthy":[7],"prompts":[8,15,121],"to":[9,34,52,86,118],"achieve":[10],"complex":[11],"tasks.":[12,45,109],"However,":[13],"longer":[14],"not":[16],"only":[17,124],"increase":[18],"inference":[19,36],"costs":[20],"but":[21],"pose":[22],"significant":[23],"challenges":[24],"for":[25],"limited":[26],"context":[27],"windows":[28],"of":[29,57,75,126],"LLMs.":[30],"Prompt":[31],"compression":[32,48,101],"aims":[33],"accelerate":[35],"in":[37,43],"long-text":[38],"scenarios":[39],"while":[40,122],"preserving":[41],"performance":[42,116],"various":[44],"Conventional":[46],"extractive":[47],"methods":[49],"often":[50],"lead":[51],"semantic":[53],"incoherence":[54],"and":[55,103],"loss":[56],"primitive":[58],"key":[59],"information.":[60],"To":[61],"this":[62],"end,":[63],"we":[64,78],"propose":[65],"a":[66,80,93],"Generative":[67],"PrompT":[68],"Compression":[69],"(GPT-C)":[70],"paradigm.":[71],"In":[72],"the":[73,105,119,127],"absence":[74],"appropriate":[76],"datasets,":[77],"design":[79],"Collaborative":[81],"Ordered":[82],"Agent":[83],"(Co-Agent)":[84],"framework":[85],"distill":[87],"high-quality":[88],"datasets.":[89],"We":[90],"then":[91],"develop":[92],"task-agnostic,":[94],"length-adaptive":[95],"reinforcement":[96],"learning":[97],"strategy":[98],"that":[99,113],"controls":[100],"length":[102],"enhances":[104],"generalization":[106],"across":[107],"diverse":[108],"Extensive":[110],"experiments":[111],"demonstrate":[112],"GPT-C":[114],"achieves":[115],"comparable":[117],"original":[120],"utilizing":[123],"20%":[125],"tokens.":[128]},"counts_by_year":[],"updated_date":"2025-12-28T23:10:05.387466","created_date":"2025-10-10T00:00:00"}
