{"id":"https://openalex.org/W4412888658","doi":"https://doi.org/10.18653/v1/2025.findings-acl.276","title":"Chain of Methodologies: Scaling Test Time Computation without Training","display_name":"Chain of Methodologies: Scaling Test Time Computation without Training","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412888658","doi":"https://doi.org/10.18653/v1/2025.findings-acl.276"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2025.findings-acl.276","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.276","pdf_url":"https://aclanthology.org/2025.findings-acl.276.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-acl.276.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5020573256","display_name":"Cong Liu","orcid":"https://orcid.org/0000-0003-2855-4710"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cong Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068550189","display_name":"Jie Wu","orcid":"https://orcid.org/0009-0001-6563-9775"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jie Wu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084826798","display_name":"Weigang Wu","orcid":"https://orcid.org/0000-0002-4714-7021"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Weigang Wu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100385730","display_name":"Xu Chen","orcid":"https://orcid.org/0000-0002-7299-3238"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu Chen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100342077","display_name":"Liang Lin","orcid":"https://orcid.org/0000-0003-2868-9199"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liang Lin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5108050904","display_name":"Wei\u2010Shi Zheng","orcid":"https://orcid.org/0000-0001-8327-0003"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei-Shi Zheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17566222,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"5298","last_page":"5312"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.9192000031471252,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/T11450","display_name":"Model-Driven Software Engineering Techniques","score":0.9192000031471252,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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":0.9154000282287598,"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/computer-science","display_name":"Computer science","score":0.6744909286499023},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.5649192929267883},{"id":"https://openalex.org/keywords/test","display_name":"Test (biology)","score":0.5481187105178833},{"id":"https://openalex.org/keywords/scaling","display_name":"Scaling","score":0.49249038100242615},{"id":"https://openalex.org/keywords/chain","display_name":"Chain (unit)","score":0.42379194498062134},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.23435670137405396},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13516128063201904}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6744909286499023},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.5649192929267883},{"id":"https://openalex.org/C2777267654","wikidata":"https://www.wikidata.org/wiki/Q3519023","display_name":"Test (biology)","level":2,"score":0.5481187105178833},{"id":"https://openalex.org/C99844830","wikidata":"https://www.wikidata.org/wiki/Q102441924","display_name":"Scaling","level":2,"score":0.49249038100242615},{"id":"https://openalex.org/C199185054","wikidata":"https://www.wikidata.org/wiki/Q552299","display_name":"Chain (unit)","level":2,"score":0.42379194498062134},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.23435670137405396},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13516128063201904},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-acl.276","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.276","pdf_url":"https://aclanthology.org/2025.findings-acl.276.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-acl.276","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-acl.276","pdf_url":"https://aclanthology.org/2025.findings-acl.276.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: ACL 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4412888658.pdf","grobid_xml":"https://content.openalex.org/works/W4412888658.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W1673520459"],"abstract_inverted_index":{"Large":[0],"Language":[1],"Models":[2],"(LLMs)":[3],"often":[4],"struggle":[5],"with":[6,55],"complex":[7,53,91],"reasoning":[8,67,92,100],"tasks":[9,54,93],"due":[10],"to":[11,51],"insufficient":[12],"in-depth":[13],"insights":[14],"in":[15,23],"their":[16],"training":[17],"data,":[18],"which":[19],"are":[20],"typically":[21],"absent":[22],"publicly":[24],"available":[25],"documents.This":[26],"paper":[27],"introduces":[28],"the":[29,59,81,96],"Chain":[30],"of":[31,62,83],"Methodologies":[32],"(CoM),":[33],"an":[34],"innovative":[35],"and":[36,94],"intuitive":[37],"prompting":[38,85],"framework":[39],"that":[40,75],"enhances":[41],"structured":[42],"thinking":[43],"by":[44],"integrating":[45],"human":[46],"methodological":[47,103],"insights,":[48],"enabling":[49],"LLMs":[50],"tackle":[52],"extended":[56],"reasoning.CoM":[57],"leverages":[58],"metacognitive":[60],"abilities":[61],"advanced":[63],"LLMs,":[64],"activating":[65],"systematic":[66],"throught":[68],"user-defined":[69],"methodologies":[70],"without":[71],"explicit":[72],"fine-tuning.Experiments":[73],"show":[74],"CoM":[76],"surpasses":[77],"competitive":[78],"baselines,":[79],"demonstrating":[80],"potential":[82],"trainingfree":[84],"methods":[86],"as":[87],"robust":[88],"solutions":[89],"for":[90],"bridging":[95],"gap":[97],"toward":[98],"human-level":[99],"through":[101],"humanlike":[102],"insights.":[104]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}