{"id":"https://openalex.org/W4416034074","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1070","title":"Weak2Wise: An Automated, Lightweight Framework for Weak-LLM-Friendly Reasoning Synthesis","display_name":"Weak2Wise: An Automated, Lightweight Framework for Weak-LLM-Friendly Reasoning Synthesis","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416034074","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.1070"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.1070","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1070","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1070.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: EMNLP 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-emnlp.1070.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Jianing Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jianing Lin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053841201","display_name":"Guo Yu","orcid":"https://orcid.org/0000-0003-2427-8202"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuanfang Guo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062176437","display_name":"S.-S. Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shunning Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103008895","display_name":"Zeming Liu","orcid":"https://orcid.org/0000-0002-3691-8097"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zeming Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5100398953","display_name":"Yunhong Wang","orcid":"https://orcid.org/0000-0001-8001-2703"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yunhong Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"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":0.29722961,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"19639","last_page":"19657"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10181","display_name":"Natural Language Processing Techniques","score":0.11010000109672546,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10181","display_name":"Natural Language Processing Techniques","score":0.11010000109672546,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T11010","display_name":"Logic, Reasoning, and Knowledge","score":0.10869999974966049,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10028","display_name":"Topic Modeling","score":0.10610000044107437,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/process","display_name":"Process (computing)","score":0.31610000133514404},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.26669999957084656},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.26330000162124634},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2619999945163727},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.2402999997138977}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6055999994277954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35420000553131104},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.31610000133514404},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.26330000162124634},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2619999945163727},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.2402999997138977},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.23729999363422394},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.2354000061750412},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.23360000550746918}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-emnlp.1070","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1070","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1070.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: EMNLP 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.1070","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.1070","pdf_url":"https://aclanthology.org/2025.findings-emnlp.1070.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: EMNLP 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G5196642116","display_name":null,"funder_award_id":"62272020","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416034074.pdf","grobid_xml":"https://content.openalex.org/works/W4416034074.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Recent":[0],"advances":[1],"in":[2,112],"large":[3],"language":[4],"model":[5],"(LLM)":[6],"fine-tuning":[7,138],"have":[8],"shown":[9],"that":[10,71],"training":[11],"data":[12],"augmented":[13],"with":[14],"high-quality":[15],"reasoning":[16,60,84,102,116,131,145],"traces":[17,85,103,132,146],"can":[18,72],"remarkably":[19],"improve":[20],"downstream":[21],"performance.However,":[22],"existing":[23],"approaches":[24],"usually":[25],"rely":[26],"on":[27,143,170,179],"expensive":[28],"manual":[29],"annotations":[30],"or":[31],"auxiliary":[32],"models,":[33],"and":[34,90,96,137,159,167,182],"fail":[35],"to":[36,94,127,147,153,172,190],"address":[37],"the":[38,69,78,98,113,129,139],"unique":[39],"constraints":[40],"of":[41],"smaller":[42],"\"weak\"":[43,125],"LLMs.To":[44],"bridge":[45],"these":[46,144],"gaps,":[47],"we":[48],"introduce":[49],"Weak2Wise,":[50],"a":[51,63,124,156],"fully":[52],"automated,":[53],"lightweight":[54],"framework":[55],"for":[56,107,164],"synthesizing":[57],"high-quality,":[58],"weak-LLM-friendly":[59],"traces.Starting":[61],"from":[62,86],"QA":[64],"dataset,":[65],"Weak2Wise":[66,119,152],"filters":[67],"out":[68],"samples":[70],"already":[73],"be":[74],"correctly":[75],"answered":[76],"by":[77,134],"weak":[79,114,141,165],"LLM,":[80],"gathers":[81],"diverse":[82],"candidate":[83],"multiple":[87],"strong":[88],"LLMs,":[89,136,166],"leverages":[91],"ourStep-Mask":[92],"scoring":[93],"rank":[95],"truncate":[97],"most":[99],"guidance-effective":[100],"traces.These":[101],"are":[104,187],"then":[105],"used":[106],"fine-tuning,":[108],"yielding":[109],"substantial":[110],"improvements":[111],"LLM's":[115],"abilities.The":[117],"name":[118],"has":[120],"two":[121],"meanings:":[122],"using":[123],"LLM":[126,142],"select":[128],"\"wisest\"":[130],"generated":[133],"stronger":[135],"same":[140],"become":[148],"\"wiser\".We":[149],"further":[150,192],"use":[151],"build":[154],"GR-1K,":[155],"1,000-sample":[157],"math":[158],"science":[160],"QA-reasoning":[161],"dataset":[162],"optimized":[163],"fine-tune":[168],"Qwen2.5-7B":[169],"it":[171],"create":[173],"GR-7B,":[174],"which":[175],"achieves":[176],"superior":[177],"performance":[178],"AIME2024,":[180],"MATH-500,":[181],"GPQA":[183],"Diamond":[184],"benchmarks.Our":[185],"codes":[186],"publicly":[188],"released":[189],"facilitate":[191],"research":[193],"1":[194],".":[195]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-08T00:00:00"}