{"id":"https://openalex.org/W7166812813","doi":"https://doi.org/10.18653/v1/2026.findings-acl.1032","title":"Context as a Tool: Context Management for Long-Horizon SWE-Agents","display_name":"Context as a Tool: Context Management for Long-Horizon SWE-Agents","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166812813","doi":"https://doi.org/10.18653/v1/2026.findings-acl.1032"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.findings-acl.1032","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1032","pdf_url":"https://aclanthology.org/2026.findings-acl.1032.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 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.findings-acl.1032.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139812140","display_name":"Shukai Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shukai Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139762849","display_name":"Bo Jiang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bo Jiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139740429","display_name":"Jian Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jian Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5121523112","display_name":"Yizhi Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yizhi LI","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111208990","display_name":"Jinyang Guo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jinyang Guo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139716193","display_name":"Xianglong Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xianglong Liu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5121577008","display_name":"Bryan Dai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bryan Dai","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":0.8605049,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"20604","last_page":"20617"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.19130000472068787,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10444","display_name":"Context-Aware Activity Recognition Systems","score":0.19130000472068787,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10906","display_name":"AI-based Problem Solving and Planning","score":0.09399999678134918,"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/T12203","display_name":"Mobile Agent-Based Network Management","score":0.07989999651908875,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/context","display_name":"Context (archaeology)","score":0.5695000290870667},{"id":"https://openalex.org/keywords/context-management","display_name":"Context management","score":0.2777999937534332},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.24979999661445618}],"concepts":[{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5695000290870667},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.4562999904155731},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.388700008392334},{"id":"https://openalex.org/C195094911","wikidata":"https://www.wikidata.org/wiki/Q14167904","display_name":"Process management","level":1,"score":0.34380000829696655},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.3357999920845032},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.3357999920845032},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.30070000886917114},{"id":"https://openalex.org/C2776285913","wikidata":"https://www.wikidata.org/wiki/Q5165183","display_name":"Context management","level":3,"score":0.2777999937534332},{"id":"https://openalex.org/C39549134","wikidata":"https://www.wikidata.org/wiki/Q133080","display_name":"Public relations","level":1,"score":0.2685000002384186},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.24979999661445618}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.findings-acl.1032","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1032","pdf_url":"https://aclanthology.org/2026.findings-acl.1032.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 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.findings-acl.1032","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1032","pdf_url":"https://aclanthology.org/2026.findings-acl.1032.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 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166812813.pdf","grobid_xml":"https://content.openalex.org/works/W7166812813.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Agents":[0],"based":[1,116],"on":[2,11,28,117,139],"large":[3],"language":[4],"models":[5],"have":[6],"recently":[7],"shown":[8],"strong":[9],"potential":[10],"real-world":[12],"software":[13],"engineering":[14],"(SWE)":[15],"tasks":[16],"that":[17,58,123,142],"require":[18],"long-horizon":[19,163],"interaction":[20,129],"with":[21],"repository-scale":[22],"codebases.However,":[23],"most":[24],"existing":[25],"agents":[26,92,153],"rely":[27],"append-only":[29],"context":[30,41,55,60,76,105,168],"maintenance":[31,61],"or":[32],"passively":[33],"triggered":[34],"compression":[35,156],"heuristics,":[36],"which":[37],"often":[38],"lead":[39],"to":[40,62,93],"explosion,":[42],"semantic":[43],"drift,":[44],"and":[45,86,90,149,154,161],"degraded":[46],"reasoning":[47,164],"in":[48],"long-running":[49],"interactions.We":[50],"propose":[51,110],"CAT,":[52],"a":[53,63,74,111,135,145,166],"new":[54],"management":[56,106],"paradigm":[57],"elevates":[59],"callable":[64],"tool":[65],"integrated":[66],"into":[67,98,127],"the":[68],"decision-making":[69],"process":[70],"of":[71,79],"agents.CAT":[72],"formalizes":[73],"structured":[75],"workspace":[77],"consisting":[78],"stable":[80,160],"task":[81],"semantics,":[82],"condensed":[83],"long-term":[84],"memory,":[85],"high-fidelity":[87],"shortterm":[88],"interactions,":[89],"enables":[91],"proactively":[94],"compress":[95],"historical":[96],"trajectories":[97],"actionable":[99],"summaries":[100],"at":[101],"appropriate":[102],"milestones.To":[103],"support":[104],"for":[107],"SWEagents,":[108],"we":[109,133],"trajectory-level":[112],"supervision":[113],"framework,":[114,132],"CAT-GENERATOR,":[115],"an":[118],"offline":[119],"data":[120],"construction":[121],"pipeline":[122],"injects":[124],"context-management":[125],"actions":[126],"complete":[128],"trajectories.Using":[130],"this":[131],"train":[134],"context-aware":[136],"model,":[137],"SWE-Compressor.Experiments":[138],"SWE-Bench-Verified":[140],"demonstrate":[141],"SWE-Compressor":[143],"reaches":[144],"57.6%":[146],"solved":[147],"rate":[148],"significantly":[150],"outperforms":[151],"ReAct-based":[152],"static":[155],"baselines,":[157],"while":[158],"maintaining":[159],"scalable":[162],"under":[165],"bounded":[167],"budget.":[169]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}