{"id":"https://openalex.org/W7166877845","doi":"https://doi.org/10.18653/v1/2026.findings-acl.447","title":"Self-Sum: Teaching an Agent to Decide Itself When and What to Summarize","display_name":"Self-Sum: Teaching an Agent to Decide Itself When and What to Summarize","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166877845","doi":"https://doi.org/10.18653/v1/2026.findings-acl.447"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.findings-acl.447","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.447","pdf_url":"https://aclanthology.org/2026.findings-acl.447.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.447.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139849234","display_name":"Hongru Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongru Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139771966","display_name":"Rui Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rui Wang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069358542","display_name":"Jushi Kai","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jushi Kai","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058226799","display_name":"Boyang Xue","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Boyang Xue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139716602","display_name":"Yongqi Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yongqi Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067715252","display_name":"Shijue Huang","orcid":"https://orcid.org/0000-0001-9443-7948"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shijue Huang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139715992","display_name":"Xiaoteng Ma","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xiaoteng Ma","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139849912","display_name":"Jeff Z. Pan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jeff Z. Pan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136871004","display_name":"Amos Storkey","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Amos Storkey","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":0.8716443,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"9178","last_page":"9192"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.07639999687671661,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.07639999687671661,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.05139999836683273,"subfield":{"id":"https://openalex.org/subfields/3316","display_name":"Cultural Studies"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10456","display_name":"Multi-Agent Systems and Negotiation","score":0.03849999979138374,"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/action","display_name":"Action (physics)","score":0.2897000014781952},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.26260000467300415},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.23800000548362732},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.23680000007152557}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4765999913215637},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.29030001163482666},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.2897000014781952},{"id":"https://openalex.org/C56739046","wikidata":"https://www.wikidata.org/wiki/Q192060","display_name":"Knowledge management","level":1,"score":0.28029999136924744},{"id":"https://openalex.org/C55587333","wikidata":"https://www.wikidata.org/wiki/Q1133029","display_name":"Engineering ethics","level":1,"score":0.2639999985694885},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C539667460","wikidata":"https://www.wikidata.org/wiki/Q2414942","display_name":"Management science","level":1,"score":0.24969999492168427},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.24770000576972961},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.23800000548362732},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.23680000007152557}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.findings-acl.447","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.447","pdf_url":"https://aclanthology.org/2026.findings-acl.447.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.447","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.447","pdf_url":"https://aclanthology.org/2026.findings-acl.447.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/W7166877845.pdf","grobid_xml":"https://content.openalex.org/works/W7166877845.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Long-horizon":[0],"agents":[1,54],"operate":[2],"over":[3],"extended":[4],"sequences":[5],"of":[6,89,155],"reasoning":[7],"and":[8,21,42,59,100,112,128,148,159],"actions,":[9],"but":[10],"this":[11],"inevitably":[12],"accumulates":[13],"context":[14],"noise,":[15],"resulting":[16],"in":[17,135],"excessive":[18],"computational":[19],"cost":[20],"information":[22,46],"overload.Existing":[23],"approaches":[24],"commonly":[25],"rely":[26],"on":[27,118],"fixed,":[28],"rule-based":[29],"summarization":[30,65,98,110],"strategies":[31],"(e.g.,":[32],"summarizing":[33],"every":[34],"few":[35],"steps),":[36],"which":[37],"are":[38],"inflexible,":[39],"lack":[40],"generalization,":[41],"often":[43],"introduce":[44,83],"irreversible":[45],"loss.We":[47],"propose":[48],"Self-Sum,":[49],"a":[50,67,78,84,91,102],"framework":[51],"that":[52,96,108,123,139],"empowers":[53],"to":[55,61,142,161],"autonomously":[56],"decide":[57],"when":[58,158],"what":[60,160],"summarize":[62,143,162],"by":[63],"modeling":[64],"as":[66],"first-class":[68],"internal":[69],"cognitive":[70],"action,":[71],"unified":[72],"with":[73,131],"external":[74],"environmental":[75],"actions":[76],"within":[77],"multi-turn":[79],"decision-making":[80],"process.Specifically,":[81],"we":[82],"two-stage":[85],"training":[86],"recipe":[87],"consisting":[88],"(i)":[90],"cold-start":[92],"supervised":[93],"fine-tuning":[94],"stage":[95,107],"bootstraps":[97],"behavior,":[99],"(ii)":[101],"lightweight,":[103],"summarization-aware":[104],"reinforcement":[105],"learning":[106,157],"refines":[109],"timing":[111],"content":[113],"while":[114],"discouraging":[115],"unnecessary":[116],"summaries.Experiments":[117],"multiple":[119],"longhorizon":[120],"benchmarks":[121],"show":[122],"Self-Sum":[124,140],"consistently":[125],"outperforms":[126],"no-summarization":[127],"rulebased":[129],"baselines,":[130],"particularly":[132],"strong":[133],"gains":[134],"generalization.Analysis":[136],"further":[137],"reveals":[138],"learns":[141],"sparsely":[144],"at":[145],"meaningful":[146],"moments":[147],"preserves":[149],"task-relevant":[150],"information,":[151],"highlighting":[152],"the":[153],"importance":[154],"jointly":[156],"for":[163],"robust":[164],"long-horizon":[165],"agent":[166],"behavior":[167],"1":[168],".":[169]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}
