{"id":"https://openalex.org/W7118846554","doi":"https://doi.org/10.48550/arxiv.2601.02911","title":"Image, Word and Thought: A More Challenging Language Task for the Iterated Learning Model","display_name":"Image, Word and Thought: A More Challenging Language Task for the Iterated Learning Model","publication_year":2026,"publication_date":"2026-01-06","ids":{"openalex":"https://openalex.org/W7118846554","doi":"https://doi.org/10.48550/arxiv.2601.02911"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2601.02911","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.02911","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2601.02911","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5122142524","display_name":"Hyoyeon Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Hyoyeon","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052396839","display_name":"Seth Bullock","orcid":"https://orcid.org/0000-0003-4371-5965"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bullock, Seth","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5002438004","display_name":"Conor Houghton","orcid":"https://orcid.org/0000-0001-5017-9473"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Houghton, Conor","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":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.8840000033378601,"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"}},"topics":[{"id":"https://openalex.org/T12090","display_name":"Language and cultural evolution","score":0.8840000033378601,"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/T11665","display_name":"Animal Vocal Communication and Behavior","score":0.014299999922513962,"subfield":{"id":"https://openalex.org/subfields/1309","display_name":"Developmental Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.010200000368058681,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5709999799728394},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4625000059604645},{"id":"https://openalex.org/keywords/cache-language-model","display_name":"Cache language model","score":0.461899995803833},{"id":"https://openalex.org/keywords/language-identification","display_name":"Language identification","score":0.44429999589920044},{"id":"https://openalex.org/keywords/language-acquisition","display_name":"Language acquisition","score":0.4392000138759613},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.43549999594688416},{"id":"https://openalex.org/keywords/constructed-language","display_name":"Constructed language","score":0.40939998626708984},{"id":"https://openalex.org/keywords/meaning","display_name":"Meaning (existential)","score":0.39629998803138733},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.39169999957084656},{"id":"https://openalex.org/keywords/autoencoder","display_name":"Autoencoder","score":0.38089999556541443}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7644000053405762},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6358000040054321},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6151999831199646},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5709999799728394},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4625000059604645},{"id":"https://openalex.org/C39608478","wikidata":"https://www.wikidata.org/wiki/Q5015979","display_name":"Cache language model","level":5,"score":0.461899995803833},{"id":"https://openalex.org/C129792486","wikidata":"https://www.wikidata.org/wiki/Q1050419","display_name":"Language identification","level":3,"score":0.44429999589920044},{"id":"https://openalex.org/C74672266","wikidata":"https://www.wikidata.org/wiki/Q815859","display_name":"Language acquisition","level":2,"score":0.4392000138759613},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.43549999594688416},{"id":"https://openalex.org/C94922259","wikidata":"https://www.wikidata.org/wiki/Q33215","display_name":"Constructed language","level":2,"score":0.40939998626708984},{"id":"https://openalex.org/C2780876879","wikidata":"https://www.wikidata.org/wiki/Q3054749","display_name":"Meaning (existential)","level":2,"score":0.39629998803138733},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.39169999957084656},{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.38089999556541443},{"id":"https://openalex.org/C83479923","wikidata":"https://www.wikidata.org/wiki/Q2063748","display_name":"Universal Networking Language","level":4,"score":0.3776000142097473},{"id":"https://openalex.org/C70777604","wikidata":"https://www.wikidata.org/wiki/Q257885","display_name":"Word order","level":2,"score":0.33880001306533813},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.33070001006126404},{"id":"https://openalex.org/C20724563","wikidata":"https://www.wikidata.org/wiki/Q3075258","display_name":"Language primitive","level":4,"score":0.3158999979496002},{"id":"https://openalex.org/C136389625","wikidata":"https://www.wikidata.org/wiki/Q334384","display_name":"Supervised learning","level":3,"score":0.3093999922275543},{"id":"https://openalex.org/C185954173","wikidata":"https://www.wikidata.org/wiki/Q4347052","display_name":"Object language","level":3,"score":0.30799999833106995},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.30300000309944153},{"id":"https://openalex.org/C32254414","wikidata":"https://www.wikidata.org/wiki/Q4724364","display_name":"Algorithmic learning theory","level":3,"score":0.29679998755455017},{"id":"https://openalex.org/C129353971","wikidata":"https://www.wikidata.org/wiki/Q5156949","display_name":"Comprehension approach","level":3,"score":0.2842999994754791},{"id":"https://openalex.org/C2779439875","wikidata":"https://www.wikidata.org/wiki/Q1078276","display_name":"Natural language understanding","level":3,"score":0.28380000591278076},{"id":"https://openalex.org/C140479938","wikidata":"https://www.wikidata.org/wiki/Q5254619","display_name":"Iterated function","level":2,"score":0.2806999981403351},{"id":"https://openalex.org/C761482","wikidata":"https://www.wikidata.org/wiki/Q118093","display_name":"Transmission (telecommunications)","level":2,"score":0.28060001134872437},{"id":"https://openalex.org/C121375916","wikidata":"https://www.wikidata.org/wiki/Q936559","display_name":"Principle of compositionality","level":2,"score":0.27950000762939453},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.274399995803833},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.2651999890804291},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.26420000195503235},{"id":"https://openalex.org/C24138899","wikidata":"https://www.wikidata.org/wiki/Q17141258","display_name":"Instance-based learning","level":3,"score":0.25839999318122864},{"id":"https://openalex.org/C207609745","wikidata":"https://www.wikidata.org/wiki/Q4944086","display_name":"Bootstrapping (finance)","level":2,"score":0.2547000050544739},{"id":"https://openalex.org/C171041071","wikidata":"https://www.wikidata.org/wiki/Q36870","display_name":"First language","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2601.02911","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.02911","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2601.02911","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2601.02911","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.8464410305023193}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"The":[0,86],"iterated":[1,99],"learning":[2,100,106,137],"model":[3,129,153],"simulates":[4],"the":[5,18,25,40,46,52,59,125,128,140,183],"transmission":[6,23,116],"of":[7,27,42,48,61,89,114,142],"language":[8,22,28,33,62,115,136,161,184],"from":[9,36,188],"generation":[10,12,189],"to":[11,15,50,58,134,156,178,190],"in":[13,151],"order":[14],"explore":[16],"how":[17],"constraints":[19],"imposed":[20],"by":[21,68],"facilitate":[24],"emergence":[26,60],"structure.":[29],"Despite":[30],"each":[31],"modelled":[32],"learner":[34,53],"starting":[35],"a":[37,43,90,135,160],"blank":[38],"slate,":[39],"presence":[41],"bottleneck":[44],"limiting":[45],"number":[47],"utterances":[49],"which":[51],"is":[54,66,72,81,163],"exposed":[55],"can":[56],"lead":[57],"that":[63,77,80,162],"lacks":[64],"ambiguity,":[65],"governed":[67],"grammatical":[69],"rules,":[70],"and":[71,84,94,104,158,181],"consistent":[73],"over":[74],"successive":[75],"generations,":[76],"is,":[78],"one":[79],"expressive,":[82],"compositional":[83],"stable.":[85],"recent":[87],"introduction":[88],"more":[91,144],"computationally":[92],"tractable":[93],"ecologically":[95],"valid":[96],"semi":[97],"supervised":[98,103],"model,":[101],"combining":[102],"unsupervised":[105],"within":[107],"an":[108],"autoencoder":[109],"architecture,":[110],"has":[111,130],"enabled":[112],"exploration":[113],"dynamics":[117],"for":[118,124,169],"much":[119,143],"larger":[120],"meaning-signal":[121],"spaces.":[122],"Here,":[123],"first":[126],"time,":[127],"been":[131],"successfully":[132],"applied":[133],"task":[138],"involving":[139],"communication":[141],"complex":[145],"meanings:":[146],"seven-segment":[147],"display":[148],"images.":[149],"Agents":[150],"this":[152],"are":[154,167],"able":[155],"learn":[157],"transmit":[159],"expressive:":[164],"distinct":[165],"codes":[166],"employed":[168],"all":[170],"128":[171],"glyphs;":[172],"compositional:":[173],"signal":[174],"components":[175],"consistently":[176],"map":[177],"meaning":[179],"components,":[180],"stable:":[182],"does":[185],"not":[186],"change":[187],"generation.":[191]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-01-08T00:00:00"}
