{"id":"https://openalex.org/W7150848528","doi":"https://doi.org/10.48550/arxiv.2604.03127","title":"Domain-Adapted Retrieval for In-Context Annotation of Pedagogical Dialogue Acts","display_name":"Domain-Adapted Retrieval for In-Context Annotation of Pedagogical Dialogue Acts","publication_year":2026,"publication_date":"2026-04-03","ids":{"openalex":"https://openalex.org/W7150848528","doi":"https://doi.org/10.48550/arxiv.2604.03127"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.03127","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03127","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.2604.03127","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5123499744","display_name":"Jinsook Lee","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lee, Jinsook","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090326226","display_name":"Kirk Vanacore","orcid":"https://orcid.org/0000-0003-0673-5721"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Vanacore, Kirk","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133042828","display_name":"Zhuqian Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Zhuqian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133038574","display_name":"Bakhtawar Ahtisham","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahtisham, Bakhtawar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133063519","display_name":"Rene F. Kizilcec","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kizilcec, Rene F.","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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.4934999942779541,"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/T11902","display_name":"Intelligent Tutoring Systems and Adaptive Learning","score":0.4934999942779541,"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":0.23019999265670776,"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/T12031","display_name":"Speech and dialogue systems","score":0.07829999923706055,"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/annotation","display_name":"Annotation","score":0.7681999802589417},{"id":"https://openalex.org/keywords/utterance","display_name":"Utterance","score":0.5781999826431274},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5372999906539917},{"id":"https://openalex.org/keywords/search-engine-indexing","display_name":"Search engine indexing","score":0.5248000025749207},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.4796999990940094},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.42649999260902405},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.39570000767707825},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.38929998874664307}],"concepts":[{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.7681999802589417},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7659000158309937},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5824999809265137},{"id":"https://openalex.org/C2775852435","wikidata":"https://www.wikidata.org/wiki/Q258403","display_name":"Utterance","level":2,"score":0.5781999826431274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5667999982833862},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5372999906539917},{"id":"https://openalex.org/C75165309","wikidata":"https://www.wikidata.org/wiki/Q2258979","display_name":"Search engine indexing","level":2,"score":0.5248000025749207},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.4796999990940094},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4284000098705292},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.42649999260902405},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.39570000767707825},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.38929998874664307},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.3801000118255615},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.3743000030517578},{"id":"https://openalex.org/C157657479","wikidata":"https://www.wikidata.org/wiki/Q2367247","display_name":"Closed captioning","level":3,"score":0.35179999470710754},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.34929999709129333},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3447999954223633},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3052000105381012},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.29989999532699585},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.27219998836517334},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.2718999981880188}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.03127","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03127","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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.2604.03127","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.03127","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.7414329648017883}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Automated":[0],"annotation":[1,177],"of":[2,82,114],"pedagogical":[3,175],"dialogue":[4,62,176],"is":[5,110,167],"a":[6,19,38,168],"high-stakes":[7],"task":[8],"where":[9],"LLMs":[10],"often":[11],"fail":[12],"without":[13],"sufficient":[14],"domain":[15],"grounding.":[16],"We":[17],"present":[18,144],"domain-adapted":[20,136],"RAG":[21],"pipeline":[22],"for":[23,153],"tutoring":[24,43,61],"move":[25],"annotation.":[26],"Rather":[27],"than":[28,106],"fine-tuning":[29,37],"the":[30,49,111,150,163,180],"generative":[31,181],"model,":[32],"we":[33],"adapt":[34],"retrieval":[35,164],"by":[36],"lightweight":[39],"embedding":[40,107],"model":[41,182],"on":[42,84,88,127,133],"corpora":[44],"and":[45,65,67,86,96,129,148,155,170],"indexing":[46],"dialogues":[47],"at":[48],"utterance":[50],"level":[51],"to":[52,125,131],"retrieve":[53],"labeled":[54],"few-shot":[55],"demonstrations.":[56],"Evaluated":[57],"across":[58],"two":[59],"real":[60],"datasets":[63],"(TalkMoves":[64],"Eedi)":[66],"three":[68],"LLM":[69],"backbones":[70],"(GPT-5.2,":[71],"Claude":[72],"Sonnet":[73],"4.6,":[74],"Qwen3-32b),":[75],"our":[76],"best":[77],"configuration":[78],"achieves":[79],"Cohen's":[80],"$\u03ba$":[81],"0.526-0.580":[83],"TalkMoves":[85,128],"0.659-0.743":[87],"Eedi,":[89],"substantially":[90],"outperforming":[91],"no-retrieval":[92],"baselines":[93],"($\u03ba=":[94],"0.275$-$0.413$":[95],"$0.160$-$0.410$).":[97],"An":[98],"ablation":[99],"study":[100],"reveals":[101],"that":[102,161],"utterance-level":[103],"indexing,":[104],"rather":[105],"quality":[108],"alone,":[109],"primary":[112],"driver":[113],"these":[115],"gains,":[116],"with":[117],"top-1":[118],"label":[119,142],"match":[120],"rates":[121],"improving":[122],"from":[123],"39.7\\%":[124],"62.0\\%":[126],"52.9\\%":[130],"73.1\\%":[132],"Eedi":[134],"under":[135],"retrieval.":[137],"Retrieval":[138],"also":[139],"corrects":[140],"systematic":[141],"biases":[143],"in":[145],"zero-shot":[146],"prompting":[147],"yields":[149],"largest":[151],"improvements":[152],"rare":[154],"context-dependent":[156],"labels.":[157],"These":[158],"findings":[159],"suggest":[160],"adapting":[162],"component":[165],"alone":[166],"practical":[169],"effective":[171],"path":[172],"toward":[173],"expert-level":[174],"while":[178],"keeping":[179],"frozen.":[183]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-04-07T00:00:00"}
