{"id":"https://openalex.org/W4415971662","doi":"https://doi.org/10.18653/v1/2026.findings-acl.2108","title":"From Fragments to Facts: A Curriculum-Driven DPO Approach for Generating Hindi News Veracity Explanations","display_name":"From Fragments to Facts: A Curriculum-Driven DPO Approach for Generating Hindi News Veracity Explanations","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W4415971662","doi":"https://doi.org/10.18653/v1/2026.findings-acl.2108"},"language":"en","primary_location":{"id":"doi:10.18653/v1/2026.findings-acl.2108","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.2108","pdf_url":null,"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":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.18653/v1/2026.findings-acl.2108","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102687232","display_name":"Pulkit Bansal","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pulkit Bansal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046289188","display_name":"Raghvendra Kumar","orcid":"https://orcid.org/0000-0002-9488-3099"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raghvendra Kumar","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020816066","display_name":"Shakti Singh","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shakti Singh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":null,"display_name":"Adam Jatowt","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Adam Jatowt","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":null,"display_name":"Sriparna Saha","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sriparna Saha","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":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.00492975,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"42477","last_page":"42497"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11147","display_name":"Misinformation and Its Impacts","score":0.2953000068664551,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T11147","display_name":"Misinformation and Its Impacts","score":0.2953000068664551,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.27459999918937683,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.17960000038146973,"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/misinformation","display_name":"Misinformation","score":0.7849000096321106},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.5047000050544739},{"id":"https://openalex.org/keywords/hindi","display_name":"Hindi","score":0.5022000074386597},{"id":"https://openalex.org/keywords/preference","display_name":"Preference","score":0.460999995470047},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43050000071525574},{"id":"https://openalex.org/keywords/pretext","display_name":"Pretext","score":0.4025000035762787},{"id":"https://openalex.org/keywords/disinformation","display_name":"Disinformation","score":0.34450000524520874},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.31769999861717224}],"concepts":[{"id":"https://openalex.org/C2776990098","wikidata":"https://www.wikidata.org/wiki/Q13579947","display_name":"Misinformation","level":2,"score":0.7849000096321106},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5697000026702881},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.5047000050544739},{"id":"https://openalex.org/C519982507","wikidata":"https://www.wikidata.org/wiki/Q1568","display_name":"Hindi","level":2,"score":0.5022000074386597},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4796000123023987},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4684999883174896},{"id":"https://openalex.org/C2781249084","wikidata":"https://www.wikidata.org/wiki/Q908656","display_name":"Preference","level":2,"score":0.460999995470047},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.453900009393692},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43050000071525574},{"id":"https://openalex.org/C2779627259","wikidata":"https://www.wikidata.org/wiki/Q779763","display_name":"Pretext","level":3,"score":0.4025000035762787},{"id":"https://openalex.org/C2776552730","wikidata":"https://www.wikidata.org/wiki/Q189656","display_name":"Disinformation","level":3,"score":0.34450000524520874},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.31769999861717224},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.3140000104904175},{"id":"https://openalex.org/C155092808","wikidata":"https://www.wikidata.org/wiki/Q182557","display_name":"Computational linguistics","level":2,"score":0.3111000061035156},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.29660001397132874},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.2930999994277954},{"id":"https://openalex.org/C48798503","wikidata":"https://www.wikidata.org/wiki/Q877546","display_name":"Reputation","level":2,"score":0.2815000116825104},{"id":"https://openalex.org/C2781181686","wikidata":"https://www.wikidata.org/wiki/Q4226068","display_name":"Coherence (philosophical gambling strategy)","level":2,"score":0.2734000086784363},{"id":"https://openalex.org/C168725872","wikidata":"https://www.wikidata.org/wiki/Q991663","display_name":"Sophistication","level":2,"score":0.2605000138282776},{"id":"https://openalex.org/C2778689934","wikidata":"https://www.wikidata.org/wiki/Q1313396","display_name":"Headline","level":2,"score":0.2572000026702881},{"id":"https://openalex.org/C62230096","wikidata":"https://www.wikidata.org/wiki/Q275969","display_name":"Crowdsourcing","level":2,"score":0.25380000472068787}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.18653/v1/2026.findings-acl.2108","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.2108","pdf_url":null,"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"},{"id":"pmh:oai:arXiv.org:2507.05179","is_oa":true,"landing_page_url":"https://arxiv.org/abs/2507.05179","pdf_url":"https://arxiv.org/pdf/2507.05179","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"doi:10.48550/arxiv.2507.05179","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2507.05179","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.findings-acl.2108","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.2108","pdf_url":null,"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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"In":[0],"an":[1],"era":[2],"of":[3],"rampant":[4],"misinformation,":[5],"generating":[6,112],"reliable":[7],"news":[8],"explanations":[9,49,54],"is":[10],"vital,":[11],"especially":[12],"for":[13],"under-represented":[14],"languages":[15],"like":[16],"Hindi.":[17],"Lacking":[18],"robust":[19],"automated":[20,124],"tools,":[21],"Hindi":[22],"faces":[23],"challenges":[24],"in":[25,111],"scaling":[26],"misinformation":[27,121],"detection.":[28],"To":[29,73],"bridge":[30],"this":[31],"gap,":[32],"we":[33,77],"propose":[34],"a":[35],"novel":[36],"framework":[37],"integrating":[38],"Direct":[39],"Preference":[40],"Optimization":[41],"(DPO)":[42],"with":[43,50,98],"curriculum":[44],"learning":[45],"to":[46,127],"align":[47],"machine-generated":[48],"human":[51],"reasoning.":[52],"Fact-checked":[53],"from":[55],"credible":[56],"sources":[57],"serve":[58,69],"as":[59,70],"preferred":[60],"responses,":[61],"while":[62],"LLM":[63],"outputs":[64],"highlight":[65],"system":[66],"limitations":[67],"and":[68,84,95,103,122],"non-preferred":[71],"responses.":[72],"refine":[74],"task-specific":[75],"alignment,":[76],"introduce":[78],"two":[79],"key":[80],"parameters":[81],"--":[82,86],"Actuality":[83],"Finesse":[85],"into":[87],"the":[88,108],"DPO":[89],"loss":[90],"function,":[91],"enhancing":[92],"explanation":[93,125],"quality":[94],"consistency.":[96],"Experiments":[97],"LLMs":[99],"(Mistral,":[100],"Llama,":[101],"Gemma)":[102],"PLMs":[104],"(mBART,":[105],"mT5)":[106],"confirm":[107],"framework's":[109],"effectiveness":[110],"coherent,":[113],"contextually":[114],"relevant":[115],"explanations.":[116],"This":[117],"scalable":[118],"approach":[119],"combats":[120],"extends":[123],"generation":[126],"low-resource":[128],"languages.":[129]},"counts_by_year":[],"updated_date":"2026-08-16T07:02:28.622633","created_date":"2025-10-10T00:00:00"}
