{"id":"https://openalex.org/W7162297791","doi":"https://doi.org/10.48550/arxiv.2605.23897","title":"ETCHR: Editing To Clarify and Harness Reasoning","display_name":"ETCHR: Editing To Clarify and Harness Reasoning","publication_year":2026,"publication_date":"2026-05-22","ids":{"openalex":"https://openalex.org/W7162297791","doi":"https://doi.org/10.48550/arxiv.2605.23897"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.23897","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23897","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2605.23897","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136973497","display_name":"Beichen Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Beichen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136964056","display_name":"Yuhong Liu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yuhong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136952706","display_name":"Jinsong Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Jinsong","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136895918","display_name":"Yuhang Zang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zang, Yuhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136953940","display_name":"Jiaqi Wang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Jiaqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136960698","display_name":"Dahua Lin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Dahua","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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.539900004863739,"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/T11714","display_name":"Multimodal Machine Learning Applications","score":0.539900004863739,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.22120000422000885,"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.01860000006854534,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.7322999835014343},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5551000237464905},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.41769999265670776},{"id":"https://openalex.org/keywords/automated-reasoning","display_name":"Automated reasoning","score":0.41609999537467957},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.41119998693466187},{"id":"https://openalex.org/keywords/jigsaw","display_name":"Jigsaw","score":0.4106999933719635},{"id":"https://openalex.org/keywords/visual-reasoning","display_name":"Visual reasoning","score":0.3815000057220459}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8012999892234802},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.7322999835014343},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5978999733924866},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5551000237464905},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.41769999265670776},{"id":"https://openalex.org/C195344581","wikidata":"https://www.wikidata.org/wiki/Q2555318","display_name":"Automated reasoning","level":2,"score":0.41609999537467957},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.41119998693466187},{"id":"https://openalex.org/C2779405079","wikidata":"https://www.wikidata.org/wiki/Q356040","display_name":"Jigsaw","level":2,"score":0.4106999933719635},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.399399995803833},{"id":"https://openalex.org/C2777508537","wikidata":"https://www.wikidata.org/wiki/Q7936620","display_name":"Visual reasoning","level":2,"score":0.3815000057220459},{"id":"https://openalex.org/C44291984","wikidata":"https://www.wikidata.org/wiki/Q1074173","display_name":"Question answering","level":2,"score":0.3555999994277954},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.31029999256134033},{"id":"https://openalex.org/C2779903281","wikidata":"https://www.wikidata.org/wiki/Q6888026","display_name":"Modalities","level":2,"score":0.3050000071525574},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.2946999967098236},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.27730000019073486},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.26669999957084656},{"id":"https://openalex.org/C126388530","wikidata":"https://www.wikidata.org/wiki/Q1131737","display_name":"Imitation","level":2,"score":0.26109999418258667},{"id":"https://openalex.org/C89288958","wikidata":"https://www.wikidata.org/wiki/Q7301504","display_name":"Reasoning system","level":2,"score":0.25850000977516174},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.25619998574256897}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.23897","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23897","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":"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:10.48550/arxiv.2605.23897","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.23897","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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","score":0.6836561560630798,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"Large":[1],"Language":[2],"Models":[3],"have":[4],"advanced":[5],"visual":[6,101],"reasoning,":[7,198],"yet":[8],"a":[9,16,56,60,84,104,128,142,186],"purely":[10],"textual":[11],"chain":[12],"of":[13],"thought":[14],"remains":[15],"bottleneck":[17],"for":[18,165],"questions":[19],"that":[20],"require":[21],"fine-grained":[22],"focus":[23],"or":[24,45],"view":[25],"transformations.":[26],"The":[27],"''think":[28],"with":[29,68,80,141,162,213,220,228],"images''":[30],"paradigm":[31],"narrows":[32],"this":[33,117],"gap,":[34,86,106],"but":[35],"existing":[36],"approaches":[37],"are":[38],"either":[39],"constrained":[40],"by":[41,116,159],"fixed":[42],"predefined":[43],"toolkits":[44],"produce":[46],"noisy":[47],"intermediate":[48],"images":[49],"from":[50,134,208,215,223],"unified":[51],"multimodal":[52],"methods.":[53],"We":[54],"pursue":[55],"third":[57],"option:":[58],"using":[59],"dedicated":[61],"image":[62,74,131],"editing":[63],"model":[64,138,232],"and":[65,103,125,139,168,182,201,222],"decouple":[66],"it":[67],"an":[69,95,99],"understanding":[70,137],"model.":[71],"However,":[72],"off-the-shelf":[73],"editors":[75,88],"fail":[76],"as":[77,90,111],"reasoning":[78,112,170],"assistants":[79],"two":[81,148],"complementary":[82],"gaps:":[83,149],"language-side":[85],"where":[87,107],"trained":[89,140],"passive":[91],"instruction-followers":[92],"cannot":[93],"map":[94],"abstract":[96],"question":[97],"to":[98,210,217,225],"appropriate":[100],"transformation,":[102],"generation-side":[105],"edit":[108,156,166],"correctness":[109,167],"degrades":[110],"depth":[113],"grows.":[114],"Guided":[115],"analysis,":[118],"we":[119],"introduce":[120],"ETCHR":[121,177,204],"(Editing":[122],"To":[123],"Clarify":[124],"Harness":[126],"Reasoning),":[127],"question-conditioned,":[129],"reasoning-aware":[130],"editor":[132,174],"decoupled":[133],"the":[135,147,173,229],"downstream":[136,169],"two-stage":[143],"recipe":[144],"targeted":[145],"at":[146],"Reasoning":[150,160],"Imitation":[151],"via":[152],"supervised":[153],"fine-tuning":[154],"on":[155],"trajectories,":[157],"followed":[158],"Enhancement":[161],"VLM-derived":[163],"rewards":[164],"accuracy.":[171],"Since":[172],"is":[175],"decoupled,":[176],"plugs":[178],"into":[179],"different":[180],"open-":[181],"closed-source":[183],"MLLMs":[184],"in":[185],"training-free":[187],"manner.":[188],"Across":[189],"five":[190],"task":[191],"families":[192],"(fine-grained":[193],"perception,":[194],"chart":[195],"understanding,":[196],"logic":[197],"jigsaw":[199],"restoration,":[200],"3D":[202],"understanding),":[203],"raises":[205],"average":[206],"Pass@1":[207],"55.95":[209],"60.77":[211],"(+4.82)":[212],"Qwen3-VL-8B,":[214],"65.08":[216],"70.55":[218],"(+5.47)":[219],"Gemini-3.1-Flash-Lite,":[221],"76.55":[224],"81.16":[226],"(+4.61)":[227],"1T-parameter":[230],"MoE":[231],"Kimi":[233],"K2.5.":[234]},"counts_by_year":[],"updated_date":"2026-07-01T06:00:48.157686","created_date":"2026-05-26T00:00:00"}