{"id":"https://openalex.org/W7164053715","doi":"https://doi.org/10.48550/arxiv.2606.08408","title":"TimpaTeks: Automatic In-place Text Sequence Modification via Diffusion Language Model Steering","display_name":"TimpaTeks: Automatic In-place Text Sequence Modification via Diffusion Language Model Steering","publication_year":2026,"publication_date":"2026-06-07","ids":{"openalex":"https://openalex.org/W7164053715","doi":"https://doi.org/10.48550/arxiv.2606.08408"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2606.08408","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.08408","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.2606.08408","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5032083902","display_name":"Ryandito Diandaru","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Diandaru, Ryandito","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138268005","display_name":"Ikhlasul Akmal Hanif","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hanif, Ikhlasul Akmal","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5093775215","display_name":"Fadli Aulawi Al Ghiffari","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ghiffari, Fadli Aulawi Al","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5138230818","display_name":"Ahmed Elshabrawy","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Elshabrawy, Ahmed","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5138248001","display_name":"Alham Fikri Aji","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aji, Alham Fikri","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/T10028","display_name":"Topic Modeling","score":0.6060000061988831,"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/T10028","display_name":"Topic Modeling","score":0.6060000061988831,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.06849999725818634,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.04560000076889992,"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/perplexity","display_name":"Perplexity","score":0.8561000227928162},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.7008000016212463},{"id":"https://openalex.org/keywords/sentence","display_name":"Sentence","score":0.6455000042915344},{"id":"https://openalex.org/keywords/sequence","display_name":"Sequence (biology)","score":0.6291000247001648},{"id":"https://openalex.org/keywords/mechanism","display_name":"Mechanism (biology)","score":0.582099974155426},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.5005999803543091},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.3720000088214874}],"concepts":[{"id":"https://openalex.org/C100279451","wikidata":"https://www.wikidata.org/wiki/Q372193","display_name":"Perplexity","level":3,"score":0.8561000227928162},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7680000066757202},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.7008000016212463},{"id":"https://openalex.org/C2777530160","wikidata":"https://www.wikidata.org/wiki/Q41796","display_name":"Sentence","level":2,"score":0.6455000042915344},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.6291000247001648},{"id":"https://openalex.org/C89611455","wikidata":"https://www.wikidata.org/wiki/Q6804646","display_name":"Mechanism (biology)","level":2,"score":0.582099974155426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5595999956130981},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5005999803543091},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.42160001397132874},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.3720000088214874},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.36579999327659607},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.3434999883174896},{"id":"https://openalex.org/C69357855","wikidata":"https://www.wikidata.org/wiki/Q163214","display_name":"Diffusion","level":2,"score":0.3352999985218048},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.31459999084472656},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.30140000581741333},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.2924000024795532},{"id":"https://openalex.org/C35639132","wikidata":"https://www.wikidata.org/wiki/Q7452468","display_name":"Sequence labeling","level":3,"score":0.2833999991416931},{"id":"https://openalex.org/C48677424","wikidata":"https://www.wikidata.org/wiki/Q6888088","display_name":"Mode (computer interface)","level":2,"score":0.25839999318122864}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2606.08408","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.08408","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.2606.08408","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2606.08408","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":0.6154274940490723}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"We":[0,32],"extend":[1],"activation":[2],"steering":[3],"to":[4,17,27,69],"diffusion":[5,71],"language":[6,72],"models":[7],"(DLMs)":[8],"and":[9,49,53,85],"study":[10],"a":[11,24,29,50,65],"novel":[12,67],"problem":[13],"that":[14,62],"arose":[15],"due":[16],"the":[18,87,92],"inference":[19],"mechanism":[20,40,68],"of":[21,94],"DLMs:":[22],"Modifying":[23],"text":[25,38],"in-place":[26,37,78,111],"manifest":[28],"different":[30],"concept.":[31],"propose":[33],"TimpaTeks,":[34],"an":[35,115],"automatic":[36],"modification":[39,79],"using":[41],"DLMs.":[42],"Experiments":[43],"on":[44],"IMDB":[45],"movie":[46],"reviews":[47],"(sentiment)":[48],"synthetic":[51],"Cats":[52],"Dogs":[54],"Dataset":[55],"(arbitrary,":[56],"more":[57],"unconventional":[58],"concept":[59],"steering)":[60],"show":[61],"TimpaTeks":[63,76,98],"provides":[64],"feasible":[66],"steer":[70],"model":[73],"outputs":[74],"in-place.":[75],"enables":[77],"while":[80],"simultaneously":[81],"lowers":[82],"sentence":[83,89],"perplexity":[84],"retaining":[86],"original":[88],"structre":[90],"without":[91],"need":[93],"instruction":[95],"tuned":[96],"models.":[97],"is":[99],"also":[100],"computationally":[101],"cheaper":[102],"than":[103,113],"prompt-based":[104],"DLM":[105],"steering,":[106],"as":[107],"it":[108],"performs":[109],"denoising":[110],"rather":[112],"constructing":[114],"additional":[116],"prompt-conditioned":[117],"output":[118],"sequence.":[119]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-06-10T00:00:00"}
