{"id":"https://openalex.org/W7166872500","doi":"https://doi.org/10.18653/v1/2026.findings-acl.1930","title":"Thinking Traps in Long Chain-of-Thought: A Measurable Study and Trap-Aware Adaptive Restart","display_name":"Thinking Traps in Long Chain-of-Thought: A Measurable Study and Trap-Aware Adaptive Restart","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166872500","doi":"https://doi.org/10.18653/v1/2026.findings-acl.1930"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.findings-acl.1930","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1930","pdf_url":"https://aclanthology.org/2026.findings-acl.1930.pdf","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":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.findings-acl.1930.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139843568","display_name":"Chenkang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chenkang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139763378","display_name":"Fan Yu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan Yu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139819127","display_name":"Junjie Nian","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Junjie Nian","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139805026","display_name":"Sihan Zhao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sihan Zhao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5122962071","display_name":"Zhuoka Feng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhuoka Feng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124858237","display_name":"Zijun Yao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zijun Yao","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139764929","display_name":"Wang Heng","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang Heng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139776014","display_name":"Yu Minshen","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yu Minshen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5139848609","display_name":"Yixin Cao","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yixin Cao","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":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.86912752,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"38746","last_page":"38760"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.23409999907016754,"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"}},"topics":[{"id":"https://openalex.org/T11883","display_name":"Embodied and Extended Cognition","score":0.23409999907016754,"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"}},{"id":"https://openalex.org/T13219","display_name":"Mind wandering and attention","score":0.04780000075697899,"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"}},{"id":"https://openalex.org/T12448","display_name":"Paranormal Experiences and Beliefs","score":0.025599999353289604,"subfield":{"id":"https://openalex.org/subfields/3207","display_name":"Social Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.25699999928474426},{"id":"https://openalex.org/keywords/work","display_name":"Work (physics)","score":0.25040000677108765},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.24070000648498535},{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.23819999396800995},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.2329999953508377}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.46869999170303345},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.296999990940094},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C18762648","wikidata":"https://www.wikidata.org/wiki/Q42213","display_name":"Work (physics)","level":2,"score":0.25040000677108765},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.24070000648498535},{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.23819999396800995},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2329999953508377},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.23100000619888306},{"id":"https://openalex.org/C2775936607","wikidata":"https://www.wikidata.org/wiki/Q466845","display_name":"Tracking (education)","level":2,"score":0.22599999606609344},{"id":"https://openalex.org/C2778348673","wikidata":"https://www.wikidata.org/wiki/Q739302","display_name":"Production (economics)","level":2,"score":0.21969999372959137}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.findings-acl.1930","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1930","pdf_url":"https://aclanthology.org/2026.findings-acl.1930.pdf","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"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.findings-acl.1930","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.findings-acl.1930","pdf_url":"https://aclanthology.org/2026.findings-acl.1930.pdf","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":[{"id":"https://openalex.org/F4320329860","display_name":"National Science and Technology Major Project","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166872500.pdf","grobid_xml":"https://content.openalex.org/works/W7166872500.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Scaling":[0],"test-time":[1,75],"compute":[2],"via":[3],"Long":[4],"Chain-of-Thought":[5],"(Long-CoT)":[6],"significantly":[7],"enhances":[8],"reasoning":[9,145,156],"capabilities,":[10],"yet":[11],"extended":[12],"generation":[13],"does":[14],"not":[15],"guarantee":[16],"correctness:":[17],"after":[18],"an":[19,98,135],"early":[20],"wrong":[21],"commitment,":[22],"models":[23],"may":[24],"keep":[25],"elaborating":[26],"a":[27,54,74,80,90],"self-consistent":[28],"but":[29],"incorrect":[30],"prefix.Through":[31],"fine-grained":[32],"trajectory":[33,113],"analysis,":[34],"we":[35,68],"identify":[36],"Thinking":[37],"Traps,":[38],"prefix-dominant":[39],"deadlocks":[40],"where":[41,94],"later":[42],"reflection,":[43],"alternative":[44],"attempts,":[45],"or":[46],"verification":[47],"fails":[48],"to":[49,83,95,106],"revise":[50],"the":[51,112,115],"root":[52],"error.On":[53],"curated":[55],"subset":[56],"of":[57,60],"DAPO-MATH,":[58],"89%":[59],"failures":[61],"exhibit":[62],"such":[63],"traps.To":[64],"solve":[65],"this":[66],"problem,":[67],"introduce":[69],"TAAR":[70,110,154],"(Trap-Aware":[71],"Adaptive":[72],"Restart),":[73],"control":[76],"framework":[77],"that":[78,153],"trains":[79],"diagnostic":[81],"policy":[82],"predict":[84],"two":[85],"signals":[86],"from":[87],"partial":[88],"trajectories:":[89],"trap":[91,117],"index":[92],"for":[93,101,123],"truncate":[96],"and":[97,103,119,134,143],"escape":[99],"probability":[100],"whether":[102],"how":[104],"strongly":[105],"intervene.At":[107],"inference":[108],"time,":[109],"truncates":[111],"before":[114],"predicted":[116],"segment":[118],"adaptively":[120],"restarts":[121],"decoding;":[122],"severely":[124],"trapped":[125],"cases,":[126],"it":[127],"applies":[128],"stronger":[129],"perturbations,":[130],"including":[131],"higher-temperature":[132],"resampling":[133],"optional":[136],"structured":[137],"reboot":[138],"suffix.Experiments":[139],"on":[140],"challenging":[141],"mathematical":[142],"scientific":[144],"benchmarks":[146],"(AIME24,":[147],"AIME25,":[148],"GPQA-Diamond,":[149],"HMMT25,":[150],"BRUMO25)":[151],"show":[152],"improves":[155],"performance":[157],"without":[158],"fine-tuning":[159],"base":[160],"model":[161],"parameters.":[162]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}
