{"id":"https://openalex.org/W4400525461","doi":"https://doi.org/10.1145/3626772.3657788","title":"TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision","display_name":"TRAD: Enhancing LLM Agents with Step-Wise Thought Retrieval and Aligned Decision","publication_year":2024,"publication_date":"2024-07-10","ids":{"openalex":"https://openalex.org/W4400525461","doi":"https://doi.org/10.1145/3626772.3657788"},"language":"en","primary_location":{"id":"doi:10.1145/3626772.3657788","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626772.3657788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5002113455","display_name":"Ruiwen Zhou","orcid":"https://orcid.org/0009-0005-9881-3249"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Ruiwen Zhou","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087524444","display_name":"Yingxuan Yang","orcid":"https://orcid.org/0000-0002-0494-7440"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yingxuan Yang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049802452","display_name":"Muning Wen","orcid":"https://orcid.org/0009-0000-7868-1262"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Muning Wen","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104546839","display_name":"Ying Wen","orcid":"https://orcid.org/0000-0003-1247-2382"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying Wen","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103325669","display_name":"Wenhao Wang","orcid":"https://orcid.org/0000-0002-3199-2618"},"institutions":[{"id":"https://openalex.org/I4210128979","display_name":"Pacific Medical (China)","ror":"https://ror.org/02ey7f844","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhao Wang","raw_affiliation_strings":["China Pacific Insurance, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"China Pacific Insurance, Shanghai, China","institution_ids":["https://openalex.org/I4210128979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101316450","display_name":"Chunling Xi","orcid":"https://orcid.org/0009-0005-9776-5513"},"institutions":[{"id":"https://openalex.org/I4210128979","display_name":"Pacific Medical (China)","ror":"https://ror.org/02ey7f844","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chunling Xi","raw_affiliation_strings":["China Pacific Insurance, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"China Pacific Insurance, Shanghai, China","institution_ids":["https://openalex.org/I4210128979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101313502","display_name":"Guoqiang Xu","orcid":"https://orcid.org/0009-0005-7711-8247"},"institutions":[{"id":"https://openalex.org/I4210128979","display_name":"Pacific Medical (China)","ror":"https://ror.org/02ey7f844","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210128979"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Xu","raw_affiliation_strings":["China Pacific Insurance, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"China Pacific Insurance, Shanghai, China","institution_ids":["https://openalex.org/I4210128979"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001571390","display_name":"Yong Yu","orcid":"https://orcid.org/0000-0003-0281-8271"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Yu","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090720315","display_name":"Weinan Zhang","orcid":"https://orcid.org/0000-0002-0127-2425"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weinan Zhang","raw_affiliation_strings":["Shanghai Jiao Tong University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5002113455"],"corresponding_institution_ids":["https://openalex.org/I183067930"],"apc_list":null,"apc_paid":null,"fwci":1.366,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.83672041,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"3","last_page":"13"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9977999925613403,"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":0.9977999925613403,"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/T12761","display_name":"Data Stream Mining Techniques","score":0.9908000230789185,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9896000027656555,"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/computer-science","display_name":"Computer science","score":0.638152003288269},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4563681483268738}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.638152003288269},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4563681483268738}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3626772.3657788","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3626772.3657788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1331736479","display_name":null,"funder_award_id":"62322603, 62076161","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2560674852","https://openalex.org/W2970641574","https://openalex.org/W3034758614","https://openalex.org/W3099700870","https://openalex.org/W4287891464","https://openalex.org/W4383097638","https://openalex.org/W4385571076","https://openalex.org/W4385571271","https://openalex.org/W4385573504","https://openalex.org/W4387835442","https://openalex.org/W4389520747","https://openalex.org/W6600553734","https://openalex.org/W6600696048","https://openalex.org/W6834284007"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Several":[0],"large":[1],"language":[2],"model":[3],"(LLM)":[4],"agents":[5],"have":[6,45,58],"been":[7,205],"constructed":[8],"for":[9,131,166],"diverse":[10],"purposes":[11],"such":[12],"as":[13,70],"web":[14],"navigation":[15],"and":[16,23,51,65,100,143,169,176,183,199,216],"online":[17],"shopping,":[18],"leveraging":[19],"the":[20,47,66,139],"broad":[21],"knowledge":[22],"text":[24],"comprehension":[25],"capabilities":[26],"of":[27,30,49,68,105,141,210,222],"LLMs.":[28],"Many":[29],"these":[31,54,87,124],"works":[32],"rely":[33],"on":[34,181],"in-context":[35,71],"examples":[36,72,93],"to":[37,73,109,122,153],"achieve":[38],"generalization":[39],"without":[40,95],"requiring":[41],"fine-tuning.":[42],"However,":[43],"few":[44],"addressed":[46],"challenge":[48],"selecting":[50],"effectively":[52,196],"utilizing":[53],"examples.":[55],"Recent":[56],"approaches":[57],"introduced":[59,152],"trajectory-level":[60],"retrieval":[61],"with":[62,103,158],"task":[63],"meta-data":[64],"use":[67],"trajectories":[69],"enhance":[74],"overall":[75],"performance":[76],"in":[77,207],"some":[78],"sequential":[79],"decision":[80],"making":[81],"tasks":[82],"like":[83,91],"computer":[84],"control.":[85],"Nevertheless,":[86],"methods":[88],"face":[89],"issues":[90],"plausible":[92],"retrieved":[94,155],"task-specific":[96],"state":[97],"transition":[98],"dynamics":[99],"long":[101],"input":[102,146],"plenty":[104],"irrelevant":[106,145],"context":[107,175],"due":[108],"using":[110],"complete":[111],"trajectories.":[112],"In":[113],"this":[114],"paper,":[115],"we":[116],"propose":[117],"a":[118,171,211],"novel":[119],"framework":[120],"(TRAD)":[121],"tackle":[123],"problems.":[125],"TRAD":[126,188,203],"first":[127],"employs":[128],"Thought":[129],"Retrieval":[130],"step-level":[132],"demonstration":[133,156],"selection":[134],"through":[135],"thought":[136,168],"matching,":[137],"enhancing":[138],"quality":[140],"demonstrations":[142],"reducing":[144],"noise.":[147,178],"Then,":[148],"Aligned":[149],"Decision":[150],"is":[151],"complement":[154],"steps":[157],"their":[159],"preceding":[160],"or":[161],"subsequent":[162],"steps,":[163],"providing":[164],"tolerance":[165],"imperfect":[167],"offering":[170],"balance":[172],"between":[173],"more":[174],"less":[177],"Extensive":[179],"experiments":[180],"ALFWorld":[182],"Mind2Web":[184],"benchmarks":[185],"demonstrate":[186],"that":[187],"not":[189],"only":[190],"surpasses":[191],"state-of-the-art":[192],"models":[193],"but":[194],"also":[195],"reduces":[197],"noise":[198],"promotes":[200],"generalization.":[201],"Furthermore,":[202],"has":[204],"deployed":[206],"real-world":[208],"scenarios":[209],"global":[212],"business":[213],"insurance":[214],"company":[215],"yields":[217],"an":[218],"improved":[219],"success":[220],"rate":[221],"robotic":[223],"process":[224],"automation.":[225],"Our":[226],"codes":[227],"are":[228],"available":[229],"at:":[230],"https://github.com/skyriver-2000/TRAD-Official.":[231]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2025-10-10T00:00:00"}