{"id":"https://openalex.org/W4393063868","doi":"https://doi.org/10.48550/arxiv.2403.13787","title":"RewardBench: Evaluating Reward Models for Language Modeling","display_name":"RewardBench: Evaluating Reward Models for Language Modeling","publication_year":2024,"publication_date":"2024-03-20","ids":{"openalex":"https://openalex.org/W4393063868","doi":"https://doi.org/10.48550/arxiv.2403.13787"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2403.13787","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.13787","pdf_url":"https://arxiv.org/pdf/2403.13787","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2403.13787","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5083548887","display_name":"Nathan Lambert","orcid":"https://orcid.org/0000-0002-9997-6817"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Lambert, Nathan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034624275","display_name":"Valentina Pyatkin","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pyatkin, Valentina","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088629436","display_name":"Jacob Morrison","orcid":"https://orcid.org/0000-0001-8592-4744"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Morrison, Jacob","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084996762","display_name":"Lester James V. Miranda","orcid":"https://orcid.org/0000-0002-7872-6464"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Miranda, LJ","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013041264","display_name":"Bill Yuchen Lin","orcid":"https://orcid.org/0000-0002-1149-0186"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lin, Bill Yuchen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007169600","display_name":"Khyathi Raghavi Chandu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chandu, Khyathi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049618494","display_name":"Nouha Dziri","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dziri, Nouha","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032948428","display_name":"Sachin Kumar","orcid":"https://orcid.org/0000-0003-3949-0302"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kumar, Sachin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072598105","display_name":"Tom Zick","orcid":"https://orcid.org/0009-0005-4148-2004"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zick, Tom","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102992157","display_name":"Yejin Choi","orcid":"https://orcid.org/0000-0003-3032-5378"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Choi, Yejin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088517824","display_name":"Noah A. Smith","orcid":"https://orcid.org/0000-0002-2310-6380"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Smith, Noah A.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5082305994","display_name":"Hannaneh Hajishirzi","orcid":"https://orcid.org/0000-0002-1055-6657"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hajishirzi, Hannaneh","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":12,"corresponding_author_ids":["https://openalex.org/A5083548887"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":4,"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":0.954200029373169,"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":0.954200029373169,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9133999943733215,"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":0.47810572385787964},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.42847931385040283},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.384296178817749},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.36520683765411377},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.3385747969150543},{"id":"https://openalex.org/keywords/philosophy","display_name":"Philosophy","score":0.07730796933174133}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.47810572385787964},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.42847931385040283},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.384296178817749},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.36520683765411377},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.3385747969150543},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.07730796933174133}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2403.13787","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.13787","pdf_url":"https://arxiv.org/pdf/2403.13787","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2403.13787","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2403.13787","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":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2403.13787","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2403.13787","pdf_url":"https://arxiv.org/pdf/2403.13787","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4393063868.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Reward":[0],"models":[1,14,34,48,107,147,189],"(RMs)":[2],"are":[3,52,63],"at":[4],"the":[5,40,66,141,156,163,195],"crux":[6],"of":[7,29,46,76,95,152,160,167,186,194],"successfully":[8],"using":[9],"RLHF":[10,196],"to":[11,15,38,103,138],"align":[12],"pretrained":[13],"human":[16],"preferences,":[17],"yet":[18],"there":[19],"has":[20],"been":[21],"relatively":[22],"little":[23],"study":[24],"that":[25,122],"focuses":[26],"on":[27,109,176],"evaluation":[28],"those":[30],"models.":[31],"Evaluating":[32],"reward":[33,58,77,106,146,165,188],"presents":[35],"an":[36],"opportunity":[37],"understand":[39],"opaque":[41],"technologies":[42],"used":[43],"for":[44,57,87,120,178],"alignment":[45],"language":[47],"and":[49,61,85,101,112,162,182],"which":[50],"values":[51],"embedded":[53],"in":[54,65],"them.":[55,71],"Resources":[56],"model":[59],"training":[60,159],"understanding":[62,75,193],"sparse":[64],"nascent":[67],"open-source":[68],"community":[69],"around":[70],"To":[72],"enhance":[73],"scientific":[74],"models,":[78],"we":[79,144],"present":[80,173],"RewardBench,":[81],"a":[82,93,150,191],"benchmark":[83,104],"dataset":[84,91],"code-base":[86],"evaluation.":[88],"The":[89],"RewardBench":[90,142],"is":[92],"collection":[94],"prompt-chosen-rejected":[96],"trios":[97],"spanning":[98],"chat,":[99],"reasoning,":[100],"safety,":[102],"how":[105],"perform":[108],"challenging,":[110],"structured":[111],"out-of-distribution":[113],"queries.":[114],"We":[115,172],"create":[116],"specific":[117],"comparison":[118],"datasets":[119],"RMs":[121],"have":[123],"subtle,":[124],"but":[125],"verifiable":[126],"reasons":[127],"(e.g.":[128],"bugs,":[129],"incorrect":[130],"facts)":[131],"why":[132],"one":[133],"answer":[134],"should":[135],"be":[136],"preferred":[137],"another.":[139],"On":[140],"leaderboard,":[143],"evaluate":[145],"trained":[148],"with":[149],"variety":[151],"methods,":[153],"such":[154],"as":[155],"direct":[157],"MLE":[158],"classifiers":[161],"implicit":[164],"modeling":[166],"Direct":[168],"Preference":[169],"Optimization":[170],"(DPO).":[171],"many":[174],"findings":[175],"propensity":[177],"refusals,":[179],"reasoning":[180],"limitations,":[181],"instruction":[183],"following":[184],"shortcomings":[185],"various":[187],"towards":[190],"better":[192],"process.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-04T08:30:34.212998","created_date":"2025-10-10T00:00:00"}
