Arman Cohan
Assistant ProfessorCards
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Research
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2025
RouterRetriever: Routing over a Mixture of Expert Embedding Models
Lee H, Soldaini L, Cohan A, Seo M, Lo K. RouterRetriever: Routing over a Mixture of Expert Embedding Models. Proceedings Of The AAAI Conference On Artificial Intelligence 2025, 39: 11995-12003. DOI: 10.1609/aaai.v39i11.33306.Peer-Reviewed Original ResearchEmbedding modelRouting mechanismGeneral domain datasetsMulti-task trainingDomain-specific dataInformation retrieval methodsMulti-task modelDomain-specific expertsExpert retrievalInformation retrievalLanguage modelRouting techniquesRetrieval modelUnderperforming modelsRetrieval methodRetrievalSpecialized domainsDatasetGeneration researchExpertsQueryInformationLanguageTrainingEmbeddingmFollowIR: A Multilingual Benchmark for Instruction Following in Retrieval
Weller O, Chang B, Yang E, Yarmohammadi M, Barham S, MacAvaney S, Cohan A, Soldaini L, Van Durme B, Lawrie D. mFollowIR: A Multilingual Benchmark for Instruction Following in Retrieval. Lecture Notes In Computer Science 2025, 15573: 295-310. DOI: 10.1007/978-3-031-88711-6_19.Peer-Reviewed Original ResearchFollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions
Weller O, Chang B, MacAvaney S, Lo K, Cohan A, Van Durme B, Lawrie D, Soldaini L. FollowIR: Evaluating and Teaching Information Retrieval Models to Follow Instructions. 2025, 11926-11942. DOI: 10.18653/v1/2025.naacl-long.597.Peer-Reviewed Original Research
2024
L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models
Ni A, Yin P, Zhao Y, Riddell M, Feng T, Shen R, Yin S, Liu Y, Yavuz S, Xiong C, Joty S, Zhou Y, Radev D, Cohan A, Cohan A. L2CEval: Evaluating Language-to-Code Generation Capabilities of Large Language Models. Transactions Of The Association For Computational Linguistics 2024, 12: 1311-1329. DOI: 10.1162/tacl_a_00705.Peer-Reviewed Original ResearchLanguage modelNatural language inputSemantic parsingHuman evaluationPretraining dataModel architectureModel sizeGeneration capabilityConfidence calibrationLearning paradigmPython programProject websiteTaskCapabilityLanguage inputParsingComprehensive evaluationLanguagePythonArchitectureCodeEvaluationLLMFramework1LearningBenchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization
Liu Y, Fabbri A, Chen J, Zhao Y, Han S, Joty S, Liu P, Radev D, Wu C, Cohan A. Benchmarking Generation and Evaluation Capabilities of Large Language Models for Instruction Controllable Summarization. 2024, 4481-4501. DOI: 10.18653/v1/2024.findings-naacl.280.Peer-Reviewed Original ResearchTESS: Text-to-Text Self-Conditioned Simplex Diffusion
Karimi Mahabadi R, Ivison H, Tae J, Henderson J, Beltagy I, Peters M, Cohan A. TESS: Text-to-Text Self-Conditioned Simplex Diffusion. 2024, 2347-2361. DOI: 10.18653/v1/2024.eacl-long.144.Peer-Reviewed Original Research
2023
Natural language processing in radiology: Clinical applications and future directions
Bobba P, Sailer A, Pruneski J, Beck S, Mozayan A, Mozayan S, Arango J, Cohan A, Chheang S. Natural language processing in radiology: Clinical applications and future directions. Clinical Imaging 2023, 97: 55-61. PMID: 36889116, DOI: 10.1016/j.clinimag.2023.02.014.Peer-Reviewed Original ResearchConceptsNatural language processingLanguage processingApplication of NLPText predictionElectronic health recordsHuman textHealth recordsEveryday lifeTranslation aidsMedical fieldTextFocused applicationFuture directionsApplicationsProcessingBotsComputerPotential future directionsWorkflowProvidersRadiologyArticleOpenRT: An Open-source Framework for Reasoning Over Tabular Data
Zhao Y, Mi B, Qi Z, Nan L, Guo M, Cohan A, Radev D. OpenRT: An Open-source Framework for Reasoning Over Tabular Data. 2023, 336-347. DOI: 10.18653/v1/2023.acl-demo.32.Peer-Reviewed Original ResearchPeek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering
Caciularu A, Peters M, Goldberger J, Dagan I, Cohan A. Peek Across: Improving Multi-Document Modeling via Cross-Document Question-Answering. 2023, 1970-1989. DOI: 10.18653/v1/2023.acl-long.110.Peer-Reviewed Original ResearchAligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning
Tang X, Cohan A, Gerstein M. Aligning Factual Consistency for Clinical Studies Summarization through Reinforcement Learning. 2023, 48-58. DOI: 10.18653/v1/2023.clinicalnlp-1.7.Peer-Reviewed Original Research
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