PromptingwithPhonemes:EnhancingLLMMultilingualityfornon-LatinScriptLanguages
Multilingual LLMs have achieved remarkable benchmark performance, but we find they continue to under
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AdaptiveLengthImageTokenizationviaRecurrentAllocation
Current vision systems typically assign fixed-length representations to images, regardless of the in
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HowFarisVideoGenerationfromWorldModel:APhysicalLawPerspective
OpenAI's Sora highlights the potential of video generation for developing world models that adhere t
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ImprovingScientificHypothesisGenerationwithKnowledgeGroundedLargeLanguageModels
Large language models (LLMs) have demonstrated remarkable capabilities in various scientific domains
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AddressingUncertaintyinLLMstoEnhanceReliabilityinGenerativeAI
In this paper, we present a dynamic semantic clustering approach inspired by the Chinese Restaurant
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DeeR-VLA:DynamicInferenceofMultimodalLargeLanguageModelsforEfficientRobotExecution
MLLMs have demonstrated remarkable comprehension and reasoning capabilities with complex language an
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"GiveMeBF16orGiveMeDeath"?Accuracy-PerformanceTrade-OffsinLLMQuantization
Despite the popularity of large language model (LLM) quantization for inference acceleration, signif
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CanLargeLanguageModelsgeneralizeanalogysolvinglikepeoplecan?
When we solve an analogy we transfer information from a known context to a new one through abstract
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SimulationofNanorobotswithArtificialIntelligenceandReinforcementLearningforAdvancedCancerCellDetectionandTracking
Nanorobots are a promising development in targeted drug delivery and the treatment of neurological d
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DisruptingTestDevelopmentwithAIAssistants
Recent advancements in large language models, including GPT-4 and its variants, and Generative AI-as
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GenXD:GeneratingAny3Dand4DScenes
Recent developments in 2D visual generation have been remarkably successful. However, 3D and 4D gene
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EvaluatingtheAbilityofLargeLanguageModelstoGenerateVerifiableSpecificationsinVeriFast
Static verification is a powerful method for enhancing software quality, but it demands significant
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DefiningandEvaluatingPhysicalSafetyforLargeLanguageModels
Large Language Models (LLMs) are increasingly used to control robotic systems such as drones, but th
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EvaluatingCreativeShortStoryGenerationinHumansandLargeLanguageModels
Storytelling is a fundamental aspect of human communication, relying heavily on creativity to produc
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Grid-BasedProjectionofSpatialDataintoKnowledgeGraphs
The Spatial Knowledge Graphs (SKG) are experiencing growing adoption as a means to model real-world
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TargetedManipulationandDeceptionEmergewhenOptimizingLLMsforUserFeedback
As LLMs become more widely deployed, there is increasing interest in directly optimizing for feedbac
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CRMArena:UnderstandingtheCapacityofLLMAgentstoPerformProfessionalCRMTasksinRealisticEnvironments
Customer Relationship Management (CRM) systems are vital for modern enterprises, providing a foundat
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Hunyuan3D-1.0:AUnifiedFrameworkforText-to-3DandImage-to-3DGeneration
While 3D generative models have greatly improved artists' workflows, the existing diffusion models f
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ControlSynthNeuralODEs:ModelingDynamicalSystemswithGuaranteedConvergence
Neural ODEs (NODEs) are continuous-time neural networks (NNs) that can process data without the limi
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FederatedGNNsforEEG-BasedStrokeAssessment
Machine learning (ML) has the potential to become an essential tool in supporting clinical decision-
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