ACING:Actor-CriticforInstructionLearninginBlack-BoxLargeLanguageModels
The effectiveness of Large Language Models (LLMs) in solving tasks vastly depends on the quality of
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BenchmarkingPositionalEncodingsforGNNsandGraphTransformers
Recent advances in Graph Neural Networks (GNNs) and Graph Transformers (GTs) have been driven by inn
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Heuristic-FreeMulti-TeacherLearning
We introduce Teacher2Task, a novel framework for multi-teacher learning that eliminates the need for
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AnAI-EnabledSideChannelPowerAnalysisBasedHardwareTrojanDetectionMethodforSecuringtheIntegratedCircuitsinCyber-PhysicalSystems
Cyber-physical systems rely on sensors, communication, and computing, all powered by integrated circ
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CATCH:ComplementaryAdaptiveToken-levelContrastiveDecodingtoMitigateHallucinationsinLVLMs
Large Vision-Language Model (LVLM) systems have demonstrated impressive vision-language reasoning ca
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EnhancingMulti-ClassDiseaseClassification:Neoplasms,Cardiovascular,NervousSystem,andDigestiveDisordersUsingAdvancedLLMs
In this research, we explored the improvement in terms of multi-class disease classification via pre
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WhenBackdoorsSpeak:UnderstandingLLMBackdoorAttacksThroughModel-GeneratedExplanations
Large Language Models (LLMs) are vulnerable to backdoor attacks, where hidden triggers can malicious
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AttributeInferenceAttacksforFederatedRegressionTasks
Federated Learning (FL) enables multiple clients, such as mobile phones and IoT devices, to collabor
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EnhancedSignLanguageTranslationbetweenAmericanSignLanguage(ASL)andIndianSignLanguage(ISL)UsingLLMs
We have come up with a research that hopes to provide a bridge between the users of American Sign La
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AIGuidedEarlyScreeningofCervicalCancer
In order to support the creation of reliable machine learning models for anomaly detection, this pro
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DeepLearning-DrivenHeatMapAnalysisforEvaluatingthicknessofWoundedSkinLayers
Understanding the appropriate skin layer thickness in wounded sites is an important tool to move for
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NeurosymbolicGraphEnrichmentforGroundedWorldModels
The development of artificial intelligence systems capable of understanding and reasoning about comp
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PoM:EfficientImageandVideoGenerationwiththePolynomialMixer
Diffusion models based on Multi-Head Attention (MHA) have become ubiquitous to generate high quality
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OptimizingAirlineReservationSystemswithEdge-EnabledMicroservices:AFrameworkforReal-TimeDataProcessingandEnhancedUserResponsiveness
The growing complexity of the operations of airline reservations requires a smart solution for the a
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CodeXEmbed:AGeneralistEmbeddingModelFamilyforMultiligualandMulti-taskCodeRetrieval
Despite the success of text retrieval in many NLP tasks, code retrieval remains a largely underexplo
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DLBacktrace:AModelAgnosticExplainabilityforanyDeepLearningModels
The rapid advancement of artificial intelligence has led to increasingly sophisticated deep learning
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Leadsee-Precip:ADeepLearningDiagnosticModelforPrecipitation
Recently, deep-learning weather forecasting models have surpassed traditional numerical models in te
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InstantPolicy:In-ContextImitationLearningviaGraphDiffusion
Following the impressive capabilities of in-context learning with large transformers, In-Context Imi
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EstimatingDarkMatterHaloMassesinSimulatedGalaxyClusterswithGraphNeuralNetworks
Galaxies grow and evolve in dark matter halos. Because dark matter is not visible, galaxies' halo ma
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STREAM:AUniversalState-SpaceModelforSparseGeometricData
Handling sparse and unstructured geometric data, such as point clouds or event-based vision, is a pr
