ExBody2:AdvancedExpressiveHumanoidWhole-BodyControl
This paper enables real-world humanoid robots to maintain stability while performing expressive moti
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Proposer-Agent-Evaluator(PAE):AutonomousSkillDiscoveryForFoundationModelInternetAgents
The vision of a broadly capable and goal-directed agent, such as an Internet-browsing agent in the d
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TiltedQuantileGradientUpdatesforQuantile-ConstrainedReinforcementLearning
Safe reinforcement learning (RL) is a popular and versatile paradigm to learn reward-maximizing poli
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SafeAgentBench:ABenchmarkforSafeTaskPlanningofEmbodiedLLMAgents
With the integration of large language models (LLMs), embodied agents have strong capabilities to ex
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ORFormer:Occlusion-RobustTransformerforAccurateFacialLandmarkDetection
Although facial landmark detection (FLD) has gained significant progress, existing FLD methods still
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LiftingScheme-BasedImplicitDisentanglementofEmotion-RelatedFacialDynamicsintheWild
In-the-wild Dynamic facial expression recognition (DFER) encounters a significant challenge in recog
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F-Bench:RethinkingHumanPreferenceEvaluationMetricsforBenchmarkingFaceGeneration,Customization,andRestoration
Artificial intelligence generative models exhibit remarkable capabilities in content creation, parti
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ContinuousPatientMonitoringwithAI:Real-TimeAnalysisofVideoinHospitalCareSettings
This study introduces an AI-driven platform for continuous and passive patient monitoring in hospita
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SWAN:PreprocessingSGDEnablesAdam-LevelPerformanceOnLLMTrainingWithSignificantMemoryReduction
Adaptive optimizers such as Adam (Kingma & Ba, 2015) have been central to the success of large langu
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AreYourLLMsCapableofStableReasoning?
The rapid advancement of Large Language Models (LLMs) has demonstrated remarkable progress in comple
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AgnosticismAboutArtificialConsciousness
Could an AI have conscious experiences? Any answer to this question should conform to Evidentialism
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HowOftenareFingerprintsRepeatedinthePopulation?ExpandingonEvidencefromAIWiththeBirthdayParadox
The assumption of fingerprint uniqueness is foundational in forensic science and central to criminal
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PreviousKnowledgeUtilizationInOnlineAnytimeBeliefSpacePlanning
Online planning under uncertainty remains a critical challenge in robotics and autonomous systems. W
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EquityintheUseofChatGPTfortheClassroom:AComparisonoftheAccuracyandPrecisionofChatGPT3.5vs.ChatGPT4withRespecttoStatisticsandDataScienceExams
A college education historically has been seen as method of moving upward with regards to income bra
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AIPERSONA:TowardsLife-longPersonalizationofLLMs
In this work, we introduce the task of life-long personalization of large language models. While rec
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LMUnit:Fine-grainedEvaluationwithNaturalLanguageUnitTests
As language models become integral to critical workflows, assessing their behavior remains a fundame
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IdentifyingBiasinDeepNeuralNetworksUsingImageTransforms
CNNs have become one of the most commonly used computational tool in the past two decades. One of th
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VidTok:AVersatileandOpen-SourceVideoTokenizer
Encoding video content into compact latent tokens has become a fundamental step in video generation
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SMOSE:SparseMixtureofShallowExpertsforInterpretableReinforcementLearninginContinuousControlTasks
Continuous control tasks often involve high-dimensional, dynamic, and non-linear environments. State
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Modality-InconsistentContinualLearningofMultimodalLargeLanguageModels
In this paper, we introduce Modality-Inconsistent Continual Learning (MICL), a new continual learnin
