Papers
Mon 27 Jan 2025
285 papers
- Multi-Objective Reinforcement Learning for Power Grid Topology ControlDeep reinforcement learning methods → RL for energy, networks and operations
- Towards Safe AI Clinicians: A Comprehensive Study on Large Language Model Jailbreaking in HealthcareLLM safety and security → Safety alignment, refusal and guardrails
- TombRaider: Entering the Vault of History to Jailbreak Large Language ModelsLLM safety and security → Jailbreaking
- The TIP of the Iceberg: Revealing a Hidden Class of Task-in-Prompt Adversarial Attacks on LLMsLLM safety and security → Jailbreaking
- Membership Inference Attacks Against Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- VLMaterial: Procedural Material Generation with Large Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- Directing Mamba to Complex Textures: An Efficient Texture-Aware State Space Model for Image RestorationState-space sequence models (S4, Mamba) → Mamba for image restoration
- AffectGPT: A New Dataset, Model, and Benchmark for Emotion Understanding with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Multimodal emotion understanding
- LoRA-X: Bridging Foundation Models with Training-Free Cross-Model AdaptationDiffusion models → Image generation, text-to-image and editing
- PackDiT: Joint Human Motion and Text Generation via Mutual PromptingDiffusion models → Video generation
- Sample-Efficient Behavior Cloning Using General Domain KnowledgeOffline RL and imitation learning from data → Imitation learning methods
- Targeting Alignment: Extracting Safety Classifiers of Aligned LLMsLLM safety and security → Safety alignment, refusal and guardrails
- Deception in LLMs: Self-Preservation and Autonomous Goals in Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
- Decrypting the temperature field in flow boiling with latent diffusion modelsDiffusion models → Flow matching, time series and science
- Reinforcement Learning for Quantum Circuit Design: Using Matrix RepresentationsDeep reinforcement learning methods → Quantum reinforcement learning
- Smoothed Embeddings for Robust Language ModelsLLM safety and security → Jailbreaking
- Open Problems in Mechanistic InterpretabilityMechanistic interpretability → Circuits and mechanistic analysis
- Incalmo: An Autonomous LLM-assisted System for Red Teaming Multi-Host NetworksLLM safety and security → Prompt injection and agent security
- Object-Centric World Models from Few-Shot Annotations for Sample-Efficient Reinforcement LearningWorld models → Latent predictive world models +1
- PhysBench: Benchmarking and Enhancing Vision-Language Models for Physical World UnderstandingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- DynaPrompt: Dynamic Test-Time Prompt TuningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- RelightVid: Temporal-Consistent Diffusion Model for Video RelightingDiffusion models → 3D, point cloud and scene generation
- RAPID: Retrieval-Augmented Parallel Inference Drafting for Text-Based Video Event RetrievalRetrieval-augmented generation → Multimodal RAG
- FALCON: Resolving Visual Redundancy and Fragmentation in High-resolution Multimodal Large Language Models via Visual RegistersMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
- Mixture-of-Mamba: Enhancing Multi-Modal State-Space Models with Modality-Aware SparsityState-space sequence models (S4, Mamba) → Speech and audio SSMs
- Upside Down Reinforcement Learning with Policy GeneratorsDeep reinforcement learning methods → Deep RL algorithms and representations
- Brain-Adapter: Enhancing Neurological Disorder Analysis with Adapter-Tuning Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
- Multi-Agent Geospatial Copilots for Remote Sensing WorkflowsLLM agents and tool use → Multimodal and embodied agents
- Accelerating Quantum Reinforcement Learning with a Quantum Natural Policy Gradient Based ApproachDeep reinforcement learning methods → Quantum reinforcement learning
- Application of Structured State Space Models to High energy physics with locality-sensitive hashingState-space sequence models (S4, Mamba) → Core SSM architectures for language
- The Effect of Optimal Self-Distillation in Noisy Gaussian Mixture ModelKnowledge distillation → General knowledge distillation methods
- Provence: efficient and robust context pruning for retrieval-augmented generationRetrieval-augmented generation → Generation and context integration
- From Informal to Formal -- Incorporating and Evaluating LLMs on Natural Language Requirements to Verifiable Formal ProofsLLM reasoning → Mathematical reasoning
- Will Systems of LLM Agents Cooperate: An Investigation into a Social DilemmaLLM agents and tool use → Social simulation and multi-agent debate
- AdaMCoT: Rethinking Cross-Lingual Factual Reasoning through Adaptive Multilingual Chain-of-ThoughtLLM reasoning → Reasoning benchmarks and evaluation
- A Comprehensive Survey of Agents for Computer Use: Foundations, Challenges, and Future DirectionsLLM agents and tool use → GUI and mobile agents
- Towards General-Purpose Model-Free Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
- ReFill: Reinforcement Learning for Fill-In MinimizationDeep reinforcement learning methods → RL for games and combinatorial optimization
- SampleLLM: Optimizing Tabular Data Synthesis in RecommendationsSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
- Using Generative Models to Produce Realistic Populations of UK WindstormsDiffusion models → Flow matching, time series and science
- Static Batching of Irregular Workloads on GPUs: Framework and Application to Efficient MoE Model InferenceMixture-of-experts → Efficient MoE training and inference systems
- PISCO: Pretty Simple Compression for Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
- CILP-FGDI: Exploiting Vision-Language Model for Generalizable Person Re-IdentificationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
- Improving Tropical Cyclone Forecasting With Video Diffusion ModelsDiffusion models → Flow matching, time series and science
- Flexible Blood Glucose Control: Offline Reinforcement Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
- Inverse Reinforcement Learning via Convex OptimizationOffline RL and imitation learning from data → Inverse reinforcement learning +1
- TimeHF: Billion-Scale Time Series Models Guided by Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- Generative AI for Lyapunov Optimization Theory in UAV-based Low-Altitude Economy NetworkingDeep reinforcement learning methods → RL for robot navigation and UAV control
- Efficient Logit-based Knowledge Distillation of Deep Spiking Neural Networks for Full-Range Timestep DeploymentKnowledge distillation → Distillation for spiking neural networks
- Parametric Retrieval Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
- The Sample Complexity of Online Reinforcement Learning: A Multi-model PerspectiveDeep reinforcement learning methods → RL theory and sample complexity
- MPC4RL -- A Software Package for Reinforcement Learning based on Model Predictive ControlDeep reinforcement learning methods → RL for autonomous driving and traffic
- Benchmarking Quantum Reinforcement LearningDeep reinforcement learning methods → Quantum reinforcement learning
- Slot-Guided Adaptation of Pre-trained Diffusion Models for Object-Centric Learning and Compositional GenerationDiffusion models → Image generation, text-to-image and editing
- LLM-attacker: Enhancing Closed-loop Adversarial Scenario Generation for Autonomous Driving with Large Language ModelsEnd-to-end autonomous driving → Adversarial scenarios and safety testing
- SpatialVLA: Exploring Spatial Representations for Visual-Language-Action ModelVision-language-action models → 3D and spatial-aware VLA
- MADP: Multi-Agent Deductive Planning for Enhanced Cognitive-Behavioral Mental Health Question AnswerLLM agents and tool use → Medical and scientific domain agents
- MM-Retinal V2: Transfer an Elite Knowledge Spark into Fundus Vision-Language PretrainingMultimodal LLMs / vision-language models → Medical vision-language models
- Can Multimodal Large Language Models be Guided to Improve Industrial Anomaly Detection?Multimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Harnessing Diverse Perspectives: A Multi-Agent Framework for Enhanced Error Detection in Knowledge GraphsLLM agents and tool use → Web, search, and research agents
- Memorization and Regularization in Generative Diffusion ModelsDiffusion models → Diffusion foundations and sampling
- Large Language Models to Diffusion FinetuningLLM reasoning → Diffusion reasoning and test-time scaling
- Do Existing Testing Tools Really Uncover Gender Bias in Text-to-Image Models?Diffusion models → Image generation, text-to-image and editing
- LLM-powered Multi-agent Framework for Goal-oriented Learning in Intelligent Tutoring SystemLLM agents and tool use → Educational agents and math problem solving
- Selective Experience Sharing in Reinforcement Learning Enhances Interference ManagementDeep reinforcement learning methods → RL for games and combinatorial optimization
- Gensors: Authoring Personalized Visual Sensors with Multimodal Foundation Models and ReasoningLLM reasoning → Multimodal reasoning +1
- Representing data in words: A context engineering approach
- WinClick: GUI Grounding with Multimodal Large Language Models
- Beyond transparency: computational reliabilism as an externalist epistemology of algorithms
- iTRI-QA: a Toolset for Customized Question-Answer Dataset Generation Using Language Models for Enhanced Scientific Research
- Training AI to be Loyal
- Governing AI Beyond the Pretraining Frontier
- Making Sense of Data in the Wild: Data Analysis Automation at Scale
- Regulatory Science Innovation for Generative AI and Large Language Models in Health and Medicine: A Global Call for Action
- Kernels of Selfhood: GPT-4o shows humanlike patterns of cognitive consistency moderated by free choice
- Foundation for unbiased cross-validation of spatio-temporal models for species distribution modeling
- Optimizing Urban Service Allocation with Time-Constrained Restless Bandits
- Mitigating Traffic Oscillations in Mixed Traffic Flow with Scalable Deep Koopman Predictive Control
- LSU-Net: Lightweight Automatic Organs Segmentation Network For Medical Images
- MALT: Mechanistic Ablation of Lossy Translation in LLMs for a Low-Resource Language: Urdu
- Deformable Beta Splatting
- The Relationship Between Network Similarity and Transferability of Adversarial Attacks
- Radiance Surfaces: Optimizing Surface Representations with a 5D Radiance Field Loss
- Docling: An Efficient Open-Source Toolkit for AI-driven Document Conversion
- Audio Large Language Models Can Be Descriptive Speech Quality Evaluators
- Smart Cubing for Graph Search: A Comparative Study
- Improving LLM Leaderboards with Psychometrical Methodology
- Atla Selene Mini: A General Purpose Evaluation Model
- AI-assisted German Employment Contract Review: A Benchmark Dataset
- Decomposed Opinion Summarization with Verified Aspect-Aware Modules
- A Comprehensive Study on Fine-Tuning Large Language Models for Medical Question Answering Using Classification Models and Comparative Analysis
- HopCast: Calibration of Autoregressive Dynamics Models
- DialUp! Modeling the Language Continuum by Adapting Models to Dialects and Dialects to Models
- Generative AI Uses and Risks for Knowledge Workers in a Science Organization
- Optimization Landscapes Learned: Proxy Networks Boost Convergence in Physics-based Inverse Problems
- Efficient Object Detection of Marine Debris using Pruned YOLO Model
- C-HDNet: Hyperdimensional Computing for Causal Effect Estimation from Observational Data Under Network Interference
- Distributional Information Embedding: A Framework for Multi-bit Watermarking
- PhysAnimator: Physics-Guided Generative Cartoon Animation
- Reconciling Predictive Multiplicity in Practice
All 285
- UniPET-SPK: A Unified Framework for Parameter-Efficient Tuning of Pre-trained Speech Models for Robust Speaker Verification
- Generalized Mission Planning for Heterogeneous Multi-Robot Teams via LLM-constructed Hierarchical Trees
- A comparison of data filtering techniques for English-Polish LLM-based machine translation in the biomedical domain
- Ancestral Inference and Learning for Branching Processes in Random Environments
- Multi-Objective Deep-Learning-based Biomechanical Deformable Image Registration with MOREA
- Programming by Examples Meets Historical Linguistics: A Large Language Model Based Approach to Sound Law Induction
- On characterizing optimal learning trajectories in a class of learning problems
- Safe Gradient Flow for Bilevel Optimization
- Optimizing Decentralized Online Learning for Supervised Regression and Classification Problems
- How well can LLMs Grade Essays in Arabic?
- Characterizing Network Structure of Anti-Trans Actors on TikTok
- Digital Twin Enabled Site Specific Channel Precoding: Over the Air CIR Inference
- Towards Robust Stability Prediction in Smart Grids: GAN-based Approach under Data Constraints and Adversarial Challenges
- Nonparametric Sparse Online Learning of the Koopman Operator
- Generating customized prompts for Zero-Shot Rare Event Medical Image Classification using LLM
- Dynamic Risk Assessment for Autonomous Vehicles from Spatio-Temporal Probabilistic Occupancy Heatmaps
- Closed-Form Feedback-Free Learning with Forward Projection
- SIM: Surface-based fMRI Analysis for Inter-Subject Multimodal Decoding from Movie-Watching Experiments
- Object Detection for Medical Image Analysis: Insights from the RT-DETR Model
- Cross-Domain Semantic Segmentation with Large Language Model-Assisted Descriptor Generation
- BiFold: Bimanual Cloth Folding with Language Guidance
- CoCoNUT: Structural Code Understanding does not fall out of a tree
- Detecting Zero-Day Attacks in Digital Substations via In-Context Learning
- Information-theoretic Distinctions Between Deception and Confusion
- DynAlign: Unsupervised Dynamic Taxonomy Alignment for Cross-Domain Segmentation
- Classification of Mild Cognitive Impairment Based on Dynamic Functional Connectivity Using Spatio-Temporal Transformer
- DepoRanker: A Web Tool to predict Klebsiella Depolymerases using Machine Learning
- Is Open Source the Future of AI? A Data-Driven Approach
- Detecting clinician implicit biases in diagnoses using proximal causal inference
- Data-Efficient Machine Learning Potentials via Difference Vectors Based on Local Atomic Environments
- THOR: A Generic Energy Estimation Approach for On-Device Training
- TopoNets: High Performing Vision and Language Models with Brain-Like Topography
- sDREAMER: Self-distilled Mixture-of-Modality-Experts Transformer for Automatic Sleep Staging
- LUCY: Linguistic Understanding and Control Yielding Early Stage of Her
- Tailored Forecasting from Short Time Series via Meta-learning
- Implicit Bias in Matrix Factorization and its Explicit Realization in a New Architecture
- Adaptive Iterative Compression for High-Resolution Files: an Approach Focused on Preserving Visual Quality in Cinematic Workflows
- LinPrim: Linear Primitives for Differentiable Volumetric Rendering
- Evaluating The Performance of Using Large Language Models to Automate Summarization of CT Simulation Orders in Radiation Oncology
- Graph Neural Network Based Hybrid Beamforming Design in Wideband Terahertz MIMO-OFDM Systems
- Matryoshka Re-Ranker: A Flexible Re-Ranking Architecture With Configurable Depth and Width
- Large Models in Dialogue for Active Perception and Anomaly Detection
- Multi-view Structural Convolution Network for Domain-Invariant Point Cloud Recognition of Autonomous Vehicles
- A Unified Representation of Density-Power-Based Divergences Reducible to M-Estimation
- URAG: Implementing a Unified Hybrid RAG for Precise Answers in University Admission Chatbots -- A Case Study at HCMUT
- What is Formal Verification without Specifications? A Survey on mining LTL Specifications
- Return of the Encoder: Maximizing Parameter Efficiency for SLMs
- From Molecules to Mixtures: Learning Representations of Olfactory Mixture Similarity using Inductive Biases
- Training Dynamics of In-Context Learning in Linear Attention
- Improving DBMS Scheduling Decisions with Fine-grained Performance Prediction on Concurrent Queries -- Extended
- A foundation model for human-AI collaboration in medical literature mining
- Lightweight Weighted Average Ensemble Model for Pneumonia Detection in Chest X-Ray Images
- Zero-Shot Decision Tree Construction via Large Language Models
- CLISC: Bridging clip and sam by enhanced cam for unsupervised brain tumor segmentation
- Phase Transitions in Large Language Models and the O(N) Model
- Distilling foundation models for robust and efficient models in digital pathology
- Echoes of Discord: Forecasting Hater Reactions to Counterspeech
- PDC-ViT : Source Camera Identification using Pixel Difference Convolution and Vision Transformer
- Language-Based Bayesian Optimization Research Assistant (BORA)
- Statistical Inference for Low-Rank Tensor Models
- SPECIAL: Zero-shot Hyperspectral Image Classification With CLIP
- Automatic Calibration of a Multi-Camera System with Limited Overlapping Fields of View for 3D Surgical Scene Reconstruction
- DBRouting: Routing End User Queries to Databases for Answerability
- Smarter Together: Combining Large Language Models and Small Models for Physiological Signals Visual Inspection
- An FPGA-Based Neuro-Fuzzy Sensor for Personalized Driving Assistance
- UDBE: Unsupervised Diffusion-based Brightness Enhancement in Underwater Images
- Solving Turbulent Rayleigh-B'enard Convection using Fourier Neural Operators
- Enhancing and Exploring Mild Cognitive Impairment Detection with W2V-BERT-2.0
- The Last Dependency Crusade: Solving Python Dependency Conflicts with LLMs
- Learn to Optimize Resource Allocation under QoS Constraint of AR
- The Linear Attention Resurrection in Vision Transformer
- Can summarization approximate simplification? A gold standard comparison
- SWIFT: Mapping Sub-series with Wavelet Decomposition Improves Time Series Forecasting
- BAG: Body-Aligned 3D Wearable Asset Generation
- Measuring Heterogeneity in Machine Learning with Distributed Energy Distance
- Separate This, and All of these Things Around It: Music Source Separation via Hyperellipsoidal Queries
- Ringmaster ASGD: The First Asynchronous SGD with Optimal Time Complexity
- MetaDecorator: Generating Immersive Virtual Tours through Multimodality
- MILP initialization for solving parabolic PDEs with PINNs
- Efficient Portrait Matte Creation With Layer Diffusion and Connectivity Priors
- Toward Efficient Generalization in 3D Human Pose Estimation via a Canonical Domain Approach
- Evaluation of NMT-Assisted Grammar Transfer for a Multi-Language Configurable Data-to-Text System
- From #Dr00gtiktok to #harmreduction: Exploring Substance Use Hashtags on TikTok
- Copyright and Competition: Estimating Supply and Demand with Unstructured Data
- A Unified Analysis of Stochastic Gradient Descent with Arbitrary Data Permutations and Beyond
- Fixed-sized clusters k-Means
- Survey: Understand the challenges of MachineLearning Experts using Named EntityRecognition Tools
- Explainable Multimodal Depression Recognition in Clinical Interviews via PHQ-Aligned Symptom Summarization
- 3D Reconstruction of non-visible surfaces of objects from a Single Depth View -- Comparative Study
- Automated Detection of Sport Highlights from Audio and Video Sources
- STAR: Stepwise Task Augmentation with Relation Learning for Aspect Sentiment Quad Prediction
- Value-oriented forecast reconciliation for renewables in electricity markets
- ARFlow: Autoregressive Flow with Hybrid Linear Attention
- Generating Spatial Synthetic Populations Using Wasserstein Generative Adversarial Network: A Case Study with EU-SILC Data for Helsinki and Thessaloniki
- Integration of LLM Quality Assurance into an NLG System
- RelCAT: Advancing Extraction of Clinical Inter-Entity Relationships from Unstructured Electronic Health Records
- Challenging Assumptions in Learning Generic Text Style Embeddings
- The Unbearable Lightness of Prompting: A Critical Reflection on the Environmental Impact of genAI use in Design Education
- Random Reshuffling for Stochastic Gradient Langevin Dynamics
- Skeleton-Guided-Translation: A Benchmarking Framework for Code Repository Translation with Fine-Grained Quality Evaluation
- Revisiting Projection-Free Online Learning with Time-Varying Constraints
- Addressing Out-of-Label Hazard Detection in Dashcam Videos: Insights from the COOOL Challenge
- Helping Johnny Make Sense of Privacy Policies with LLMs
- FDLLM: A Dedicated Detector for Black-Box LLMs Fingerprinting
- SketchYourSeg: Mask-Free Subjective Image Segmentation via Freehand Sketches
- Strategic Multi-Armed Bandit Problems Under Debt-Free Reporting
- MEL: Legal Spanish Language Model
- Gaussian credible intervals in Bayesian nonparametric estimation of the unseen
- ScaDyG:A New Paradigm for Large-scale Dynamic Graph Learning
- Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning
- Brain-Inspired Decentralized Satellite Learning in Space Computing Power Networks
- Real-Time Brain Tumor Detection in Intraoperative Ultrasound Using YOLO11: From Model Training to Deployment in the Operating Room
- 3CEL: A corpus of legal Spanish contract clauses
- MultiPDENet: PDE-embedded Learning with Multi-time-stepping for Accelerated Flow Simulation
- MatCLIP: Light- and Shape-Insensitive Assignment of PBR Material Models
- Classification Error Bound for Low Bayes Error Conditions in Machine Learning
- Integrating Probabilistic Trees and Causal Networks for Clinical and Epidemiological Data
- REINFORCE-ING Chemical Language Models for Drug Discovery
- An Explainable Disease Surveillance System for Early Prediction of Multiple Chronic Diseases
- Multi-View Attention Syntactic Enhanced Graph Convolutional Network for Aspect-based Sentiment Analysis
- Evaluating Data Influence in Meta Learning
- Rethinking the Bias of Foundation Model under Long-tailed Distribution
- Understanding Long Videos via LLM-Powered Entity Relation Graphs
- Enhancing the Convergence of Federated Learning Aggregation Strategies with Limited Data
- SAPPHIRE: Preconditioned Stochastic Variance Reduction for Faster Large-Scale Statistical Learning
- SkillScope: A Tool to Predict Fine-Grained Skills Needed to Solve Issues on GitHub
- Online Housing Market
- Evidential Physics-Informed Neural Networks
- Emilia: A Large-Scale, Extensive, Multilingual, and Diverse Dataset for Speech Generation
- Investigating the Sensitivity of Pre-trained Audio Embeddings to Common Effects
- Any2AnyTryon: Leveraging Adaptive Position Embeddings for Versatile Virtual Clothing Tasks
- Complexity in Complexity: Understanding Visual Complexity Through Structure, Color, and Surprise
- Adaptive Width Neural Networks
- Multivariate Feature Selection and Autoencoder Embeddings of Ovarian Cancer Clinical and Genetic Data
- Boli: A dataset for understanding stuttering experience and analyzing stuttered speech
- Optimizing Sentence Embedding with Pseudo-Labeling and Model Ensembles: A Hierarchical Framework for Enhanced NLP Tasks
- LCTG Bench: LLM Controlled Text Generation Benchmark
- D-PLS: Decoupled Semantic Segmentation for 4D-Panoptic-LiDAR-Segmentation
- Transfer of Knowledge through Reverse Annealing: A Preliminary Analysis of the Benefits and What to Share
- The Components of Collaborative Joint Perception and Prediction -- A Conceptual Framework
- Applications of Artificial Intelligence for Cross-language Intelligibility Assessment of Dysarthric Speech
- Are Transformers Able to Reason by Connecting Separated Knowledge in Training Data?
- CausalSR: Structural Causal Model-Driven Super-Resolution with Counterfactual Inference
- Data-Driven Prediction and Control of Hammerstein-Wiener Systems with Implicit Gaussian Processes
- Can Location Embeddings Enhance Super-Resolution of Satellite Imagery?
- Beyond In-Distribution Performance: A Cross-Dataset Study of Trajectory Prediction Robustness
- Controllable Hand Grasp Generation for HOI and Efficient Evaluation Methods
- CrySPAI: A new Crystal Structure Prediction Software Based on Artificial Intelligence
- Intelligent Code Embedding Framework for High-Precision Ransomware Detection via Multimodal Execution Path Analysis
- Skull-stripping induces shortcut learning in MRI-based Alzheimer's disease classification
- Hybrid Quantum Neural Networks with Amplitude Encoding: Advancing Recovery Rate Predictions
- FuzzyLight: A Robust Two-Stage Fuzzy Approach for Traffic Signal Control Works in Real Cities
- Long-Term Interest Clock: Fine-Grained Time Perception in Streaming Recommendation System
- AdaF^2M^2: Comprehensive Learning and Responsive Leveraging Features in Recommendation System
- ClearSight: Human Vision-Inspired Solutions for Event-Based Motion Deblurring
- Adaptive AI-based Decentralized Resource Management in the Cloud-Edge Continuum
- Can Molecular Evolution Mechanism Enhance Molecular Representation?
- LemmaHead: RAG Assisted Proof Generation Using Large Language Models
- Certified Interpolation Oversampling: Per-Instance Safety Guarantees for Imbalanced Learning
- Automatic Feedback Generation for Short Answer Questions using Answer Diagnostic Graphs
- Efficient Attention-Sharing Information Distillation Transformer for Lightweight Single Image Super-Resolution
- Is It Navajo? Accurate Language Detection in Endangered Athabaskan Languages
- Formal Verification of Markov Processes with Learned Parameters
- NanoHTNet: Nano Human Topology Network for Efficient 3D Human Pose Estimation
- Investigating Application of Deep Neural Networks in Intrusion Detection System Design
- Distributional Surgery for Language Model Activations
- Efficiency Bottlenecks of Convolutional Kolmogorov-Arnold Networks: A Comprehensive Scrutiny with ImageNet, AlexNet, LeNet and Tabular Classification
- GraphICL: Unlocking Graph Learning Potential in LLMs through Structured Prompt Design
- Weight-based Analysis of Detokenization in Language Models: Understanding the First Stage of Inference Without Inference
- Scale-Insensitive Neural Network Significance Tests
- Adversarially Robust Bloom Filters: Privacy, Reductions, and Open Problems
- IndicMMLU-Pro: Benchmarking Indic Large Language Models on Multi-Task Language Understanding
- Z-Stack Scanning can Improve AI Detection of Mitosis: A Case Study of Meningiomas
- Propositional Interpretability in Artificial Intelligence
- Automatic Machine Learning Framework to Study Morphological Parameters of AGN Host Galaxies within z < 1.4 in the Hyper Supreme-Cam Wide Survey
- Geometric Deep Learning for Automated Landmarking of Maxillary Arches on 3D Oral Scans from Newborns with Cleft Lip and Palate
- Leveraging Video Vision Transformer for Alzheimer's Disease Diagnosis from 3D Brain MRI
- Renewable Energy Prediction: A Comparative Study of Deep Learning Models for Complex Dataset Analysis
- Integrating Personalized Federated Learning with Control Systems for Enhanced Performance
- A Survey on Computational Pathology Foundation Models: Datasets, Adaptation Strategies, and Evaluation Tasks
- INRet: A General Framework for Accurate Retrieval of INRs for Shapes
- ESGSenticNet: A Neurosymbolic Knowledge Base for Corporate Sustainability Analysis
- CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling
- SeqSeg: Learning Local Segments for Automatic Vascular Model Construction
- StaICC: Standardized Evaluation for Classification Task in In-context Learning