mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 24 Apr 2025

267 papers

  1. Aleph-Alpha-GermanWeb: Improving German-language LLM pre-training with model-based data curation and synthetic data generationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  2. Beyond Public Access in LLM Pre-Training DataLLM safety and security → Membership inference attacks
  3. An Empirical Study on Prompt Compression for Large Language ModelsEfficient LLM inference and serving → Prompt and context compression
  4. Position Paper: Towards Open Complex Human-AI Agents Collaboration Systems for Problem Solving and Knowledge ManagementLLM agents and tool use → General LLM agent frameworks and benchmarks
  5. ReCellTy: Domain-Specific Knowledge Graph Retrieval-Augmented LLMs Reasoning Workflow for Single-Cell AnnotationLLM reasoning → Clinical and biomedical applications +1
  6. RAGEN: Understanding Self-Evolution in LLM Agents via Multi-Turn Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
  7. JITServe: SLO-aware LLM Serving with Imprecise Request InformationEfficient LLM inference and serving → Serving systems and request scheduling
  8. Assessing the Potential of Generative Agents in Crowdsourced Fact-CheckingLLM agents and tool use → Web, search, and research agents
  9. BadMoE: Backdooring Mixture-of-Experts LLMs via Optimizing Routing Triggers and Infecting Dormant ExpertsMixture-of-experts → Expert routing strategies +1
  10. Benchmarking Multimodal Mathematical Reasoning with Explicit Visual DependencyLLM reasoning → Multimodal reasoning +1
  11. An Expectation-Maximization Perspective on Reinforcement Learning for LLM ReasoningLLM reasoning → Reinforcement learning for reasoning
  12. LLM Agent Swarm for Hypothesis-Driven Drug DiscoveryLLM agents and tool use → Medical and scientific domain agents
  13. CIVIL: Causal and Intuitive Visual Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  14. Collaborating Action by Action: A Multi-agent LLM Framework for Embodied ReasoningLLM reasoning → Reasoning for agents, planning and code +1
  15. Causality-Driven Neural Network Repair: Challenges and OpportunitiesLLM reasoning → Causal reasoning in LLMs
  16. Toward a Human-Centered Evaluation Framework for Trustworthy LLM-Powered GUI AgentsLLM agents and tool use → GUI and mobile agents
  17. DCT-Shield: A Robust Frequency Domain Defense against Malicious Image EditingDiffusion models → Robustness, privacy and adversarial aspects
  18. Token Sequence Compression for Efficient Multimodal ComputingMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  19. Do We Need Transformers to Play FPS Video Games?Offline RL and imitation learning from data → Decision transformers and sequence modeling +1
  20. Flow Matching Ergodic CoverageDiffusion models → Diffusion and flow policies for robotics
  21. High-Performance Reinforcement Learning on Spot: Optimizing Simulation Parameters with Distributional MeasuresDeep reinforcement learning methods → RL for robot locomotion and manipulation
  22. CaRL: Learning Scalable Planning Policies with Simple RewardsDeep reinforcement learning methods → RL for autonomous driving and traffic
  23. Evolution Meets Diffusion: Efficient Neural Architecture GenerationDiffusion models → Diffusion foundations and sampling
  24. FashionM3: Multimodal, Multitask, and Multiround Fashion Assistant based on Unified Vision-Language ModelMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  25. Dual Prompting Image Restoration with Diffusion TransformersDiffusion models → Inverse problems and image restoration
  26. LiDPM: Rethinking Point Diffusion for Lidar Scene CompletionWorld models → World modeling from LiDAR generation +1
  27. Integrating Learning-Based Manipulation and Physics-Based Locomotion for Whole-Body Badminton Robot ControlOffline RL and imitation learning from data → Real-world robot offline RL +1
  28. Safety in Large Reasoning Models: A SurveyLLM reasoning → Reasoning for agents, planning and code
  29. Data-Driven Calibration of Prediction Sets in Large Vision-Language Models Based on Inductive Conformal PredictionMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  30. Evaluating Intermediate Reasoning of Code-Assisted Large Language Models for MathematicsLLM reasoning → Mathematical reasoning
  31. Beyond Labels: Zero-Shot Diabetic Foot Ulcer Wound Segmentation with Self-attention Diffusion Models and the Potential for Text-Guided CustomizationDiffusion models → Medical imaging and segmentation
  32. SAPO-RL: Sequential Actuator Placement Optimization for Fuselage Assembly via Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  33. CHIME: A Case for Efficient Long-Context Attention-FC Disaggregated Inference with DIMM-PIMEfficient LLM inference and serving → KV cache optimization
  34. Advancing CMA-ES with Learning-Based Cooperative Coevolution for Scalable OptimizationDeep reinforcement learning methods → RL for games and combinatorial optimization
  35. DeepDistill: Enhancing LLM Reasoning Capabilities via Large-Scale Difficulty-Graded Data TrainingLLM reasoning → Reasoning benchmarks and evaluation
  36. A Comprehensive Survey of Knowledge-Based Vision Question Answering Systems: The Lifecycle of Knowledge in Visual Reasoning TaskLLM reasoning → Multimodal reasoning
  37. Cooperative Task Offloading through Asynchronous Deep Reinforcement Learning in Mobile Edge Computing for Future NetworksDeep reinforcement learning methods → RL for energy, networks and operations
  38. ESDiff: Encoding Strategy-inspired Diffusion Model with Few-shot Learning for Color Image InpaintingDiffusion models → 3D, point cloud and scene generation
  39. Mamba-Sea: A Mamba-based Framework with Global-to-Local Sequence Augmentation for Generalizable Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  40. Plasticine: Accelerating Research in Plasticity-Motivated Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  41. Unified attacks to large language model watermarks: spoofing and scrubbing in unauthorized knowledge distillationLLM safety and security → Watermarking generated content and models +1
  42. FRAG: Frame Selection Augmented Generation for Long Video and Long Document UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs
  43. Breaking the Modality Barrier: Universal Embedding Learning with Multimodal LLMsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  44. 3DV-TON: Textured 3D-Guided Consistent Video Try-on via Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  45. StereoMamba: Real-time and Robust Intraoperative Stereo Disparity Estimation via Long-range Spatial DependenciesState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  46. SDVPT: Semantic-Driven Visual Prompt Tuning for Open-World Object CountingMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  47. On-Device Qwen2.5: Efficient LLM Inference with Model Compression and Hardware AccelerationEfficient LLM inference and serving → Serving systems and request scheduling
  48. TimeSoccer: An End-to-End Multimodal Large Language Model for Soccer Commentary GenerationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  49. Comprehend, Divide, and Conquer: Feature Subspace Exploration via Multi-Agent Hierarchical Reinforcement LearningLLM agents and tool use → Reinforcement learning for LLM agents
  50. DataScout: Automatic Data Fact Retrieval for Statement Augmentation with an LLM-Based AgentLLM agents and tool use → Web, search, and research agents
  51. CKMDiff: A Generative Diffusion Model for CKM Construction via Inverse Problems with Learned PriorsDiffusion models → Diffusion for compression and wireless
  52. DIMT25@ICDAR2025: HW-TSC's End-to-End Document Image Machine Translation System Leveraging Large Vision-Language ModelMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  53. The Ultimate Cookbook for Invisible Poison: Crafting Subtle Clean-Label Text Backdoors with Style AttributesLLM safety and security → Backdoor and data poisoning attacks
  54. Cracking the Code of Action: a Generative Approach to Affordances for Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
  55. Towards Generalized and Training-Free Text-Guided Semantic ManipulationDiffusion models → Image generation, text-to-image and editing
  56. DIVE: Inverting Conditional Diffusion Models for Discriminative TasksDiffusion models → Image generation, text-to-image and editing
  57. Crisp: Cognitive Restructuring of Negative Thoughts through Multi-turn Supportive DialoguesLLM reasoning → Clinical and biomedical applications
  58. Does Knowledge Distillation Matter for Large Language Model based Bundle Generation?LLM reasoning → Prompting and chain-of-thought reasoning +1
  59. Enhancing Variational Autoencoders with Smooth Robust Latent EncodingDiffusion models → Diffusion foundations and sampling
  60. Synthetic Power Flow Data Generation Using Physics-Informed Denoising Diffusion Probabilistic ModelsDiffusion models → Flow matching, time series and science
  61. Perspective-Aware Reasoning in Vision-Language Models via Mental Imagery SimulationLLM reasoning → Spatial and embodied reasoning +1
  62. A RAG-Based Multi-Agent LLM System for Natural Hazard Resilience and AdaptationRetrieval-augmented generation → Agentic RAG, agents and memory +1
  63. AUTHENTICATION: Identifying Rare Failure Modes in Autonomous Vehicle Perception Systems using Adversarially Guided Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
  64. Propositional Measure Logic
  65. FinBERT-QA: Financial Question Answering with pre-trained BERT Language Models
  66. Ustnlp16 at SemEval-2025 Task 9: Improving Model Performance through Imbalance Handling and Focal Loss
  67. EPSILON: Adaptive Fault Mitigation in Approximate Deep Neural Network using Statistical Signatures
  68. Improving Deep Knowledge Tracing via Gated Architectures and Adaptive Optimization
  69. A Simple Review of EEG Foundation Models: Datasets, Advancements and Future Perspectives
  70. Toward Personalizing Quantum Computing Education: An Evolutionary LLM-Powered Approach
  71. The Philosophic Turn for AI Agents: Replacing centralized digital rhetoric with decentralized truth-seeking
  72. QuantBench: Benchmarking AI Methods for Quantitative Investment
  73. A Hybrid Framework for Real-Time Data Drift and Anomaly Identification Using Hierarchical Temporal Memory and Statistical Tests
  74. Optimizing the Privacy-Utility Balance using Synthetic Data and Configurable Perturbation Pipelines
  75. EnviroPiNet: A Physics-Guided AI Model for Predicting Biofilter Performance
  76. RaPA: Enhancing Transferable Targeted Attacks via Random Parameter Pruning
  77. Severity Classification of Chronic Obstructive Pulmonary Disease in Intensive Care Units: A Semi-Supervised Approach Using MIMIC-III Dataset
  78. Geometry aware inference of steady state PDEs using Equivariant Neural Fields representations
  79. A multilevel approach to accelerate the training of Transformers
  80. Dynamic QoS Prediction via a Non-Negative Tensor Snowflake Factorization
  81. A Decade of You Only Look Once (YOLO) for Object Detection: A Review
  82. Fast Autoregressive Models for Continuous Latent Generation
  83. Fuzzy-RRT for Obstacle Avoidance in a 2-DOF Semi-Autonomous Surgical Robotic Arm
  84. Optimism, Expectation, or Sarcasm? Multi-Class Hope Speech Detection in Spanish and English
  85. Plug-and-Play Physics-informed Learning using Uncertainty Quantified Port-Hamiltonian Models
  86. Evaluating Machine Expertise: How Graduate Students Develop Frameworks for Assessing GenAI Content
  87. Mathematics of Continual Learning
  88. iVR-GS: Inverse Volume Rendering for Explorable Visualization via Editable 3D Gaussian Splatting
  89. Fishing for Phishers: Learning-Based Phishing Detection in Ethereum Transactions
  90. Spectral Bias Correction in PINNs for Myocardial Image Registration of Pathological Data
  91. Predicting Dairy Calf Body Weight from Depth Images Using Deep Learning (YOLOv8) and Threshold Segmentation with Cross-Validation and Longitudinal Analysis
  92. A computational model of infant sensorimotor exploration in the mobile paradigm
  93. Machine Learning-Based Prediction of Quality Shifts on Video Streaming Over 5G
  94. Masked strategies for images with small objects
  95. Optimized Approaches to Malware Detection: A Study of Machine Learning and Deep Learning Techniques
  96. ApproXAI: Energy-Efficient Hardware Acceleration of Explainable AI using Approximate Computing
  97. Avoiding Leakage Poisoning: Concept Interventions Under Distribution Shifts
  98. CANet: ChronoAdaptive Network for Enhanced Long-Term Time Series Forecasting under Non-Stationarity
  99. The use of Multi-domain Electroencephalogram Representations in the building of Models based on Convolutional and Recurrent Neural Networks for Epilepsy Detection
  100. TRACE: Textual Relevance Augmentation and Contextual Encoding for Multimodal Hate Detection
All 267
  1. Task and Skill Planning: Hierarchical Robot Planning with Black-Box Skills
  2. Material Identification Via RFID For Smart Shopping
  3. Unsupervised Corpus Poisoning Attacks in Continuous Space for Dense Retrieval
  4. Crypto-ncRNA: a bio-inspired post-quantum cryptographic primitive exploiting RNA folding complexity
  5. SOFARI-R: High-Dimensional Manifold-Based Inference for Latent Responses
  6. Set Phasers to Stun: Beaming Power and Control to Mobile Robots with Laser Light
  7. Learning Enhanced Ensemble Filters
  8. Unveiling the Hidden: Movie Genre and User Bias in Spoiler Detection
  9. The Role of Open-Source LLMs in Shaping the Future of GeoAI
  10. Fine-Tuning Adversarially-Robust Transformers for Single-Image Dehazing
  11. VEU-Bench: Towards Comprehensive Understanding of Video Editing
  12. Token-Shuffle: Towards High-Resolution Image Generation with Autoregressive Models
  13. Dynamic Camera Poses and Where to Find Them
  14. The Fourth Monocular Depth Estimation Challenge
  15. Unleashing the Power of Natural Audio Featuring Multiple Sound Sources
  16. Replay to Remember: Retaining Domain Knowledge in Streaming Language Models
  17. The Sparse Frontier: Sparse Attention Trade-offs in Transformer LLMs
  18. Step1X-Edit: A Practical Framework for General Image Editing
  19. Conversational Assistants to support Heart Failure Patients: comparing a Neurosymbolic Architecture with ChatGPT
  20. Disaggregated Deep Learning via In-Physics Computing at Radio Frequency
  21. Revisiting Reset Mechanisms in Spiking Neural Networks for Sequential Modeling: Specialized Discretization for Binary Activated RNN
  22. MSGCN: Multiplex Spatial Graph Convolution Network for Interlayer Link Weight Prediction
  23. Embedding Empirical Distributions for Computing Optimal Transport Maps
  24. Interpretable Early Detection of Parkinson's Disease through Speech Analysis
  25. EgoCHARM: Resource-Efficient Hierarchical Activity Recognition using an Egocentric IMU Sensor
  26. DPMambaIR: All-in-One Image Restoration via Degradation-Aware Prompt State Space Model
  27. Casual3DHDR: Deblurring High Dynamic Range 3D Gaussian Splatting from Casually Captured Videos
  28. Statistical Runtime Verification for LLMs via Robustness Estimation
  29. Conformal Segmentation in Industrial Surface Defect Detection with Statistical Guarantees
  30. Multilingual Performance Biases of Large Language Models in Education
  31. Evaluating Uncertainty in Deep Gaussian Processes
  32. Early Detection of Multidrug Resistance Using Multivariate Time Series Analysis and Interpretable Patient-Similarity Representations
  33. Generative Fields: Uncovering Hierarchical Feature Control for StyleGAN via Inverted Receptive Fields
  34. Plasma State Monitoring and Disruption Characterization using Multimodal VAEs
  35. Fault Detection in New Wind Turbines with Limited Data by Generative Transfer Learning
  36. Federated Learning: A Survey on Privacy-Preserving Collaborative Intelligence
  37. Hierarchical and Multimodal Data for Daily Activity Understanding
  38. PICO: Reconstructing 3D People In Contact with Objects
  39. BIM-Constrained Optimization for Accurate Localization and Deviation Correction in Construction Monitoring
  40. On the Generalization of Adversarially Trained Quantum Classifiers
  41. Ensemble Bayesian Inference: Leveraging Small Language Models to Achieve LLM-level Accuracy in Profile Matching Tasks
  42. INSIGHT: Bridging the Student-Teacher Gap in Times of Large Language Models
  43. Optimized Cloud Resource Allocation Using Genetic Algorithms for Energy Efficiency and QoS Assurance
  44. Energy Considerations of Large Language Model Inference and Efficiency Optimizations
  45. DiMeR: Disentangled Mesh Reconstruction Model
  46. Towards a HIPAA Compliant Agentic AI System in Healthcare
  47. On Multivariate Financial Time Series Classification
  48. The Malicious Technical Ecosystem: Exposing Limitations in Technical Governance of AI-Generated Non-Consensual Intimate Images of Adults
  49. Effortless, Simulation-Efficient Bayesian Inference using Tabular Foundation Models
  50. polyGen: A Learning Framework for Atomic-level Polymer Structure Generation
  51. Aerial Image Classification in Scarce and Unconstrained Environments via Conformal Prediction
  52. Towards a comprehensive taxonomy of online abusive language informed by machine leaning
  53. CLIPSE -- a minimalistic CLIP-based image search engine for research
  54. PTCL: Pseudo-Label Temporal Curriculum Learning for Label-Limited Dynamic Graph
  55. A Guide to Structureless Visual Localization
  56. Improving Open-World Object Localization by Discovering Background
  57. Deciphering the unique dynamic activation pathway in a G protein-coupled receptor enables unveiling biased signaling and identifying cryptic allosteric sites in conformational intermediates
  58. Likelihood-Free Variational Autoencoders
  59. Enhancing CNNs robustness to occlusions with bioinspired filters for border completion
  60. The effects of Hessian eigenvalue spectral density type on the applicability of Hessian analysis to generalization capability assessment of neural networks
  61. Decentralized Time Series Classification with ROCKET Features
  62. TarDiff: Target-Oriented Diffusion Guidance for Synthetic Electronic Health Record Time Series Generation
  63. STCL:Curriculum learning Strategies for deep learning image steganography models
  64. Interpretable non-linear dimensionality reduction using gaussian weighted linear transformation
  65. RGB-D Tracking via Hierarchical Modality Aggregation and Distribution Network
  66. Tamper-evident Image using JPEG Fixed Points
  67. A Machine Learning Approach for Denoising and Upsampling HRTFs
  68. Occlusion-Aware Self-Supervised Monocular Depth Estimation for Weak-Texture Endoscopic Images
  69. TileLang: A Composable Tiled Programming Model for AI Systems
  70. RAGAT-Mind: A Multi-Granular Modeling Approach for Rumor Detection Based on MindSpore
  71. Beyond Cox Models: Assessing the Performance of Machine-Learning Methods in Non-Proportional Hazards and Non-Linear Survival Analysis
  72. When Does Metadata Conditioning (NOT) Work for Language Model Pre-Training? A Study with Context-Free Grammars
  73. Unsupervised Urban Land Use Mapping with Street View Contrastive Clustering and a Geographical Prior
  74. HalluLens: LLM Hallucination Benchmark
  75. Quantum Autoencoder for Multivariate Time Series Anomaly Detection
  76. An introduction to R package `mvs`
  77. When Gaussian Meets Surfel: Ultra-fast High-fidelity Radiance Field Rendering
  78. Auditing the Ethical Logic of Generative AI Models
  79. An Explainable Nature-Inspired Framework for Monkeypox Diagnosis: Xception Features Combined with NGBoost and African Vultures Optimization Algorithm
  80. Proof of Useful Intelligence (PoUI): Blockchain Consensus Beyond Energy Waste
  81. Learning Isometric Embeddings of Road Networks using Multidimensional Scaling
  82. Towards Machine-Generated Code for the Resolution of User Intentions
  83. IRA: Adaptive Interest-aware Representation and Alignment for Personalized Multi-interest Retrieval
  84. TACO: Tackling Over-correction in Federated Learning with Tailored Adaptive Correction
  85. Text-to-Image Alignment in Denoising-Based Models through Step Selection
  86. TableCenterNet: A one-stage network for table structure recognition
  87. Communication-Efficient Personalized Distributed Learning with Data and Node Heterogeneity
  88. Tailored minimal reservoir computing: on the bidirectional connection between nonlinearities in the reservoir and in data
  89. RefVNLI: Towards Scalable Evaluation of Subject-driven Text-to-image Generation
  90. Combining GCN Structural Learning with LLM Chemical Knowledge for Enhanced Virtual Screening
  91. Goal-Oriented Time-Series Forecasting: Foundation Framework Design
  92. Prototype-enhanced prediction in graph neural networks for climate applications
  93. Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled yet Hard-to-Learn Samples in Noisy Data
  94. GRANITE : a Byzantine-Resilient Dynamic Gossip Learning Framework
  95. Evaluating Time Series Models for Urban Wastewater Management: Predictive Performance, Model Complexity and Resilience
  96. Unveiling Hidden Vulnerabilities in Digital Human Generation via Adversarial Attacks
  97. HMI: Hierarchical Knowledge Management for Efficient Multi-Tenant Inference in Pretrained Language Models
  98. CHASe: Client Heterogeneity-Aware Data Selection for Effective Federated Active Learning
  99. Creating Targeted, Interpretable Topic Models with LLM-Generated Text Augmentation
  100. Predict-Optimize-Distill: A Self-Improving Cycle for 4D Object Understanding
  101. Detection, Classification and Prevalence of Self-Admitted Aging Debt
  102. Towards Leveraging Large Language Model Summaries for Topic Modeling in Source Code
  103. Object Pose Estimation by Camera Arm Control Based on the Next Viewpoint Estimation
  104. Towards Harnessing the Collaborative Power of Large and Small Models for Domain Tasks
  105. HydroStartML: A combined machine learning and physics-based approach to reduce hydrological model spin-up time
  106. Super Co-alignment of Human and AI for Sustainable Symbiotic Society
  107. Coding for Computation: Efficient Compression of Neural Networks for Reconfigurable Hardware
  108. Assessing the Capability of Large Language Models for Domain-Specific Ontology Generation
  109. S2S-Net: Addressing the Domain Gap of Heterogeneous Sensor Systems in LiDAR-Based Collective Perception
  110. Fine-tune Smarter, Not Harder: Parameter-Efficient Fine-Tuning for Geospatial Foundation Models
  111. Towards User-Centred Design of AI-Assisted Decision-Making in Law Enforcement
  112. PicPersona-TOD : A Dataset for Personalizing Utterance Style in Task-Oriented Dialogue with Image Persona
  113. On the workflow, opportunities and challenges of developing foundation model in geophysics
  114. A Spatially-Aware Multiple Instance Learning Framework for Digital Pathology
  115. Highly Accurate and Diverse Traffic Data: The DeepScenario Open 3D Dataset
  116. Doubly Adaptive Social Learning
  117. LiveLongBench: Tackling Long-Context Understanding for Spoken Texts from Live Streams
  118. I-INR: Iterative Implicit Neural Representations
  119. PatientDx: Merging Large Language Models for Protecting Data-Privacy in Healthcare
  120. Collaborative Multi-Agent Reinforcement Learning for Automated Feature Transformation with Graph-Driven Path Optimization
  121. Data-Driven Surrogate Modeling Techniques to Predict the Effective Contact Area of Rough Surface Contact Problems
  122. M-MRE: Extending the Mutual Reinforcement Effect to Multimodal Information Extraction
  123. DRC: Enhancing Personalized Image Generation via Disentangled Representation Composition
  124. Dual-Individual Genetic Algorithm: A Dual-Individual Approach for Efficient Training of Multi-Layer Neural Networks
  125. TimeChat-Online: 80% Visual Tokens are Naturally Redundant in Streaming Videos
  126. Bridging Cognition and Emotion: Empathy-Driven Multimodal Misinformation Detection
  127. Exploring Context-aware and LLM-driven Locomotion for Immersive Virtual Reality
  128. Dargana: fine-tuning EarthPT for dynamic tree canopy mapping from space
  129. Class-Conditional Distribution Balancing for Group Robust Classification
  130. FLUKE: A Linguistically-Driven and Task-Agnostic Framework for Robustness Evaluation
  131. CoheMark: A Novel Sentence-Level Watermark for Enhanced Text Quality
  132. Advanced Segmentation of Diabetic Retinopathy Lesions Using DeepLabv3+
  133. Machine learning-based condition monitoring of powertrains in modern electric drives
  134. You Are What You Bought: Generating Customer Personas for E-commerce Applications
  135. AI-Enhanced Business Process Automation: A Case Study in the Insurance Domain Using Object-Centric Process Mining
  136. EdgePoint2: Compact Descriptors for Superior Efficiency and Accuracy
  137. Evaluating and Mitigating Bias in AI-Based Medical Text Generation
  138. ExOSITO: Explainable Off-Policy Learning with Side Information for Intensive Care Unit Blood Test Orders
  139. HeRB: Heterophily-Resolved Structure Balancer for Graph Neural Networks
  140. Signal Recovery from Random Dot-Product Graphs Under Local Differential Privacy
  141. JurisCTC: Enhancing Legal Judgment Prediction via Cross-Domain Transfer and Contrastive Learning
  142. Precision Neural Network Quantization via Learnable Adaptive Modules
  143. Symbolic Representation for Any-to-Any Generative Tasks
  144. Group Downsampling with Equivariant Anti-aliasing
  145. 3D Deep-learning-based Segmentation of Human Skin Sweat Glands and Their 3D Morphological Response to Temperature Variations
  146. Low-Resource Neural Machine Translation Using Recurrent Neural Networks and Transfer Learning: A Case Study on English-to-Igbo
  147. OmegAMP: Targeted AMP Discovery via Biologically Informed Generation
  148. NeuralGrok: Accelerate Grokking by Neural Gradient Transformation
  149. Rate-Distortion-Perception Theory for the Quadratic Wasserstein Space
  150. Scene Perceived Image Perceptual Score (SPIPS): combining global and local perception for image quality assessment
  151. Multi-Modal Traffic Analysis: Integrating Time-Series Forecasting, Accident Prediction, and Image Classification
  152. Range Image-Based Implicit Neural Compression for LiDAR Point Clouds
  153. Visual and Textual Prompts in VLLMs for Enhancing Emotion Recognition
  154. Towards Generalizable Deepfake Detection with Spatial-Frequency Collaborative Learning and Hierarchical Cross-Modal Fusion
  155. MASR: Self-Reflective Reasoning through Multimodal Hierarchical Attention Focusing for Agent-based Video Understanding
  156. High-Fidelity And Complex Test Data Generation For Google SQL Code Generation Services
  157. Automatically Generating Rules of Malicious Software Packages via Large Language Model
  158. A Double-Norm Aggregated Tensor Latent Factorization Model for Temporal-Aware Traffic Speed Imputation
  159. Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning
  160. We'll Fix it in Post: Improving Text-to-Video Generation with Neuro-Symbolic Feedback
  161. A Genealogy of Foundation Models in Remote Sensing
  162. Lessons from Deploying Learning-based CSI Localization on a Large-Scale ISAC Platform
  163. Improving Human-Autonomous Vehicle Interaction in Complex Systems
  164. Causal rule ensemble approach for multi-arm data
  165. PhysioSync: Temporal and Cross-Modal Contrastive Learning Inspired by Physiological Synchronization for EEG-Based Emotion Recognition
  166. A Comprehensive Review on RNA Subcellular Localization Prediction
  167. OUI Need to Talk About Weight Decay: A New Perspective on Overfitting Detection