mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 18 Apr 2025

244 papers

  1. AutoAdv: Automated Adversarial Prompting for Multi-Turn Jailbreaking of Large Language ModelsLLM safety and security → Jailbreaking
  2. SCRAG: Social Computing-Based Retrieval Augmented Generation for Community Response Forecasting in Social Media EnvironmentsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  3. MobileCity: An Efficient Framework for Large-Scale Urban Behavior SimulationLLM agents and tool use → Multimodal and embodied agents
  4. HPU: High-Bandwidth Processing Unit for Scalable, Cost-effective LLM Inference via GPU Co-processingEfficient LLM inference and serving → Serving systems and request scheduling
  5. VideoPASTA: 7K Preference Pairs That Matter for Video-LLM AlignmentLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
  6. LogicTree: Structured Proof Exploration for Coherent and Rigorous Logical Reasoning with Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  7. DoomArena: A framework for Testing AI Agents Against Evolving Security ThreatsLLM agents and tool use → Agent threats, guardrails and governance
  8. CAOTE: KV Cache Selection for LLMs via Attention Output Error-Based Token EvictionEfficient LLM inference and serving → KV cache optimization
  9. Rethinking Inference-Time Scaling: Efficiency Limits and Linguistic SignalsLLM reasoning → Test-time compute and efficient thinking
  10. Flowco: Rethinking Data Analysis in the Age of LLMsLLM reasoning → Reasoning benchmarks and evaluation
  11. Fashion-RAG: Multimodal Fashion Image Editing via Retrieval-Augmented GenerationRetrieval-augmented generation → Multimodal RAG +1
  12. Scaling LLaNA: Advancing NeRF-Language Understanding Through Large-Scale TrainingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  13. One Jump Is All You Need: Short-Cutting Transformers for Early Exit Prediction with One Jump to Fit All Exit LevelsEfficient LLM inference and serving → Early exit and edge inference
  14. Does Reinforcement Learning Really Incentivize Reasoning Capacity in LLMs Beyond the Base Model?LLM reasoning → Reinforcement learning for reasoning
  15. Generative AI Act II: Test Time Scaling Drives Cognition EngineeringLLM reasoning → Reasoning benchmarks and evaluation
  16. Feature Alignment and Representation Transfer in Knowledge Distillation for Large Language ModelsKnowledge distillation → General knowledge distillation methods
  17. CheXWorld: Exploring Image World Modeling for Radiograph Representation LearningWorld models → Medical and surgical world models
  18. Not All Rollouts are Useful: Down-Sampling Rollouts in LLM Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
  19. DiffOG: Differentiable Policy Trajectory Optimization with GeneralizabilityOffline RL and imitation learning from data → Robot manipulation imitation learning
  20. LearnAct: Few-Shot Mobile GUI Agent with a Unified Demonstration BenchmarkLLM agents and tool use → GUI and mobile agents
  21. Imitation Learning with Precisely Labeled Human DemonstrationsOffline RL and imitation learning from data → Robot manipulation imitation learning
  22. Learning Through Retrospection: Improving Trajectory Prediction for Automated Driving with Error FeedbackEnd-to-end autonomous driving → End-to-end system architecture
  23. BadApex: Backdoor Attack Based on Adaptive Optimization Mechanism of Black-box Large Language ModelsLLM safety and security → Backdoor and data poisoning attacks
  24. DP2Unlearning: An Efficient and Guaranteed Unlearning Framework for LLMsLLM safety and security → Machine unlearning
  25. Detecting Malicious Source Code in PyPI Packages with LLMs: Does RAG Come in Handy?Retrieval-augmented generation → Privacy and security of RAG
  26. Decoding Vision Transformers: the Diffusion Steering LensMechanistic interpretability → Interpreting and steering diffusion models
  27. Scaling sparse feature circuit finding for in-context learningMechanistic interpretability → SAE features and their applications
  28. ESPLoRA: Enhanced Spatial Precision with Low-Rank Adaption in Text-to-Image Diffusion Models for High-Definition SynthesisDiffusion models → Image generation, text-to-image and editing
  29. Human-aligned Deep Learning: Explainability, Causality, and Biological InspirationLLM reasoning → Clinical and biomedical applications
  30. OpenDeception: Learning Deception and Trust in Human-AI Interaction via Multi-Agent SimulationLLM agents and tool use → Social simulation and multi-agent debate
  31. Analysing the Robustness of Vision-Language-Models to Common CorruptionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  32. EyecareGPT: Boosting Comprehensive Ophthalmology Understanding with Tailored Dataset, Benchmark and ModelMultimodal LLMs / vision-language models → Medical vision-language models
  33. Simulating Before Planning: Constructing Intrinsic User World Model for User-Tailored Dialogue Policy PlanningWorld models → World models for language agents
  34. Remedy: Learning Machine Translation Evaluation from Human Preferences with Reward ModelingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  35. Thought Manipulation: External Thought Can Be Efficient for Large Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking
  36. SupResDiffGAN a new approach for the Super-Resolution taskDiffusion models → Inverse problems and image restoration
  37. Robust Humanoid Walking on Compliant and Uneven Terrain with Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  38. On the Importance of Tactile Sensing for Imitation Learning: A Case Study on Robotic Match LightingOffline RL and imitation learning from data → Robot manipulation imitation learning
  39. Compile Scene Graphs with Reinforcement LearningMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
  40. Entropic Time Schedulers for Generative Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  41. Fairness and Robustness in Machine UnlearningLLM safety and security → Machine unlearning
  42. Improving Generalization in Intent Detection: GRPO with Reward-Based Curriculum SamplingLLM reasoning → Reinforcement learning for reasoning
  43. RAG Without the Lag: Interactive Debugging for Retrieval-Augmented Generation PipelinesRetrieval-augmented generation → RAG pipeline design and evaluation
  44. DETAM: Defending LLMs Against Jailbreak Attacks via Targeted Attention ModificationLLM safety and security → Jailbreaking
  45. WeatherGen: A Unified Diverse Weather Generator for LiDAR Point Clouds via Spider Mamba DiffusionWorld models → World modeling from LiDAR generation +1
  46. A Novel Hybrid Approach for Retinal Vessel Segmentation with Dynamic Long-Range Dependency and Multi-Scale Retinal Edge Fusion EnhancementState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  47. MusFlow: Multimodal Music Generation via Conditional Flow MatchingDiffusion models → Audio, speech and music
  48. CoT-RAG: Integrating Chain of Thought and Retrieval-Augmented Generation to Enhance Reasoning in Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning +1
  49. Prejudge-Before-Think: Enhancing Large Language Models at Test-Time by Process Prejudge ReasoningLLM reasoning → Test-time compute and efficient thinking
  50. U-Shape Mamba: State Space Model for faster diffusionDiffusion models → Medical imaging and segmentation +1
  51. Early Timestep Zero-Shot Candidate Selection for Instruction-Guided Image EditingDiffusion models → Image generation, text-to-image and editing
  52. CodeVisionary: An Agent-based Framework for Evaluating Large Language Models in Code GenerationLLM agents and tool use → Software engineering coding agents
  53. Chain-of-Evidence Multimodal Reasoning for Few-shot Temporal Action LocalizationLLM reasoning → Multimodal reasoning
  54. Secure Multifaceted-RAG for Enterprise: Hybrid Knowledge Retrieval with Security FilteringRetrieval-augmented generation → Privacy and security of RAG
  55. A Model-Based Approach to Imitation Learning through Multi-Step PredictionsOffline RL and imitation learning from data → Imitation learning methods
  56. LangCoop: Collaborative Driving with LanguageEnd-to-end autonomous driving → Cooperative and V2X driving
  57. Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving SafetyEnd-to-end autonomous driving → VLMs for autonomous driving
  58. A mean teacher algorithm for unlearning of language modelsLLM safety and security → Machine unlearning
  59. Evolution of Optimization Algorithms for Global Placement via Large Language Models
  60. Towards Explainable and Lightweight AI for Real-Time Cyber Threat Hunting in Edge Networks
  61. Context-Awareness and Interpretability of Rare Occurrences for Discovery and Formalization of Critical Failure Modes
  62. DMind Benchmark: Toward a Holistic Assessment of LLM Capabilities across the Web3 Domain
  63. A Framework for Objective-Driven Dynamical Stochastic Fields
  64. Persistence-based Hough Transform for Line Detection
  65. AI-Based Vulnerability Analysis of NFT Smart Contracts
  66. SLAM-Based Navigation and Fault Resilience in a Surveillance Quadcopter with Embedded Vision Systems
  67. AI Agents and Hard Choices
  68. High-Throughput LLM inference on Heterogeneous Clusters
  69. System of Agentic AI for the Discovery of Metal-Organic Frameworks
  70. DanceText: A Training-Free Layered Framework for Controllable Multilingual Text Transformation in Images
  71. Signatures of human-like processing in Transformer forward passes
  72. Amplify Initiative: Building A Localized Data Platform for Globalized AI
  73. Coordinating Spinal and Limb Dynamics for Enhanced Sprawling Robot Mobility
  74. 6G WavesFM: A Foundation Model for Sensing, Communication, and Localization
  75. Enhancing Math Learning in an LMS Using AI-Driven Question Recommendations
  76. Personalizing Exposure Therapy via Reinforcement Learning
  77. Leakage and Interpretability in Concept-Based Models
  78. Retinex-guided Histogram Transformer for Mask-free Shadow Removal
  79. Low-Cost Infrared Vision Systems for Improved Safety of Emergency Vehicle Operations Under Low-Visibility Conditions
  80. Transformation of audio embeddings into interpretable, concept-based representations
  81. Towards Scale-Aware Low-Light Enhancement via Structure-Guided Transformer Design
  82. Evaluating Human-AI Interaction via Usability, User Experience and Acceptance Measures for MMM-C: A Creative AI System for Music Composition
  83. A CMOS Probabilistic Computing Chip With In-situ hardware Aware Learning
  84. Contextual Embedding-based Clustering to Identify Topics for Healthcare Service Improvement
  85. A Baseline for Self-state Identification and Classification in Mental Health Data: CLPsych 2025 Task
  86. Calliope: An Online Generative Music System for Symbolic Multi-Track Composition
  87. Apollo: An Interactive Environment for Generating Symbolic Musical Phrases using Corpus-based Style Imitation
  88. Occlusion-Ordered Semantic Instance Segmentation
  89. Review Text as a Leading Indicator of Displayed Reputation in Platform Rating Systems: Evidence from 34 U.S. Short-Term Rental Markets
  90. MMformer with Adaptive Transferable Attention: Advancing Multivariate Time Series Forecasting for Environmental Applications
  91. A synthetic dataset of French electric load curves with temperature conditioning
  92. Metacognition and Uncertainty Communication in Humans and Large Language Models
  93. Multi-Stage Retrieval for Operational Technology Cybersecurity Compliance Using Large Language Models: A Railway Casestudy
  94. MEQA: A Meta-Evaluation Framework for Question & Answer LLM Benchmarks
  95. Uncovering Conspiratorial Narratives within Arabic Online Content
  96. LoftUp: Learning a Coordinate-Based Feature Upsampler for Vision Foundation Models
  97. Assumptions to Evidence: Evaluating Security Practices Adoption and Their Impact on Outcomes in the npm Ecosystem
  98. Large Language Bayes
  99. Causal pieces: analysing and improving spiking neural networks piece by piece
  100. Knitting Robots: A Deep Learning Approach for Reverse-Engineering Fabric Patterns
All 244
  1. Predicting fermionic densities using a Projected Quantum Kernel method
  2. CPR: Leveraging LLMs for Topic and Phrase Suggestion to Facilitate Comprehensive Product Reviews
  3. First and Second Order Approximations to Stochastic Gradient Descent Methods with Momentum Terms
  4. Deep Learning on Graphs for Mobile Network Topology Generation
  5. PC-DeepNet: A GNSS Positioning Error Minimization Framework Using Permutation-Invariant Deep Neural Network
  6. Gradual Binary Search and Dimension Expansion : A general method for activation quantization in LLMs
  7. Recognizing Artificial Minds: A Philosophical Defense of AI Cognition
  8. Entropy Rectifying Guidance for Diffusion and Flow Models
  9. Forgetting in short and heterogeneous sequences of belief revisions
  10. QuatE-D: A Distance-Based Quaternion Model for Knowledge Graph Embedding
  11. When Machine Learning Meets Importance Sampling: A More Efficient Rare Event Estimation Approach
  12. CacheFormer: High Attention-Based Segment Caching
  13. Framework, Standards, Applications and Best practices of Responsible AI : A Comprehensive Survey
  14. Association between nutritional factors, inflammatory biomarkers and cancer types: an analysis of NHANES data using machine learning
  15. Outlier-Robust Multi-Model Fitting on Quantum Annealers
  16. MIG: Automatic Data Selection for Instruction Tuning by Maximizing Information Gain in Semantic Space
  17. From Papers to Panoramas: Building Hierarchies of Scientific Literature at Scale
  18. Parameter-Efficient Continual Fine-Tuning: A Survey
  19. Analyzing LLMs' Knowledge Boundary Cognition Across Languages Through the Lens of Internal Representations
  20. Near-optimal algorithms for private estimation and sequential testing of collision probability
  21. Transformer Encoder and Multi-features Time2Vec for Financial Prediction
  22. Meta-Learning and Knowledge Discovery based Physics-Informed Neural Network for Remaining Useful Life Prediction
  23. Binary and Ternary Quantization Can Enhance Feature Discrimination
  24. Collective Learning Mechanism based Optimal Transport Generative Adversarial Network for Non-parallel Voice Conversion
  25. RefComp: A Reference-guided Unified Framework for Unpaired Point Cloud Completion
  26. Probabilistic Stability Guarantees for Feature Attributions
  27. On the Relationship Between Robustness and Expressivity of Graph Neural Networks
  28. Beyond Misinformation: A Conceptual Framework for Studying AI Hallucinations in (Science) Communication
  29. Fighting Fires from Space: Leveraging Vision Transformers for Enhanced Wildfire Detection and Characterization
  30. Equi-Euler GraphNet: An Equivariant, Temporal-Dynamics Informed Graph Neural Network for Dual Force and Trajectory Prediction in Multi-Body Systems
  31. Fragile Watermarking for Image Certification Using Deep Steganographic Embedding
  32. Predictors of Childhood Vaccination Uptake in England: An Explainable Machine Learning Analysis of Longitudinal Regional Data (2021-2024)
  33. Towards Accurate and Lightweight Peripheral Neuroblastic Tumor Diagnosis via Contrastive Multi-scale Pathological Image Analysis
  34. Learning to Attribute with Attention
  35. A Survey for What Developers Require in AI-powered Tools that Aid in Component Selection in CBSD
  36. DAM-Net: Domain Adaptation Network with Micro-Labeled Fine-Tuning for Change Detection
  37. LimitNet: Progressive, Content-Aware Image Offloading for Extremely Weak Devices & Networks
  38. Dynamic Regularized CBDT: Variance-Calibrated Causal Boosting for Interpretable Heterogeneous Treatment Effects
  39. Controlled Territory and Conflict Tracking (CONTACT): (Geo-)Mapping Occupied Territory from Open Source Intelligence
  40. MLEP: Multi-granularity Local Entropy Patterns for Universal AI-generated Image Detection
  41. SLAM&Render: A Benchmark for the Intersection Between Neural Rendering, Gaussian Splatting and SLAM
  42. Few-Shot Referring Video Single- and Multi-Object Segmentation via Cross-Modal Affinity with Instance Sequence Matching
  43. Exploring Multimodal Prompt for Visualization Authoring with Large Language Models
  44. Green Robotic Mixed Reality with Gaussian Splatting
  45. Zebrafish Counting Using Event Stream Data
  46. MEGA: Second-Order Gradient Alignment for Catastrophic Forgetting Mitigation in GFSCIL
  47. AnyTSR: Any-Scale Thermal Super-Resolution for UAV
  48. Revisiting Uncertainty Quantification Evaluation in Language Models: Spurious Interactions with Response Length Bias Results
  49. Trace Gadgets: Minimizing Code Context for Machine Learning-Based Vulnerability Prediction
  50. Large Language Models Will Change The Way Children Think About Technology And Impact Every Interaction Paradigm
  51. Do Prompt Patterns Affect Code Quality? A First Empirical Assessment of ChatGPT-Generated Code
  52. Multi-Type Context-Aware Conversational Recommender Systems via Mixture-of-Experts
  53. Word Embedding Techniques for Classification of Star Ratings
  54. Enhancing Pothole Detection and Characterization: Integrated Segmentation and Depth Estimation in Road Anomaly Systems
  55. An Efficient LiDAR-Camera Fusion Network for Multi-Class 3D Dynamic Object Detection and Trajectory Prediction
  56. Efficient Parameter Adaptation for Multi-Modal Medical Image Segmentation and Prognosis
  57. Exploring the Potential for Large Language Models to Demonstrate Rational Probabilistic Beliefs
  58. DenSe-AdViT: A novel Vision Transformer for Dense SAR Object Detection
  59. Efficient algorithms for the Hadamard decomposition
  60. Multi-modal Knowledge Graph Generation with Semantics-enriched Prompts
  61. Divergent LLM Adoption and Heterogeneous Convergence Paths in Research Writing
  62. On the Convergence of Irregular Sampling in Reproducing Kernel Hilbert Spaces
  63. Visual Intention Grounding for Egocentric Assistants
  64. Long-context Non-factoid Question Answering in Indic Languages
  65. Adaptive Long-term Embedding with Denoising and Augmentation for Recommendation
  66. Cross-Hierarchical Bidirectional Consistency Learning for Fine-Grained Visual Classification
  67. FocusTrack: A Self-Adaptive Local Sampling Algorithm for Efficient Anti-UAV Tracking
  68. Continual Pre-Training is (not) What You Need in Domain Adaption
  69. ViG3D-UNet: Volumetric Vascular Connectivity-Aware Segmentation via 3D Vision Graph Representation
  70. Bitcoin's Edge: Embedded Sentiment in Blockchain Transactional Data
  71. FocusNet: Transformer-enhanced Polyp Segmentation with Local and Pooling Attention
  72. Collaborative Learning of Local 3D Occupancy Prediction and Versatile Global Occupancy Mapping
  73. KAN or MLP? Point Cloud Shows the Way Forward
  74. HAECcity: Open-Vocabulary Scene Understanding of City-Scale Point Clouds with Superpoint Graph Clustering
  75. Towards End-to-End Network Intent Management with Large Language Models
  76. How to Achieve Higher Accuracy with Less Training Points?
  77. Hysteresis-Aware Neural Network Modeling and Whole-Body Reinforcement Learning Control of Soft Robots
  78. Leveraging Automatic CAD Annotations for Supervised Learning in 3D Scene Understanding
  79. HDBFormer: Efficient RGB-D Semantic Segmentation with A Heterogeneous Dual-Branch Framework
  80. MSTIM: A MindSpore-Based Model for Traffic Flow Prediction
  81. MAAM: A Lightweight Multi-Agent Aggregation Module for Efficient Image Classification Based on the MindSpore Framework
  82. Bayesian continual learning and forgetting in neural networks
  83. MetaDSE: A Few-shot Meta-learning Framework for Cross-workload CPU Design Space Exploration
  84. Zero-Shot Industrial Anomaly Segmentation with Image-Aware Prompt Generation
  85. Transformers Can Overcome the Curse of Dimensionality: A Theoretical Study from an Approximation Perspective
  86. Task Assignment and Exploration Optimization for Low Altitude UAV Rescue via Generative AI Enhanced Multi-agent Reinforcement Learning
  87. Q-FAKER: Query-free Hard Black-box Attack via Controlled Generation
  88. Beyond One-Hot Labels: Semantic Mixing for Model Calibration
  89. Enhancing Multilingual Sentiment Analysis with Explainability for Sinhala, English, and Code-Mixed Content
  90. Irregular Sampling of High-Dimensional Functions in Reproducing Kernel Hilbert Spaces
  91. Scalable Multi-Task Learning through Spiking Neural Networks with Adaptive Task-Switching Policy for Intelligent Autonomous Agents
  92. EG-Gaussian: Epipolar Geometry and Graph Network Enhanced 3D Gaussian Splatting
  93. Quantum Walks-Based Adaptive Distribution Generation with Efficient CUDA-Q Acceleration
  94. Can Local Representation Alignment RNNs Solve Temporal Tasks?
  95. Improving Bayesian Optimization for Portfolio Management with an Adaptive Scheduling
  96. Designing a reliable lateral movement detector using a graph foundation model
  97. OBIFormer: A Fast Attentive Denoising Framework for Oracle Bone Inscriptions
  98. Cross-Modal Temporal Fusion for Financial Market Forecasting
  99. Deep Learning Models Meet Financial Data Modalities
  100. Filter2Noise: A Framework for Interpretable and Zero-Shot Low-Dose CT Image Denoising
  101. Optimizing Electric Vehicle Charging Station Locations: A Data-driven System with Multi-source Fusion
  102. Large Language Models for Validating Network Protocol Parsers
  103. Statistical Validation in Cultural Adaptations of Cognitive Tests: A Multi- Regional Systematic Review
  104. Monitor and Recover: A Paradigm for Future Research on Distribution Shift in Learning-Enabled Cyber-Physical Systems
  105. Latent Tensor Factorization with Nonlinear PID Control for Missing Data Recovery in Non-Intrusive Load Monitoring
  106. Integrating Locality-Aware Attention with Transformers for General Geometry PDEs
  107. SFL-LEO: Asynchronous Split-Federated Learning Design for LEO Satellite-Ground Network Framework
  108. Safety Monitoring for Learning-Enabled Cyber-Physical Systems in Out-of-Distribution Scenarios
  109. Hybrid Reasoning Systems That Prioritize and Enhance Human Intelligence
  110. Variational Autoencoder Framework for Hyperspectral Retrievals (Hyper-VAE) of Phytoplankton Absorption and Chlorophyll a in Coastal Waters for NASA's EMIT and PACE Missions
  111. LLM Sensitivity Evaluation Framework for Clinical Diagnosis
  112. From Large to Super-Tiny: End-to-End Optimization for Cost-Efficient LLMs
  113. HMPE:HeatMap Embedding for Efficient Transformer-Based Small Object Detection
  114. Are you SURE? Enhancing Multimodal Pretraining with Missing Modalities through Uncertainty Estimation
  115. Stratify: Rethinking Federated Learning for Non-IID Data through Balanced Sampling
  116. Learning from Noisy Pseudo-labels for All-Weather Land Cover Mapping
  117. Neural Ganglion Sensors: Learning Task-specific Event Cameras Inspired by the Neural Circuit of the Human Retina
  118. Using Machine Learning and Neural Networks to Analyze and Predict Chaos in Multi-Pendulum and Chaotic Systems
  119. MicroFlow: Domain-Specific Optical Flow for Ground Deformation Estimation in Seismic Events
  120. Ascribe New Dimensions to Scientific Data Visualization with VR
  121. Trust, but verify
  122. SatelliteCalculator: A Multi-Task Vision Foundation Model for Quantitative Remote Sensing Inversion
  123. Temporal Propagation of Asymmetric Feature Pyramid for Surgical Scene Segmentation
  124. D-GEN: Automatic Distractor Generation and Evaluation for Reliable Assessment of Generative Model
  125. Circular Quasiconformal Deturbulence: Geometry-Based Restoration from Multiple Turbulent Frames
  126. Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs
  127. HSACNet: Hierarchical Scale-Aware Consistency Regularized Semi-Supervised Change Detection
  128. Simplifying Graph Convolutional Networks with Redundancy-Free Neighbors
  129. Equilibrium Conserving Neural Operators for Super-Resolution Learning
  130. Mono3R: Exploiting Monocular Cues for Geometric 3D Reconstruction
  131. STAMP Your Content: Proving Dataset Membership via Watermarked Rephrasings
  132. DADU: Dual Attention-based Deep Supervised UNet for Automated Semantic Segmentation of Cardiac Images
  133. Adaptive Non-local Observable on Quantum Neural Networks
  134. How Learnable Grids Recover Fine Detail in Low Dimensions: A Neural Tangent Kernel Analysis of Multigrid Parametric Encodings
  135. OpCode-Based Malware Classification Using Machine Learning and Deep Learning Techniques
  136. LoRA-Based Continual Learning with Constraints on Critical Parameter Changes
  137. ProgRoCC: A Progressive Approach to Rough Crowd Counting
  138. CytoFM: The first cytology foundation model
  139. Quantum repeaters enhanced by vacuum beam guides
  140. BeetleVerse: A Study on Taxonomic Classification of Ground Beetles
  141. POET: Supporting Prompting Creativity and Personalization with Automated Expansion of Text-to-Image Generation
  142. Cardiac MRI Semantic Segmentation for Ventricles and Myocardium using Deep Learning
  143. Accelerated Optimization of Implicit Neural Representations for CT Reconstruction
  144. Supervising 3D Talking Head Avatars with Analysis-by-Audio-Synthesis