mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 22 Aug 2024

253 papers

  1. FIDAVL: Fake Image Detection and Attribution using Vision-Language ModelMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  2. 3D Photon Counting CT Image Super-Resolution Using Conditional Diffusion ModelDiffusion models → Medical imaging and segmentation
  3. Assessing Modality Bias in Video Question Answering Benchmarks with Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  4. NanoFlow: Towards Optimal Large Language Model Serving ThroughputEfficient LLM inference and serving → Serving systems and request scheduling
  5. SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model MergingMixture-of-experts → MoE large language models
  6. Generating Realistic X-ray Scattering Images Using Stable Diffusion and Human-in-the-loop AnnotationsDiffusion models → Medical imaging and segmentation
  7. Rethinking Training for De-biasing Text-to-Image Generation: Unlocking the Potential of Stable DiffusionDiffusion models → Image generation, text-to-image and editing
  8. Can LLMs Understand Social Norms in Autonomous Driving Games?End-to-end autonomous driving → Large language models for driving +1
  9. Building and better understanding vision-language models: insights and future directionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  10. Generative Diffusion Model-based Downscaling of Observed Sea Surface Height over Kuroshio Extension since 2000Diffusion models → Flow matching, time series and science
  11. xGen-VideoSyn-1: High-fidelity Text-to-Video Synthesis with Compressed RepresentationsDiffusion models → Video generation
  12. RuleAlign: Making Large Language Models Better Physicians with Diagnostic Rule AlignmentLLM alignment / RLHF / preference optimisation → Medical LLM alignment
  13. MuMA-ToM: Multi-modal Multi-Agent Theory of MindLLM agents and tool use → General LLM agent frameworks and benchmarks
  14. Jamba-1.5: Hybrid Transformer-Mamba Models at ScaleState-space sequence models (S4, Mamba) → Core SSM architectures for language
  15. ssProp: Energy-Efficient Training for Convolutional Neural Networks with Scheduled Sparse Back PropagationDiffusion models → Diffusion foundations and sampling
  16. Human-In-The-Loop Machine Learning for Safe and Ethical Autonomous Vehicles: Principles, Challenges, and OpportunitiesEnd-to-end autonomous driving → Cooperative and V2X driving
  17. Dynamics of Meta-learning Representation in the Teacher-student ScenarioKnowledge distillation → General knowledge distillation methods
  18. PCGRL+: Scaling, Control and Generalization in Reinforcement Learning Level GeneratorsDeep reinforcement learning methods → RL for games and combinatorial optimization
  19. MEDCO: Medical Education Copilots Based on A Multi-Agent FrameworkLLM agents and tool use → Medical and scientific domain agents
  20. Vintern-1B: An Efficient Multimodal Large Language Model for VietnameseMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  21. Envisioning Class Entity Reasoning by Large Language Models for Few-shot LearningLLM reasoning → Multimodal reasoning
  22. Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model EditingLLM reasoning → Knowledge- and tool-augmented reasoning
  23. EX-DRL: Hedging Against Heavy Losses with EXtreme Distributional Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
  24. FlexEdit: Marrying Free-Shape Masks to VLLM for Flexible Image EditingDiffusion models → Image generation, text-to-image and editing
  25. AlphaFolding: 4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion GuidanceDiffusion models → Flow matching, time series and science
  26. CODE: Confident Ordinary Differential EditingDiffusion models → Image generation, text-to-image and editing
  27. Unlearning Trojans in Large Language Models: A Comparison Between Natural Language and Source CodeLLM safety and security → Machine unlearning
  28. A Comparative Analysis of Faithfulness Metrics and Humans in Citation EvaluationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  29. Dynamic Product Image Generation and Recommendation at Scale for Personalized E-commerceDiffusion models → 3D, point cloud and scene generation
  30. LCM-SVC: Latent Diffusion Model Based Singing Voice Conversion with Inference Acceleration via Latent Consistency DistillationDiffusion models → Audio, speech and music
  31. GarmentAligner: Text-to-Garment Generation via Retrieval-augmented Multi-level CorrectionsRetrieval-augmented generation → Multimodal RAG
  32. Fine-tuning Smaller Language Models for Question Answering over Financial DocumentsLLM reasoning → Reasoning for agents, planning and code
  33. GRATR: Zero-Shot Evidence Graph Retrieval-Augmented Trustworthiness ReasoningLLM reasoning → Reasoning for agents, planning and code +1
  34. Interactive DualChecker for Mitigating Hallucinations in Distilling Large Language ModelsKnowledge distillation → Knowledge distillation for LLMs
  35. MaVEn: An Effective Multi-granularity Hybrid Visual Encoding Framework for Multimodal Large Language ModelLLM reasoning → Multimodal reasoning +1
  36. TensorOpera Router: A Multi-Model Router for Efficient LLM InferenceEfficient LLM inference and serving → Serving systems and request scheduling
  37. Large Language Models Are Self-Taught Reasoners: Enhancing LLM Applications via Tailored Problem-Solving DemonstrationsLLM reasoning → Reasoning benchmarks and evaluation
  38. Leveraging Unlabeled Data Sharing through Kernel Function Approximation in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  39. Variance reduction of diffusion model's gradients with Taylor approximation-based control variateDiffusion models → Diffusion foundations and sampling
  40. LLMs are not Zero-Shot Reasoners for Biomedical Information ExtractionLLM reasoning → Clinical and biomedical applications
  41. Scalable Autoregressive Image Generation with MambaState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
  42. MedDiT: A Knowledge-Controlled Diffusion Transformer Framework for Dynamic Medical Image Generation in Virtual Simulated PatientDiffusion models → Medical imaging and segmentation
  43. A Safety-Oriented Self-Learning Algorithm for Autonomous Driving: Evolution Starting from a Basic ModelEnd-to-end autonomous driving → Reinforcement learning for driving
  44. Reasoning Factual Knowledge in Structured Data with Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  45. A Safe and Efficient Self-evolving Algorithm for Decision-making and Control of Autonomous Driving SystemsEnd-to-end autonomous driving → Reinforcement learning for driving +1
  46. Preference-Guided Reflective Sampling for Aligning Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  47. DimeRec: A Unified Framework for Enhanced Sequential Recommendation via Generative Diffusion ModelsDiffusion models → Diffusion recommenders
  48. Multi-tool Integration Application for Math Reasoning Using Large Language ModelLLM reasoning → Mathematical reasoning
  49. MDD-5k: A New Diagnostic Conversation Dataset for Mental Disorders Synthesized via Neuro-Symbolic LLM AgentsLLM agents and tool use → Medical and scientific domain agents
  50. TRRG: Towards Truthful Radiology Report Generation With Cross-modal Disease Clue Enhanced Large Language ModelMultimodal LLMs / vision-language models → Medical vision-language models
  51. Provable Domain Adaptation for Offline Reinforcement Learning with Limited SamplesOffline RL and imitation learning from data → Offline RL algorithms
  52. S-EPOA: Overcoming the Indistinguishability of Segments with Skill-Driven Preference-Based Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
  53. SPARK: Multi-Vision Sensor Perception and Reasoning Benchmark for Large-scale Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
  54. Balancing Act: Prioritization Strategies for LLM-Designed Restless Bandit RewardsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  55. ZipGait: Bridging Skeleton and Silhouette with Diffusion Model for Advancing Gait RecognitionDiffusion models → Video generation
  56. Pareto Inverse Reinforcement Learning for Diverse Expert Policy GenerationOffline RL and imitation learning from data → Inverse reinforcement learning +1
  57. RoVRM: A Robust Visual Reward Model Optimized via Auxiliary Textual Preference DataMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
  58. SDE: A Simplified and Disentangled Dependency Encoding Framework for State Space Models in Time Series ForecastingState-space sequence models (S4, Mamba) → Time series forecasting with SSMs
  59. Aligning (Medical) LLMs for (Counterfactual) FairnessLLM alignment / RLHF / preference optimisation → Medical LLM alignment
  60. NUS-Emo at SemEval-2024 Task 3: Instruction-Tuning LLM for Multimodal Emotion-Cause Analysis in Conversations
  61. Optimizing Performance: How Compact Models Match or Exceed GPT's Classification Capabilities through Fine-Tuning
  62. Assessing the Uncertainty and Robustness of the Laptop Refurbishing Software
  63. A Greedy Hierarchical Approach to Whole-Network Filter-Pruning in CNNs
  64. Urban Mobility Assessment Using LLMs
  65. Enhancing Natural Language Inference Performance with Knowledge Graph for COVID-19 Automated Fact-Checking in Indonesian Language
  66. Understanding Literary Texts by LLMs: A Case Study of Ancient Chinese Poetry
  67. Multimodal Methods for Analyzing Learning and Training Environments: A Systematic Literature Review
  68. From Radiologist Report to Image Label: Assessing Latent Dirichlet Allocation in Training Neural Networks for Orthopedic Radiograph Classification
  69. When In-memory Computing Meets Spiking Neural Networks -- A Perspective on Device-Circuit-System-and-Algorithm Co-design
  70. Visual Verity in AI-Generated Imagery: Computational Metrics and Human-Centric Analysis
  71. Hierarchical Attention and Parallel Filter Fusion Network for Multi-Source Data Classification
  72. Contrastive Representation Learning for Dynamic Link Prediction in Temporal Networks
  73. ADRS-CNet: An adaptive dimensionality reduction selection and classification network for DNA storage clustering algorithms
  74. SLM Meets LLM: Balancing Latency, Interpretability and Consistency in Hallucination Detection
  75. CatFree3D: Category-agnostic 3D Object Detection with Diffusion
  76. TReX- Reusing Vision Transformer's Attention for Efficient Xbar-based Computing
  77. Quantum Convolutional Neural Networks are Effectively Classically Simulable
  78. Towards measuring fairness in speech recognition: Fair-Speech dataset
  79. Segment Anything Model for Grain Characterization in Hard Drive Design
  80. BankTweak: Adversarial Attack against Multi-Object Trackers by Manipulating Feature Banks
  81. Macro-Queries: An Exploration into Guided Chart Generation from High Level Prompts
  82. Revisiting Cross-Domain Problem for LiDAR-based 3D Object Detection
  83. Learning Valid Dual Bounds in Constraint Programming: Boosted Lagrangian Decomposition with Self-Supervised Learning
  84. Towards Estimating Personal Values in Song Lyrics
  85. Quantization-aware Matrix Factorization for Low Bit Rate Image Compression
  86. New Bounds on Quantum Sample Complexity of Measurement Classes
  87. MultiMed: Massively Multimodal and Multitask Medical Understanding
  88. GSFusion: Online RGB-D Mapping Where Gaussian Splatting Meets TSDF Fusion
  89. One-shot Video Imitation via Parameterized Symbolic Abstraction Graphs
  90. Enhancing Transferability of Adversarial Attacks with GE-AdvGAN+: A Comprehensive Framework for Gradient Editing
  91. Research on Improved U-net Based Remote Sensing Image Segmentation Algorithm
  92. Leveraging Information Consistency in Frequency and Spatial Domain for Adversarial Attacks
  93. Benchmarking Counterfactual Interpretability in Deep Learning Models for Time Series Classification
  94. Multilevel Interpretability Of Artificial Neural Networks: Leveraging Framework And Methods From Neuroscience
  95. Disentangled Structural and Featural Representation for Task-Agnostic Graph Valuation
  96. Hierarchical Generative Modeling of Melodic Vocal Contours in Hindustani Classical Music
  97. Improving Radiography Machine Learning Workflows via Metadata Management for Training Data Selection
  98. AI-driven Transformer Model for Fault Prediction in Non-Linear Dynamic Automotive System
  99. Wave-LSTM: Multi-scale analysis of somatic whole genome copy number profiles
  100. Joint Hypergraph Rewiring and Memory-Augmented Forecasting Techniques in Digital Twin Technology
All 253
  1. DreamCinema: Cinematic Transfer with Free Camera and 3D Character
  2. Controllable Text Generation for Large Language Models: A Survey
  3. ND-SDF: Learning Normal Deflection Fields for High-Fidelity Indoor Reconstruction
  4. Non-Homophilic Graph Pre-Training and Prompt Learning
  5. Automating Deformable Gasket Assembly
  6. Differentiable Logic Programming for Distant Supervision
  7. Real-Time Video Generation with Pyramid Attention Broadcast
  8. Identifying the Best Arm in the Presence of Global Environment Shifts
  9. A Percolation Model of Emergence: Analyzing Transformers Trained on a Formal Language
  10. Enhanced Parking Perception by Multi-Task Fisheye Cross-view Transformers
  11. Sapiens: Foundation for Human Vision Models
  12. Pruning By Explaining Revisited: Optimizing Attribution Methods to Prune CNNs and Transformers
  13. Factor Adjusted Spectral Clustering for Mixture Models
  14. Data Quality Antipatterns for Software Analytics
  15. Comparing YOLOv5 Variants for Vehicle Detection: A Performance Analysis
  16. Modeling Time-Dependent Responses of Optical Compressors with Selective State Space Models
  17. Towards Evaluating and Building Versatile Large Language Models for Medicine
  18. Automatic Organ and Pan-cancer Segmentation in Abdomen CT: the FLARE 2023 Challenge
  19. Deep Learning Improvements for Sparse Spatial Field Reconstruction
  20. Show-o: One Single Transformer to Unify Multimodal Understanding and Generation
  21. UMAD: University of Macau Anomaly Detection Benchmark Dataset
  22. Exploiting Student Parallelism for Efficient GPU Inference of BERT-like Models in Online Services
  23. Advanced atom-level representations for protein flexibility prediction utilizing graph neural networks
  24. Stochastic Compositional Minimax Optimization with Provable Convergence Guarantees
  25. The Russian-focused embedders' exploration: ruMTEB benchmark and Russian embedding model design
  26. GenderCARE: A Comprehensive Framework for Assessing and Reducing Gender Bias in Large Language Models
  27. AI in radiological imaging of soft-tissue and bone tumours: a systematic review evaluating against CLAIM and FUTURE-AI guidelines
  28. Scribbles for All: Benchmarking Scribble Supervised Segmentation Across Datasets
  29. Not All Samples Should Be Utilized Equally: Towards Understanding and Improving Dataset Distillation
  30. Self-Learning for Personalized Keyword Spotting on Ultra-Low-Power Audio Sensors
  31. Predicting Solar Energy Generation with Machine Learning based on AQI and Weather Features
  32. Frame Order Matters: A Temporal Sequence-Aware Model for Few-Shot Action Recognition
  33. WCEbleedGen: A wireless capsule endoscopy dataset and its benchmarking for automatic bleeding classification, detection, and segmentation
  34. Smartphone-based Eye Tracking System using Edge Intelligence and Model Optimisation
  35. Finding Closure: A Closer Look at the Gestalt Law of Closure in Convolutional Neural Networks
  36. Relaxed Rotational Equivariance via G-Biases in Vision
  37. The 2nd Solution for LSVOS Challenge RVOS Track: Spatial-temporal Refinement for Consistent Semantic Segmentation
  38. Verifiable Homomorphic Linear Combinations in Multi-Instance Time-Lock Puzzles
  39. A Riemannian Approach for Spatiotemporal Analysis and Generation of 4D Tree-shaped Structures
  40. Adapting MIMO video restoration networks to low latency constraints
  41. Robotic Eye-in-hand Visual Servo Axially Aligning Nasopharyngeal Swabs with the Nasal Cavity
  42. Positional Description for Numerical Normalization
  43. Enhanced Infield Agriculture with Interpretable Machine Learning Approaches for Crop Classification
  44. Dynamic Gated Recurrent Neural Network for Compute-efficient Speech Enhancement
  45. Multi-Knowledge Fusion Network for Time Series Representation Learning
  46. Dataset | Mindset = Explainable AI | Interpretable AI
  47. Dynamic PDB: A New Dataset and a SE(3) Model Extension by Integrating Dynamic Behaviors and Physical Properties in Protein Structures
  48. Multi-Source Knowledge-Based Hybrid Neural Framework for Time Series Representation Learning
  49. An Evaluation of Deep Learning Models for Stock Market Trend Prediction
  50. Generalized SAM: Efficient Fine-Tuning of SAM for Variable Input Image Sizes
  51. Multi-Style Facial Sketch Synthesis through Masked Generative Modeling
  52. Cross-Domain Foundation Model Adaptation: Pioneering Computer Vision Models for Geophysical Data Analysis
  53. Sharper Bounds for Chebyshev Moment Matching, with Applications
  54. Sampling Strategies based on Wisdom of Crowds for Amazon Deforestation Detection
  55. UMERegRobust - Universal Manifold Embedding Compatible Features for Robust Point Cloud Registration
  56. Cell-ontology guided transcriptome foundation model
  57. RoundTable: Leveraging Dynamic Schema and Contextual Autocomplete for Enhanced Query Precision in Tabular Question Answering
  58. Robust Principal Component Analysis via Discriminant Sample Weight Learning
  59. Enhancing Uncertainty Communication in Time Series Predictions: Insights and Recommendations
  60. SAM-SP: Self-Prompting Makes SAM Great Again
  61. CLEANANERCorp: Identifying and Correcting Incorrect Labels in the ANERcorp Dataset
  62. Class-balanced Open-set Semi-supervised Object Detection for Medical Images
  63. Distributed quasi-Newton robust estimation under differential privacy
  64. VTON-HandFit: Virtual Try-on for Arbitrary Hand Pose Guided by Hand Priors Embedding
  65. Boosting Graph Neural Network Expressivity with Learnable Lanczos Constraints
  66. Simplifying Random Forests' Probabilistic Forecasts
  67. Improving Factuality in Large Language Models via Decoding-Time Hallucinatory and Truthful Comparators
  68. EUIS-Net: A Convolutional Neural Network for Efficient Ultrasound Image Segmentation
  69. Zero-shot 3D General Obstacle Detection via Multimodal Foundation Models and Geometry
  70. Neural-ANOVA: Analytical Model Decomposition using Automatic Integration
  71. Towards Optimal Aggregation of Varying Range Dependencies in Haze Removal
  72. Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement
  73. MakeupAttack: Feature Space Black-box Backdoor Attack on Face Recognition via Makeup Transfer
  74. Deep Learning with CNNs: A Compact Holistic Tutorial with Focus on Supervised Regression (Preprint)
  75. Tipta uzmanlik sinavinda (tus) buyuk dil modelleri insanlardan daha mi basarili?
  76. OPTDTALS: Approximate Logic Synthesis via Optimal Decision Trees Approach
  77. Tackling Data Heterogeneity in Federated Learning via Loss Decomposition
  78. Multiple testing for signal-agnostic searches of new physics with machine learning
  79. AT-SNN: Adaptive Tokens for Vision Transformer on Spiking Neural Network
  80. Towards Deconfounded Image-Text Matching with Causal Inference
  81. Demystifying Functional Random Forests: Novel Explainability Tools for Model Transparency in High-Dimensional Spaces
  82. Subsurface Scattering for 3D Gaussian Splatting
  83. Developing vocal system impaired patient-aimed voice quality assessment approach using ASR representation-included multiple features
  84. Whole Slide Image Classification of Salivary Gland Tumours
  85. Geometrical structures of digital fluctuations in parameter space of neural networks trained with adaptive momentum optimization
  86. Accounts of using the Tustin-Net architecture on a rotary inverted pendulum
  87. Toward the Evaluation of Large Language Models Considering Score Variance across Instruction Templates
  88. How Safe is Your Safety Metric? Automatic Concatenation Tests for Metric Reliability
  89. A Language-agnostic Model of Child Language Acquisition
  90. Epsilon: Exploring Comprehensive Visual-Semantic Projection for Multi-Label Zero-Shot Learning
  91. Can Artificial Intelligence Embody Moral Values?
  92. PRG: Prompt-Based Distillation Without Annotation via Proxy Relational Graph
  93. Enhanced Fine-Tuning of Lightweight Domain-Specific Q&A Model Based on Large Language Models
  94. RT-OVAD: Real-Time Open-Vocabulary Aerial Object Detection via Image-Text Collaboration
  95. Weight Scope Alignment: A Frustratingly Easy Method for Model Merging
  96. BihoT: A Large-Scale Dataset and Benchmark for Hyperspectral Camouflaged Object Tracking
  97. EvalYaks: Instruction Tuning Datasets and LoRA Fine-tuned Models for Automated Scoring of CEFR B2 Speaking Assessment Transcripts
  98. Bridging Large Language Models and Optimization: A Unified Framework for Text-attributed Combinatorial Optimization
  99. Relational decomposition for program synthesis
  100. Computer-Aided Fall Recognition Using a Three-Stream Spatial-Temporal GCN Model with Adaptive Feature Aggregation
  101. Zeroth-Order Stochastic Mirror Descent Algorithms for Minimax Excess Risk Optimization
  102. Fair Augmentation for Graph Collaborative Filtering
  103. Efficient Learning for Linear Properties of Bounded-Gate Quantum Circuits
  104. Two-level deep domain decomposition method
  105. Large Language Models as Foundations for Next-Gen Dense Retrieval: A Comprehensive Empirical Assessment
  106. Empowering Wireless Network Applications with Deep Learning-based Radio Propagation Models
  107. Transientangelo: Few-Viewpoint Surface Reconstruction Using Single-Photon Lidar
  108. Transformers are Minimax Optimal Nonparametric In-Context Learners
  109. Rank and Align: Towards Effective Source-free Graph Domain Adaptation
  110. Randomness control and reproducibility study of random forest algorithm in R and Python
  111. Revisiting the Phenomenon of Syntactic Complexity Convergence on German Dialogue Data
  112. Measuring Orthogonality as the Blind-Spot of Uncertainty Disentanglement
  113. Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey
  114. FIRST: Teach A Reliable Large Language Model Through Efficient Trustworthy Distillation
  115. Rebalancing Multi-Label Class-Incremental Learning
  116. Search-Based LLMs for Code Optimization
  117. Implicit Sentiment Analysis Based on Chain of Thought Prompting
  118. A Tighter Complexity Analysis of SparseGPT
  119. DeepHQ: Learned Hierarchical Quantizer for Progressive Deep Image Coding
  120. DRExplainer: Quantifiable Interpretability in Drug Response Prediction with Directed Graph Convolutional Network
  121. Self-Supervised Representation Learning for Geospatial Objects: A Survey
  122. Deep Analysis of Time Series Data for Smart Grid Startup Strategies: A Transformer-LSTM-PSO Model Approach
  123. Diffusion-Based Visual Art Creation: A Survey and New Perspectives
  124. AutoTest: Evolutionary Code Solution Selection with Test Cases
  125. Recording Brain Activity While Listening to Music Using Wearable EEG Devices Combined with Bidirectional Long Short-Term Memory Networks
  126. Emotion-Agent: Unsupervised Deep Reinforcement Learning with Distribution-Prototype Reward for Continuous Emotional EEG Analysis
  127. Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective
  128. Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning
  129. Cross-border Commodity Pricing Strategy Optimization via Mixed Neural Network for Time Series Analysis
  130. Risk Analysis in Customer Relationship Management via Quantile Region Convolutional Neural Network-Long Short-Term Memory and Cross-Attention Mechanism
  131. Pareto Merging: Multi-Objective Optimization for Preference-Aware Model Merging
  132. Integrating Audio, Visual, and Semantic Information for Enhanced Multimodal Speaker Diarization
  133. A Unified Plug-and-Play Algorithm with Projected Landweber Operator for Split Convex Feasibility Problems
  134. Query-Efficient Video Adversarial Attack with Stylized Logo on Service Computing
  135. Extraction of Research Objectives, Machine Learning Model Names, and Dataset Names from Academic Papers and Analysis of Their Interrelationships Using LLM and Network Analysis
  136. uMedSum: A Unified Framework for Advancing Medical Abstractive Summarization
  137. LLM-enhanced Scene Graph Learning for Household Rearrangement
  138. Unsupervised discovery of the shared and private geometry in multi-view data
  139. Unlocking Attributes' Contribution to Successful Camouflage: A Combined Textual and VisualAnalysis Strategy
  140. Vision-Based Detection of Uncooperative Targets and Components on Small Satellites
  141. Exploring the Feasibility of Automated Data Standardization using Large Language Models for Seamless Positioning
  142. High-Quality Data Augmentation for Low-Resource NMT: Combining a Translation Memory, a GAN Generator, and Filtering
  143. Through-the-Wall Radar Human Activity Micro-Doppler Signature Representation Method Based on Joint Boulic-Sinusoidal Pendulum Model
  144. ConflictBank: A Benchmark for Evaluating the Influence of Knowledge Conflicts in LLM
  145. Multi-Task Curriculum Graph Contrastive Learning with Clustering Entropy Guidance
  146. Distributed Noncoherent Joint Transmission Based on Multi-Agent Reinforcement Learning for Dense Small Cell MISO Systems
  147. Transformers As Approximations of Solomonoff Induction
  148. Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction
  149. Enhancing Sampling Protocol for Point Cloud Classification Against Corruptions
  150. Evidence-backed Fact Checking using RAG and Few-Shot In-Context Learning with LLMs
  151. MAC protocol classification in the ISM band using machine learning methods
  152. Enhancing Automated Program Repair with Solution Design
  153. ISETHDR: A Physics-based Synthetic Radiance Dataset for High Dynamic Range Driving Scenes