mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 7 Jun 2024

320 papers

  1. Text-Guided Alternative Image ClusteringMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  2. Diffusion Models in textitDe Novo Drug DesignDiffusion models → Flow matching, time series and science
  3. Adversarial Tuning: Defending Against Jailbreak Attacks for LLMsLLM safety and security → Jailbreaking
  4. GameBench: Evaluating Strategic Reasoning Abilities of LLM AgentsLLM reasoning → Reasoning for agents, planning and code +1
  5. Efficient Differentially Private Fine-Tuning of Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  6. CPLIP: Zero-Shot Learning for Histopathology with Comprehensive Vision-Language AlignmentMultimodal LLMs / vision-language models → Medical vision-language models
  7. LLMs Are Not Intelligent Thinkers: Introducing Mathematical Topic Tree Benchmark for Comprehensive Evaluation of LLMsLLM reasoning → Mathematical reasoning
  8. DiffusionPID: Interpreting Diffusion via Partial Information DecompositionDiffusion models → Image generation, text-to-image and editing
  9. An Empirical Study on Parameter-Efficient Fine-Tuning for MultiModal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  10. Towards Semantic Equivalence of Tokenization in Multimodal LLMMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  11. LlavaGuard: An Open VLM-based Framework for Safeguarding Vision Datasets and ModelsLLM safety and security → Safety alignment, refusal and guardrails
  12. Large Generative Graph ModelsDiffusion models → Flow matching, time series and science
  13. Corpus Poisoning via Approximate Greedy Gradient DescentRetrieval-augmented generation → Privacy and security of RAG
  14. Multi-Head RAG: Solving Multi-Aspect Problems with LLMsRetrieval-augmented generation → RAG pipeline design and evaluation
  15. CoNo: Consistency Noise Injection for Tuning-free Long Video DiffusionDiffusion models → Video generation
  16. Pretraining Decision Transformers with Reward Prediction for In-Context Multi-task Structured Bandit LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling
  17. VCSearch: Bridging the Gap Between Well-Defined and Ill-Defined Problems in Mathematical ReasoningLLM reasoning → Mathematical reasoning
  18. Online Frequency Scheduling by Learning Parallel ActionsDeep reinforcement learning methods → RL for energy, networks and operations
  19. Efficient 3D Shape Generation via Diffusion Mamba with Bidirectional SSMsState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
  20. Optimizing Automatic Differentiation with Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  21. MEFT: Memory-Efficient Fine-Tuning through Sparse AdapterMixture-of-experts → Mixture of LoRA experts
  22. Sim-to-Real Transfer of Deep Reinforcement Learning Agents for Online Coverage Path PlanningDeep reinforcement learning methods → RL for robot navigation and UAV control
  23. Combinatorial Complex Score-based Diffusion Modelling through Stochastic Differential EquationsDiffusion models → Flow matching, time series and science
  24. Online Adaptation for Enhancing Imitation Learning PoliciesOffline RL and imitation learning from data → Imitation learning methods
  25. Stabilizing Extreme Q-learning by Maclaurin ExpansionOffline RL and imitation learning from data → Offline RL algorithms +1
  26. A Deep Dive into the Trade-Offs of Parameter-Efficient Preference Alignment TechniquesLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  27. Uncertainty Aware Learning for Language Model AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  28. Variational Flow Matching for Graph GenerationDiffusion models → Flow matching, time series and science
  29. Primitive Agentic First-Order OptimizationLLM agents and tool use → Reinforcement learning for LLM agents
  30. Algorithms for learning value-aligned policies considering admissibility relaxationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  31. SLR: Learning Quadruped Locomotion without Privileged InformationDeep reinforcement learning methods → RL for robot locomotion and manipulation
  32. Skill-aware Mutual Information Optimisation for Generalisation in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  33. Lifelong Learning of Video Diffusion Models From a Single Video StreamDiffusion models → Video generation
  34. A Survey of Fragile Model WatermarkingLLM safety and security → Watermarking generated content and models
  35. Streaming Diffusion Policy: Fast Policy Synthesis with Variable Noise Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics +1
  36. MoE Jetpack: From Dense Checkpoints to Adaptive Mixture of Experts for Vision TasksMixture-of-experts → Vision mixture-of-experts
  37. Zero, Finite, and Infinite Belief History of Theory of Mind Reasoning in Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  38. SelfGoal: Your Language Agents Already Know How to Achieve High-level GoalsLLM agents and tool use → General LLM agent frameworks and benchmarks
  39. Diffusion-based Generative Image Outpainting for Recovery of FOV-Truncated CT ImagesDiffusion models → Medical imaging and segmentation
  40. Reinforcement Learning and Regret Bounds for Admission ControlDeep reinforcement learning methods → RL theory and sample complexity
  41. PQPP: A Joint Benchmark for Text-to-Image Prompt and Query Performance PredictionDiffusion models → Image generation, text-to-image and editing
  42. CRAG -- Comprehensive RAG BenchmarkRetrieval-augmented generation → RAG pipeline design and evaluation
  43. On Minimizing Adversarial Counterfactual Error in Adversarial RLDeep reinforcement learning methods → Adversarial robustness and RL in finance
  44. MGIMM: Multi-Granularity Instruction Multimodal Model for Attribute-Guided Remote Sensing Image Detailed DescriptionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  45. Mixture-of-Agents Enhances Large Language Model CapabilitiesLLM reasoning → Reasoning for agents, planning and code +1
  46. MeLFusion: Synthesizing Music from Image and Language Cues using Diffusion ModelsDiffusion models → Audio, speech and music
  47. MATTER: Memory-Augmented Transformer Using Heterogeneous Knowledge SourcesRetrieval-augmented generation → Generation and context integration
  48. Image and Video Quality Assessment using Prompt-Guided Latent Diffusion Models for Cross-Dataset GeneralizationDiffusion models → Video generation
  49. Boosting Diffusion Model for Spectrogram Up-sampling in Text-to-speech: An Empirical StudyDiffusion models → Audio, speech and music
  50. STAR: Skeleton-aware Text-based 4D Avatar Generation with In-Network Motion RetargetingDiffusion models → 3D, point cloud and scene generation
  51. CTSyn: A Foundation Model for Cross Tabular Data GenerationDiffusion models → Flow matching, time series and science
  52. What do MLLMs hear? Examining reasoning with text and sound components in Multimodal Large Language ModelsLLM reasoning → Audio-language model reasoning +1
  53. Extroversion or Introversion? Controlling The Personality of Your Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  54. Optimization of geological carbon storage operations with multimodal latent dynamic model and deep reinforcement learningDeep reinforcement learning methods → RL for energy, networks and operations
  55. StackSight: Unveiling WebAssembly through Large Language Models and Neurosymbolic Chain-of-Thought DecompilationLLM reasoning → Reasoning for agents, planning and code
  56. SpaRC and SpaRP: Spatial Reasoning Characterization and Path Generation for Understanding Spatial Reasoning Capability of Large Language ModelsLLM reasoning → Spatial and embodied reasoning
  57. Comprehensive AI Assessment Framework: Enhancing Educational Evaluation with Ethical AI Integration
  58. Contour-weighted loss for class-imbalanced image segmentation
  59. Jacobi Set Simplification for Tracking Topological Features in Time-Varying Scalar Fields
  60. Ensemble Method for System Failure Detection Using Large-Scale Telemetry Data
  61. Composition Vision-Language Understanding via Segment and Depth Anything Model
  62. Varying Manifolds in Diffusion: From Time-varying Geometries to Visual Saliency
  63. Unlocking Telemetry Potential: Self-Supervised Learning for Continuous Clinical Electrocardiogram Monitoring
  64. L-SFAN: Lightweight Spatially-focused Attention Network for Pain Behavior Detection
  65. Advancing Histopathology-Based Breast Cancer Diagnosis: Insights into Multi-Modality and Explainability
  66. Leveraging Pedagogical Theories to Understand Student Learning Process with Graph-based Reasonable Knowledge Tracing
  67. ChatPCG: Large Language Model-Driven Reward Design for Procedural Content Generation
  68. Semantic-Enhanced Relational Metric Learning for Recommender Systems
  69. On conceptualisation and an overview of learning path recommender systems in e-learning
  70. FlamePINN-1D: Physics-informed neural networks to solve forward and inverse problems of 1D laminar flames
  71. Data-Free Generative Replay for Class-Incremental Learning on Imbalanced Data
  72. Bayesian Structural Model Updating with Multimodal Variational Autoencoder
  73. Individual Packet Features are a Risk to Model Generalisation in ML-Based Intrusion Detection
  74. Structured Active Inference (Extended Abstract)
  75. Towards objective and interpretable speech disorder assessment: a comparative analysis of CNN and transformer-based models
  76. Exploring the Determinants of Pedestrian Crash Severity Using an AutoML Approach
  77. Spectrum: Targeted Training on Signal to Noise Ratio
  78. LinkQ: An LLM-Assisted Visual Interface for Knowledge Graph Question-Answering
  79. MedualTime: A Dual-Adapter Language Model for Medical Time Series-Text Multimodal Learning
  80. LoRA-Whisper: Parameter-Efficient and Extensible Multilingual ASR
  81. PANDORA: Deep graph learning based COVID-19 infection risk level forecasting
  82. Collaborative Team Recognition: A Core Plus Extension Structure
  83. Transforming Dental Diagnostics with Artificial Intelligence: Advanced Integration of ChatGPT and Large Language Models for Patient Care
  84. Language Guided Skill Discovery
  85. Information Geometry of Evolution of Neural Network Parameters While Training
  86. Extremization to Fine Tune Physics Informed Neural Networks for Solving Boundary Value Problems
  87. Optimal Eye Surgeon: Finding Image Priors through Sparse Generators at Initialization
  88. Group-wise oracle-efficient algorithms for online multi-group learning
  89. VISTA3D: A Unified Segmentation Foundation Model For 3D Medical Imaging
  90. SuperPos-Prompt: Enhancing Soft Prompt Tuning of Language Models with Superposition of Multi Token Embeddings
  91. VTrans: Accelerating Transformer Compression with Variational Information Bottleneck based Pruning
  92. Behavior Structformer: Learning Players Representations with Structured Tokenization
  93. USE: Universal Segment Embeddings for Open-Vocabulary Image Segmentation
  94. fastMRI Breast: A publicly available radial k-space dataset of breast dynamic contrast-enhanced MRI
  95. TLEX: An Efficient Method for Extracting Exact Timelines from TimeML Temporal Graphs
  96. Split-and-Fit: Learning B-Reps via Structure-Aware Voronoi Partitioning
  97. Generative modeling of density regression through tree flows
  98. A model of early word acquisition based on realistic-scale audiovisual naming events
  99. Generative Explore-Exploit: Training-free Optimization of Generative Recommender Systems using LLM Optimizers
  100. Automated Trustworthiness Testing for Machine Learning Classifiers
All 320
  1. LLM-Enhanced Bayesian Optimization for Efficient Analog Layout Constraint Generation
  2. A Language Model-Guided Framework for Mining Time Series with Distributional Shifts
  3. Markov chain Monte Carlo without evaluating the target: an auxiliary variable approach
  4. Federated LoRA with Sparse Communication
  5. DALD: Improving Logits-based Detector without Logits from Black-box LLMs
  6. The ULS23 Challenge: a Baseline Model and Benchmark Dataset for 3D Universal Lesion Segmentation in Computed Tomography
  7. Mixed-Curvature Decision Trees and Random Forests
  8. A Manifold Perspective on the Statistical Generalization of Graph Neural Networks
  9. CorDA: Context-Oriented Decomposition Adaptation of Large Language Models for Task-Aware Parameter-Efficient Fine-tuning
  10. Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation
  11. TabPFGen -- Tabular Data Generation with TabPFN
  12. On Subjective Uncertainty Quantification and Calibration in Natural Language Generation
  13. Retrieval & Fine-Tuning for In-Context Tabular Models
  14. Evaluating the Effectiveness of Data Augmentation for Emotion Classification in Low-Resource Settings
  15. Analyzing the factors that are involved in length of inpatient stay at the hospital for diabetes patients
  16. How to Strategize Human Content Creation in the Era of GenAI?
  17. Correlation Does Not Imply Compensation: Complexity and Irregularity in the Lexicon
  18. The Unmet Promise of Synthetic Training Images: Using Retrieved Real Images Performs Better
  19. The Factorization Curse: Which Tokens You Predict Underlie the Reversal Curse and More
  20. Robust quantum dots charge autotuning using neural network uncertainty
  21. Research on Tumors Segmentation based on Image Enhancement Method
  22. 3D-GRAND: A Million-Scale Dataset for 3D-LLMs with Better Grounding and Less Hallucination
  23. A Semi-Self-Supervised Approach for Dense-Pattern Video Object Segmentation
  24. PatchSVD: A Non-uniform SVD-based Image Compression Algorithm
  25. Energy Propagation in Scattering Convolution Networks Can Be Arbitrarily Slow
  26. Contextual fusion enhances robustness to image blurring
  27. Compositional Curvature Bounds for Deep Neural Networks
  28. The Expanding Scope of the Stability Gap: Unveiling its Presence in Joint Incremental Learning of Homogeneous Tasks
  29. Adapting Physics-Informed Neural Networks to Improve ODE Optimization in Mosquito Population Dynamics
  30. A Novel Time Series-to-Image Encoding Approach for Weather Phenomena Classification
  31. Provably Better Explanations with Optimized Aggregation of Feature Attributions
  32. Optimizing Time Series Forecasting Architectures: A Hierarchical Neural Architecture Search Approach
  33. Robust Reward Design for Markov Decision Processes
  34. On Ambiguity and the Expressive Function of Law: The Role of Pragmatics in Smart Legal Ecosystems
  35. I2EDL: Interactive Instruction Error Detection and Localization
  36. SUMIE: A Synthetic Benchmark for Incremental Entity Summarization
  37. Diving Deep into the Motion Representation of Video-Text Models
  38. Hibou: A Family of Foundational Vision Transformers for Pathology
  39. Linearization Turns Neural Operators into Function-Valued Gaussian Processes
  40. Massively Multiagent Minigames for Training Generalist Agents
  41. Classification Metrics for Image Explanations: Towards Building Reliable XAI-Evaluations
  42. Are Large Language Models More Empathetic than Humans?
  43. Progressive Entropic Optimal Transport Solvers
  44. GenHeld: Generating and Editing Handheld Objects
  45. Prototype Correlation Matching and Class-Relation Reasoning for Few-Shot Medical Image Segmentation
  46. Hints-In-Browser: Benchmarking Language Models for Programming Feedback Generation
  47. A Tensor Decomposition Perspective on Second-order RNNs
  48. Bootstrapping Referring Multi-Object Tracking
  49. TimeSieve: Extracting Temporal Dynamics through Information Bottlenecks
  50. Scenarios and Approaches for Situated Natural Language Explanations
  51. Gradient Descent on Logistic Regression with Non-Separable Data and Large Step Sizes
  52. GANetic Loss for Generative Adversarial Networks with a Focus on Medical Applications
  53. Scaling up Probabilistic PDE Simulators with Structured Volumetric Information
  54. Adaptively Learning to Select-Rank in Online Platforms
  55. Root Cause Analysis of Outliers with Missing Structural Knowledge
  56. CHIQ: Contextual History Enhancement for Improving Query Rewriting in Conversational Search
  57. Clarifying Myths About the Relationship Between Shape Bias, Accuracy, and Robustness
  58. Deep Jansen-Rit Parameter Inference for Model-Driven Analysis of Brain Activity
  59. AttnDreamBooth: Towards Text-Aligned Personalized Text-to-Image Generation
  60. ProMotion: Prototypes As Motion Learners
  61. ADBA:Approximation Decision Boundary Approach for Black-Box Adversarial Attacks
  62. On the social bias of speech self-supervised models
  63. Development and Validation of a Deep-Learning Model for Differential Treatment Benefit Prediction for Adults with Major Depressive Disorder Deployed in the Artificial Intelligence in Depression Medication Enhancement (AIDME) Study
  64. Compositional Generalization with Grounded Language Models
  65. Language models emulate certain cognitive profiles: An investigation of how predictability measures interact with individual differences
  66. CityCraft: A Real Crafter for 3D City Generation
  67. The Price of Implicit Bias in Adversarially Robust Generalization
  68. Semantic Segmentation on VSPW Dataset through Masked Video Consistency
  69. UniTST: Effectively Modeling Inter-Series and Intra-Series Dependencies for Multivariate Time Series Forecasting
  70. Neural Laplace for learning Stochastic Differential Equations
  71. Learning Divergence Fields for Shift-Robust Graph Representations
  72. Multiplane Prior Guided Few-Shot Aerial Scene Rendering
  73. Multi-style Neural Radiance Field with AdaIN
  74. Expansion of situations theory for exploring shared awareness in human-intelligent autonomous systems
  75. Experimental Evaluation of ROS-Causal in Real-World Human-Robot Spatial Interaction Scenarios
  76. Quantifying Geospatial in the Common Crawl Corpus
  77. Nacala-Roof-Material: Drone Imagery for Roof Detection, Classification, and Segmentation to Support Mosquito-borne Disease Risk Assessment
  78. BAMO at SemEval-2024 Task 9: BRAINTEASER: A Novel Task Defying Common Sense
  79. Multiple-input, multiple-output modal testing of a Hawk T1A aircraft: A new full-scale dataset for structural health monitoring
  80. Joint Spatial-Temporal Modeling and Contrastive Learning for Self-supervised Heart Rate Measurement
  81. TCMD: A Traditional Chinese Medicine QA Dataset for Evaluating Large Language Models
  82. CarbonSense: A Multimodal Dataset and Baseline for Carbon Flux Modelling
  83. SpanGNN: Towards Memory-Efficient Graph Neural Networks via Spanning Subgraph Training
  84. SLOPE: Search with Learned Optimal Pruning-based Expansion
  85. Optimal Recurrent Network Topologies for Dynamical Systems Reconstruction
  86. Leveraging Activations for Superpixel Explanations
  87. Faster Than Lies: Real-time Deepfake Detection using Binary Neural Networks
  88. MA-AVT: Modality Alignment for Parameter-Efficient Audio-Visual Transformers
  89. Protein pathways as a catalyst to directed evolution of the topology of artificial neural networks
  90. AGBD: A Global-scale Biomass Dataset
  91. LLM-based speaker diarization correction: A generalizable approach
  92. Through the Thicket: A Study of Number-Oriented LLMs derived from Random Forest Models
  93. Submodular Framework for Structured-Sparse Optimal Transport
  94. PolyLUT-Add: FPGA-based LUT Inference with Wide Inputs
  95. RU-AI: A Large Multimodal Dataset for Machine-Generated Content Detection
  96. XTTS: a Massively Multilingual Zero-Shot Text-to-Speech Model
  97. Concept Drift Detection using Ensemble of Integrally Private Models
  98. Sliding Window 3-Objective Pareto Optimization for Problems with Chance Constraints
  99. Labeled Data Selection for Category Discovery
  100. From Link Prediction to Forecasting: Addressing Challenges in Batch-based Temporal Graph Learning
  101. Sexism Detection on a Data Diet
  102. Enhancing Indoor Temperature Forecasting through Synthetic Data in Low-Data Environments
  103. Training-Free Video Editing via Optical Flow-Enhanced Score Distillation
  104. Unveiling the Invisible: Captioning Videos with Metaphors
  105. InstructNav: Zero-shot System for Generic Instruction Navigation in Unexplored Environment
  106. HateDebias: On the Diversity and Variability of Hate Speech Debiasing
  107. 3DRealCar: An In-the-wild RGB-D Car Dataset with 360-degree Views
  108. Ada-VE: Training-Free Consistent Video Editing Using Adaptive Motion Prior
  109. Diversified Batch Selection for Training Acceleration
  110. Perturb-and-Project: Differentially Private Similarities and Marginals
  111. Deep learning for precipitation nowcasting: A survey from the perspective of time series forecasting
  112. ComplexTempQA:A 100m Dataset for Complex Temporal Question Answering
  113. Normal-guided Detail-Preserving Neural Implicit Function for High-Fidelity 3D Surface Reconstruction
  114. Multi-View Stochastic Block Models
  115. Stochastic full waveform inversion with deep generative prior for uncertainty quantification
  116. A Near-Linear Time Approximation Algorithm for Beyond-Worst-Case Graph Clustering
  117. The Russian Legislative Corpus
  118. Time-Series JEPA for Predictive Remote Control under Capacity-Limited Networks
  119. Digital assistant in a point of sales
  120. CTBENCH: A Library and Benchmark for Certified Training
  121. Do Language Models Exhibit Human-like Structural Priming Effects?
  122. FedLLM-Bench: Realistic Benchmarks for Federated Learning of Large Language Models
  123. Multi-Granularity Language-Guided Training for Multi-Object Tracking
  124. 3rd Place Solution for MeViS Track in CVPR 2024 PVUW workshop: Motion Expression guided Video Segmentation
  125. Revisiting Catastrophic Forgetting in Large Language Model Tuning
  126. Annotating FrameNet via Structure-Conditioned Language Generation
  127. IOR: Inversed Objects Replay for Incremental Object Detection
  128. Auditing Differential Privacy Guarantees Using Density Estimation
  129. Graph Mining under Data scarcity
  130. FunBO: Discovering Acquisition Functions for Bayesian Optimization with FunSearch
  131. BERTs are Generative In-Context Learners
  132. M2NO: An Efficient Multi-Resolution Operator Framework for Dynamic Multi-Scale PDE Solvers
  133. Navigating Efficiency in MobileViT through Gaussian Process on Global Architecture Factors
  134. A short review on graphonometric evaluation tools in children
  135. Generating Piano Practice Policy with a Gaussian Process
  136. VERA: Generating Visual Explanations of Two-Dimensional Embeddings via Region Annotation
  137. GENIE: Watermarking Graph Neural Networks for Link Prediction
  138. Predictive Dynamic Fusion
  139. Robust Inference of Dynamic Covariance Using Wishart Processes and Sequential Monte Carlo
  140. Learning-Augmented Priority Queues
  141. Software Engineering for Collective Cyber-Physical Ecosystems
  142. Mobile Network Configuration Recommendation using Deep Generative Graph Neural Network
  143. Modeling Temporal Dependencies within the Target for Long-Term Time Series Forecasting
  144. OFDM-Standard Compatible SC-NOFS Waveforms for Low-Latency and Jitter-Tolerance Industrial IoT Communications
  145. REP: Resource-Efficient Prompting for Rehearsal-Free Continual Learning
  146. WildBench: Benchmarking LLMs with Challenging Tasks from Real Users in the Wild
  147. SMC++: Masked Learning of Unsupervised Video Semantic Compression
  148. Probabilistic Weather Forecasting with Hierarchical Graph Neural Networks
  149. Think out Loud: Emotion Deducing Explanation in Dialogues
  150. Interpretable Multimodal Out-of-context Detection with Soft Logic Regularization
  151. LLM Whisperer: An Inconspicuous Attack to Bias LLM Responses
  152. CRiskEval: A Chinese Multi-Level Risk Evaluation Benchmark Dataset for Large Language Models
  153. Confidence-aware Contrastive Learning for Selective Classification
  154. When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain
  155. A survey and benchmark of high-dimensional Bayesian optimization of discrete sequences
  156. Fast-Fading Channel and Power Optimization of the Magnetic Inductive Cellular Network
  157. Generative AI Models: Opportunities and Risks for Industry and Authorities
  158. Efficient Continual Finite-Sum Minimization
  159. MMPolymer: A Multimodal Multitask Pretraining Framework for Polymer Property Prediction
  160. FlowMM: Generating Materials with Riemannian Flow Matching
  161. AICoderEval: Improving AI Domain Code Generation of Large Language Models
  162. Morescient GAI for Software Engineering (Extended Version)
  163. ConDiff: A Challenging Dataset for Neural Solvers of Partial Differential Equations
  164. Winner-takes-all learners are geometry-aware conditional density estimators
  165. Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems
  166. Logic Synthesis with Generative Deep Neural Networks
  167. LLM-Vectorizer: LLM-based Verified Loop Vectorizer
  168. Higher-order Structure Based Anomaly Detection on Attributed Networks
  169. Conti-Fuse: A Novel Continuous Decomposition-based Fusion Framework for Infrared and Visible Images
  170. LogiCode: an LLM-Driven Framework for Logical Anomaly Detection
  171. MTS-Net: Dual-Enhanced Positional Multi-Head Self-Attention for 3D CT Diagnosis of May-Thurner Syndrome
  172. XctDiff: Reconstruction of CT Images with Consistent Anatomical Structures from a Single Radiographic Projection Image
  173. ACE Metric: Advection and Convection Evaluation for Accurate Weather Forecasting
  174. OVMR: Open-Vocabulary Recognition with Multi-Modal References
  175. The Reasonable Person Standard for AI
  176. DiNeR: a Large Realistic Dataset for Evaluating Compositional Generalization
  177. Evaluating and Mitigating IP Infringement in Visual Generative AI
  178. LocLLM: Exploiting Generalizable Human Keypoint Localization via Large Language Model
  179. Advanced Payment Security System:XGBoost, LightGBM and SMOTE Integrated
  180. From Spikes to Heavy Tails: Unveiling the Spectral Evolution of Neural Networks
  181. Variational Markov chain mixtures with automatic component selection
  182. SMART: Scene-motion-aware human action recognition framework for mental disorder group
  183. UCDNet: Multi-UAV Collaborative 3D Object Detection Network by Reliable Feature Mapping
  184. UVCPNet: A UAV-Vehicle Collaborative Perception Network for 3D Object Detection
  185. More Victories, Less Cooperation: Assessing Cicero's Diplomacy Play
  186. LinkGPT: Teaching Large Language Models To Predict Missing Links
  187. Cooperative Meta-Learning with Gradient Augmentation
  188. Large Language Model-guided Document Selection
  189. Scaling Automatic Extraction of Pseudocode
  190. Low-Resource Cross-Lingual Summarization through Few-Shot Learning with Large Language Models
  191. Denoising-Aware Contrastive Learning for Noisy Time Series
  192. Adaptive Interface-PINNs (AdaI-PINNs): An Efficient Physics-informed Neural Networks Framework for Interface Problems
  193. Key-Element-Informed sLLM Tuning for Document Summarization
  194. Image Processing Based Forest Fire Detection
  195. LawGPT: A Chinese Legal Knowledge-Enhanced Large Language Model
  196. Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint
  197. Contrastive Explainable Clustering with Differential Privacy
  198. Diverse Intra- and Inter-Domain Activity Style Fusion for Cross-Person Generalization in Activity Recognition
  199. A Recover-then-Discriminate Framework for Robust Anomaly Detection
  200. MeGA: Merging Multiple Independently Trained Neural Networks Based on Genetic Algorithm
  201. Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions
  202. Learning Task Decomposition to Assist Humans in Competitive Programming
  203. Simplify Implant Depth Prediction as Video Grounding: A Texture Perceive Implant Depth Prediction Network
  204. Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
  205. 1st Place Solution for MOSE Track in CVPR 2024 PVUW Workshop: Complex Video Object Segmentation
  206. OCDB: Revisiting Causal Discovery with a Comprehensive Benchmark and Evaluation Framework
  207. Federated Representation Learning in the Under-Parameterized Regime
  208. Pitch-Aware RNN-T for Mandarin Chinese Mispronunciation Detection and Diagnosis
  209. Enhancing Large-Scale AI Training Efficiency: The C4 Solution for Real-Time Anomaly Detection and Communication Optimization
  210. Provable Complexity Improvement of AdaGrad over SGD: Upper and Lower Bounds in Stochastic Non-Convex Optimization
  211. MUSE: Flexible Voiceprint Receptive Fields and Multi-Path Fusion Enhanced Taylor Transformer for U-Net-based Speech Enhancement
  212. Convergence of the majorized PAM method with subspace correction for low-rank composite factorization model
  213. CLoG: Benchmarking Continual Learning of Image Generation Models
  214. SC2: Towards Enhancing Content Preservation and Style Consistency in Long Text Style Transfer
  215. Attention Fusion Reverse Distillation for Multi-Lighting Image Anomaly Detection
  216. Camera-Pose Robust Crater Detection from Chang'e 5
  217. Error Bounds of Supervised Classification from Information-Theoretic Perspective
  218. A Unified View of Group Fairness Tradeoffs Using Partial Information Decomposition
  219. On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization
  220. Creating an AI Observer: Generative Semantic Workspaces