mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 9 May 2024

209 papers

  1. DDPM-MoCo: Advancing Industrial Surface Defect Generation and Detection with Generative and Contrastive LearningDiffusion models → Flow matching, time series and science
  2. Artificial Intelligence as the New Hacker: Developing Agents for Offensive SecurityLLM agents and tool use → Agent threats, guardrails and governance
  3. Enhancing Creativity in Large Language Models through Associative Thinking StrategiesLLM reasoning → Reasoning benchmarks and evaluation
  4. Hypothesis Testing Prompting Improves Deductive Reasoning in Large Language ModelsLLM reasoning → Prompting and chain-of-thought reasoning
  5. Exploring the Capabilities of Large Multimodal Models on Dense TextMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  6. LLMs can Find Mathematical Reasoning Mistakes by Pedagogical Chain-of-ThoughtLLM reasoning → Mathematical reasoning
  7. A Mixture of Experts Approach to 3D Human Motion PredictionMixture-of-experts → MoE in reinforcement learning and robotics
  8. Hard Work Does Not Always Pay Off: Poisoning Attacks on Neural Architecture SearchLLM safety and security → Backdoor and data poisoning attacks
  9. A Mixture-of-Experts Approach to Few-Shot Task Transfer in Open-Ended Text WorldsMixture-of-experts → MoE in reinforcement learning and robotics
  10. Bi-VLA: Vision-Language-Action Model-Based System for Bimanual Robotic Dexterous ManipulationsVision-language-action models → Human-video and latent-action pretraining
  11. EWMoE: An effective model for global weather forecasting with mixture-of-expertsMixture-of-experts → MoE for time series and graphs
  12. LLMC: Benchmarking Large Language Model Quantization with a Versatile Compression ToolkitLLM reasoning → Test-time compute and efficient thinking
  13. Distilling Diffusion Models into Conditional GANsDiffusion models → Diffusion foundations and sampling
  14. Probing Multimodal LLMs as World Models for DrivingWorld models → World models for autonomous driving +2
  15. Smurfs: Multi-Agent System using Context-Efficient DFSDT for Tool PlanningLLM reasoning → Reasoning for agents, planning and code +1
  16. CuMo: Scaling Multimodal LLM with Co-Upcycled Mixture-of-ExpertsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
  17. Lumina-T2X: Transforming Text into Any Modality, Resolution, and Duration via Flow-based Large Diffusion TransformersDiffusion models → Diffusion foundations and sampling
  18. Safe Exploration Using Bayesian World Models and Log-Barrier OptimizationWorld models → Latent dynamics models and model-based RL +1
  19. VLM-Auto: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road ScenesEnd-to-end autonomous driving → VLMs for autonomous driving
  20. Composable Part-Based ManipulationDiffusion models → Diffusion and flow policies for robotics
  21. Pre-trained Text-to-Image Diffusion Models Are Versatile Representation Learners for ControlDiffusion models → Diffusion and flow policies for robotics
  22. An Inversion-based Measure of Memorization for Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  23. MSDiff: Multi-Scale Diffusion Model for Ultra-Sparse View CT ReconstructionDiffusion models → Medical imaging and segmentation
  24. MasterWeaver: Taming Editability and Face Identity for Personalized Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
  25. Boosting Multimodal Large Language Models with Visual Tokens Withdrawal for Rapid InferenceMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  26. DP-MDM: Detail-Preserving MR Reconstruction via Multiple Diffusion ModelsDiffusion models → Medical imaging and segmentation
  27. LatentColorization: Latent Diffusion-Based Speaker Video ColorizationDiffusion models → Image generation, text-to-image and editing
  28. StableMoFusion: Towards Robust and Efficient Diffusion-based Motion Generation FrameworkDiffusion models → Video generation
  29. VM-DDPM: Vision Mamba Diffusion for Medical Image SynthesisDiffusion models → Medical imaging and segmentation +1
  30. SubGDiff: A Subgraph Diffusion Model to Improve Molecular Representation LearningDiffusion models → Flow matching, time series and science
  31. Policy Gradient with Active Importance SamplingDeep reinforcement learning methods → RL theory and sample complexity
  32. G-SAP: Graph-based Structure-Aware Prompt Learning over Heterogeneous Knowledge for Commonsense ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  33. A Survey on Personalized Content Synthesis with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  34. Universal Adversarial Perturbations for Vision-Language Pre-trained ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  35. A Scene-aware Models Adaptation Scheme for Cross-scene Online Inference on Mobile Devices
  36. Efficient Visibility Approximation for Game AI using Neural Omnidirectional Distance Fields
  37. LMVD: A Large-Scale Multimodal Vlog Dataset for Depression Detection in the Wild
  38. Machine Learning-Based Channel Prediction for RIS-assisted MIMO Systems With Channel Aging
  39. An Overview of Machine Learning-Enabled Optimization for Reconfigurable Intelligent Surfaces-Aided 6G Networks: From Reinforcement Learning to Large Language Models
  40. Multi-task learning for molecular electronic structure approaching coupled-cluster accuracy
  41. Real-Time Forecasting of Pathological Gait via IMU Navigation: A Few-Shot and Generative Learning Framework for Wearable Devices
  42. Iris: An AI-Driven Virtual Tutor For Computer Science Education
  43. People cannot distinguish GPT-4 from a human in a Turing test
  44. Towards a Path Dependent Account of Category Fluency
  45. Unveiling the Competitive Dynamics: A Comparative Evaluation of American and Chinese LLMs
  46. Digital Diagnostics: The Potential Of Large Language Models In Recognizing Symptoms Of Common Illnesses
  47. Mobile Sequencers
  48. Evaluating the Efficacy of AI Techniques in Textual Anonymization: A Comparative Study
  49. LangCell: Language-Cell Pre-training for Cell Identity Understanding
  50. Enhanced Review Detection and Recognition: A Platform-Agnostic Approach with Application to Online Commerce
  51. Reddit-Impacts: A Named Entity Recognition Dataset for Analyzing Clinical and Social Effects of Substance Use Derived from Social Media
  52. Perceptual Crack Detection for Rendered 3D Textured Meshes
  53. Muting Whisper: A Universal Acoustic Adversarial Attack on Speech Foundation Models
  54. Narrative to Trajectory (N2T+): Extracting Routes of Life or Death from Human Trafficking Text Corpora
  55. Enhanced Multimodal Content Moderation of Children's Videos using Audiovisual Fusion
  56. Gradient Flow Based Phase-Field Modeling Using Separable Neural Networks
  57. Rethinking Efficient and Effective Point-based Networks for Event Camera Classification and Regression: EventMamba
  58. Scalable Exact Verification of Optimization Proxies for Large-Scale Optimal Power Flow
  59. Transforming the Bootstrap: Using Transformers to Compute Scattering Amplitudes in Planar N = 4 Super Yang-Mills Theory
  60. Can Perplexity Reflect Large Language Model's Ability in Long Text Understanding?
  61. Selective Fine-tuning on LLM-labeled Data May Reduce Reliance on Human Annotation: A Case Study Using Schedule-of-Event Table Detection
  62. Learning Low-dimensional Latent Dynamics from High-dimensional Observations: Non-asymptotics and Lower Bounds
  63. When combinations of humans and AI are useful: A systematic review and meta-analysis
  64. Scalable Learning of Segment-Level Traffic Congestion Functions
  65. Deep Learning-Based Residual Useful Lifetime Prediction for Assets with Uncertain Failure Modes
  66. HMT: Hierarchical Memory Transformer for Efficient Long Context Language Processing
  67. Driving down Poisson error can offset classification error in clinical tasks
  68. LLMs for XAI: Future Directions for Explaining Explanations
  69. A Minimalist Prompt for Zero-Shot Policy Learning
  70. Large Language Models Show Human-like Social Desirability Biases in Survey Responses
  71. UnSegGNet: Unsupervised Image Segmentation using Graph Neural Networks
  72. BB-Patch: BlackBox Adversarial Patch-Attack using Zeroth-Order Optimization
  73. From Algorithm to Hardware: A Survey on Efficient and Safe Deployment of Deep Neural Networks
  74. Bayesian Prediction-Powered Inference
  75. Wilsonian Renormalization of Neural Network Gaussian Processes
  76. Binary Hypothesis Testing for Softmax Models and Leverage Score Models
  77. LLMPot: Dynamically Configured LLM-based Honeypot for Industrial Protocol and Physical Process Emulation
  78. Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity
  79. Precision Rehabilitation for Patients Post-Stroke based on Electronic Health Records and Machine Learning
  80. Agent-oriented Joint Decision Support for Data Owners in Auction-based Federated Learning
  81. Special Characters Attack: Toward Scalable Training Data Extraction From Large Language Models
  82. Clustering-based Multitasking Deep Neural Network for Solar Photovoltaics Power Generation Prediction
  83. A Universal Growth Rate for Learning with Smooth Surrogate Losses
  84. Natural Language Processing RELIES on Linguistics
  85. Age Aware Scheduling for Differentially-Private Federated Learning
  86. Self-Supervised Learning of Time Series Representation via Diffusion Process and Imputation-Interpolation-Forecasting Mask
  87. OpenBA-V2: Reaching 77.3% High Compression Ratio with Fast Multi-Stage Pruning
  88. Frame Interpolation with Consecutive Brownian Bridge Diffusion
  89. Federated Combinatorial Multi-Agent Multi-Armed Bandits
  90. MRISegmentator-Abdomen: A Fully Automated Multi-Organ and Structure Segmentation Tool for T1-weighted Abdominal MRI
  91. Evaluating Real-World Robot Manipulation Policies in Simulation
  92. DOLOMITES: Domain-Specific Long-Form Methodical Tasks
  93. Theoretical Guarantees of Data Augmented Last Layer Retraining Methods
  94. Trustworthy AI-Generative Content for Intelligent Network Service: Robustness, Security, and Fairness
  95. FuXi-ENS: A machine learning model for medium-range ensemble weather forecasting
  96. Multimodal Super-Resolution: Discovering hidden physics and its application to fusion plasmas
  97. Deep Multi-Task Learning for Malware Image Classification
  98. Truthful Aggregation of LLMs with an Application to Online Advertising
  99. Does Fine-Tuning LLMs on New Knowledge Encourage Hallucinations?
  100. A Comprehensive Survey of Masked Faces: Recognition, Detection, and Unmasking
All 209
  1. Efficient LLM Comparative Assessment: a Product of Experts Framework for Pairwise Comparisons
  2. Exploiting Autoencoder's Weakness to Generate Pseudo Anomalies
  3. Selecting the Most Conflicting Pair of Candidates
  4. Faster Linear Systems and Matrix Norm Approximation via Multi-level Sketched Preconditioning
  5. ExACT: An End-to-End Autonomous Excavator System Using Action Chunking With Transformers
  6. The Perspectivist Paradigm Shift: Assumptions and Challenges of Capturing Human Labels
  7. Free-Moving Object Reconstruction and Pose Estimation with Virtual Camera
  8. Compressed Bayesian Federated Learning for Reliable Passive Radio Sensing in Industrial IoT
  9. Robust and Explainable Fine-Grained Visual Classification with Transfer Learning: A Dual-Carriageway Framework
  10. Learned feature representations are biased by complexity, learning order, position, and more
  11. Self-Supervised Pre-training with Symmetric Superimposition Modeling for Scene Text Recognition
  12. Informed Decision-Making through Advancements in Open Set Recognition and Unknown Sample Detection
  13. Mask-TS Net: Mask Temperature Scaling Uncertainty Calibration for Polyp Segmentation
  14. MAD-ICP: It Is All About Matching Data -- Robust and Informed LiDAR Odometry
  15. Fine-grained Analysis and Faster Algorithms for Iteratively Solving Linear Systems
  16. Parallel Cross Strip Attention Network for Single Image Dehazing
  17. Aequitas Flow: Streamlining Fair ML Experimentation
  18. Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes
  19. Deploying Graph Neural Networks in Wireless Networks: A Link Stability Viewpoint
  20. DragGaussian: Enabling Drag-style Manipulation on 3D Gaussian Representation
  21. Enhancing Suicide Risk Detection on Social Media through Semi-Supervised Deep Label Smoothing
  22. RoboHop: Segment-based Topological Map Representation for Open-World Visual Navigation
  23. Sequential Amodal Segmentation via Cumulative Occlusion Learning
  24. A Robust eLORETA Technique for Localization of Brain Sources in the Presence of Forward Model Uncertainties
  25. Autonomous Robotic Ultrasound System for Liver Follow-up Diagnosis: Pilot Phantom Study
  26. FusionTransNet for Smart Urban Mobility: Spatiotemporal Traffic Forecasting Through Multimodal Network Integration
  27. Link Stealing Attacks Against Inductive Graph Neural Networks
  28. Neural Network Learning of Black-Scholes Equation for Option Pricing
  29. Towards a More Inclusive AI: Progress and Perspectives in Large Language Model Training for the S'ami Language
  30. Experimental Pragmatics with Machines: Testing LLM Predictions for the Inferences of Plain and Embedded Disjunctions
  31. Exploring Text-Guided Single Image Editing for Remote Sensing Images
  32. FastScene: Text-Driven Fast 3D Indoor Scene Generation via Panoramic Gaussian Splatting
  33. Towards a Novel Measure of User Trust in XAI Systems
  34. Similarity Guided Multimodal Fusion Transformer for Semantic Location Prediction in Social Media
  35. Exploring the Human-LLM Synergy in Advancing Theory-driven Qualitative Analysis
  36. CSA-Net: Channel-wise Spatially Autocorrelated Attention Networks
  37. Mirage: A Multi-Level Superoptimizer for Tensor Programs
  38. NeRFFaceSpeech: One-shot Audio-driven 3D Talking Head Synthesis via Generative Prior
  39. Learning to Slice Wi-Fi Networks: A State-Augmented Primal-Dual Approach
  40. Efficient Pretraining Model based on Multi-Scale Local Visual Field Feature Reconstruction for PCB CT Image Element Segmentation
  41. How Quality Affects Deep Neural Networks in Fine-Grained Image Classification
  42. Can large language models understand uncommon meanings of common words?
  43. Optimal Baseline Corrections for Off-Policy Contextual Bandits
  44. Batched Stochastic Bandit for Nondegenerate Functions
  45. Computational lexical analysis of Flamenco genres
  46. TraceGrad: a Framework Learning Expressive SO(3)-equivariant Non-linear Representations for Electronic-Structure Hamiltonian Prediction
  47. Detecting Statements in Text: A Domain-Agnostic Few-Shot Solution
  48. Aux-NAS: Exploiting Auxiliary Labels with Negligibly Extra Inference Cost
  49. Evaluating Dialect Robustness of Language Models via Conversation Understanding
  50. Non-asymptotic estimates for accelerated high order Langevin Monte Carlo algorithms
  51. Beyond Prompts: Learning from Human Communication for Enhanced AI Intent Alignment
  52. TransAnaNet: Transformer-based Anatomy Change Prediction Network for Head and Neck Cancer Patient Radiotherapy
  53. Imprecise Multi-Armed Bandits
  54. Multi-Stream Keypoint Attention Network for Sign Language Recognition and Translation
  55. RPBG: Towards Robust Neural Point-based Graphics in the Wild
  56. Approximate Dec-POMDP Solving Using Multi-Agent A*
  57. Artificial intelligence for abnormality detection in high volume neuroimaging: a systematic review and meta-analysis
  58. ASGrasp: Generalizable Transparent Object Reconstruction and 6-DoF Grasp Detection from RGB-D Active Stereo Camera
  59. Letter to the Editor: What are the legal and ethical considerations of submitting radiology reports to ChatGPT?
  60. Outlier-robust Kalman Filtering through Generalised Bayes
  61. A Correlation-induced Finite Difference Estimator
  62. SwapTalk: Audio-Driven Talking Face Generation with One-Shot Customization in Latent Space
  63. Rectified Gaussian kernel multi-view k-means clustering
  64. An Automatic Prompt Generation System for Tabular Data Tasks
  65. Memory-Space Visual Prompting for Efficient Vision-Language Fine-Tuning
  66. Depth Awakens: A Depth-perceptual Attention Fusion Network for RGB-D Camouflaged Object Detection
  67. Robust Pseudo-label Learning with Neighbor Relation for Unsupervised Visible-Infrared Person Re-Identification
  68. Privacy-Preserving Edge Federated Learning for Intelligent Mobile-Health Systems
  69. Chain of Attack: a Semantic-Driven Contextual Multi-Turn attacker for LLM
  70. Optimizing E-commerce Search: Toward a Generalizable and Rank-Consistent Pre-Ranking Model
  71. Minimal Perspective Autocalibration
  72. Can We Use Large Language Models to Fill Relevance Judgment Holes?
  73. Measuring Strategization in Recommendation: Users Adapt Their Behavior to Shape Future Content
  74. Expected Work Search: Combining Win Rate and Proof Size Estimation
  75. TroLLoc: Logic Locking and Layout Hardening for IC Security Closure against Hardware Trojans
  76. Model Inversion Robustness: Can Transfer Learning Help?
  77. Navigate Beyond Shortcuts: Debiased Learning through the Lens of Neural Collapse
  78. A Survey on Backbones for Deep Video Action Recognition
  79. OpenFactCheck: Building, Benchmarking Customized Fact-Checking Systems and Evaluating the Factuality of Claims and LLMs
  80. One vs. Many: Comprehending Accurate Information from Multiple Erroneous and Inconsistent AI Generations
  81. Vision-Language Modeling with Regularized Spatial Transformer Networks for All Weather Crosswind Landing of Aircraft
  82. Poisoning-based Backdoor Attacks for Arbitrary Target Label with Positive Triggers
  83. From Human Judgements to Predictive Models: Unravelling Acceptability in Code-Mixed Sentences
  84. Joint Edge Optimization Deep Unfolding Network for Accelerated MRI Reconstruction
  85. Towards Robust Physical-world Backdoor Attacks on Lane Detection
  86. Bidirectional Progressive Transformer for Interaction Intention Anticipation
  87. The object detection model uses combined extraction with KNN and RF classification
  88. Deep Hierarchical Graph Alignment Kernels
  89. NurtureNet: A Multi-task Video-based Approach for Newborn Anthropometry
  90. Ditto: Quantization-aware Secure Inference of Transformers upon MPC
  91. Prompt When the Animal is: Temporal Animal Behavior Grounding with Positional Recovery Training
  92. Machine Learning for Scalable and Optimal Load Shedding Under Power System Contingency
  93. Continuous max-flow augmentation of self-supervised few-shot learning on SPECT left ventricles
  94. DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map Construction
  95. Automatic question generation for propositional logical equivalences
  96. Characteristic Learning for Provable One Step Generation
  97. Redefining Information Retrieval of Structured Database via Large Language Models
  98. Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias
  99. Towards Accurate and Robust Architectures via Neural Architecture Search
  100. Multi-Scale Dilated Convolution Network for Long-Term Time Series Forecasting
  101. Multi-Level Feature Fusion Network for Lightweight Stereo Image Super-Resolution
  102. Boosting Large Language Models with Continual Learning for Aspect-based Sentiment Analysis
  103. Parameter-Efficient Fine-Tuning With Adapters
  104. A logifold structure on measure space
  105. Advancing Head and Neck Cancer Survival Prediction via Multi-Label Learning and Deep Model Interpretation
  106. Variance Control for Black Box Variational Inference Using The James-Stein Estimator
  107. FloorSet -- a VLSI Floorplanning Dataset with Design Constraints of Real-World SoCs
  108. Using Machine Translation to Augment Multilingual Classification
  109. DynaSeg: A Deep Dynamic Fusion Method for Unsupervised Image Segmentation Incorporating Feature Similarity and Spatial Continuity