mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 26 Jul 2024

218 papers

  1. Large Language Model Agent in Financial Trading: A SurveyLLM agents and tool use → Financial trading and forecasting agents
  2. Modality-Balanced Learning for Multimedia RecommendationKnowledge distillation → Multimodal distillation
  3. VACoDe: Visual Augmented Contrastive DecodingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  4. ChipExpert: The Open-Source Integrated-Circuit-Design-Specific Large Language ModelMechanistic interpretability → Circuits and mechanistic analysis
  5. Modular RAG: Transforming RAG Systems into LEGO-like Reconfigurable FrameworksRetrieval-augmented generation → RAG pipeline design and evaluation
  6. Blockchain for Large Language Model Security and Safety: A Holistic SurveyLLM safety and security → Prompt injection and agent security
  7. Accuracy-Privacy Trade-off in the Mitigation of Membership Inference Attack in Federated LearningLLM safety and security → Federated unlearning and poisoning
  8. VIMs: Virtual Immunohistochemistry Multiplex staining via Text-to-Stain Diffusion Trained on Uniplex StainsDiffusion models → Medical imaging and segmentation
  9. OfficeBench: Benchmarking Language Agents across Multiple Applications for Office AutomationLLM agents and tool use → General LLM agent frameworks and benchmarks
  10. ScalingGaussian: Enhancing 3D Content Creation with Generative Gaussian SplattingDiffusion models → 3D, point cloud and scene generation
  11. MangaUB: A Manga Understanding Benchmark for Large Multimodal ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  12. Reinforcement learning for anisotropic p-adaptation and error estimation in high-order solversDeep reinforcement learning methods → RL theory and sample complexity
  13. Graph-based Unsupervised Disentangled Representation Learning via Multimodal Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  14. Requirement-Based Testing: Enhancing Reinforcement Learning with Game TheoryDeep reinforcement learning methods → RL training of language and agent models
  15. SOAP-RL: Sequential Option Advantage Propagation for Reinforcement Learning in POMDP EnvironmentsDeep reinforcement learning methods → RL theory and sample complexity
  16. AppWorld: A Controllable World of Apps and People for Benchmarking Interactive Coding AgentsLLM agents and tool use → Software engineering coding agents
  17. A Sharper Global Convergence Analysis for Average Reward Reinforcement Learning via an Actor-Critic ApproachDeep reinforcement learning methods → RL theory and sample complexity
  18. Unifying Visual and Semantic Feature Spaces with Diffusion Models for Enhanced Cross-Modal AlignmentDiffusion models → Image generation, text-to-image and editing
  19. QT-TDM: Planning With Transformer Dynamics Model and Autoregressive Q-LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  20. The Cross-environment Hyperparameter Setting Benchmark for Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  21. Right Now, Wrong Then: Non-Stationary Direct Preference Optimization under Preference DriftLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  22. Adversarial Robustification via Text-to-Image Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  23. Every Part Matters: Integrity Verification of Scientific Figures Based on Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  24. Heavy-Tailed Diffusion with Denoising L'evy Probabilistic ModelsDiffusion models → Diffusion foundations and sampling
  25. Reinforcement Learning for Sustainable Energy: A SurveyDeep reinforcement learning methods → RL for energy, networks and operations
  26. Dynamic Language Group-Based MoE: Enhancing Code-Switching Speech Recognition with Hierarchical RoutingMixture-of-experts → Multimodal MoE models
  27. PP-TIL: Personalized Planning for Autonomous Driving with Instance-based Transfer Imitation LearningEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
  28. VSSD: Vision Mamba with Non-Causal State Space DualityState-space sequence models (S4, Mamba) → Vision Mamba backbones
  29. REAPER: Reasoning based Retrieval Planning for Complex RAG SystemsLLM reasoning → Knowledge- and tool-augmented reasoning +1
  30. A Reliable Common-Sense Reasoning Socialbot Built Using LLMs and Goal-Directed ASPLLM reasoning → Reasoning benchmarks and evaluation
  31. Answerability Fields: Answerable Location Estimation via Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  32. Diffusion-Driven Semantic Communication for Generative Models with Bandwidth ConstraintsDiffusion models → Diffusion for compression and wireless
  33. Machine Unlearning using a Multi-GAN based ModelLLM safety and security → Machine unlearning
  34. Towards A Generalizable Pathology Foundation Model via Unified Knowledge DistillationKnowledge distillation → Distillation for medical imaging
  35. An Adaptive CSI Feedback Model Based on BiLSTM for Massive MIMO-OFDM Systems
  36. How good nnU-Net for Segmenting Cardiac MRI: A Comprehensive Evaluation
  37. Algorithm Research of ELMo Word Embedding and Deep Learning Multimodal Transformer in Image Description
  38. Surveys Considered Harmful? Reflecting on the Use of Surveys in AI Research, Development, and Governance
  39. Hybrid Heuristic Algorithms for Adiabatic Quantum Machine Learning Models
  40. Improving noisy student training for low-resource languages in End-to-End ASR using CycleGAN and inter-domain losses
  41. Using Large Language Models for the Interpretation of Building Regulations
  42. Supervised Learning based Method for Condition Monitoring of Overhead Line Insulators using Leakage Current Measurement
  43. Variational Inference Using Material Point Method
  44. MLtoGAI: Semantic Web based with Machine Learning for Enhanced Disease Prediction and Personalized Recommendations using Generative AI
  45. Spatial Temporal Approach for High-Resolution Gridded Wind Forecasting across Southwest Western Australia
  46. NeuSemSlice: Towards Effective DNN Model Maintenance via Neuron-level Semantic Slicing
  47. On Supernet Transfer Learning for Effective Task Adaptation
  48. Greedy Output Approximation: Towards Efficient Structured Pruning for LLMs Without Retraining
  49. Binary Bleed: Fast Distributed and Parallel Method for Automatic Model Selection
  50. Large Language Models as Co-Pilots for Causal Inference in Medical Studies
  51. Towards Scalable and Stable Parallelization of Nonlinear RNNs
  52. To which reference class do you belong? Measuring racial fairness of reference classes with normative modeling
  53. GPT Deciphering Fedspeak: Quantifying Dissent Among Hawks and Doves
  54. ObjectCarver: Semi-automatic segmentation, reconstruction and separation of 3D objects
  55. FedAR: Addressing Client Unavailability in Federated Learning with Local Update Approximation and Rectification
  56. NARVis: Neural Accelerated Rendering for Real-Time Scientific Point Cloud Visualization
  57. Wonderful Team: Zero-Shot Physical Task Planning with Visual LLMs
  58. Boosted generalized normal distributions: Integrating machine learning with operations knowledge
  59. Many-Shot In-Context Learning for Molecular Inverse Design
  60. Super Resolution for Renewable Energy Resource Data With Wind From Reanalysis Data and Application to Ukraine
  61. Regularized Multi-Decoder Ensemble for an Error-Aware Scene Representation Network
  62. UniForensics: Face Forgery Detection via General Facial Representation
  63. Practical Marketplace Optimization at Uber Using Causally-Informed Machine Learning
  64. Flexible graph convolutional network for 3D human pose estimation
  65. Effective Large Language Model Debugging with Best-first Tree Search
  66. Flusion: Integrating multiple data sources for accurate influenza predictions
  67. Towards a Transformer-Based Pre-trained Model for IoT Traffic Classification
  68. Rapid Likelihood Free Inference of Compact Binary Coalescences using Accelerated Hardware
  69. Advancing Neural Network Performance through Emergence-Promoting Initialization Scheme
  70. Optimizing Numerical Estimation and Operational Efficiency in the Legal Domain through Large Language Models
  71. A Fault Prognostic System for the Turbine Guide Bearings of a Hydropower Plant Using Long-Short Term Memory (LSTM)
  72. GraphBPE: Molecular Graphs Meet Byte-Pair Encoding
  73. Artificial Neural Networks on Graded Vector Spaces
  74. Sparse Refinement for Efficient High-Resolution Semantic Segmentation
  75. Effective Prompt Pool Learning for Continual Category Discovery
  76. Towards a Cyber Information Ontology
  77. A maturity framework for data driven maintenance
  78. SWIFT: Semantic Watermarking for Image Forgery Thwarting
  79. Towards Automated Solution Recipe Generation for Industrial Asset Management with LLM
  80. Floating No More: Object-Ground Reconstruction from a Single Image
  81. HRP: Human Affordances for Robotic Pre-Training
  82. Do We Really Need Graph Convolution During Training? Light Post-Training Graph-ODE for Efficient Recommendation
  83. Hybrid summary statistics: neural weak lensing inference beyond the power spectrum
  84. Wolf: Dense Video Captioning with a World Summarization Framework
  85. SHIC: Shape-Image Correspondences with no Keypoint Supervision
  86. A Scalable Quantum Non-local Neural Network for Image Classification
  87. Lessons from Learning to Spin "Pens"
  88. Learn from the Learnt: Source-Free Active Domain Adaptation via Contrastive Sampling and Visual Persistence
  89. Small Molecule Optimization with Large Language Models
  90. FH-DRL: Exponential-Hyperbolic Frontier Heuristics with DRL for accelerated Exploration in Unknown Environments
  91. On the Pros and Cons of Active Learning for Moral Preference Elicitation
  92. Embedding And Clustering Your Data Can Improve Contrastive Pretraining
  93. Utilizing TTS Synthesized Data for Efficient Development of Keyword Spotting Model
  94. Generative Adversarial Networks for Imputing Sparse Learning Performance
  95. Engaging with Children's Artwork in Mixed Visual-Ability Families
  96. Downlink Channel Covariance Matrix Estimation via Representation Learning with Graph Regularization
  97. Repairing Networks of EL_perp Ontologies using Weakening and Completing -- Extended version
  98. Enhancing material property prediction with ensemble deep graph convolutional networks
  99. Scalable Group Choreography via Variational Phase Manifold Learning
  100. The Role of Temporal Hierarchy in Spiking Neural Networks
All 218
  1. Human-artificial intelligence teaming for scientific information extraction from data-driven additive manufacturing research using large language models
  2. Deep Companion Learning: Enhancing Generalization Through Historical Consistency
  3. Online Planning in POMDPs with State-Requests
  4. Interpreting artificial neural networks to detect genome-wide association signals for complex traits
  5. Learning Chaotic Systems and Long-Term Predictions with Neural Jump ODEs
  6. When narrower is better: the narrow width limit of Bayesian parallel branching neural networks
  7. Log-Concave Coupling for Sampling Neural Net Posteriors
  8. Benchmarking Dependence Measures to Prevent Shortcut Learning in Medical Imaging
  9. Granularity is crucial when applying differential privacy to text: An investigation for neural machine translation
  10. The power of Prompts: Evaluating and Mitigating Gender Bias in MT with LLMs
  11. Understanding XAI Through the Philosopher's Lens: A Historical Perspective
  12. Learning production functions for supply chains with graph neural networks
  13. Any four real numbers are on all fours with analogy
  14. TAGIFY: LLM-powered Tagging Interface for Improved Data Findability on OGD portals
  15. Unsupervised Reservoir Computing for Multivariate Denoising of Severely Contaminated Signals
  16. Evaluating Human Trajectory Prediction with Metamorphic Testing
  17. Score matching through the roof: linear, nonlinear, and latent variables causal discovery
  18. Knowledge Graph Structure as Prompt: Improving Small Language Models Capabilities for Knowledge-based Causal Discovery
  19. FLUE: Federated Learning with Un-Encrypted model weights
  20. Multi-Robot System Architecture design in SysML and BPMN
  21. FairAIED: Navigating Fairness, Bias, and Ethics in Educational AI Applications
  22. Towards Effective and Efficient Continual Pre-training of Large Language Models
  23. Towards Generalized Offensive Language Identification
  24. AutoRDF2GML: Facilitating RDF Integration in Graph Machine Learning
  25. A Physics-Informed Neural Network-Based Approach for the Spatial Upsampling of Spherical Microphone Arrays
  26. Creating an Aligned Corpus of Sound and Text: The Multimodal Corpus of Shakespeare and Milton
  27. LLASP: Fine-tuning Large Language Models for Answer Set Programming
  28. Neurosymbolic AI for Enhancing Instructability in Generative AI
  29. ChatSchema: A pipeline of extracting structured information with Large Multimodal Models based on schema
  30. BCTR: Bidirectional Conditioning Transformer for Scene Graph Generation
  31. Cluster-norm for Unsupervised Probing of Knowledge
  32. Finite Neural Networks as Mixtures of Gaussian Processes: From Provable Error Bounds to Prior Selection
  33. Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation
  34. PIV3CAMS: a multi-camera dataset for multiple computer vision problems and its application to novel view-point synthesis
  35. Deep learning for predicting the occurrence of tipping points
  36. Graph Neural Networks for Virtual Sensing in Complex Systems: Addressing Heterogeneous Temporal Dynamics
  37. Collaborative Evolving Strategy for Automatic Data-Centric Development
  38. The BIAS Detection Framework: Bias Detection in Word Embeddings and Language Models for European Languages
  39. Rapid Object Annotation
  40. A dual ensemble classifier used to recognise contaminated multi-channel EMG and MMG signals in the control of upper limb bioprosthesis
  41. A Survey on Cell Nuclei Instance Segmentation and Classification: Leveraging Context and Attention
  42. A Labeled Ophthalmic Ultrasound Dataset with Medical Report Generation Based on Cross-modal Deep Learning
  43. Local Binary Pattern(LBP) Optimization for Feature Extraction
  44. Auto DragGAN: Editing the Generative Image Manifold in an Autoregressive Manner
  45. Aspects of importance sampling in parameter selection for neural networks using ridgelet transform
  46. Achieving interpretable machine learning by functional decomposition of black-box models into explainable predictor effects
  47. Fast and Reliable Probabilistic Reflectometry Inversion with Prior-Amortized Neural Posterior Estimation
  48. Contrastive Learning of Asset Embeddings from Financial Time Series
  49. Vulnerability Detection in Ethereum Smart Contracts via Machine Learning: A Qualitative Analysis
  50. DynamicTrack: Advancing Gigapixel Tracking in Crowded Scenes
  51. Robust VAEs via Generating Process of Noise Augmented Data
  52. CardioLab: Laboratory Values Estimation from Electrocardiogram Features - An Exploratory Study
  53. Multi-Agent Deep Reinforcement Learning for Energy Efficient Multi-Hop STAR-RIS-Assisted Transmissions
  54. Topology Optimization of Random Memristors for Input-Aware Dynamic SNN
  55. Dual-Decoupling Learning and Metric-Adaptive Thresholding for Semi-Supervised Multi-Label Learning
  56. MOoSE: Multi-Orientation Sharing Experts for Open-set Scene Text Recognition
  57. LookupForensics: A Large-Scale Multi-Task Dataset for Multi-Phase Image-Based Fact Verification
  58. Dilated Strip Attention Network for Image Restoration
  59. IOVS4NeRF:Incremental Optimal View Selection for Large-Scale NeRFs
  60. Using GPT-4 to guide causal machine learning
  61. A data balancing approach towards design of an expert system for Heart Disease Prediction
  62. Reorganizing attention-space geometry with expressive attention
  63. LinguaLinker: Audio-Driven Portraits Animation with Implicit Facial Control Enhancement
  64. Content-driven Magnitude-Derivative Spectrum Complementary Learning for Hyperspectral Image Classification
  65. From 2D to 3D: AISG-SLA Visual Localization Challenge
  66. HICEScore: A Hierarchical Metric for Image Captioning Evaluation
  67. Learning to Enhance Aperture Phasor Field for Non-Line-of-Sight Imaging
  68. Speech Bandwidth Expansion Via High Fidelity Generative Adversarial Networks
  69. Learning Spectral-Decomposed Tokens for Domain Generalized Semantic Segmentation
  70. Unveiling Privacy Vulnerabilities: Investigating the Role of Structure in Graph Data
  71. Learning Robust Named Entity Recognizers From Noisy Data With Retrieval Augmentation
  72. Look Globally and Reason: Two-stage Path Reasoning over Sparse Knowledge Graphs
  73. How to Segment in 3D Using 2D Models: Automated 3D Segmentation of Prostate Cancer Metastatic Lesions on PET Volumes Using Multi-angle Maximum Intensity Projections and Diffusion Models
  74. Skin Cancer Detection utilizing Deep Learning: Classification of Skin Lesion Images using a Vision Transformer
  75. Multimodal Emotion Recognition using Audio-Video Transformer Fusion with Cross Attention
  76. Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network
  77. ReALFRED: An Embodied Instruction Following Benchmark in Photo-Realistic Environments
  78. Utilising Explainable Techniques for Quality Prediction in a Complex Textiles Manufacturing Use Case
  79. Towards Improving NAM-to-Speech Synthesis Intelligibility using Self-Supervised Speech Models
  80. A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text using Large Language Models
  81. Towards a Multidimensional Evaluation Framework for Empathetic Conversational Systems
  82. Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers
  83. Outer Approximation and Super-modular Cuts for Constrained Assortment Optimization under Mixed-Logit Model
  84. Constructing Enhanced Mutual Information for Online Class-Incremental Learning
  85. ClinicRealm: Re-evaluating Large Language Models with Conventional Machine Learning for Non-Generative Clinical Prediction Tasks
  86. She Works, He Works: A Curious Exploration of Gender Bias in AI-Generated Imagery
  87. DTFormer: A Transformer-Based Method for Discrete-Time Dynamic Graph Representation Learning
  88. Patched MOA: optimizing inference for diverse software development tasks
  89. Text-Region Matching for Multi-Label Image Recognition with Missing Labels
  90. TCGPN: Temporal-Correlation Graph Pre-trained Network for Stock Forecasting
  91. WorkR: Occupation Inference for Intelligent Task Assistance
  92. SLIM: Style-Linguistics Mismatch Model for Generalized Audio Deepfake Detection
  93. The formation of perceptual space in early phonetic acquisition: a cross-linguistic modeling approach
  94. Revisit Event Generation Model: Self-Supervised Learning of Event-to-Video Reconstruction with Implicit Neural Representations
  95. Non-Overlapping Placement of Macro Cells based on Reinforcement Learning in Chip Design
  96. Towards More Accurate Prediction of Human Empathy and Emotion in Text and Multi-turn Conversations by Combining Advanced NLP, Transformers-based Networks, and Linguistic Methodologies
  97. Neural Modulation Alteration to Positive and Negative Emotions in Depressed Patients: Insights from fMRI Using Positive/Negative Emotion Atlas
  98. Conversational Dueling Bandits in Generalized Linear Models
  99. SMPISD-MTPNet: Scene Semantic Prior-Assisted Infrared Ship Detection Using Multi-Task Perception Networks
  100. A Role-specific Guided Large Language Model for Ophthalmic Consultation Based on Stylistic Differentiation
  101. Practical Attribution Guidance for Rashomon Sets
  102. Scalable Graph Compressed Convolutions
  103. Multi-turn Response Selection with Commonsense-enhanced Language Models
  104. FedUD: Exploiting Unaligned Data for Cross-Platform Federated Click-Through Rate Prediction
  105. Constructing the CORD-19 Vaccine Dataset
  106. A Progressive Single-Modality to Multi-Modality Classification Framework for Alzheimer's Disease Sub-type Diagnosis
  107. MistralBSM: Leveraging Mistral-7B for Vehicular Networks Misbehavior Detection
  108. Enhancing Dysarthric Speech Recognition for Unseen Speakers via Prototype-Based Adaptation
  109. Diffusion-driven lensless fiber endomicroscopic quantitative phase imaging towards digital pathology
  110. Fairness Definitions in Language Models Explained
  111. Textile Anomaly Detection: Evaluation of the State-of-the-Art for Automated Quality Inspection of Carpet
  112. Capturing the security expert knowledge in feature selection for web application attack detection
  113. HybridDepth: Robust Metric Depth Fusion by Leveraging Depth from Focus and Single-Image Priors
  114. Guidance-Based Prompt Data Augmentation in Specialized Domains for Named Entity Recognition
  115. Impact of Recurrent Neural Networks and Deep Learning Frameworks on Real-time Lightweight Time Series Anomaly Detection
  116. Mixed Non-linear Quantization for Vision Transformers
  117. A Model for Combinatorial Dictionary Learning and Inference
  118. Investigating the Privacy Risk of Using Robot Vacuum Cleaners in Smart Environments