mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 22 Jun 2024

120 papers

  1. Adaptive Digital Twin and Communication-Efficient Federated Learning Network Slicing for 5G-enabled Internet of ThingsDeep reinforcement learning methods → RL for energy, networks and operations
  2. LOGIC-LM++: Multi-Step Refinement for Symbolic FormulationsLLM reasoning → Reasoning benchmarks and evaluation
  3. MOSSBench: Is Your Multimodal Language Model Oversensitive to Safe Queries?Multimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  4. Modular Pluralism: Pluralistic Alignment via Multi-LLM CollaborationLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  5. Multistep Criticality Search and Power Shaping in Microreactors with Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  6. SEDMamba: Enhancing Selective State Space Modelling with Bottleneck Mechanism and Fine-to-Coarse Temporal Fusion for Efficient Error Detection in Robot-Assisted SurgeryState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  7. Soft Masked Mamba Diffusion Model for CT to MRI ConversionDiffusion models → Medical imaging and segmentation +1
  8. OpticGAI: Generative AI-aided Deep Reinforcement Learning for Optical Networks OptimizationDeep reinforcement learning methods → RL for energy, networks and operations
  9. Language Alignment via Nash-learning and Adaptive feedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  10. SimSMoE: Solving Representational Collapse via Similarity MeasureMixture-of-experts → MoE large language models
  11. EmoAttack: Emotion-to-Image Diffusion Models for Emotional Backdoor GenerationDiffusion models → Robustness, privacy and adversarial aspects +1
  12. LLM-Powered Explanations: Unraveling Recommendations Through Subgraph ReasoningLLM reasoning → LLM reasoning for recommendation
  13. Learning Abstract World Model for Value-preserving Planning with OptionsWorld models → Latent predictive world models
  14. Decentralized Transformers with Centralized Aggregation are Sample-Efficient Multi-Agent World ModelsWorld models → Latent dynamics models and model-based RL
  15. XBG: End-to-end Imitation Learning for Autonomous Behaviour in Human-Robot Interaction and CollaborationOffline RL and imitation learning from data → Robot manipulation imitation learning
  16. MVOC: a training-free multiple video object composition method with diffusion modelsDiffusion models → Video generation
  17. PointDreamer: Zero-shot 3D Textured Mesh Reconstruction from Colored Point CloudDiffusion models → 3D, point cloud and scene generation
  18. Unveiling Entity-Level Unlearning for Large Language Models: A Comprehensive AnalysisLLM safety and security → Machine unlearning
  19. Distributionally Robust Constrained Reinforcement Learning under Strong DualityDeep reinforcement learning methods → RL theory and sample complexity
  20. MR-MLLM: Mutual Reinforcement of Multimodal Comprehension and Vision PerceptionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  21. Rethinking the Diffusion Models for Numerical Tabular Data Imputation from the Perspective of Wasserstein Gradient FlowDiffusion models → Flow matching, time series and science
  22. The Perils of Optimizing Learned Reward Functions: Low Training Error Does Not Guarantee Low RegretLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  23. Evaluating Large Vision-and-Language Models on Children's Mathematical OlympiadsLLM reasoning → Mathematical reasoning
  24. Identifying and Solving Conditional Image Leakage in Image-to-Video Diffusion ModelDiffusion models → Video generation
  25. Regulating AI Adaptation: An Analysis of AI Medical Device Updates
  26. Integrating Attentional Factors and Spacing in Logistic Knowledge Tracing Models to Explore the Impact of Training Sequences on Category Learning
  27. Differentially Private Graph Diffusion with Applications in Personalized PageRanks
  28. Can LLMs Generate Visualizations with Dataless Prompts?
  29. A Review of Electromagnetic Elimination Methods for low-field portable MRI scanner
  30. Understanding the Role of User Profile in the Personalization of Large Language Models
  31. A multi-speaker multi-lingual voice cloning system based on vits2 for limmits 2024 challenge
  32. SHDB-AF: a Japanese Holter ECG database of atrial fibrillation
  33. An Efficient NAS-based Approach for Handling Imbalanced Datasets
  34. Flexible Tails for Normalizing Flows
  35. Multimodal Physiological Signals Representation Learning via Multiscale Contrasting for Depression Recognition
  36. Mitigating Noisy Supervision Using Synthetic Samples with Soft Labels
  37. Present and Future of AI in Renewable Energy Domain : A Comprehensive Survey
  38. Are Language Models Actually Useful for Time Series Forecasting?
  39. Large Language Models for Link Stealing Attacks Against Graph Neural Networks
  40. MetaGreen: Meta-Learning Inspired Transformer Selection for Green Semantic Communication
  41. Automating Transfer of Robot Task Plans using Functorial Data Migrations
  42. Fair Clustering: Critique, Caveats, and Future Directions
  43. A Nonoverlapping Domain Decomposition Method for Extreme Learning Machines: Elliptic Problems
  44. Bone Fracture Classification using Transfer Learning
  45. Beyond the Doors of Perception: Vision Transformers Represent Relations Between Objects
  46. Teaching LLMs to Abstain across Languages via Multilingual Feedback
  47. Optimizing LaneSegNet for Real-Time Lane Topology Prediction in Autonomous Vehicles
  48. Towards Exact Computation of Inductive Bias
  49. Beyond Individual Facts: Investigating Categorical Knowledge Locality of Taxonomy and Meronomy Concepts in GPT Models
  50. RuleR: Improving LLM Controllability by Rule-based Data Recycling
  51. An Automated SQL Query Grading System Using An Attention-Based Convolutional Neural Network
  52. Semantic Entropy Probes: Robust and Cheap Hallucination Detection in LLMs
  53. Federated Adversarial Learning for Robust Autonomous Landing Runway Detection
  54. PUDD: Towards Robust Multi-modal Prototype-based Deepfake Detection
  55. DISentangled Counterfactual Visual interpretER (DISCOVER) generalizes to natural images
  56. Credit Attribution and Stable Compression
  57. Learning When the Concept Shifts: Confounding, Invariance, and Dimension Reduction
  58. Defection-Free Collaboration between Competitors in a Learning System
  59. Fusing Audio and Metadata Embeddings Improves Language-based Audio Retrieval
  60. Statistical Models of Top-k Partial Orders
  61. The Unlikely Duel: Evaluating Creative Writing in LLMs through a Unique Scenario
  62. Real-time Speech Summarization for Medical Conversations
  63. The Music Maestro or The Musically Challenged, A Massive Music Evaluation Benchmark for Large Language Models
  64. Fast Tree-Field Integrators: From Low Displacement Rank to Topological Transformers
  65. BigCodeBench: Benchmarking Code Generation with Diverse Function Calls and Complex Instructions
  66. AI-based Drone Assisted Human Rescue in Disaster Environments: Challenges and Opportunities
  67. NeuralSCF: Neural network self-consistent fields for density functional theory
  68. Uncovering Hidden Intentions: Exploring Prompt Recovery for Deeper Insights into Generated Texts
  69. A multitask learning framework for leveraging subjectivity of annotators to identify misogyny
  70. DISHA: Low-Energy Sparse Transformer at Edge for Outdoor Navigation for the Visually Impaired Individuals
  71. Speech Analysis of Language Varieties in Italy
  72. Injectivity of ReLU-layers: Tools from Frame Theory
  73. Next Level Message-Passing with Hierarchical Support Graphs
  74. Quality-guided Skin Tone Enhancement for Portrait Photography
  75. Enhancing Solar Driver Forecasting with Multivariate Transformers
  76. Revisiting Interpolation Augmentation for Speech-to-Text Generation
  77. The Effect of Similarity Measures on Accurate Stability Estimates for Local Surrogate Models in Text-based Explainable AI
  78. Shape2.5D: A Dataset of Texture-less Surfaces for Depth and Normals Estimation
  79. CaT-BENCH: Benchmarking Language Model Understanding of Causal and Temporal Dependencies in Plans
  80. Automatic AI Model Selection for Wireless Systems: Online Learning via Digital Twinning
  81. Reading Is Believing: Revisiting Language Bottleneck Models for Image Classification
  82. Intrinsic Dimension Correlation: uncovering nonlinear connections in multimodal representations
  83. LaMSUM: Amplifying Voices Against Harassment through LLM Guided Extractive Summarization of User Incident Reports
  84. Understanding Student and Academic Staff Perceptions of AI Use in Assessment and Feedback
  85. Smart Feature is What You Need
  86. textttSynC: Synergistic Boosting of Structure and Representation for Deep Graph Clustering
  87. Privacy Implications of Explainable AI in Data-Driven Systems
  88. What Matters in Transformers? Not All Attention is Needed
  89. Data Issues in Industrial AI System: A Meta-Review and Research Strategy
  90. DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models
  91. ObjectNLQ @ Ego4D Episodic Memory Challenge 2024
  92. HCQA @ Ego4D EgoSchema Challenge 2024
  93. Continual Learning with Diffusion-based Generative Replay for Industrial Streaming Data
  94. Unveiling and Harnessing Hidden Attention Sinks: Enhancing Large Language Models without Training through Attention Calibration
  95. TP-DRSeg: Improving Diabetic Retinopathy Lesion Segmentation with Explicit Text-Prompts Assisted SAM
  96. AllMatch: Exploiting All Unlabeled Data for Semi-Supervised Learning
  97. ICM Ensemble with Novel Betting Functions for Concept Drift
  98. EDGE-LLM: Enabling Efficient Large Language Model Adaptation on Edge Devices via Layerwise Unified Compression and Adaptive Layer Tuning and Voting
  99. Fine-grained Background Representation for Weakly Supervised Semantic Segmentation
  100. Multimodal Segmentation for Vocal Tract Modeling
All 120
  1. TacoLM: GaTed Attention Equipped Codec Language Model are Efficient Zero-Shot Text to Speech Synthesizers
  2. Modeling Unknown Stochastic Dynamical System Subject to External Excitation
  3. Probabilistic Programming with Programmable Variational Inference
  4. Ladder: A Model-Agnostic Framework Boosting LLM-based Machine Translation to the Next Level
  5. RankAdaptor: Hierarchical Rank Allocation for Efficient Fine-Tuning Pruned LLMs via Performance Model
  6. AI-Driven Approaches for Optimizing Power Consumption: A Comprehensive Survey
  7. Breaking Secure Aggregation: Label Leakage from Aggregated Gradients in Federated Learning
  8. Semi-supervised variational autoencoder for cell feature extraction in multiplexed immunofluorescence images
  9. Acoustic Feature Mixup for Balanced Multi-aspect Pronunciation Assessment
  10. Scaling Laws for Fact Memorization of Large Language Models
  11. How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image Classification
  12. Beyond the Turn-Based Game: Enabling Real-Time Conversations with Duplex Models
  13. Predicting fluorescent labels in label-free microscopy images with pix2pix and adaptive loss in Light My Cells challenge
  14. Efficient Low-rank Identification via Accelerated Iteratively Reweighted Nuclear Norm Minimization
  15. Teach Better or Show Smarter? On Instructions and Exemplars in Automatic Prompt Optimization
  16. psPRF:Pansharpening Planar Neural Radiance Field for Generalized 3D Reconstruction Satellite Imagery
  17. video-SALMONN: Speech-Enhanced Audio-Visual Large Language Models
  18. Self-Supervised Alignment Learning for Medical Image Segmentation
  19. SS-GEN: A Social Story Generation Framework with Large Language Models
  20. Single-Temporal Supervised Learning for Universal Remote Sensing Change Detection