mlsanityData to 14 Oct 2026

Papers

New on arXiv

Sat 14 Dec 2024

173 papers

  1. An Agent Framework for Real-Time Financial Information Searching with Large Language ModelsLLM agents and tool use → Financial trading and forecasting agents
  2. Accelerating Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  3. Advancing Vehicle Plate Recognition: Multitasking Visual Language Models with VehiclePaliGemmaMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  4. TrendSim: Simulating Trending Topics in Social Media Under Poisoning Attacks with LLM-based Multi-agent SystemLLM agents and tool use → Agent threats, guardrails and governance
  5. MASV: Speaker Verification with Global and Local Context MambaState-space sequence models (S4, Mamba) → Speech and audio SSMs
  6. PSMGD: Periodic Stochastic Multi-Gradient Descent for Fast Multi-Objective OptimizationDeep reinforcement learning methods → RL for games and combinatorial optimization
  7. Generative Modeling with DiffusionDiffusion models → Diffusion foundations and sampling
  8. Progressive Compression with Universally Quantized Diffusion ModelsDiffusion models → Diffusion for compression and wireless
  9. Adaptive Reward Design for Reinforcement LearningDeep reinforcement learning methods → Interpretable and logic-guided RL
  10. Do large language vision models understand 3D shapes?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  11. Zigzag Diffusion Sampling: Diffusion Models Can Self-Improve via Self-ReflectionDiffusion models → Image generation, text-to-image and editing
  12. Fast and Robust Visuomotor Riemannian Flow Matching PolicyDiffusion models → Diffusion and flow policies for robotics
  13. Superhuman performance of a large language model on the reasoning tasks of a physicianLLM reasoning → Clinical and biomedical applications
  14. Lyapunov-based reinforcement learning for distributed control with stability guaranteeDeep reinforcement learning methods → RL for games and combinatorial optimization
  15. Learning Semantic-Aware Representation in Visual-Language Models for Multi-Label Recognition with Partial LabelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  16. Attention-driven GUI Grounding: Leveraging Pretrained Multimodal Large Language Models without Fine-TuningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  17. Rethinking Chain-of-Thought from the Perspective of Self-TrainingLLM reasoning → Prompting and chain-of-thought reasoning +1
  18. Diffusion Model from ScratchDiffusion models → Diffusion foundations and sampling
  19. Automated Driving with Evolution Capability: A Reinforcement Learning Method with Monotonic Performance EnhancementEnd-to-end autonomous driving → Reinforcement learning for driving +1
  20. Towards Action Hijacking of Large Language Model-based AgentLLM agents and tool use → Agent threats, guardrails and governance +1
  21. Optimizing Few-Step Sampler for Diffusion Probabilistic ModelDiffusion models → Diffusion foundations and sampling
  22. StyleDiT: A Unified Framework for Diverse Child and Partner Faces Synthesis with Style Latent Diffusion TransformerDiffusion models → Image generation, text-to-image and editing
  23. Video Diffusion Transformers are In-Context LearnersDiffusion models → Video generation
  24. Optimizing Vision-Language Interactions Through Decoder-Only ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  25. Explainable Fuzzy Neural Network with Multi-Fidelity Reinforcement Learning for Micro-Architecture Design Space ExplorationDeep reinforcement learning methods → RL for energy, networks and operations
  26. WEPO: Web Element Preference Optimization for LLM-based Web NavigationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  27. NoisyEQA: Benchmarking Embodied Question Answering Against Noisy QueriesMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  28. RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted BehaviorsDeep reinforcement learning methods → Adversarial robustness and RL in finance
  29. MambaPro: Multi-Modal Object Re-Identification with Mamba Aggregation and Synergistic PromptState-space sequence models (S4, Mamba) → Vision Mamba backbones
  30. VisDoM: Multi-Document QA with Visually Rich Elements Using Multimodal Retrieval-Augmented GenerationRetrieval-augmented generation → Multimodal RAG
  31. Learning to Verify Summary Facts with Fine-Grained LLM FeedbackLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  32. Inference Scaling for Bridging Retrieval and Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  33. One Pixel is All I NeedLLM safety and security → Backdoor and data poisoning attacks
  34. UCDR-Adapter: Exploring Adaptation of Pre-Trained Vision-Language Models for Universal Cross-Domain RetrievalMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  35. Proposing and solving olympiad geometry with guided tree searchLLM reasoning → Spatial and embodied reasoning
  36. Thinking with Knowledge Graphs: Enhancing LLM Reasoning Through Structured DataLLM reasoning → Knowledge- and tool-augmented reasoning
  37. ARMADA: Augmented Reality for Robot Manipulation and Robot-Free Data AcquisitionOffline RL and imitation learning from data → Robot manipulation imitation learning
  38. Multi-SpaCE: Multi-Objective Subsequence-based Sparse Counterfactual Explanations for Multivariate Time Series Classification
  39. Energy-Efficient Sampling Using Stochastic Magnetic Tunnel Junctions
  40. Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization
  41. Transfer Learning with Active Sampling for Rapid Training and Calibration in BCI-P300 Across Health States and Multi-centre Data
  42. RoundTripOCR: A Data Generation Technique for Enhancing Post-OCR Error Correction in Low-Resource Devanagari Languages
  43. Streamlining Systematic Reviews: A Novel Application of Large Language Models
  44. Pop-out vs. Glue: A Study on the pre-attentive and focused attention stages in Visual Search tasks
  45. BlockDoor: Blocking Backdoor Based Watermarks in Deep Neural Networks
  46. Cocoa: Co-Planning and Co-Execution with AI Agents
  47. Mask Enhanced Deeply Supervised Prostate Cancer Detection on B-mode Micro-Ultrasound
  48. RapidNet: Multi-Level Dilated Convolution Based Mobile Backbone
  49. Navigating Dialectal Bias and Ethical Complexities in Levantine Arabic Hate Speech Detection
  50. MorphiNet: A Graph Subdivision Network for Adaptive Bi-ventricle Surface Reconstruction
  51. MedG-KRP: Medical Graph Knowledge Representation Probing
  52. Hybrid Forecasting of Geopolitical Events
  53. Point Cloud to Mesh Reconstruction: Methods, Trade-offs, and Implementation Guide
  54. Enhancing Off-Grid One-Bit DOA Estimation with Learning-Based Sparse Bayesian Approach for Non-Uniform Sparse Array
  55. Recursive Aggregates as Intensional Functions in Answer Set Programming: Semantics and Strong Equivalence
  56. DCSEG: Decoupled 3D Open-Set Segmentation using Gaussian Splatting
  57. Composers' Evaluations of an AI Music Tool: Insights for Human-Centred Design
  58. Biological and Radiological Dictionary of Radiomics Features: Addressing Understandable AI Issues in Personalized Prostate Cancer; Dictionary Version PM1.0
  59. FlowDock: Geometric Flow Matching for Generative Protein-Ligand Docking and Affinity Prediction
  60. Can LLMs Help Create Grammar?: Automating Grammar Creation for Endangered Languages with In-Context Learning
  61. SoftVQ-VAE: Efficient 1-Dimensional Continuous Tokenizer
  62. Deep Learning-Based Noninvasive Screening of Type 2 Diabetes with Chest X-ray Images and Electronic Health Records
  63. Optimizing AI-Assisted Code Generation
  64. ALPACA -- Adaptive Learning Pipeline for Comprehensive AI
  65. SegHeD+: Segmentation of Heterogeneous Data for Multiple Sclerosis Lesions with Anatomical Constraints and Lesion-aware Augmentation
  66. A Staged Deep Learning Approach to Spatial Refinement in 3D Temporal Atmospheric Transport
  67. Rethinking Detecting Salient and Camouflaged Objects in Unconstrained Scenes
  68. Meta-evaluating stability measures: MAX-Senstivity & AVG-Sensitivity
  69. APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
  70. Human-Centric NLP or AI-Centric Illusion?: A Critical Investigation
  71. Enhancing Discoverability in Enterprise Conversational Systems with Proactive Question Suggestions
  72. Video Representation Learning with Joint-Embedding Predictive Architectures
  73. Tokens, the oft-overlooked appetizer: Large language models, the distributional hypothesis, and meaning
  74. Linear Programming based Approximation to Individually Fair k-Clustering with Outliers
  75. Predicting Survival of Hemodialysis Patients using Federated Learning
  76. LLMs-in-the-Loop Part 2: Expert Small AI Models for Anonymization and De-identification of PHI Across Multiple Languages
  77. Canopy: Property-Driven Learning for Congestion Control
  78. Quantifying Extreme Opinions on Reddit Amidst the 2023 Israeli-Palestinian Conflict
  79. ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data
  80. SusGen-GPT: A Data-Centric LLM for Financial NLP and Sustainability Report Generation
  81. CEKER: A Generalizable LLM Framework for Literature Analysis with a Case Study in Unikernel Security
  82. Enhancing Road Crack Detection Accuracy with BsS-YOLO: Optimizing Feature Fusion and Attention Mechanisms
  83. PEARL: Input-Agnostic Prompt Enhancement with Negative Feedback Regulation for Class-Incremental Learning
  84. Exploring Grokking: Experimental and Mechanistic Investigations
  85. Task Diversity in Bayesian Federated Learning: Simultaneous Processing of Classification and Regression
  86. Multi-Class and Multi-Task Strategies for Neural Directed Link Prediction
  87. BgGPT 1.0: Extending English-centric LLMs to other languages
  88. Know Unreported Roadway Incidents in Real-time: Early Traffic Anomaly Detection
  89. Integrating Generative and Physics-Based Models for Ptychographic Imaging with Uncertainty Quantification
  90. Adaptive Quantization Resolution and Power Control for Federated Learning over Cell-free Networks
  91. Fully Test-time Adaptation for Tabular Data
  92. A Novel End-To-End Event Geolocation Method Leveraging Hyperbolic Space and Toponym Hierarchies
  93. TinySubNets: An efficient and low capacity continual learning strategy
  94. Heterogeneous Graph Transformer for Multiple Tiny Object Tracking in RGB-T Videos
  95. Classification of Financial Data Using Quantum Support Vector Machine
  96. DUET: Dual Clustering Enhanced Multivariate Time Series Forecasting
  97. CRENER: A Character Relation Enhanced Chinese NER Model
  98. Robust Persian Digit Recognition in Noisy Environments Using Hybrid CNN-BiGRU Model
  99. RWKV-edge: Deeply Compressed RWKV for Resource-Constrained Devices
  100. SEW: Self-calibration Enhanced Whole Slide Pathology Image Analysis
All 173
  1. Defending Collaborative Filtering Recommenders via Adversarial Robustness Based Edge Reweighting
  2. Large Language Models for Medical Forecasting -- Foresight 2
  3. Detecting Activities of Daily Living in Egocentric Video to Contextualize Hand Use at Home in Outpatient Neurorehabilitation Settings
  4. Deep Learning Models for Colloidal Nanocrystal Synthesis
  5. A Diagrammatic Approach to Improve Computational Efficiency in Group Equivariant Neural Networks
  6. CFSSeg: Closed-Form Solution for Class-Incremental Semantic Segmentation of 2D Images and 3D Point Clouds
  7. Low-Biased General Annotated Dataset Generation
  8. Generative AI: A Pix2pix-GAN-Based Machine Learning Approach for Robust and Efficient Lung Segmentation
  9. FinGPT: Enhancing Sentiment-Based Stock Movement Prediction with Dissemination-Aware and Context-Enriched LLMs
  10. Graph Attention Hamiltonian Neural Networks: A Lattice System Analysis Model Based on Structural Learning
  11. Enhance Vision-Language Alignment with Noise
  12. Hyper-Fusion Network for Semi-Automatic Segmentation of Skin Lesions
  13. Learning Satellite Pattern-of-Life Identification: A Diffusion-based Approach
  14. Are Language Models Agnostic to Linguistically Grounded Perturbations? A Case Study of Indic Languages
  15. Medical Manifestation-Aware De-Identification
  16. AuctionNet: A Novel Benchmark for Decision-Making in Large-Scale Games
  17. Reliable and superior elliptic Fourier descriptor normalization and its application software ElliShape with efficient image processing
  18. Audio-based Anomaly Detection in Industrial Machines Using Deep One-Class Support Vector Data Description
  19. Scaling Up Graph Propagation Computation on Large Graphs: A Local Chebyshev Approximation Approach
  20. ANaGRAM: A Natural Gradient Relative to Adapted Model for efficient PINNs learning
  21. Continual Learning for Behavior-based Driver Identification
  22. Sample-efficient Unsupervised Policy Cloning from Ensemble Self-supervised Labeled Videos
  23. Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification
  24. VinTAGe: Joint Video and Text Conditioning for Holistic Audio Generation
  25. Neural Network Meta Classifier: Improving the Reliability of Anomaly Segmentation
  26. Rebalanced Vision-Language Retrieval Considering Structure-Aware Distillation
  27. Damage Assessment after Natural Disasters with UAVs: Semantic Feature Extraction using Deep Learning
  28. p-Mean Regret for Stochastic Bandits
  29. Patch-level Sounding Object Tracking for Audio-Visual Question Answering
  30. A Pioneering Neural Network Method for Efficient and Robust Fluid Simulation
  31. NeuralPLexer3: Accurate Biomolecular Complex Structure Prediction with Flow Models
  32. RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning
  33. DSRC: Learning Density-insensitive and Semantic-aware Collaborative Representation against Corruptions
  34. OmniHD-Scenes: A Next-Generation Multimodal Dataset for Autonomous Driving
  35. MAL: Cluster-Masked and Multi-Task Pretraining for Enhanced xLSTM Vision Performance
  36. HEP-NAS: Towards Efficient Few-shot Neural Architecture Search via Hierarchical Edge Partitioning
  37. Bridging Vision and Language: Modeling Causality and Temporality in Video Narratives
  38. Just a Few Glances: Open-Set Visual Perception with Image Prompt Paradigm
  39. Grid: Omni Visual Generation
  40. HITgram: A Platform for Experimenting with n-gram Language Models
  41. Control of Overfitting with Physics
  42. Towards Effective, Efficient and Unsupervised Social Event Detection in the Hyperbolic Space
  43. Virtual Trial Room with Computer Vision and Machine Learning
  44. Efficient Adaptation of Multilingual Models for Japanese ASR
  45. Doubly-Bounded Queue for Constrained Online Learning: Keeping Pace with Dynamics of Both Loss and Constraint
  46. Memory Efficient Matting with Adaptive Token Routing
  47. Cluster-Based Multi-Agent Task Scheduling for Space-Air-Ground Integrated Networks
  48. Linked Adapters: Linking Past and Future to Present for Effective Continual Learning
  49. Adaptive Nonparametric Perturbations of Parametric Models with Generalized Bayes
  50. Stochastic k-Submodular Bandits with Full Bandit Feedback
  51. U-FaceBP: Uncertainty-aware Bayesian Ensemble Deep Learning for Face Video-based Blood Pressure Estimation
  52. Chasing Progress, Not Perfection: Revisiting Strategies for End-to-End LLM Plan Generation
  53. USM: Unbiased Survey Modeling for Limiting Negative User Experiences in Recommendation Systems
  54. FairGP: A Scalable and Fair Graph Transformer Using Graph Partitioning
  55. Pretrained Event Classification Model for High Energy Physics Analysis
  56. Structured Sampling for Robust Euclidean Distance Geometry
  57. Memory-Efficient 4-bit Preconditioned Stochastic Optimization
  58. MEATRD: Multimodal Anomalous Tissue Region Detection Enhanced with Spatial Transcriptomics
  59. Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling
  60. Global Estimation of Subsurface Eddy Kinetic Energy of Mesoscale Eddies Using a Multiple-input Residual Neural Network
  61. CENTAUR: Bridging the Impossible Trinity of Privacy, Efficiency, and Performance in Privacy-Preserving Transformer Inference
  62. LAN: Learning to Adapt Noise for Image Denoising
  63. DeMo: Decoupled Feature-Based Mixture of Experts for Multi-Modal Object Re-Identification
  64. Hidden Echoes Survive Training in Audio To Audio Generative Instrument Models
  65. Enhancement of text recognition for hanja handwritten documents of Ancient Korea
  66. Model-driven deep neural network for enhanced direction finding with commodity 5G gNodeB
  67. Scientific Realism vs. Anti-Realism: Toward a Common Ground
  68. Upstream flow geometries can be uniquely learnt from single-point turbulence signatures
  69. Rapid Reconstruction of Extremely Accelerated Liver 4D MRI via Chained Iterative Refinement
  70. CATALOG: A Camera Trap Language-guided Contrastive Learning Model
  71. Ares: Approximate Representations via Efficient Sparsification -- A Stateless Approach through Polynomial Homomorphism
  72. A recent evaluation on the performance of LLMs on radiation oncology physics using questions of randomly shuffled options
  73. WaveGNN: Integrating Graph Neural Networks and Transformers for Decay-Aware Classification of Irregular Clinical Time-Series