mlsanityData to 7 Oct 2026

Papers

New on arXiv

Sun 13 Oct 2024

176 papers

  1. TULIP: Token-length Upgraded CLIPMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  2. Adaptive Reasoning and Acting in Medical Language AgentsLLM reasoning → Clinical and biomedical applications +1
  3. SlimSeiz: Efficient Channel-Adaptive Seizure Prediction Using a Mamba-Enhanced NetworkState-space sequence models (S4, Mamba) → Physiological signal modeling
  4. LongHalQA: Long-Context Hallucination Evaluation for MultiModal Large Language ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  5. Efficient Federated Unlearning under Plausible DeniabilityLLM safety and security → Federated unlearning and poisoning
  6. Variational Diffusion Posterior Sampling with Midpoint GuidanceDiffusion models → Inverse problems and image restoration
  7. Learning to Rank for Multiple Retrieval-Augmented Models through Iterative Utility MaximizationRetrieval-augmented generation → Agentic RAG, agents and memory
  8. Dualformer: Controllable Fast and Slow Thinking by Learning with Randomized Reasoning TracesLLM reasoning → Test-time compute and efficient thinking
  9. RMB: Comprehensively Benchmarking Reward Models in LLM AlignmentLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  10. Provably Reliable Conformal Prediction Sets in the Presence of Data PoisoningLLM safety and security → Backdoor and data poisoning attacks
  11. ImagineNav: Prompting Vision-Language Models as Embodied Navigator through Scene ImaginationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  12. Training-Free Adaptive Diffusion with Bounded Difference Approximation StrategyDiffusion models → Diffusion foundations and sampling
  13. SynFER: Towards Boosting Facial Expression Recognition with Synthetic DataSynthetic data and self-improvement for LLMs → Self-improving MLLMs and synthetic data
  14. AuthFace: Towards Authentic Blind Face Restoration with Face-oriented Generative Diffusion PriorDiffusion models → Inverse problems and image restoration
  15. Conditioning 3D Diffusion Models with 2D Images: Towards Standardized OCT Volumes through En Face-Informed Super-ResolutionDiffusion models → Medical imaging and segmentation
  16. Text4Seg: Reimagining Image Segmentation as Text GenerationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  17. Conversational Code Generation: a Case Study of Designing a Dialogue System for Generating Driving Scenarios for Testing Autonomous VehiclesEnd-to-end autonomous driving → Large language models for driving
  18. LLM-Based Multi-Agent Systems are Scalable Graph Generative ModelsLLM agents and tool use → Social simulation and multi-agent debate
  19. BlackDAN: A Black-Box Multi-Objective Approach for Effective and Contextual Jailbreaking of Large Language ModelsLLM safety and security → Jailbreaking
  20. EBDM: Exemplar-guided Image Translation with Brownian-bridge Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  21. Generating Intermediate Representations for Compositional Text-To-Image GenerationDiffusion models → Image generation, text-to-image and editing
  22. ContextWIN: Whittle Index Based Mixture-of-Experts Neural Model For Restless Bandits Via Deep RLMixture-of-experts → MoE in reinforcement learning and robotics
  23. Expanding Search Space with Diverse Prompting Agents: An Efficient Sampling Approach for LLM Mathematical ReasoningLLM reasoning → Mathematical reasoning +1
  24. Targeted Vaccine: Safety Alignment for Large Language Models against Harmful Fine-Tuning via Layer-wise PerturbationLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  25. MMCOMPOSITION: Revisiting the Compositionality of Pre-trained Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  26. LOKI: A Comprehensive Synthetic Data Detection Benchmark using Large Multimodal ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  27. Taming Overconfidence in LLMs: Reward Calibration in RLHFLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  28. Agentic Information RetrievalLLM agents and tool use → Web, search, and research agents
  29. Honest AI: Fine-Tuning "Small" Language Models to Say "I Don't Know", and Reducing Hallucination in RAGRetrieval-augmented generation → Hallucination detection in RAG
  30. MoIN: Mixture of Introvert Experts to Upcycle an LLMMixture-of-experts → MoE large language models
  31. LoRD: Adapting Differentiable Driving Policies to Distribution ShiftsEnd-to-end autonomous driving → End-to-end system architecture
  32. Large-scale Multi-objective Feature Selection: A Multi-phase Search Space Shrinking Approach
  33. Achilles, Neural Network to Predict the Gold Vs US Dollar Integration with Trading Bot for Automatic Trading
  34. Author Unknown: Evaluating Performance of Author Extraction Libraries on Global Online News Articles
  35. Real-time Monitoring of Lower Limb Movement Resistance Based on Deep Learning
  36. Statistical Test for Auto Feature Engineering by Selective Inference
  37. Learning Robust Representations for Communications over Interference-limited Channels
  38. Large Model for Small Data: Foundation Model for Cross-Modal RF Human Activity Recognition
  39. Movement Control of Smart Mosque's Domes using CSRNet and Fuzzy Logic Techniques
  40. A Transformer Based Generative Chemical Language AI Model for Structural Elucidation of Organic Compounds
  41. S4ST: A Strong, Self-transferable, faSt, and Simple Scale Transformation for Transferable Targeted Attack
  42. IMAS: A Comprehensive Agentic Approach to Rural Healthcare Delivery
  43. Empowering Dysarthric Speech: Leveraging Advanced LLMs for Accurate Speech Correction and Multimodal Emotion Analysis
  44. Towards Homogeneous Lexical Tone Decoding from Heterogeneous Intracranial Recordings
  45. ELF-Gym: Evaluating Large Language Models Generated Features for Tabular Prediction
  46. Investigating Implicit Bias in Large Language Models: A Large-Scale Study of Over 50 LLMs
  47. STA-Unet: Rethink the semantic redundant for Medical Imaging Segmentation
  48. An Explainable AI Model for Predicting the Recurrence of Differentiated Thyroid Cancer
  49. Improving Generalization on the ProcGen Benchmark with Simple Architectural Changes and Scale
  50. 3DS: Medical Domain Adaptation of LLMs via Decomposed Difficulty-based Data Selection
  51. ChangeMinds: Multi-task Framework for Detecting and Describing Changes in Remote Sensing
  52. Neuro-Symbolic Skill Discovery for Conditional Multi-Level Planning
  53. DAG-aware Transformer for Causal Effect Estimation
  54. LoRE: Logit-Ranked Retriever Ensemble for Enhancing Open-Domain Question Answering
  55. WormKAN: Are KAN Effective for Identifying and Tracking Concept Drift in Time Series?
  56. GALA: Geometry-Aware Local Adaptive Grids for Detailed 3D Generation
  57. A Step Towards Mixture of Grader: Statistical Analysis of Existing Automatic Evaluation Metrics
  58. Sharper Guarantees for Learning Neural Network Classifiers with Gradient Methods
  59. Physics-informed AI and ML-based sparse system identification algorithm for discovery of PDE's representing nonlinear dynamic systems
  60. Online Multi-modal Root Cause Identification in Microservice Systems
  61. Improving accuracy and convergence of federated learning edge computing methods for generalized DER forecasting applications in power grid
  62. REPeat: A Real2Sim2Real Approach for Pre-acquisition of Soft Food Items in Robot-assisted Feeding
  63. Safety-Aware Fine-Tuning of Large Language Models
  64. NARAIM: Native Aspect Ratio Autoregressive Image Models
  65. Learning Interpretable Classifiers for PDDL Planning
  66. InterMask: 3D Human Interaction Generation via Collaborative Masked Modeling
  67. Enhancing Peer Review in Astronomy: A Machine Learning and Optimization Approach to Reviewer Assignments for ALMA
  68. TapWeight: Reweighting Pretraining Objectives for Task-Adaptive Pretraining
  69. SmoothSegNet: A Global-Local Framework for Liver Tumor Segmentation with Clinical KnowledgeInformed Label Smoothing
  70. Leveraging Customer Feedback for Multi-modal Insight Extraction
  71. Collu-Bench: A Benchmark for Predicting Language Model Hallucinations in Code
  72. Evaluating Gender Bias of LLMs in Making Morality Judgements
  73. MARS: Multilingual Aspect-centric Review Summarisation
  74. Global convergence of gradient descent for phase retrieval
  75. HARDMath: A Benchmark Dataset for Challenging Problems in Applied Mathematics
  76. Self-Data Distillation for Recovering Quality in Pruned Large Language Models
  77. Facial Width-to-Height Ratio Does Not Predict Self-Reported Behavioral Tendencies
  78. When Neutral Summaries are not that Neutral: Quantifying Political Neutrality in LLM-Generated News Summaries
  79. Optimizing Waste Management with Advanced Object Detection for Garbage Classification
  80. Gradient Span Algorithms Make Predictable Progress in High Dimension
  81. Make the Pertinent Salient: Task-Relevant Reconstruction for Visual Control with Distractions
  82. Deep-Ace: LSTM-based Prokaryotic Lysine Acetylation Site Predictor
  83. Improving 3D Few-Shot Segmentation with Inference-Time Pseudo-Labeling
  84. Lower-dimensional projections of cellular expression improves cell type classification from single-cell RNA sequencing
  85. EITNet: An IoT-Enhanced Framework for Real-Time Basketball Action Recognition
  86. MisinfoEval: Generative AI in the Era of "Alternative Facts"
  87. State of NLP in Kenya: A Survey
  88. Dynamic Estimation of Learning Rates Using a Non-Linear Autoregressive Model
  89. Generalized Group Data Attribution
  90. Robust identifiability for symbolic recovery of differential equations
  91. How to unlearn a learned Machine Learning model ?
  92. FedECADO: A Dynamical System Model of Federated Learning
  93. M2M-Gen: A Multimodal Framework for Automated Background Music Generation in Japanese Manga Using Large Language Models
  94. A resource-efficient model for deep kernel learning
  95. Analysis and Design of a Personalized Recommendation System Based on a Dynamic User Interest Model
  96. The Roles of Contextual Semantic Relevance Metrics in Human Visual Processing
  97. Stratified Domain Adaptation: A Progressive Self-Training Approach for Scene Text Recognition
  98. Combining Generative and Geometry Priors for Wide-Angle Portrait Correction
  99. UnSeg: One Universal Unlearnable Example Generator is Enough against All Image Segmentation
  100. Beyond Adapter Retrieval: Latent Geometry-Preserving Composition via Sparse Task Projection
All 176
  1. Reddit is all you need: Authorship profiling for Romanian
  2. Equitable Access to Justice: Logical LLMs Show Promise
  3. Multi class activity classification in videos using Motion History Image generation
  4. Inductive Conformal Prediction under Data Scarcity: Exploring the Impacts of Nonconformity Measures
  5. Large-Scale 3D Medical Image Pre-training with Geometric Context Priors
  6. Point Cloud Mixture-of-Domain-Experts Model for 3D Self-supervised Learning
  7. Occluded Human Pose Estimation based on Limb Joint Augmentation
  8. Improving Colorectal Cancer Screening and Risk Assessment through Predictive Modeling on Medical Images and Records
  9. TextMaster: A Unified Framework for Realistic Text Editing via Glyph-Style Dual-Control
  10. ViFi-ReID: A Two-Stream Vision-WiFi Multimodal Approach for Person Re-identification
  11. Towards Reproducible Learning-based Compression
  12. ChroKnowledge: Unveiling Chronological Knowledge of Language Models in Multiple Domains
  13. Prompt Tuning for Audio Deepfake Detection: Computationally Efficient Test-time Domain Adaptation with Limited Target Dataset
  14. Towards characterizing the value of edge embeddings in Graph Neural Networks
  15. Two-Stage Human Verification using HandCAPTCHA and Anti-Spoofed Finger Biometrics with Feature Selection
  16. Point Cloud Novelty Detection Based on Latent Representations of a General Feature Extractor
  17. Human Identification using Selected Features from Finger Geometric Profiles
  18. Understanding Robustness of Parameter-Efficient Tuning for Image Classification
  19. HASN: Hybrid Attention Separable Network for Efficient Image Super-resolution
  20. Fusion Based Hand Geometry Recognition Using Dempster-Shafer Theory
  21. Symmetry Discovery for Different Data Types
  22. Uncovering, Explaining, and Mitigating the Superficial Safety of Backdoor Defense
  23. Learning Pattern-Specific Experts for Time Series Forecasting Under Patch-level Distribution Shift
  24. Towards Defining an Efficient and Expandable File Format for AI-Generated Contents
  25. LoLI-Street: Benchmarking Low-Light Image Enhancement and Beyond
  26. Simultaneous Computation and Memory Efficient Zeroth-Order Optimizer for Fine-Tuning Large Language Models
  27. DAS3D: Dual-modality Anomaly Synthesis for 3D Anomaly Detection
  28. TopOC: Topological Deep Learning for Ovarian and Breast Cancer Diagnosis
  29. Reverse Modeling in Large Language Models
  30. Single Ground Truth Is Not Enough: Adding Flexibility to Aspect-Based Sentiment Analysis Evaluation
  31. Task Adaptive Feature Distribution Based Network for Few-shot Fine-grained Target Classification
  32. WGFormer: An SE(3)-Transformer Driven by Wasserstein Gradient Flows for Molecular Ground-State Conformation Prediction
  33. DFIMat: Decoupled Flexible Interactive Matting in Multi-Person Scenarios
  34. ECIS-VQG: Generation of Entity-centric Information-seeking Questions from Videos
  35. EasyJudge: an Easy-to-use Tool for Comprehensive Response Evaluation of LLMs
  36. A Mixed-Language Multi-Document News Summarization Dataset and a Graphs-Based Extract-Generate Model
  37. HypomimiaCoach: An AU-based Digital Therapy System for Hypomimia Detection & Rehabilitation with Parkinson's Disease
  38. EUGens: Efficient, Unified, and General Dense Layers
  39. 'Quis custodiet ipsos custodes?' Who will watch the watchmen? On Detecting AI-generated peer-reviews
  40. Tokenizing Motion: A Generative Approach for Scene Dynamics Compression
  41. LibEER: A Comprehensive Benchmark and Algorithm Library for EEG-based Emotion Recognition
  42. Stability and Sharper Risk Bounds with Convergence Rate tildeO(1/n2)
  43. EEG-based AI-BCI Wheelchair Advancement: A Brain-Computer Interfacing Wheelchair System Using Deep Learning Approach
  44. ChartKG: A Knowledge-Graph-Based Representation for Chart Images
  45. Data Adaptive Few-shot Multi Label Segmentation with Foundation Model
  46. BiDoRA: Bi-level Optimization-Based Weight-Decomposed Low-Rank Adaptation
  47. Comparison of Machine Learning Approaches for Classifying Spinodal Events
  48. SimBa: Simplicity Bias for Scaling Up Parameters in Deep Reinforcement Learning
  49. Surgical-LLaVA: Toward Surgical Scenario Understanding via Large Language and Vision Models
  50. EMWaveNet: Physically Explainable Neural Network Based on Electromagnetic Propagation for SAR Target Recognition
  51. t-READi: Transformer-Powered Robust and Efficient Multimodal Inference for Autonomous Driving
  52. Empirical Study of Mutual Reinforcement Effect and Application in Few-shot Text Classification Tasks via Prompt
  53. Real-time Fuel Leakage Detection via Online Change Point Detection
  54. Towards Stable, Globally Expressive Graph Representations with Laplacian Eigenvectors
  55. Gradient-Free Training of Quantized Neural Networks
  56. Distributed Intelligent Video Surveillance for Early Armed Robbery Detection based on Deep Learning
  57. MIRAGE: Multimodal Identification and Recognition of Annotations in Indian General Prescriptions
  58. Meta-Reinforcement Learning with Universal Policy Adaptation: Provable Near-Optimality under All-task Optimum Comparator
  59. Flying Quadrotors in Tight Formations using Learning-based Model Predictive Control
  60. A Tidal Current Speed Forecasting Model based on Multi-Periodicity Learning
  61. AM-SAM: Automated Prompting and Mask Calibration for Segment Anything Model
  62. Control the GNN: Utilizing Neural Controller with Lyapunov Stability for Test-Time Feature Reconstruction
  63. Learning from the past: predicting critical transitions with machine learning trained on surrogates of historical data
  64. EchoPrime: A Multi-Video View-Informed Vision-Language Model for Comprehensive Echocardiography Interpretation
  65. Universal scaling laws in quantum-probabilistic machine learning by tensor network towards interpreting representation and generalization powers
  66. Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models
  67. Provable Convergence and Limitations of Geometric Tempering for Langevin Dynamics
  68. Scalable Weibull Graph Attention Autoencoder for Modeling Document Networks
  69. Can In-context Learning Really Generalize to Out-of-distribution Tasks?
  70. Neural Solver Selection for Combinatorial Optimization
  71. ALLoRA: Adaptive Learning Rate Mitigates LoRA Fatal Flaws
  72. Robust 3D Point Clouds Classification based on Declarative Defenders
  73. FAMOUS: High-Fidelity Monocular 3D Human Digitization Using View Synthesis
  74. Generalization of Compositional Tasks with Logical Specification via Implicit Planning
  75. Learning Orthogonal Multi-Index Models: A Fine-Grained Information Exponent Analysis
  76. Uncovering Attacks and Defenses in Secure Aggregation for Federated Deep Learning