mlsanityData to 7 Oct 2026

Papers

New on arXiv

Mon 13 Nov 2023

243 papers

  1. Diff-GO: Diffusion Goal-Oriented Communications to Achieve Ultra-High Spectrum EfficiencyDiffusion models → Diffusion for compression and wireless
  2. Enabling High-Level Machine Reasoning with Cognitive Neuro-Symbolic SystemsLLM reasoning → Reasoning benchmarks and evaluation
  3. Generalization Analogies: A Testbed for Generalizing AI Oversight to Hard-To-Measure DomainsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  4. MART: Improving LLM Safety with Multi-round Automatic Red-TeamingLLM safety and security → Prompt injection and agent security
  5. Pretrain like Your Inference: Masked Tuning Improves Zero-Shot Composed Image RetrievalMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  6. SPHINX: The Joint Mixing of Weights, Tasks, and Visual Embeddings for Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  7. GPT-4V in Wonderland: Large Multimodal Models for Zero-Shot Smartphone GUI NavigationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  8. Backdoor Attacks on Transformers for Tabular Data: An Empirical StudyLLM safety and security → Backdoor and data poisoning attacks
  9. GPT-4V(ision) as A Social Media Analysis EngineMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  10. It's Not Easy Being Wrong: Large Language Models Struggle with Process of Elimination ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
  11. Finding and Editing Multi-Modal Neurons in Pre-Trained TransformersMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  12. InCA: Rethinking In-Car Conversational System Assessment Leveraging Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  13. On Measuring Faithfulness or Self-consistency of Natural Language ExplanationsLLM reasoning → Prompting and chain-of-thought reasoning
  14. Semantically Grounded QFormer for Efficient Vision Language UnderstandingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  15. Think Before You Speak: Cultivating Communication Skills of Large Language Models via Inner MonologueLLM reasoning → Reasoning benchmarks and evaluation
  16. Robust semi-supervised segmentation with timestep ensembling diffusion modelsDiffusion models → Medical imaging and segmentation
  17. AMBER: An LLM-free Multi-dimensional Benchmark for MLLMs Hallucination EvaluationMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  18. Volcano: Mitigating Multimodal Hallucination through Self-Feedback Guided RevisionMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  19. Zero-Shot Duet Singing Voices Separation with Diffusion ModelsDiffusion models → Audio, speech and music
  20. Do large language models and humans have similar behaviors in causal inference with script knowledge?LLM reasoning → Causal reasoning in LLMs
  21. MonoDiffusion: Self-Supervised Monocular Depth Estimation Using Diffusion ModelDiffusion models → 3D, point cloud and scene generation
  22. VerityMath: Advancing Mathematical Reasoning by Self-Verification Through Unit ConsistencyLLM reasoning → Mathematical reasoning
  23. WaterBench: Towards Holistic Evaluation of Watermarks for Large Language ModelsLLM safety and security → Watermarking generated content and models
  24. On the Discussion of Large Language Models: Symmetry of Agents and Interplay with PromptsLLM reasoning → Reasoning for agents, planning and code +1
  25. Explain-then-Translate: An Analysis on Improving Program Translation with Self-generated ExplanationsSynthetic data and self-improvement for LLMs → Code and instruction data synthesis
  26. Teach me with a Whisper: Enhancing Large Language Models for Analyzing Spoken Transcripts using Speech EmbeddingsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  27. Automated Classification of Model Errors on ImageNet
  28. Brain-Inspired Spiking Neural Networks for Industrial Fault Diagnosis: A Survey, Challenges, and Opportunities
  29. Bias-Reduced Neural Networks for Parameter Estimation in Quantitative MRI
  30. Can LLMs Patch Security Issues?
  31. Knowledge Tracing Challenge: Optimal Activity Sequencing for Students
  32. Combinatorial Optimization with Policy Adaptation using Latent Space Search
  33. How Contentious Terms About People and Cultures are Used in Linked Open Data
  34. A Framework of Defining, Modeling, and Analyzing Cognition Mechanisms
  35. Affine Invariance in Continuous-Domain Convolutional Neural Networks
  36. Deep Phenotyping of Non-Alcoholic Fatty Liver Disease Patients with Genetic Factors for Insights into the Complex Disease
  37. Towards a Transportable Causal Network Model Based on Observational Healthcare Data
  38. Non-Contact Breathing Rate Detection Using Optical Flow
  39. In-context Learning Generalizes, But Not Always Robustly: The Case of Syntax
  40. Assessing Test-time Variability for Interactive 3D Medical Image Segmentation with Diverse Point Prompts
  41. IruMozhi: Automatically classifying diglossia in Tamil
  42. Probabilistic Physics-integrated Neural Differentiable Modeling for Isothermal Chemical Vapor Infiltration Process
  43. Explainable History Distillation by Marked Temporal Point Process
  44. Leveraging Hamilton-Jacobi PDEs with time-dependent Hamiltonians for continual scientific machine learning
  45. CSLP-AE: A Contrastive Split-Latent Permutation Autoencoder Framework for Zero-Shot Electroencephalography Signal Conversion
  46. Predicting the First Response Latency of Maintainers and Contributors in Pull Requests
  47. A Data-Free Approach to Mitigate Catastrophic Forgetting in Federated Class Incremental Learning for Vision Tasks
  48. Parrot-Trained Adversarial Examples: Pushing the Practicality of Black-Box Audio Attacks against Speaker Recognition Models
  49. In-context Learning and Gradient Descent Revisited
  50. GreekT5: A Series of Greek Sequence-to-Sequence Models for News Summarization
  51. Vision-Language Integration in Multimodal Video Transformers (Partially) Aligns with the Brain
  52. FedOpenHAR: Federated Multi-Task Transfer Learning for Sensor-Based Human Activity Recognition
  53. The Disagreement Problem in Faithfulness Metrics
  54. Finite Mixtures of Multivariate Poisson-Log Normal Factor Analyzers for Clustering Count Data
  55. Amodal Optical Flow
  56. SynthEnsemble: A Fusion of CNN, Vision Transformer, and Hybrid Models for Multi-Label Chest X-Ray Classification
  57. Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice
  58. Two-Stage Aggregation with Dynamic Local Attention for Irregular Time Series
  59. Quality-Aware Prototype Memory for Face Representation Learning
  60. A Simple Quantum Blockmodeling with Qubits and Permutations
  61. PolyIE: A Dataset of Information Extraction from Polymer Material Scientific Literature
  62. Histopathologic Cancer Detection
  63. Reinforcement Learning for Solving Stochastic Vehicle Routing Problem
  64. Robust and Scalable Hyperdimensional Computing With Brain-Like Neural Adaptations
  65. Measuring Entrainment in Spontaneous Code-switched Speech
  66. AuthentiGPT: Detecting Machine-Generated Text via Black-Box Language Models Denoising
  67. Matching aggregate posteriors in the variational autoencoder
  68. On The Truthfulness of 'Surprisingly Likely' Responses of Large Language Models
  69. Language Model-In-The-Loop: Data Optimal Approach to Learn-To-Recommend Actions in Text Games
  70. Fuse to Forget: Bias Reduction and Selective Memorization through Model Fusion
  71. Attention-based Multi-task Learning for Base Editor Outcome Prediction
  72. Past as a Guide: Leveraging Retrospective Learning for Python Code Completion
  73. ActiveDC: Distribution Calibration for Active Finetuning
  74. Benchmarking PtO and PnO Methods in the Predictive Combinatorial Optimization Regime
  75. ResMGCN: Residual Message Graph Convolution Network for Fast Biomedical Interactions Discovering
  76. Cross-modal Generative Model for Visual-Guided Binaural Stereo Generation
  77. A Consistent Diffusion-Based Algorithm for Semi-Supervised Graph Learning
  78. Quantum Machine Learning for Remote Sensing: Exploring potential and challenges
  79. Activity Sparsity Complements Weight Sparsity for Efficient RNN Inference
  80. PadChannel: Improving CNN Performance through Explicit Padding Encoding
  81. To Transformers and Beyond: Large Language Models for the Genome
  82. To See is to Believe: Prompting GPT-4V for Better Visual Instruction Tuning
  83. Feature emergence via margin maximization: case studies in algebraic tasks
  84. Exploration via linearly perturbed loss minimisation
  85. Can Authorship Attribution Models Distinguish Speakers in Speech Transcripts?
  86. Learning Control Policies of Hodgkin-Huxley Neuronal Dynamics
  87. Fast Normalized Cross-Correlation for Template Matching with Rotations
  88. Data-Efficient Task Generalization via Probabilistic Model-based Meta Reinforcement Learning
  89. Using Natural Language Explanations to Improve Robustness of In-context Learning
  90. An Extensive Study on Adversarial Attack against Pre-trained Models of Code
  91. Interpretable A-posteriori Error Indication for Graph Neural Network Surrogate Models
  92. mlscorecheck: Testing the consistency of reported performance scores and experiments in machine learning
  93. Leveraging Multiple Teachers for Test-Time Adaptation of Language-Guided Classifiers
  94. Estimating optical vegetation indices and biophysical variables for temperate forests with Sentinel-1 SAR data using machine learning techniques: A case study for Czechia
  95. A Comprehensive Evaluation of GPT-4V on Knowledge-Intensive Visual Question Answering
  96. Unsupervised Musical Object Discovery from Audio
  97. Automatic Identification of Driving Maneuver Patterns using a Robust Hidden Semi-Markov Models
  98. Machine Learning For Beamline Steering
  99. FEMDA: a unified framework for discriminant analysis
  100. VGSG: Vision-Guided Semantic-Group Network for Text-based Person Search
All 243
  1. A Hypothesis on Good Practices for AI-based Systems for Financial Time Series Forecasting: Towards Domain-Driven XAI Methods
  2. Uncertainty estimation of machine learning spatial precipitation predictions from satellite data
  3. Explicit Foundation Model Optimization with Self-Attentive Feed-Forward Neural Units
  4. A Benchmark to Understand the Role of Knowledge Graphs on Large Language Model's Accuracy for Question Answering on Enterprise SQL Databases
  5. STEM Rebalance: A Novel Approach for Tackling Imbalanced Datasets using SMOTE, Edited Nearest Neighbour, and Mixup
  6. Reducing the Need for Backpropagation and Discovering Better Optima With Explicit Optimizations of Neural Networks
  7. Multilingual Nonce Dependency Treebanks: Understanding how Language Models represent and process syntactic structure
  8. A Step Closer to Comprehensive Answers: Constrained Multi-Stage Question Decomposition with Large Language Models
  9. EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning
  10. Psychometric Predictive Power of Large Language Models
  11. Temporal Performance Prediction for Deep Convolutional Long Short-Term Memory Networks
  12. Masked Face Dataset Generation and Masked Face Recognition
  13. A Federated Data Fusion-Based Prognostic Model for Applications with Multi-Stream Incomplete Signals
  14. An Analysis and Mitigation of the Reversal Curse
  15. Computerized Tomography and Reproducing Kernels
  16. MEGAVERSE: Benchmarking Large Language Models Across Languages, Modalities, Models and Tasks
  17. DIRA-SS:Dynamic Domain Incremental Regularised Adaptation -- Self-Supervised
  18. KnowSafe: Combined Knowledge and Data Driven Hazard Mitigation in Artificial Pancreas Systems
  19. Causal Discovery in Mixtures of Populations
  20. ChartCheck: Explainable Fact-Checking over Real-World Chart Images
  21. Explainable Boosting Machines with Sparsity -- Maintaining Explainability in High-Dimensional Settings
  22. Story-to-Motion: Synthesizing Infinite and Controllable Character Animation from Long Text
  23. On the Robustness of Neural Collapse and the Neural Collapse of Robustness
  24. Investigating Multi-Pivot Ensembling with Massively Multilingual Machine Translation Models
  25. Supersampling of Data from Structured-light Scanner with Deep Learning
  26. Controlled Text Generation for Black-box Language Models via Score-based Progressive Editor
  27. Boolean Variation and Boolean Logic BackPropagation
  28. Optimising Human-AI Collaboration by Learning Convincing Explanations
  29. Hallucination Augmented Recitations for Language Models
  30. Speech-based Slot Filling using Large Language Models
  31. Mitigating Backdoors within Deep Neural Networks in Data-limited Configuration
  32. Three-dimensional granular flow simulation using graph neural network-based learned simulator
  33. FIRST: A Million-Entry Dataset for Text-Driven Fashion Synthesis and Design
  34. A Large Deviations Perspective on Policy Gradient Algorithms
  35. Towards Automatic Honey Bee Flower-Patch Assays with Paint Marking Re-Identification
  36. Processing and Segmentation of Human Teeth from 2D Images using Weakly Supervised Learning
  37. Exploring Values in Museum Artifacts in the SPICE project: a Preliminary Study
  38. Predicting Continuous Locomotion Modes via Multidimensional Feature Learning from sEMG
  39. Evaluating the Significance of Outdoor Advertising from Driver's Perspective Using Computer Vision
  40. Transpose Attack: Stealing Datasets with Bidirectional Training
  41. Assessing Logical Puzzle Solving in Large Language Models: Insights from a Minesweeper Case Study
  42. LM-Polygraph: Uncertainty Estimation for Language Models
  43. Testing learning-enabled cyber-physical systems with Large-Language Models: A Formal Approach
  44. Classification of developmental and brain disorders via graph convolutional aggregation
  45. arfpy: A python package for density estimation and generative modeling with adversarial random forests
  46. The Impact of Large Language Models on Scientific Discovery: a Preliminary Study using GPT-4
  47. Registered and Segmented Deformable Object Reconstruction from a Single View Point Cloud
  48. ADAMM: Anomaly Detection of Attributed Multi-graphs with Metadata: A Unified Neural Network Approach
  49. Improve Myocardial Strain Estimation based on Deformable Groupwise Registration with a Locally Low-Rank Dissimilarity Metric
  50. Missing Value Imputation for Multi-attribute Sensor Data Streams via Message Propagation (Extended Version)
  51. Fine-Tuning the Retrieval Mechanism for Tabular Deep Learning
  52. MetaSymNet: A Tree-like Symbol Network with Adaptive Architecture and Activation Functions
  53. Data-Aware Gradient Compression for FL in Communication-Constrained Mobile Computing
  54. A Voting Approach for Explainable Classification with Rule Learning
  55. Connecting the Dots: Graph Neural Network Powered Ensemble and Classification of Medical Images
  56. An introduction to reinforcement learning for neuroscience
  57. Semi-automatic Data Enhancement for Document-Level Relation Extraction with Distant Supervision from Large Language Models
  58. C-Procgen: Empowering Procgen with Controllable Contexts
  59. What Large Language Models Bring to Text-rich VQA?
  60. Geo-Localization Based on Dynamically Weighted Factor-Graph
  61. BIDRN: A Method of Bidirectional Recurrent Neural Network for Sentiment Analysis
  62. A probabilistic forecast methodology for volatile electricity prices in the Australian National Electricity Market
  63. Explaining black boxes with a SMILE: Statistical Model-agnostic Interpretability with Local Explanations
  64. Multi Sentence Description of Complex Manipulation Action Videos
  65. Learning Arithmetic Formulas in the Presence of Noise: A General Framework and Applications to Unsupervised Learning
  66. Predictive and prescriptive analytics for multi-site modelling of frail and elderly patient services
  67. AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection
  68. Danish Foundation Models
  69. LT-ViT: A Vision Transformer for multi-label Chest X-ray classification
  70. Sketch-based Video Object Segmentation: Benchmark and Analysis
  71. TIAGo RL: Simulated Reinforcement Learning Environments with Tactile Data for Mobile Robots
  72. Towards Bounding Causal Effects under Markov Equivalence
  73. Simultaneous Clutter Detection and Semantic Segmentation of Moving Objects for Automotive Radar Data
  74. Towards Transferring Tactile-based Continuous Force Control Policies from Simulation to Robot
  75. In Search of the Long-Tail: Systematic Generation of Long-Tail Inferential Knowledge via Logical Rule Guided Search
  76. DeepMetricEye: Metric Depth Estimation in Periocular VR Imagery
  77. Multi-task learning for joint weakly-supervised segmentation and aortic arch anomaly classification in fetal cardiac MRI
  78. IASCAR: Incremental Answer Set Counting by Anytime Refinement
  79. Error Analysis of Option Pricing via Deep PDE Solvers: Empirical Study
  80. How are Prompts Different in Terms of Sensitivity?
  81. Large Language Models for Robotics: A Survey
  82. Neural General Circulation Models for Weather and Climate
  83. Troubles and Failures in Interactional Language. Towards a Linguistically Informed Taxonomy
  84. Few Shot Learning for the Classification of Confocal Laser Endomicroscopy Images of Head and Neck Tumors
  85. Coffee: Boost Your Code LLMs by Fixing Bugs with Feedback
  86. A method for quantifying sectoral optic disc pallor in fundus photographs and its association with peripapillary RNFL thickness
  87. On Elastic Language Models
  88. Optical Quantum Sensing for Agnostic Environments via Deep Learning
  89. Real-Time Machine-Learning-Based Optimization Using Input Convex Long Short-Term Memory Network
  90. Exploring the Factual Consistency in Dialogue Comprehension of Large Language Models
  91. Applying Large Language Models for Causal Structure Learning in Non Small Cell Lung Cancer
  92. Fitting tree model with CNN and geodesics to track vesselsand application to Ultrasound Localization Microscopy data
  93. Cross-Axis Transformer with 3D Rotary Positional Embeddings
  94. Knowledge Graph Representations to enhance Intensive Care Time-Series Predictions
  95. Game Solving with Online Fine-Tuning
  96. The High-dimensional Phase Diagram and the Large CALPHAD Model
  97. calamanCy: A Tagalog Natural Language Processing Toolkit
  98. Regenerating Arbitrary Video Sequences with Distillation Path-Finding
  99. STEER: Unified Style Transfer with Expert Reinforcement
  100. NDDepth: Normal-Distance Assisted Monocular Depth Estimation and Completion
  101. Pruning random resistive memory for optimizing analogue AI
  102. Enhancing Lightweight Neural Networks for Small Object Detection in IoT Applications
  103. CycleGANAS: Differentiable Neural Architecture Search for CycleGAN
  104. Developing a Named Entity Recognition Dataset for Tagalog
  105. Detecting As Labeling: Rethinking LiDAR-camera Fusion in 3D Object Detection
  106. Interaction is all You Need? A Study of Robots Ability to Understand and Execute
  107. Learning Symmetrization for Equivariance with Orbit Distance Minimization
  108. SABAF: Removing Strong Attribute Bias from Neural Networks with Adversarial Filtering
  109. Analyzing and Predicting Low-Listenership Trends in a Large-Scale Mobile Health Program: A Preliminary Investigation
  110. Understanding Path Planning Explanations
  111. Multi-agent Attacks for Black-box Social Recommendations
  112. How to Do Machine Learning with Small Data? -- A Review from an Industrial Perspective
  113. Attention-Challenging Multiple Instance Learning for Whole Slide Image Classification
  114. Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions
  115. Novel models for fatigue life prediction under wideband random loads based on machine learning
  116. SpectralGPT: Spectral Remote Sensing Foundation Model
  117. Adversarial Purification for Data-Driven Power System Event Classifiers with Diffusion Models
  118. Fovea Transformer: Efficient Long-Context Modeling with Structured Fine-to-Coarse Attention
  119. Explanation-aware Soft Ensemble Empowers Large Language Model In-context Learning
  120. A Comprehensive Study on the Effectiveness of ASR Representations for Noise-Robust Speech Emotion Recognition
  121. To Tell The Truth: Language of Deception and Language Models
  122. CLiF-VQA: Enhancing Video Quality Assessment by Incorporating High-Level Semantic Information related to Human Feelings
  123. Sample Dominance Aware Framework via Non-Parametric Estimation for Spontaneous Brain-Computer Interface
  124. GazeForensics: DeepFake Detection via Gaze-guided Spatial Inconsistency Learning
  125. Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges
  126. The Impact of Generative Artificial Intelligence on Market Equilibrium: Evidence from a Natural Experiment
  127. Context Consistency between Training and Testing in Simultaneous Machine Translation
  128. On non-approximability of zero loss global mathcal L2 minimizers by gradient descent in Deep Learning
  129. Prompts have evil twins
  130. STATGRAPH: Effective In-vehicle Intrusion Detection via Multi-view Statistical Graph Learning
  131. Towards the Law of Capacity Gap in Distilling Language Models
  132. L0-Sampler: An L0 Model Guided Volume Sampling for NeRF
  133. Open-Vocabulary Video Anomaly Detection
  134. Phonological Level wav2vec2-based Mispronunciation Detection and Diagnosis Method
  135. TTMFN: Two-stream Transformer-based Multimodal Fusion Network for Survival Prediction
  136. ExpNote: Black-box Large Language Models are Better Task Solvers with Experience Notebook
  137. Embarassingly Simple Dataset Distillation
  138. ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
  139. A PAC-Bayesian Perspective on the Interpolating Information Criterion
  140. Context-dependent Instruction Tuning for Dialogue Response Generation
  141. PICS in Pics: Physics Informed Contour Selection for Rapid Image Segmentation
  142. AGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification
  143. State-of-the-art review and synthesis: A requirement-based roadmap for standardized predictive maintenance automation using digital twin technologies