mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 20 May 2024

240 papers

  1. Uncovering Logit Suppression Vulnerabilities in LLM Safety AlignmentLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  2. Can Github issues be solved with Tree Of Thoughts?LLM reasoning → Reasoning for agents, planning and code
  3. A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  4. GeoMask3D: Geometrically Informed Mask Selection for Self-Supervised Point Cloud Learning in 3DKnowledge distillation → Detection and dense prediction distillation
  5. Diffusion for World Modeling: Visual Details Matter in AtariWorld models → Latent dynamics models and model-based RL +1
  6. Question-Based Retrieval using Atomic Units for Enterprise RAGRetrieval-augmented generation → RAG pipeline design and evaluation
  7. Investigating the Impact of Choice on Deep Reinforcement Learning for Space ControlsDeep reinforcement learning methods → RL for robot navigation and UAV control
  8. A Study on Optimization Techniques for Variational Quantum Circuits in Reinforcement LearningDeep reinforcement learning methods → Quantum reinforcement learning
  9. Continual Deep Reinforcement Learning for Decentralized Satellite RoutingDeep reinforcement learning methods → RL for robot navigation and UAV control
  10. Mammo-CLIP: A Vision Language Foundation Model to Enhance Data Efficiency and Robustness in MammographyMultimodal LLMs / vision-language models → Medical vision-language models
  11. Images that Sound: Composing Images and Sounds on a Single CanvasDiffusion models → Audio, speech and music
  12. Adapting Large Multimodal Models to Distribution Shifts: The Role of In-Context LearningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  13. Octo: An Open-Source Generalist Robot PolicyVision-language-action models → Reinforcement learning and post-training
  14. Slicedit: Zero-Shot Video Editing With Text-to-Image Diffusion Models Using Spatio-Temporal SlicesDiffusion models → Video generation
  15. Metacognitive Capabilities of LLMs: An Exploration in Mathematical Problem SolvingLLM reasoning → Mathematical reasoning
  16. Imp: Highly Capable Large Multimodal Models for Mobile DevicesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  17. Is Mamba Compatible with Trajectory Optimization in Offline Reinforcement Learning?State-space sequence models (S4, Mamba) → Video, motion and generative Mamba models +1
  18. STYLE: Improving Domain Transferability of Asking Clarification Questions in Large Language Model Powered Conversational AgentsLLM agents and tool use → Web, search, and research agents
  19. KG-RAG: Bridging the Gap Between Knowledge and CreativityRetrieval-augmented generation → Agentic RAG, agents and memory +1
  20. Mamba-in-Mamba: Centralized Mamba-Cross-Scan in Tokenized Mamba Model for Hyperspectral Image ClassificationState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
  21. Compositionally Safe Construction of Autonomous Driving SystemsEnd-to-end autonomous driving → Adversarial scenarios and safety testing
  22. Robust Deep Reinforcement Learning with Adaptive Adversarial Perturbations in Action SpaceDeep reinforcement learning methods → Adversarial robustness and RL in finance
  23. Nonequilbrium physics of generative diffusion modelsDiffusion models → Diffusion foundations and sampling
  24. Diff-BGM: A Diffusion Model for Video Background Music GenerationDiffusion models → Audio, speech and music
  25. ARAIDA: Analogical Reasoning-Augmented Interactive Data AnnotationLLM reasoning → Reasoning benchmarks and evaluation
  26. Ensemble and Mixture-of-Experts DeepONets For Operator LearningMixture-of-experts → MoE theory and gating functions
  27. Out-of-Distribution Detection with a Single Unconditional Diffusion ModelDiffusion models → Medical imaging and segmentation
  28. Quantifying In-Context Reasoning Effects and Memorization Effects in LLMsLLM reasoning → Reasoning benchmarks and evaluation
  29. Intuitive Fine-Tuning: Towards Simplifying Alignment into a Single ProcessLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  30. Evolving Storytelling: Benchmarks and Methods for New Character Customization with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  31. Rethinking Overlooked Aspects in Vision-Language ModelsLLM reasoning → Multimodal reasoning +1
  32. Demo Paper: A Game Agents Battle Driven by Free-Form Text Commands Using Code-Generation LLMLLM agents and tool use → Reinforcement learning for LLM agents
  33. SSAMBA: Self-Supervised Audio Representation Learning with Mamba State Space ModelState-space sequence models (S4, Mamba) → Speech and audio SSMs
  34. Stereo-Knowledge Distillation from dpMV to Dual Pixels for Light Field Video ReconstructionKnowledge distillation → Detection and dense prediction distillation
  35. (Perhaps) Beyond Human Translation: Harnessing Multi-Agent Collaboration for Translating Ultra-Long Literary TextsLLM agents and tool use → General LLM agent frameworks and benchmarks
  36. ViViD: Video Virtual Try-on using Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  37. TinyLLaVA Factory: A Modularized Codebase for Small-scale Large Multimodal ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  38. Reward-Punishment Reinforcement Learning with Maximum EntropyDeep reinforcement learning methods → RL theory and sample complexity
  39. Versatile Teacher: A Class-aware Teacher-student Framework for Cross-domain AdaptationKnowledge distillation → Detection and dense prediction distillation
  40. Learning Future Representation with Synthetic Observations for Sample-efficient Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  41. Diffusion Models for Generating Ballistic Spacecraft TrajectoriesDiffusion models → Diffusion and flow policies for robotics
  42. Highway Graph to Accelerate Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
  43. Feasibility Consistent Representation Learning for Safe Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
  44. OpenRLHF: An Easy-to-use, Scalable and High-performance RLHF FrameworkLLM reasoning → Reinforcement learning for reasoning +1
  45. A Multi-Modal Explainability Approach for Human-Aware Robots in Multi-Party Conversation
  46. Generative AI Empowered LiDAR Point Cloud Generation with Multimodal Transformer
  47. Refining 3D Point Cloud Normal Estimation via Sample Selection
  48. Role of Dependency Distance in Text Simplification: A Human vs ChatGPT Simplification Comparison
  49. Naming the Pain in Machine Learning-Enabled Systems Engineering
  50. Thesis: Document Summarization with applications to Keyword extraction and Image Retrieval
  51. FINED: Feed Instance-Wise Information Need with Essential and Disentangled Parametric Knowledge from the Past
  52. DisCo: Towards Harmonious Disentanglement and Collaboration between Tabular and Semantic Space for Recommendation
  53. Comparing ImageNet Pre-training with Digital Pathology Foundation Models for Whole Slide Image-Based Survival Analysis
  54. On margin-based generalization prediction in deep neural networks
  55. Ensuring Ground Truth Accuracy in Healthcare with the EVINCE framework
  56. Transfer Learning for Spatial Autoregressive Models with Application to U.S. Presidential Election Prediction
  57. Revisiting Day-ahead Electricity Price: Simple Model Save Millions
  58. A distance for mixed-variable and hierarchical domains with meta variables
  59. A Novel Method for News Article Event-Based Embedding
  60. Practical Performance of a Distributed Processing Framework for Machine-Learning-based NIDS
  61. Exploring Teachers' Perception of Artificial Intelligence: The Socio-emotional Deficiency as Opportunities and Challenges in Human-AI Complementarity in K-12 Education
  62. Digital Health and Indoor Air Quality: An IoT-Driven Human-Centred Visualisation Platform for Behavioural Change and Technology Acceptance
  63. A Foundation Model for the Earth System
  64. StatAvg: Mitigating Data Heterogeneity in Federated Learning for Intrusion Detection Systems
  65. RNG: Reducing Multi-level Noise and Multi-grained Semantic Gap for Joint Multimodal Aspect-Sentiment Analysis
  66. The AI Community Building the Future? A Quantitative Analysis of Development Activity on Hugging Face Hub
  67. Large language models for newspaper sentiment analysis during COVID-19: The Guardian
  68. Large Language Models for Medicine: A Survey
  69. GarmentDreamer: 3DGS Guided Garment Synthesis with Diverse Geometry and Texture Details
  70. Targeted Multilingual Adaptation for Low-resource Language Families
  71. Assessing the Probabilistic Fit of Neural Regressors via Conditional Congruence
  72. ASMR: Activation-sharing Multi-resolution Coordinate Networks For Efficient Inference
  73. Automated Anomaly Detection on European XFEL Klystrons
  74. A Metric-based Principal Curve Approach for Learning One-dimensional Manifold
  75. Conformal Counterfactual Inference under Hidden Confounding
  76. Particle swarm optimization with Applications to Maximum Likelihood Estimation and Penalized Negative Binomial Regression
  77. Vulnerability Detection in C/C++ Code with Deep Learning
  78. Stochastic Reservoir Computers
  79. Fast meta-solvers for 3D complex-shape scatterers using neural operators trained on a non-scattering problem
  80. Spatio-temporal Attention-based Hidden Physics-informed Neural Network for Remaining Useful Life Prediction
  81. DispaRisk: Auditing Fairness Through Usable Information
  82. AtomGS: Atomizing Gaussian Splatting for High-Fidelity Radiance Field
  83. Layout Agnostic Human Activity Recognition in Smart Homes through Textual Descriptions Of Sensor Triggers (TDOST)
  84. Large-Scale Multi-Center CT and MRI Segmentation of Pancreas with Deep Learning
  85. Paired Conditional Generative Adversarial Network for Highly Accelerated Liver 4D MRI
  86. Coarse-graining conformational dynamics with multi-dimensional generalized Langevin equation: how, when, and why
  87. TinyM2Net-V3: Memory-Aware Compressed Multimodal Deep Neural Networks for Sustainable Edge Deployment
  88. Cascade-based Randomization for Inferring Causal Effects under Diffusion Interference
  89. Multi-dimension Transformer with Attention-based Filtering for Medical Image Segmentation
  90. Beyond Item Dissimilarities: Diversifying by Intent in Recommender Systems
  91. Overlap Number of Balls Model-Agnostic CounterFactuals (ONB-MACF): A Data-Morphology-based Counterfactual Generation Method for Trustworthy Artificial Intelligence
  92. Dynamic Line Rating using Hyper-local Weather Predictions: A Machine Learning Approach
  93. Hierarchical SegNet with Channel and Context Attention for Accurate Lung Segmentation in Chest X-ray Images
  94. Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators
  95. Deep learning-based hyperspectral image reconstruction for quality assessment of agro-product
  96. A Principled Approach for Data Bias Mitigation
  97. Accurate Learning of Equivariant Quantum Systems from a Single Ground State
  98. Integration of Scanning Probe Microscope with High-Performance Computing: fixed-policy and reward-driven workflows implementation
  99. Perturbing the Gradient for Alleviating Meta Overfitting
  100. Efficient Model-Stealing Attacks Against Inductive Graph Neural Networks
All 240
  1. EGAN: Evolutional GAN for Ransomware Evasion
  2. SEL-CIE: Knowledge-Guided Self-Supervised Learning Framework for CIE-XYZ Reconstruction from Non-Linear sRGB Images
  3. Directed Metric Structures arising in Large Language Models
  4. Prompt Learning for Generalized Vehicle Routing
  5. EXACT: Towards a platform for empirically benchmarking Machine Learning model explanation methods
  6. Generalization Ability of Feature-based Performance Prediction Models: A Statistical Analysis across Benchmarks
  7. Scientific Hypothesis Generation by a Large Language Model: Laboratory Validation in Breast Cancer Treatment
  8. Enhanced Deterministic Approximation Algorithm for Non-monotone Submodular Maximization under Knapsack Constraint with Linear Query Complexity
  9. MVSGaussian: Fast Generalizable Gaussian Splatting Reconstruction from Multi-View Stereo
  10. MathBench: Evaluating the Theory and Application Proficiency of LLMs with a Hierarchical Mathematics Benchmark
  11. Optimistic Query Routing in Clustering-based Approximate Maximum Inner Product Search
  12. Modeling citation worthiness by using attention-based bidirectional long short-term memory networks and interpretable models
  13. Accelerating Relative Entropy Coding with Space Partitioning
  14. Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution
  15. Multi-View Attentive Contextualization for Multi-View 3D Object Detection
  16. Training Data Attribution via Approximate Unrolled Differentiation
  17. Multi-order Graph Clustering with Adaptive Node-level Weight Learning
  18. PLEIADES: Building Temporal Kernels with Orthogonal Polynomials
  19. Enhancing Explainable AI: A Hybrid Approach Combining GradCAM and LRP for CNN Interpretability
  20. CT-Eval: Benchmarking Chinese Text-to-Table Performance in Large Language Models
  21. State of the Practice for Medical Imaging Software
  22. Fennec: Fine-grained Language Model Evaluation and Correction Extended through Branching and Bridging
  23. Bangladeshi Native Vehicle Detection in Wild
  24. Eliciting Problem Specifications via Large Language Models
  25. DTLLM-VLT: Diverse Text Generation for Visual Language Tracking Based on LLM
  26. MoRA: High-Rank Updating for Parameter-Efficient Fine-Tuning
  27. Alzheimer's Magnetic Resonance Imaging Classification Using Deep and Meta-Learning Models
  28. An Active Learning Framework with a Class Balancing Strategy for Time Series Classification
  29. Reindex-Then-Adapt: Improving Large Language Models for Conversational Recommendation
  30. A New Cross-Space Total Variation Regularization Model for Color Image Restoration with Quaternion Blur Operator
  31. CoR-GS: Sparse-View 3D Gaussian Splatting via Co-Regularization
  32. Linguistic Structure from a Bottleneck on Sequential Information Processing
  33. End-to-End Full-Page Optical Music Recognition for Pianoform Sheet Music
  34. DOP: Diagnostic-Oriented Prompting for Large Language Models in Mathematical Correction
  35. PATE: Proximity-Aware Time series anomaly Evaluation
  36. Channel Balance Interpolation in the Lightning Network via Machine Learning
  37. Noise-tolerant learnability of shallow quantum circuits from statistics and the cost of quantum pseudorandomness
  38. Distributional Semantics, Holism, and the Instability of Meaning
  39. Selective Annotation via Data Allocation: These Data Should Be Triaged to Experts for Annotation Rather Than the Model
  40. AutoSoccerPose: Automated 3D posture Analysis of Soccer Shot Movements
  41. Gaussian Head & Shoulders: High Fidelity Neural Upper Body Avatars with Anchor Gaussian Guided Texture Warping
  42. CLAMBER: A Benchmark of Identifying and Clarifying Ambiguous Information Needs in Large Language Models
  43. NPLMV-PS: Neural Point-Light Multi-View Photometric Stereo
  44. Unveiling factors influencing judgment variation in Sentiment Analysis with Natural Language Processing and Statistics
  45. Parallelization of the K-Means Algorithm with Applications to Big Data Clustering
  46. Energy-Efficient Federated Edge Learning with Streaming Data: A Lyapunov Optimization Approach
  47. Adaptive Convolutional Forecasting Network Based on Time Series Feature-Driven
  48. Can AI Relate: Testing Large Language Model Response for Mental Health Support
  49. Continuous Sign Language Recognition with Adapted Conformer via Unsupervised Pretraining
  50. Statistically Truthful Auctions via Acceptance Rule
  51. Depth Reconstruction with Neural Signed Distance Fields in Structured Light Systems
  52. Scrutinize What We Ignore: Reining In Task Representation Shift Of Context-Based Offline Meta Reinforcement Learning
  53. GGAvatar: Geometric Adjustment of Gaussian Head Avatar
  54. MTVQA: Benchmarking Multilingual Text-Centric Visual Question Answering
  55. A review on the use of large language models as virtual tutors
  56. SM-DTW: Stability Modulated Dynamic Time Warping for signature verification
  57. GuidedRec: Guiding Ill-Posed Unsupervised Volumetric Recovery
  58. Position-Guided Prompt Learning for Anomaly Detection in Chest X-Rays
  59. Data Augmentation for Text-based Person Retrieval Using Large Language Models
  60. Conditional Shift-Robust Conformal Prediction for Graph Neural Network
  61. Recommender Algorithm for Supporting Self-Management of CVD Risk Factors in an Adult Population at Home
  62. Multiple-Choice Questions are Efficient and Robust LLM Evaluators
  63. Exploring Commonalities in Explanation Frameworks: A Multi-Domain Survey Analysis
  64. Shallow Recurrent Decoder for Reduced Order Modeling of Plasma Dynamics
  65. Distinguished In Uniform: Self Attention Vs. Virtual Nodes
  66. WisPerMed at BioLaySumm: Adapting Autoregressive Large Language Models for Lay Summarization of Scientific Articles
  67. FAME-MT Dataset: Formality Awareness Made Easy for Machine Translation Purposes
  68. Biomedical Entity Linking for Dutch: Fine-tuning a Self-alignment BERT Model on an Automatically Generated Wikipedia Corpus
  69. Chasing COMET: Leveraging Minimum Bayes Risk Decoding for Self-Improving Machine Translation
  70. UAV-VisLoc: A Large-scale Dataset for UAV Visual Localization
  71. Data Contamination Calibration for Black-box LLMs
  72. "Set It Up!": Functional Object Arrangement with Compositional Generative Models
  73. Effective Clustering on Large Attributed Bipartite Graphs
  74. MirrorGaussian: Reflecting 3D Gaussians for Reconstructing Mirror Reflections
  75. On Efficient and Statistical Quality Estimation for Data Annotation
  76. Information Leakage from Embedding in Large Language Models
  77. PT43D: A Probabilistic Transformer for Generating 3D Shapes from Single Highly-Ambiguous RGB Images
  78. Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning
  79. CSTA: CNN-based Spatiotemporal Attention for Video Summarization
  80. A Constraint-Enforcing Reward for Adversarial Attacks on Text Classifiers
  81. A comprehensive overview of deep learning techniques for 3D point cloud classification and semantic segmentation
  82. CReMa: Crisis Response through Computational Identification and Matching of Cross-Lingual Requests and Offers Shared on Social Media
  83. Sparse Attention-driven Quality Prediction for Production Process Optimization in Digital Twins
  84. Refining Coded Image in Human Vision Layer Using CNN-Based Post-Processing
  85. Unveiling and Manipulating Prompt Influence in Large Language Models
  86. Vertical Federated Learning Hybrid Local Pre-training
  87. A Novel Cartography-Based Curriculum Learning Method Applied on RoNLI: The First Romanian Natural Language Inference Corpus
  88. xFinder: Large Language Models as Automated Evaluators for Reliable Evaluation
  89. Towards Graph Contrastive Learning: A Survey and Beyond
  90. Depth Prompting for Sensor-Agnostic Depth Estimation
  91. CoNLL#: Fine-grained Error Analysis and a Corrected Test Set for CoNLL-03 English
  92. SEMv3: A Fast and Robust Approach to Table Separation Line Detection
  93. Alternators For Sequence Modeling
  94. EPPS: Advanced Polyp Segmentation via Edge Information Injection and Selective Feature Decoupling
  95. Evaluating and Modeling Social Intelligence: A Comparative Study of Human and AI Capabilities
  96. Improving the Explain-Any-Concept by Introducing Nonlinearity to the Trainable Surrogate Model
  97. Adversarially Diversified Rehearsal Memory (ADRM): Mitigating Memory Overfitting Challenge in Continual Learning
  98. Federated Learning for Time-Series Healthcare Sensing with Incomplete Modalities
  99. FeTT: Continual Class Incremental Learning via Feature Transformation Tuning
  100. A Three-Phase Analysis of Synergistic Effects During Co-pyrolysis of Algae and Wood for Biochar Yield Using Machine Learning
  101. Beyond MLE: Investigating SEARNN for Low-Resourced Neural Machine Translation
  102. Systematic Review on Healthcare Systems Engineering utilizing ChatGPT
  103. Transfer Learning for CSI-based Positioning with Multi-environment Meta-learning
  104. Climatic & Anthropogenic Hazards to the Nasca World Heritage: Application of Remote Sensing, AI, and Flood Modelling
  105. FedCAda: Adaptive Client-Side Optimization for Accelerated and Stable Federated Learning
  106. Distill-then-prune: An Efficient Compression Framework for Real-time Stereo Matching Network on Edge Devices
  107. Counterfactual Explanation-Based Badminton Motion Guidance Generation Using Wearable Sensors
  108. LSEnet: Lorentz Structural Entropy Neural Network for Deep Graph Clustering
  109. Generative AI in Higher Education: A Global Perspective of Institutional Adoption Policies and Guidelines
  110. Application of time-series quantum generative model to financial data
  111. MM-Retinal: Knowledge-Enhanced Foundational Pretraining with Fundus Image-Text Expertise
  112. Guided Multi-objective Generative AI to Enhance Structure-based Drug Design
  113. Property-guided Inverse Design of Metal-Organic Frameworks Using Quantum Natural Language Processing
  114. General bounds on the quality of Bayesian coresets
  115. Efficient Multi-agent Reinforcement Learning by Planning
  116. Exploring Ordinality in Text Classification: A Comparative Study of Explicit and Implicit Techniques
  117. Learning Spatial Similarity Distribution for Few-shot Object Counting
  118. Uni-Mol Docking V2: Towards Realistic and Accurate Binding Pose Prediction
  119. From SHAP Scores to Feature Importance Scores
  120. DATR: Unsupervised Domain Adaptive Detection Transformer with Dataset-Level Adaptation and Prototypical Alignment
  121. Interpretability of Statistical, Machine Learning, and Deep Learning Models for Landslide Susceptibility Mapping in Three Gorges Reservoir Area
  122. Fed-Credit: Robust Federated Learning with Credibility Management
  123. DLAFormer: An End-to-End Transformer For Document Layout Analysis
  124. Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning
  125. Towards Foundation Model for Chemical Reactor Modeling: Meta-Learning with Physics-Informed Adaptation
  126. Asymptotic theory of in-context learning by linear attention
  127. Configurable Mirror Descent: Towards a Unification of Decision Making
  128. A General Theory for Compositional Generalization
  129. What Radio Waves Tell Us about Sleep
  130. Quality assurance of organs-at-risk delineation in radiotherapy
  131. Degree of Irrationality: Sentiment and Implied Volatility Surface
  132. Optimization of Worker Scheduling at Logistics Depots Using Genetic Algorithms and Simulated Annealing
  133. Token-wise Influential Training Data Retrieval for Large Language Models
  134. Inference with non-differentiable surrogate loss in a general high-dimensional classification framework
  135. AI Algorithm for Predicting and Optimizing Trajectory of UAV Swarm
  136. Semantic Trajectory Data Mining with LLM-Informed POI Classification
  137. Adaptive Batch Normalization Networks for Adversarial Robustness
  138. Increasing the LLM Accuracy for Question Answering: Ontologies to the Rescue!
  139. Efficiency optimization of large-scale language models based on deep learning in natural language processing tasks
  140. QComp: A QSAR-Based Data Completion Framework for Drug Discovery