mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 30 Jan 2025

256 papers

  1. Retrieval Augmented Generation Based LLM Evaluation For Protocol State Machine Inference With Chain-of-Thought ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning +2
  2. Distillation-Driven Diffusion Model for Multi-Scale MRI Super-Resolution: Make 1.5T MRI Great AgainDiffusion models → Medical imaging and segmentation
  3. Integrating LMM Planners and 3D Skill Policies for Generalizable ManipulationLLM reasoning → Spatial and embodied reasoning +1
  4. Strong and Controllable 3D Motion GenerationDiffusion models → Video generation
  5. Large Language Models with Temporal Reasoning for Longitudinal Clinical Summarization and PredictionLLM reasoning → Clinical and biomedical applications
  6. Scaling Policy Gradient Quality-Diversity with Massive Parallelization via Behavioral VariationsDeep reinforcement learning methods → Deep RL algorithms and representations
  7. Human Re-ID Meets LVLMs: What can we expect?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  8. Simulation Streams: A Programming Paradigm for Controlling Large Language Models and Building Complex Systems with Generative AILLM agents and tool use → General LLM agent frameworks and benchmarks
  9. Enhancing Large Language Model Efficiencyvia Symbolic Compression: A Formal Approach Towards InterpretabilityLLM reasoning → Test-time compute and efficient thinking
  10. DiffusionRenderer: Neural Inverse and Forward Rendering with Video Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  11. Thoughts Are All Over the Place: On the Underthinking of o1-Like LLMsLLM reasoning → Test-time compute and efficient thinking
  12. Token-Hungry, Yet Precise: DeepSeek R1 Highlights the Need for Multi-Step Reasoning Over Speed in MATHLLM reasoning → Reasoning benchmarks and evaluation
  13. BounTCHA: A CAPTCHA Utilizing Boundary Identification in Guided Generative AI-extended VideosMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  14. Can we Retrieve Everything All at Once? ARM: An Alignment-Oriented LLM-based Retrieval MethodLLM agents and tool use → Web, search, and research agents
  15. Mini-ResEmoteNet: Leveraging Knowledge Distillation for Human-Centered DesignKnowledge distillation → Multimodal distillation
  16. Rethinking Bottlenecks in Safety Fine-Tuning of Vision Language ModelsLLM reasoning → Reasoning for agents, planning and code +1
  17. Differentially Private Steering for Large Language Model AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  18. Optimal generalisation and learning transition in extensive-width shallow neural networks near interpolationKnowledge distillation → General knowledge distillation methods
  19. WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-TrainingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
  20. HSRMamba: Contextual Spatial-Spectral State Space Model for Single Image Hyperspectral Super-ResolutionState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
  21. GuardReasoner: Towards Reasoning-based LLM SafeguardsLLM reasoning → Reasoning for agents, planning and code +1
  22. Curriculum-based Sample Efficient Reinforcement Learning for Robust Stabilization of a QuadrotorDeep reinforcement learning methods → RL for robot navigation and UAV control
  23. A Tool for In-depth Analysis of Code Execution Reasoning of Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
  24. A Benchmark and Evaluation for Real-World Out-of-Distribution Detection Using Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  25. CALM: Unleashing the Cross-Lingual Self-Aligning Ability of Language Model Question AnsweringLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  26. o3-mini vs DeepSeek-R1: Which One is Safer?LLM reasoning → Reasoning for agents, planning and code
  27. SANA 1.5: Efficient Scaling of Training-Time and Inference-Time Compute in Linear Diffusion TransformerLLM reasoning → Diffusion reasoning and test-time scaling +1
  28. Exploring Potential Prompt Injection Attacks in Federated Military LLMs and Their MitigationLLM safety and security → Prompt injection and agent security
  29. MatIR: A Hybrid Mamba-Transformer Image Restoration ModelState-space sequence models (S4, Mamba) → Mamba for image restoration
  30. RbFT: Robust Fine-tuning for Retrieval-Augmented Generation against Retrieval DefectsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  31. State Stream Transformer (SST) : Emergent Metacognitive Behaviours Through Latent State PersistenceLLM reasoning → Test-time compute and efficient thinking
  32. Leveraging LLM Agents for Automated Optimization Modeling for SASP Problems: A Graph-RAG based ApproachLLM agents and tool use → General LLM agent frameworks and benchmarks
  33. AGAV-Rater: Adapting Large Multimodal Model for AI-Generated Audio-Visual Quality AssessmentMultimodal LLMs / vision-language models → Image editing and quality assessment
  34. Model-Free RL Agents Demonstrate System 1-Like IntentionalityDeep reinforcement learning methods → Interpretable and logic-guided RL
  35. Leveraging Sparsity for Sample-Efficient Preference Learning: A Theoretical PerspectiveLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  36. Jailbreaking LLMs' Safeguard with Universal Magic Words for Text Embedding ModelsLLM safety and security → Jailbreaking
  37. Vision-Language Model Selection and Reuse for Downstream AdaptationMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  38. Neural Operator based Reinforcement Learning for Control of first-order PDEs with Spatially-Varying State DelayDeep reinforcement learning methods → RL theory and sample complexity
  39. Investigating Tax Evasion Emergence Using Dual Large Language Model and Deep Reinforcement Learning Powered Agent-based SimulationLLM agents and tool use → Social simulation and multi-agent debate
  40. RepoAudit: An Autonomous LLM-Agent for Repository-Level Code AuditingLLM agents and tool use → Software engineering coding agents
  41. B3C: A Minimalist Approach to Offline Multi-Agent Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  42. Diverse Preference OptimizationLLM reasoning → Reinforcement learning for reasoning +2
  43. Learning to Plan & Reason for Evaluation with Thinking-LLM-as-a-JudgeLLM reasoning → Reasoning benchmarks and evaluation
  44. Reward Prediction Error Prioritisation in Experience Replay: The RPE-PER MethodDeep reinforcement learning methods → Deep RL algorithms and representations
  45. DIAL: Distribution-Informed Adaptive Learning of Multi-Task Constraints for Safety-Critical SystemsDeep reinforcement learning methods → Safe and constrained RL
  46. ChatGPT vs. DeepSeek: A Comparative Study on AI-Based Code Generation
  47. MLScent A tool for Anti-pattern detection in ML projects
  48. Scalable and Cost-Efficient ML Inference: Parallel Batch Processing with Serverless Functions
  49. Evolving Hard Maximum Cut Instances for Quantum Approximate Optimization Algorithms
  50. Analyzing Geospatial and Socioeconomic Disparities in Breast Cancer Screening Among Populations in the United States: Machine Learning Approach
  51. Predicting concentration levels of air pollutants by transfer learning and recurrent neural network
  52. Hybrid Group Relative Policy Optimization: A Multi-Sample Approach to Enhancing Policy Optimization
  53. Fine-tuning LLaMA 2 interference: a comparative study of language implementations for optimal efficiency
  54. Blood Glucose Level Prediction in Type 1 Diabetes Using Machine Learning
  55. Evaluating Large Language Models in Vulnerability Detection Under Variable Context Windows
  56. A Multi-Layered Large Language Model Framework for Disease Prediction
  57. From Data to Action: Charting A Data-Driven Path to Combat Antimicrobial Resistance
  58. Israel-Hamas war through Telegram, Reddit and Twitter
  59. Large Language Models are Few-shot Multivariate Time Series Classifiers
  60. Zero-Shot Novel View and Depth Synthesis with Multi-View Geometric Diffusion
  61. Deceptive Sequential Decision-Making via Regularized Policy Optimization
  62. Every Image Listens, Every Image Dances: Music-Driven Image Animation
  63. Targeted Data Fusion for Region-Specific Survival Effects in the AMP HIV Prevention Trials
  64. Compositional Generalization via Forced Rendering of Disentangled Latents
  65. Rope to Nope and Back Again: A New Hybrid Attention Strategy
  66. Survey and Improvement Strategies for Gene Prioritization with Large Language Models
  67. OT-Transformer: A Continuous-time Transformer Architecture with Optimal Transport Regularization
  68. Bayesian Optimization with Preference Exploration using a Monotonic Neural Network Ensemble
  69. Achieving widetildeO(√T) Regret in Average-Reward POMDPs with Known Observation Models
  70. On the Theory of Bias Tuning in Event Cameras
  71. Multispectral 3D mapping on a Roman sculpture to study ancient polychromy
  72. Successor-Generator Planning with LLM-generated Heuristics
  73. RUN: Reversible Unfolding Network for Concealed Object Segmentation
  74. PSO-Net: Development of an automated psoriasis assessment system using attention-based interpretable deep neural networks
  75. Navigating the Fragrance space Via Graph Generative Models And Predicting Odors
  76. Beyond Short Steps in Frank-Wolfe Algorithms
  77. Overestimation in LLM Evaluation: A Controlled Large-Scale Study on Data Contamination's Impact on Machine Translation
  78. Diversity By Design: Leveraging Distribution Matching for Offline Model-Based Optimization
  79. Breaking the Fake News Barrier: Deep Learning Approaches in Bangla Language
  80. Probabilistic Joint Recovery Method for CO2 Plume Monitoring
  81. A New Statistical Approach to the Performance Analysis of Vision-based Localization
  82. A Unified Framework for Entropy Search and Expected Improvement in Bayesian Optimization
  83. INT: Instance-Specific Negative Mining for Task-Generic Promptable Segmentation
  84. Revisiting Projection-based Data Transfer for Cross-Lingual Named Entity Recognition in Low-Resource Languages
  85. Synthetic Data Generation for Augmenting Small Samples
  86. Beyond Message Passing: Neural Graph Pattern Machine
  87. Examining the Robustness of Large Language Models across Language Complexity
  88. STaleX: A Spatiotemporal-Aware Adaptive Auto-scaling Framework for Microservices
  89. Evaluating Spoken Language as a Biomarker for Automated Screening of Cognitive Impairment
  90. Motion Diffusion Autoencoders: Enabling Attribute Manipulation in Human Motion Demonstrated on Karate Techniques
  91. Exploring Audio Editing Features as User-Centric Privacy Defenses Against Large Language Model(LLM) Based Emotion Inference Attacks
  92. Full-Head Segmentation of MRI with Abnormal Brain Anatomy: Model and Data Release
  93. chebgreen: Learning and Interpolating Continuous Empirical Green's Functions from Data
  94. Invisible Traces: Using Hybrid Fingerprinting to identify underlying LLMs in GenAI Apps
  95. Combining physics-based and data-driven models: advancing the frontiers of research with Scientific Machine Learning
  96. STAN: Smooth Transition Autoregressive Networks
  97. Regularized second-order optimization of tensor-network Born machines
  98. Unpaired Translation of Point Clouds for Modeling Detector Response
  99. Drag Your Gaussian: Effective Drag-Based Editing with Score Distillation for 3D Gaussian Splatting
  100. Machine Learning Strategies for Parkinson Tremor Classification Using Wearable Sensor Data
All 256
  1. High-Accuracy ECG Image Interpretation using Parameter-Efficient LoRA Fine-Tuning with Multimodal LLaMA 3.2
  2. The Pitfalls of "Security by Obscurity" And What They Mean for Transparent AI
  3. Structure Development in List-Sorting Transformers
  4. BARNN: A Bayesian Autoregressive and Recurrent Neural Network
  5. Rethinking the Upsampling Layer in Hyperspectral Image Super Resolution
  6. Joint Optimization of Prompt Security and System Performance in Edge-Cloud LLM Systems
  7. SAFL: Structure-Aware Personalized Federated Learning via Client-Specific Clustering and SCSI-Guided Model Pruning
  8. Cogito, ergo sum: A Neurobiologically-Inspired Cognition-Memory-Growth System for Code Generation
  9. DeltaLLM: Compress LLMs with Low-Rank Deltas between Shared Weights
  10. ROSA: Reconstructing Object Shape and Appearance Textures by Adaptive Detail Transfer
  11. Foundational Models for 3D Point Clouds: A Survey and Outlook
  12. Diffusion Autoencoders are Scalable Image Tokenizers
  13. Advances in Multimodal Adaptation and Generalization: From Traditional Approaches to Foundation Models
  14. Inkspire: Supporting Design Exploration with Generative AI through Analogical Sketching
  15. A Control Perspective on Training PINNs
  16. Bias-variance decompositions: the exclusive privilege of Bregman divergences
  17. Node Classification and Search on the Rubik's Cube Graph with GNNs
  18. R.I.P.: Better Models by Survival of the Fittest Prompts
  19. Prediction-Powered Inference with Imputed Covariates and Nonuniform Sampling
  20. No Equations Needed: Learning System Dynamics Without Relying on Closed-Form ODEs
  21. Bandits with Anytime Knapsacks
  22. UDC-VIT: A Real-World Video Dataset for Under-Display Cameras
  23. Learning Priors of Human Motion With Vision Transformers
  24. Semantic Web and Creative AI -- A Technical Report from ISWS 2023
  25. Loss Functions and Operators Generated by f-Divergences
  26. A Hybrid Data-Driven Approach For Analyzing And Predicting Inpatient Length Of Stay In Health Centre
  27. Graph Learning for Bidirectional Disease Contact Tracing on Real Human Mobility Data
  28. Joint Learning of Energy-based Models and their Partition Function
  29. Neural Discovery in Mathematics: Do Machines Dream of Colored Planes?
  30. Integrating Spatial and Frequency Information for Under-Display Camera Image Restoration
  31. Streaming DiLoCo with overlapping communication: Towards a Distributed Free Lunch
  32. Reframing Dense Action Detection (RefDense): A Paradigm Shift in Problem Solving & a Novel Optimization Strategy
  33. CLEAR: Cue Learning using Evolution for Accurate Recognition Applied to Sustainability Data Extraction
  34. Beyond Prior Limits: Addressing Distribution Misalignment in Particle Filtering
  35. Runway vs. Taxiway: Challenges in Automated Line Identification and Notation Approaches
  36. Track-On: Transformer-based Online Point Tracking with Memory
  37. SimpleDepthPose: Fast and Reliable Human Pose Estimation with RGBD-Images
  38. CLoQ: Enhancing Fine-Tuning of Quantized LLMs via Calibrated LoRA Initialization
  39. Tuning Vision Foundation Model via Test-Time Prompt-Guided Training for VFSS Segmentations
  40. Resampling Filter Design for Multirate Neural Audio Effect Processing
  41. Beyond Instructed Tasks: Recognizing In-the-Wild Reading Behaviors in the Classroom Using Eye Tracking
  42. adabmDCA 2.0 -- a flexible but easy-to-use package for Direct Coupling Analysis
  43. Conversation Games and a Strategic View of the Turing Test
  44. Transfer Learning for Keypoint Detection in Low-Resolution Thermal TUG Test Images
  45. Clustering Properties of Self-Supervised Learning
  46. Autonomy and Safety Assurance in the Early Development of Robotics and Autonomous Systems
  47. Adaptive Object Detection for Indoor Navigation Assistance: A Performance Evaluation of Real-Time Algorithms
  48. From Public Square to Echo Chamber: The Fragmentation of Online Discourse
  49. MolGraph-xLSTM: A graph-based dual-level xLSTM framework with multi-head mixture-of-experts for enhanced molecular representation and interpretability
  50. GENIE: Generative Note Information Extraction model for structuring EHR data
  51. Solving Drone Routing Problems with Quantum Computing: A Hybrid Approach Combining Quantum Annealing and Gate-Based Paradigms
  52. Guaranteed prediction sets for functional surrogate models
  53. DeepExtractor: Time-domain reconstruction of signals and glitches in gravitational wave data with deep learning
  54. Task-based Regularization in Penalized Least-Squares for Binary Signal Detection Tasks in Medical Image Denoising
  55. Real-Time Anomaly Detection with Synthetic Anomaly Monitoring (SAM)
  56. Consensus statement on the credibility assessment of ML predictors
  57. GBFRS: Robust Fuzzy Rough Sets via Granular-ball Computing
  58. Gravity-Bench-v1: A Benchmark on Gravitational Physics Discovery for Agents
  59. Segmentation of cracks in 3d images of fiber reinforced concrete using deep learning
  60. Efficient Transformer for High Resolution Image Motion Deblurring
  61. Improved Replicable Boosting with Majority-of-Majorities
  62. Implicit Riemannian Optimism with Applications to Min-Max Problems
  63. Cracks in concrete
  64. Proofs for Folklore Theorems on the Radon-Nikodym Derivative
  65. Function Encoders: A Principled Approach to Transfer Learning in Hilbert Spaces
  66. A Cartesian Encoding Graph Neural Network for Crystal Structures Property Prediction: Application to Thermal Ellipsoid Estimation
  67. A Learnable Multi-views Contrastive Framework with Reconstruction Discrepancy for Medical Time-Series
  68. Exploring the Noise Robustness of Online Conformal Prediction
  69. MedXpertQA: Benchmarking Expert-Level Medical Reasoning and Understanding
  70. Video-based Surgical Tool-tip and Keypoint Tracking using Multi-frame Context-driven Deep Learning Models
  71. Contextual Online Decision Making with Infinite-Dimensional Functional Regression
  72. Contrastive Learning Meets Pseudo-label-assisted Mixup Augmentation: A Comprehensive Graph Representation Framework from Local to Global
  73. Transfer Learning of Surrogate Models: Integrating Domain Warping and Affine Transformations
  74. Unfaithful Probability Distributions in Binary Triple of Causality Directed Acyclic Graph
  75. Stream-Based Monitoring of Algorithmic Fairness
  76. Virtual Full-stack Scanning of Brain MRI via Imputing Any Quantised Code
  77. A Video-grounded Dialogue Dataset and Metric for Event-driven Activities
  78. A Unified Perspective on the Dynamics of Deep Transformers
  79. Surface Defect Identification using Bayesian Filtering on a 3D Mesh
  80. Simulation of microstructures and machine learning
  81. ProofAug: Efficient Neural Theorem Proving via Fine-grained Proof Structure Analysis
  82. Update Estimation and Scheduling for Over-the-Air Federated Learning with Energy Harvesting Devices
  83. Broadening Ontologization Design: Embracing Data Pipeline Strategies
  84. A Comprehensive Analysis on Machine Learning based Methods for Lung Cancer Level Classification
  85. Citation Recommendation based on Argumentative Zoning of User Queries
  86. CueTip: An Interactive and Explainable Physics-aware Pool Assistant
  87. Normalizing flows for SU(N) gauge theories employing singular value decomposition
  88. Mining for Species, Locations, Habitats, and Ecosystems from Scientific Papers in Invasion Biology: A Large-Scale Exploratory Study with Large Language Models
  89. Random Feature Representation Boosting
  90. ReactEmbed: A Plug-and-Play Module for Unifying Protein-Molecule Representations Guided by Biochemical Reaction Networks
  91. Sebra: Debiasing Through Self-Guided Bias Ranking
  92. The iToBoS dataset: skin region images extracted from 3D total body photographs for lesion detection
  93. MAMS: Model-Agnostic Module Selection Framework for Video Captioning
  94. Reducing Aleatoric and Epistemic Uncertainty through Multi-modal Data Acquisition
  95. Efficiency and Effectiveness of LLM-Based Summarization of Evidence in Crowdsourced Fact-Checking
  96. PDE-DKL: PDE-constrained deep kernel learning in high dimensionality
  97. How to Select Datapoints for Efficient Human Evaluation of NLG Models?
  98. Ground Awareness in Deep Learning for Large Outdoor Point Cloud Segmentation
  99. Statistical multi-metric evaluation and visualization of LLM system predictive performance
  100. Arbitrary Data as Images: Fusion of Patient Data Across Modalities and Irregular Intervals with Vision Transformers
  101. Free-T2M: Robust Text-to-Motion Generation for Humanoid Robots via Frequency-Domain
  102. Exploring Large Protein Language Models in Constrained Evaluation Scenarios within the FLIP Benchmark
  103. Revisiting PsiDONet: microlocally inspired filters for incomplete-data tomographic reconstructions
  104. Contextually Structured Token Dependency Encoding for Large Language Models
  105. On Scaling Neurosymbolic Programming through Guided Logical Inference
  106. HKAN: Hierarchical Kolmogorov-Arnold Network without Backpropagation
  107. Fundamental Challenges in Evaluating Text2SQL Solutions and Detecting Their Limitations
  108. GDformer: Going Beyond Subsequence Isolation for Multivariate Time Series Anomaly Detection
  109. Machine Learning Fairness for Depression Detection using EEG Data
  110. Economic Rationality under Specialization: Evidence of Decision Bias in AI Agents
  111. Neural Network Modeling of Microstructure Complexity Using Digital Libraries
  112. On the Role of Transformer Feed-Forward Layers in Nonlinear In-Context Learning
  113. Genetic Algorithm with Innovative Chromosome Patterns in the Breeding Process
  114. Decentralized Projection-free Online Upper-Linearizable Optimization with Applications to DR-Submodular Optimization
  115. Estimating Multi-chirp Parameters using Curvature-guided Langevin Monte Carlo
  116. Advancing Personalized Federated Learning: Integrative Approaches with AI for Enhanced Privacy and Customization
  117. Continually Evolved Multimodal Foundation Models for Cancer Prognosis
  118. Scattering approach to diffusion quantifies axonal damage in brain injury
  119. Faster Convergence of Riemannian Stochastic Gradient Descent with Increasing Batch Size
  120. IROAM: Improving Roadside Monocular 3D Object Detection Learning from Autonomous Vehicle Data Domain
  121. Using Computer Vision for Skin Disease Diagnosis in Bangladesh Enhancing Interpretability and Transparency in Deep Learning Models for Skin Cancer Classification
  122. Large Language Models for Cryptocurrency Transaction Analysis: A Bitcoin Case Study
  123. Efficient Audiovisual Speech Processing via MUTUD: Multimodal Training and Unimodal Deployment
  124. Mixed-Precision Graph Neural Quantization for Low Bit Large Language Models
  125. Double-Bounded Nonlinear Optimal Transport for Size Constrained Min Cut Clusterin
  126. Tensor Completion for Surrogate Modeling of Material Property Prediction
  127. Entropy-Synchronized Neural Hashing for Unsupervised Ransomware Detection
  128. Revisiting gender bias research in bibliometrics: Standardizing methodological variability using Scholarly Data Analysis (SoDA) Cards
  129. Unraveling the Capabilities of Language Models in News Summarization
  130. HyperZero: A Customized End-to-End Auto-Tuning System for Recommendation with Hourly Feedback
  131. REMOTE: Real-time Ego-motion Tracking for Various Endoscopes via Multimodal Visual Feature Learning
  132. Battery State of Health Estimation Using LLM Framework
  133. VQLTI: Long-Term Tropical Cyclone Intensity Forecasting with Physical Constraints
  134. Optimal Survey Design for Private Mean Estimation
  135. Self-supervised Quantized Representation for Seamlessly Integrating Knowledge Graphs with Large Language Models
  136. DeepFRC: An End-to-End Deep Learning Model for Functional Registration and Classification
  137. A spectral clustering-type algorithm for the consistent estimation of the Hurst distribution in moderately high dimensions
  138. DCatalyst: A Unified Accelerated Framework for Decentralized Optimization
  139. ACTGNN: Assessment of Clustering Tendency with Synthetically-Trained Graph Neural Networks
  140. Lifelong 3D Mapping Framework for Hand-held & Robot-mounted LiDAR Mapping Systems
  141. Influence of High-Performance Image-to-Image Translation Networks on Clinical Visual Assessment and Outcome Prediction: Utilizing Ultrasound to MRI Translation in Prostate Cancer
  142. Investigating an Intelligent System to Monitor & Explain Abnormal Activity Patterns of Older Adults
  143. Scaling Inference-Efficient Language Models
  144. Beyond Turn-taking: Introducing Text-based Overlap into Human-LLM Interactions
  145. Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation
  146. Disentangling Safe and Unsafe Corruptions via Anisotropy and Locality
  147. LLMs can see and hear without any training
  148. AlphaAdam:Asynchronous Masked Optimization with Dynamic Alpha for Selective Updates
  149. Learning Provably Improves the Convergence of Gradient Descent
  150. ISAM-MTL: Cross-subject multi-task learning model with identifiable spikes and associative memory networks
  151. U-aggregation: Unsupervised Aggregation of Multiple Learning Algorithms
  152. Normative Evaluation of Large Language Models with Everyday Moral Dilemmas
  153. Input layer regularization and automated regularization hyperparameter tuning for myelin water estimation using deep learning
  154. Towards Transparent and Accurate Diabetes Prediction Using Machine Learning and Explainable Artificial Intelligence
  155. Learning Metal Microstructural Heterogeneity through Spatial Mapping of Diffraction Latent Space Features
  156. FinanceQA: A Benchmark for Evaluating Financial Analysis Capabilities of Large Language Models