mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 7 Feb 2025

313 papers

  1. Generative Diffusion Model-based Compression of MIMO CSIDiffusion models → Diffusion for compression and wireless
  2. Dynamic Chain-of-Thought: Towards Adaptive Deep ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
  3. Self-Supervised Prompt OptimizationLLM reasoning → Prompting and chain-of-thought reasoning
  4. EAP-GP: Mitigating Saturation Effect in Gradient-based Automated Circuit IdentificationMechanistic interpretability → Circuits and mechanistic analysis
  5. Teacher-student training improves accuracy and efficiency of machine learning interatomic potentialsKnowledge distillation → Graph neural network distillation
  6. Towards LLM Unlearning Resilient to Relearning Attacks: A Sharpness-Aware Minimization Perspective and BeyondLLM safety and security → Machine unlearning
  7. Taming Latency-Memory Trade-Off in MoE-Based LLM Serving via Fine-Grained Expert OffloadingMixture-of-experts → Efficient MoE training and inference systems +1
  8. RAG-Verus: Repository-Level Program Verification with LLMs using Retrieval Augmented GenerationRetrieval-augmented generation → RAG for code
  9. Towards Foundational Models for Dynamical System Reconstruction: Hierarchical Meta-Learning via Mixture of ExpertsMixture-of-experts → MoE theory and gating functions
  10. Can LLMs Rank the Harmfulness of Smaller LLMs? We are Not There YetLLM safety and security → Safety alignment, refusal and guardrails
  11. LLMs Can Teach Themselves to Better Predict the FutureLLM reasoning → Reasoning benchmarks and evaluation +1
  12. GSM-Infinite: How Do Your LLMs Behave over Infinitely Increasing Context Length and Reasoning Complexity?LLM reasoning → Mathematical reasoning
  13. Probabilistic Artificial IntelligenceDeep reinforcement learning methods → RL theory and sample complexity
  14. Koel-TTS: Enhancing LLM based Speech Generation with Preference Alignment and Classifier Free GuidanceLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
  15. Optimizing Temperature for Language Models with Multi-Sample InferenceLLM reasoning → Test-time compute and efficient thinking
  16. Efficient Knowledge Feeding to Language Models: A Novel Integrated Encoder-Decoder ArchitectureRetrieval-augmented generation → Generation and context integration
  17. Long-VITA: Scaling Large Multi-modal Models to 1 Million Tokens with Leading Short-Context AccuracyMultimodal LLMs / vision-language models → Video understanding with MLLMs
  18. Fillerbuster: Unified Generative Scene Completion Model for Casual CapturesDiffusion models → 3D, point cloud and scene generation
  19. MELON: Provable Defense Against Indirect Prompt Injection Attacks in AI AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
  20. Joint MoE Scaling Laws: Mixture of Experts Can Be Memory EfficientMixture-of-experts → MoE theory and gating functions
  21. Scaling up Test-Time Compute with Latent Reasoning: A Recurrent Depth ApproachLLM reasoning → Test-time compute and efficient thinking
  22. Enhancing LLM Safety Through a Theoretical Minimax Game LensLLM safety and security → Safety alignment, refusal and guardrails
  23. Hummingbird: High Fidelity Image Generation via Multimodal Context AlignmentDiffusion models → Image generation, text-to-image and editing
  24. Transforming Science with Large Language Models: A Survey on AI-assisted Scientific Discovery, Experimentation, Content Generation, and EvaluationMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  25. Use of Winsome Robots for Understanding Human Feedback (UWU)LLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  26. Lost in Time: Clock and Calendar Understanding Challenges in Multimodal LLMsMultimodal LLMs / vision-language models → Video understanding with MLLMs
  27. DCFormer: Efficient 3D Vision-Language Modeling with Decomposed ConvolutionsMultimodal LLMs / vision-language models → Medical vision-language models
  28. Adaptive Graph of Thoughts: Test-Time Adaptive Reasoning Unifying Chain, Tree, and Graph StructuresLLM reasoning → Knowledge- and tool-augmented reasoning
  29. Exploring the Generalizability of Geomagnetic Navigation: A Deep Reinforcement Learning approach with Policy DistillationDeep reinforcement learning methods → RL for robot navigation and UAV control
  30. Beautiful Images, Toxic Words: Understanding and Addressing Offensive Text in Generated ImagesDiffusion models → Robustness, privacy and adversarial aspects
  31. nvAgent: Automated Data Visualization from Natural Language via Collaborative Agent WorkflowLLM agents and tool use → Multimodal and embodied agents
  32. Seasonal Station-Keeping of Short Duration High Altitude Balloons using Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
  33. A New Paradigm in Tuning Learned Indexes: A Reinforcement Learning Enhanced ApproachDeep reinforcement learning methods → RL training of language and agent models
  34. AutoOcc: Automatic Open-Ended Semantic Occupancy Annotation via Vision-Language Guided Gaussian SplattingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  35. Prompt Tuning Decision Transformers with Structured and Scalable BanditsOffline RL and imitation learning from data → Decision transformers and sequence modeling +1
  36. Fast Adaptive Anti-Jamming Channel Access via Deep Q Learning and Coarse-Grained Spectrum PredictionDeep reinforcement learning methods → RL for energy, networks and operations
  37. Convergent NMPC-based Reinforcement Learning Using Deep Expected Sarsa and Nonlinear Temporal Difference LearningDeep reinforcement learning methods → RL for autonomous driving and traffic
  38. Goku: Flow Based Video Generative Foundation ModelsDiffusion models → Video generation
  39. Sparse Autoencoders Do Not Find Canonical Units of AnalysisMechanistic interpretability → Sparse autoencoder training and evaluation
  40. Training-free Task-oriented Grasp GenerationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  41. Advancing Wasserstein Convergence Analysis of Score-Based Models: Insights from Discretization and Second-Order AccelerationDiffusion models → Diffusion foundations and sampling
  42. HumanDiT: Pose-Guided Diffusion Transformer for Long-form Human Motion Video GenerationDiffusion models → Video generation
  43. S2-MAD: Breaking the Token Barrier to Enhance Multi-Agent Debate EfficiencyLLM reasoning → Reasoning for agents, planning and code +1
  44. Probing Internal Representations of Multi-Word Verbs in Large Language ModelsMechanistic interpretability → Knowledge and representations inside LLMs
  45. A non-zero-sum game with reinforcement learning under mean-variance frameworkDeep reinforcement learning methods → Adversarial robustness and RL in finance
  46. SiriuS: Self-improving Multi-agent Systems via Bootstrapped ReasoningLLM reasoning → Reasoning for agents, planning and code +2
  47. Behavior-Regularized Diffusion Policy Optimization for Offline Reinforcement LearningDiffusion models → Diffusion and flow policies for robotics +1
  48. SeDi-Instruct: Enhancing Alignment of Language Models through Self-Directed Instruction GenerationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  49. ELITE: Enhanced Language-Image Toxicity Evaluation for SafetyMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  50. Every Software as an Agent: Blueprint and Case StudyLLM agents and tool use → Software engineering coding agents
  51. Generating Symbolic World Models via Test-time Scaling of Large Language ModelsWorld models → World models for language agents +1
  52. Can Diffusion Models Learn Hidden Inter-Feature Rules Behind Images?Diffusion models → Diffusion foundations and sampling
  53. Dynamic Frequency-Adaptive Knowledge Distillation for Speech EnhancementKnowledge distillation → Speech and audio distillation
  54. STRIDE: Automating Reward Design, Deep Reinforcement Learning Training and Feedback Optimization in Humanoid Robotics LocomotionDeep reinforcement learning methods → RL for robot locomotion and manipulation
  55. Learning Strategic Language Agents in the Werewolf Game with Iterative Latent Space Policy OptimizationLLM agents and tool use → Reinforcement learning for LLM agents
  56. Scalable Oversight for Superhuman AI via Recursive Self-CritiquingLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  57. CCS: Controllable and Constrained Sampling with Diffusion Models via Initial Noise PerturbationDiffusion models → Diffusion foundations and sampling
  58. A Comprehensive Review on Noise Control of Diffusion ModelDiffusion models → Diffusion foundations and sampling
  59. Compositional Generalization from Learned Skills via CoT Training: A Theoretical and Structural Analysis for ReasoningLLM reasoning → Prompting and chain-of-thought reasoning
  60. Adversarially-Robust TD Learning with Markovian Data: Finite-Time Rates and Fundamental LimitsDeep reinforcement learning methods → RL theory and sample complexity
  61. Before It's Too Late: A State Space Model for the Early Prediction of Misinformation and Disinformation EngagementState-space sequence models (S4, Mamba) → Core SSM architectures for language
  62. Efficient Weighted Sampling via Score-based Generative ModelsDiffusion models → Diffusion foundations and sampling
  63. Agentic Reasoning: A Streamlined Framework for Enhancing LLM Reasoning with Agentic ToolsLLM reasoning → Reasoning for agents, planning and code +1
  64. Extracting and Understanding the Superficial Knowledge in AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  65. The Alpha-Alternator: Dynamic Adaptation To Varying Noise Levels In Sequences Using The Vendi Score For Improved Robustness and PerformanceState-space sequence models (S4, Mamba) → Core SSM architectures for language
  66. The Mini Wheelbot: A Testbed for Learning-based Balancing, Flips, and Articulated DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  67. Position-aware Automatic Circuit DiscoveryMechanistic interpretability → Circuits and mechanistic analysis
  68. Leveraging Pre-Trained Models for Multimodal Class-Incremental Learning under Adaptive Fusion
  69. AceWGS: An LLM-Aided Framework to Accelerate Catalyst Design for Water-Gas Shift Reactions
  70. Transforming Student Evaluation with Adaptive Intelligence and Performance Analytics
  71. What is Ethical: AIHED Driving Humans or Human-Driven AIHED? A Conceptual Framework enabling the Ethos of AI-driven Higher education
  72. AI Agents Should be Regulated Based on the Extent of Their Autonomous Operations
  73. Detection of LLM-Generated Java Code Using Discretized Nested Bigrams
  74. Detecting Content Rating Violations in Android Applications: A Vision-Language Approach
  75. Comparison of Deep Recurrent Neural Networks and Bayesian Neural Networks for Detecting Electric Motor Damage Through Sound Signal Analysis
  76. Analyzing the Resource Utilization of Lambda Functions on Mobile Devices: Case Studies on Kotlin and Swift
  77. CP-Guard+: A New Paradigm for Malicious Agent Detection and Defense in Collaborative Perception
  78. Representational Alignment with Chemical Induced Fit for Molecular Relational Learning
  79. AutoSketch: VLM-assisted Style-Aware Vector Sketch Completion
  80. LLM-Supported Natural Language to Bash Translation
  81. Gemstones: A Model Suite for Multi-Faceted Scaling Laws
  82. Can Large Language Models Understand Intermediate Representations in Compilers?
  83. Native Fortran Implementation of TensorFlow-Trained Deep and Bayesian Neural Networks
  84. Survey on Vision-Language-Action Models
  85. Model Fusion via Neuron Transplantation
  86. Transfer learning in Scalable Graph Neural Network for Improved Physical Simulation
  87. A Deep Learning Framework Integrating CNN and BiLSTM for Financial Systemic Risk Analysis and Prediction
  88. Prot2Chat: Protein LLM with Early-Fusion of Text, Sequence and Structure
  89. Is attention all you need to solve the correlated electron problem?
  90. NextBestPath: Efficient 3D Mapping of Unseen Environments
  91. LO-BCQ: Block Clustered Quantization for 4-bit (W4A4) LLM Inference
  92. Active Learning of Model Discrepancy with Bayesian Experimental Design
  93. DobLIX: A Dual-Objective Learned Index for Log-Structured Merge Trees
  94. Otter: Generating Tests from Issues to Validate SWE Patches
  95. Detecting APT Malware Command and Control over HTTP(S) Using Contextual Summaries
  96. Hypencoder: Hypernetworks for Information Retrieval
  97. Curse of Dimensionality in Neural Network Optimization
  98. ITBench: Evaluating AI Agents across Diverse Real-World IT Automation Tasks
  99. Deep Generative model that uses physical quantities to generate and retrieve solar magnetic active regions
  100. Contextual Scenario Generation for Two-Stage Stochastic Programming
All 313
  1. Probabilistic Subspace Manifolds for Contextual Inference in Large Language Models
  2. Estimating Voltage Drop: Models, Features and Data Representation Towards a Neural Surrogate
  3. Geometric Machine Learning on EEG Signals
  4. A Tutorial On Intersectionality in Fair Rankings
  5. Removing Neural Signal Artifacts with Autoencoder-Targeted Adversarial Transformers (AT-AT)
  6. Fine-Tuned LLMs are "Time Capsules" for Tracking Societal Bias Through Books
  7. Multi-Class Segmentation of Aortic Branches and Zones in Computed Tomography Angiography: The AortaSeg24 Challenge
  8. From Counterfactuals to Trees: Competitive Analysis of Model Extraction Attacks
  9. Using Federated Machine Learning in Predictive Maintenance of Jet Engines
  10. Towards Fine-grained Renal Vasculature Segmentation: Full-Scale Hierarchical Learning with FH-Seg
  11. Diagonal Symmetrization of Neural Network Solvers for the Many-Electron Schr"odinger Equation
  12. AI/ML-Based Automatic Modulation Recognition: Recent Trends and Future Possibilities
  13. Towards the Development of Balanced Synthetic Data for Correcting Grammatical Errors in Arabic: An Approach Based on Error Tagging Model and Synthetic Data Generating Model
  14. Oracular Programming: A Modular Foundation for Building LLM-Enabled Software
  15. Training Set Reconstruction from Differentially Private Forests: How Effective is DP?
  16. Online Covariance Estimation in Nonsmooth Stochastic Approximation
  17. Decentralized Online Ensembles of Gaussian Processes for Multi-Agent Systems
  18. Parameter Symmetry Potentially Unifies Deep Learning Theory
  19. Quasicyclic Principal Component Analysis
  20. GST-UNet: A Neural Framework for Spatiotemporal Causal Inference with Time-Varying Confounding
  21. Drone Detection and Tracking with YOLO and a Rule-based Method
  22. Fairness and Sparsity within Rashomon sets: Enumeration-Free Exploration and Characterization
  23. Homeomorphism Prior for False Positive and Negative Problem in Medical Image Dense Contrastive Representation Learning
  24. Invizo: Arabic Handwritten Document Optical Character Recognition Solution
  25. Interpretable Failure Detection with Human-Level Concepts
  26. Principles and Components of Federated Learning Architectures
  27. Quantum automated learning with provable and explainable trainability
  28. Evaluating Personality Traits in Large Language Models: Insights from Psychological Questionnaires
  29. Beyond External Monitors: Enhancing Transparency of Large Language Models for Easier Monitoring
  30. Survey on AI-Generated Media Detection: From Non-MLLM to MLLM
  31. Enhancing Knowledge Graph Construction: Evaluating with Emphasis on Hallucination, Omission, and Graph Similarity Metrics
  32. PSM-SQL: Progressive Schema Learning with Multi-granularity Semantics for Text-to-SQL
  33. FlashVideo: Flowing Fidelity to Detail for Efficient High-Resolution Video Generation
  34. QLIP: Text-Aligned Visual Tokenization Unifies Auto-Regressive Multimodal Understanding and Generation
  35. AuraFusion360: Augmented Unseen Region Alignment for Reference-based 360deg Unbounded Scene Inpainting
  36. VideoRoPE: What Makes for Good Video Rotary Position Embedding?
  37. Flopping for FLOPs: Leveraging equivariance for computational efficiency
  38. NoLiMa: Long-Context Evaluation Beyond Literal Matching
  39. Multitwine: Multi-Object Compositing with Text and Layout Control
  40. In-context denoising with one-layer transformers: connections between attention and associative memory retrieval
  41. A Lightweight Method to Disrupt Memorized Sequences in LLM
  42. Efficient distributional regression trees learning algorithms for calibrated non-parametric probabilistic forecasts
  43. Deep Dynamic Probabilistic Canonical Correlation Analysis
  44. CodeSCM: Causal Analysis for Multi-Modal Code Generation
  45. An Annotated Reading of 'The Singer of Tales' in the LLM Era
  46. LP-DETR: Layer-wise Progressive Relations for Object Detection
  47. From Restless to Contextual: A Thresholding Bandit Reformulation For Finite-horizon Improvement
  48. Chest X-ray Foundation Model with Global and Local Representations Integration
  49. Meta Audiobox Aesthetics: Unified Automatic Quality Assessment for Speech, Music, and Sound
  50. Information-Theoretic Guarantees for Recovering Low-Rank Tensors from Symmetric Rank-One Measurements
  51. Data-Parallel Neural Network Training via Nonlinearly Preconditioned Trust-Region Method
  52. Latent Swap Joint Diffusion for 2D Long-Form Latent Generation
  53. Counting Fish with Temporal Representations of Sonar Video
  54. Self-supervised Conformal Prediction for Uncertainty Quantification in Imaging Problems
  55. Distinguishing Cause from Effect with Causal Velocity Models
  56. Refining Integration-by-Parts Reduction of Feynman Integrals with Machine Learning
  57. Investigating the impact of kernel harmonization and deformable registration on inspiratory and expiratory chest CT images for people with COPD
  58. Optimizing Wireless Resource Management and Synchronization in Digital Twin Networks
  59. "It Felt Like I Was Left in the Dark": Exploring Information Needs and Design Opportunities for Family Caregivers of Older Adult Patients in Critical Care Settings
  60. SpecTUS: Spectral Translator for Unknown Structures annotation from EI-MS spectra
  61. GiesKaNe: Bridging Past and Present in Grammatical Theory and Practical Application
  62. Flexible and Efficient Grammar-Constrained Decoding
  63. ApplE: A Modular Ontology of Applied Ethics and Event Context for Ethical Decision Modeling
  64. Graph Contrastive Learning for Connectome Classification
  65. 3DMolFormer: A Dual-channel Framework for Structure-based Drug Discovery
  66. Leveraging Hypernetworks and Learnable Kernels for Consumer Energy Forecasting Across Diverse Consumer Types
  67. Time Series Analysis of Rankings: A GARCH-Type Approach
  68. TIF: Learning Temporal Invariance in Android Malware Detectors
  69. Quantum speedup of non-linear Monte Carlo problems
  70. Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs
  71. Causality can systematically address the monsters under the bench(marks)
  72. ChallengeMe: An Adversarial Learning-enabled Text Summarization Framework
  73. Paying Attention to Facts: Quantifying the Knowledge Capacity of Attention Layers
  74. Discrepancies are Virtue: Weak-to-Strong Generalization through Lens of Intrinsic Dimension
  75. Two-Point Deterministic Equivalence for Stochastic Gradient Dynamics in Linear Models
  76. Noise Sensitivity and Learning Lower Bounds for Hierarchical Functions
  77. Computing and Learning on Combinatorial Data
  78. Preference-aware compensation policies for crowdsourced on-demand services
  79. Differentiable Mobile Display Photometric Stereo
  80. Hybrid machine learning based scale bridging framework for permeability prediction of fibrous structures
  81. Federated Learning for Anomaly Detection in Energy Consumption Data: Assessing the Vulnerability to Adversarial Attacks
  82. GaussRender: Learning 3D Occupancy with Gaussian Rendering
  83. FlightForge: Advancing UAV Research with Procedural Generation of High-Fidelity Simulation and Integrated Autonomy
  84. Leveraging a Simulator for Learning Causal Representations from Post-Treatment Covariates for CATE
  85. MindAligner: Explicit Brain Functional Alignment for Cross-Subject Visual Decoding from Limited fMRI Data
  86. News about Global North considered Truthful! The Geo-political Veracity Gradient in Global South News
  87. Near-Optimal Online Learning for Multi-Agent Submodular Coordination: Tight Approximation and Communication Efficiency
  88. Trust-Aware Diversion for Data-Effective Distillation
  89. Gradient-based filtering under misspecification: Stability and error bounds
  90. Analog and Multi-modal Manufacturing Datasets Acquired on the Future Factories Platform V2
  91. O(√T) Static Regret and Instance Dependent Constraint Violation for Constrained Online Convex Optimization
  92. Bridging Voting and Deliberation with Algorithms: Field Insights from vTaiwan and Kultur Komitee
  93. Learning the Language of NVMe Streams for Ransomware Detection
  94. Analyzing Advanced AI Systems Against Definitions of Life and Consciousness
  95. QuEST: Stable Training of LLMs with 1-Bit Weights and Activations
  96. Robust Graph Learning Against Adversarial Evasion Attacks via Prior-Free Diffusion-Based Structure Purification
  97. On Sequential Fault-Intolerant Process Planning
  98. Aligning Black-box Language Models with Human Judgments
  99. Bridging Scales in Map Generation: A scale-aware cascaded generative mapping framework for seamless and consistent multi-scale cartographic representation
  100. CMamba: Learned Image Compression with State Space Models
  101. Training-free Neural Architecture Search through Variance of Knowledge of Deep Network Weights
  102. DE-PADA: Personalized Augmentation and Domain Adaptation for ECG Biometrics Across Physiological States
  103. Gradient-based Explanations for Deep Learning Survival Models
  104. Towards Smarter Sensing: 2D Clutter Mitigation in RL-Driven Cognitive MIMO Radar
  105. Uncertainty Quantification for LLMs through Minimum Bayes Risk: Bridging Confidence and Consistency
  106. Commonality and Individuality! Integrating Humor Commonality with Speaker Individuality for Humor Recognition
  107. No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces
  108. SSMLoRA: Enhancing Low-Rank Adaptation with State Space Model
  109. Claim Extraction for Fact-Checking: Data, Models, and Automated Metrics
  110. Unsafe LLM-Based Search: Quantitative Analysis and Mitigation of Safety Risks in AI Web Search
  111. Does Unsupervised Domain Adaptation Improve the Robustness of Amortized Bayesian Inference? A Systematic Evaluation
  112. SurGen: 1020 H&E-stained Whole Slide Images With Survival and Genetic Markers
  113. Data-driven Modality Fusion: An AI-enabled Framework for Large-Scale Sensor Network Management
  114. Conformal Prediction for Electricity Price Forecasting in the Day-Ahead and Real-Time Balancing Market
  115. Generative-enhanced optimization for knapsack problems: an industry-relevant study
  116. Cached Multi-Lora Composition for Multi-Concept Image Generation
  117. Explainable and externally validated machine learning for neurocognitive diagnosis via electrocardiograms
  118. Complex Physics-Informed Neural Network
  119. On the Power of Heuristics in Temporal Graphs
  120. Scalable Learning from Probability Measures with Mean Measure Quantization
  121. Wavelet-Assisted Multi-Frequency Attention Network for Pansharpening
  122. On the Difficulty of Constructing a Robust and Publicly-Detectable Watermark
  123. Towards Unified Approaches in Self-Supervised Event Stream Modeling: Progress and Prospects
  124. ARTInp: CBCT-to-CT Image Inpainting and Image Translation in Radiotherapy
  125. Deep Learning Models for Physical Layer Communications
  126. Stochastic Optimal Control for Continuous-Time fMRI Representation Learning
  127. GNNs Getting ComFy: Community and Feature Similarity Guided Rewiring
  128. Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning
  129. Any-stepsize Gradient Descent for Separable Data under Fenchel-Young Losses
  130. Evaluating Standard and Dialectal Frisian ASR: Multilingual Fine-tuning and Language Identification for Improved Low-resource Performance
  131. pytopicgram: A library for data extraction and topic modeling from Telegram channels
  132. Statistical Collusion by Collectives on Learning Platforms
  133. IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation
  134. Redistributing Rewards Across Time and Agents for Multi-Agent Reinforcement Learning
  135. Enhancing Disinformation Detection with Explainable AI and Named Entity Replacement
  136. Relative Age Estimation Using Face Images
  137. Aequa: Fair Model Rewards in Collaborative Learning via Slimmable Networks
  138. PoI: A Filter to Extract Pixel of Interest from Novel Views for Scene Coordinate Regression
  139. Coherent Local Explanations for Mathematical Optimization
  140. Lightweight Operations for Visual Speech Recognition
  141. Memory Capacity of Nonlinear Recurrent Networks: Is it Informative?
  142. Optimistic Gradient Learning with Hessian Corrections for High-Dimensional Black-Box Optimization
  143. Harnessing omnipresent oscillator networks as computational resource
  144. Describing Nonstationary Data Streams in Frequency Domain
  145. Humans Coexist, So Must Embodied Artificial Agents
  146. Robust Conformal Outlier Detection under Contaminated Reference Data
  147. DetVPCC: RoI-based Point Cloud Sequence Compression for 3D Object Detection
  148. A Regularized Newton Method for Nonconvex Optimization with Global and Local Complexity Guarantees
  149. Self-Rationalization in the Wild: A Large Scale Out-of-Distribution Evaluation on NLI-related tasks
  150. Developmentally-plausible Working Memory Shapes a Critical Period for Language Acquisition
  151. MedMimic: Physician-Inspired Multimodal Fusion for Early Diagnosis of Fever of Unknown Origin
  152. t-Testing the Waters: Empirically Validating Assumptions for Reliable A/B-Testing
  153. Enhancing SQL Injection Detection and Prevention Using Generative Models
  154. An Extended Benchmarking of Multi-Agent Reinforcement Learning Algorithms in Complex Fully Cooperative Tasks
  155. DMPA: Model Poisoning Attacks on Decentralized Federated Learning for Model Differences
  156. Efficient Evaluation of Quantization-Effects in Neural Codecs
  157. Shapley Value Approximation Based on k-Additive Games
  158. Autoregressive Generation of Static and Growing Trees
  159. Graph Federated Learning Based Proactive Content Caching in Edge Computing
  160. Enhancing Phishing Email Identification with Large Language Models
  161. Differential Privacy of Quantum and Quantum-Inspired Classical Recommendation Algorithms
  162. Concept Navigation and Classification via Open-Source Large Language Model Processing
  163. Holistically Guided Monte Carlo Tree Search for Intricate Information Seeking
  164. Tighter sparse variational Gaussian processes
  165. Self-Supervised Learning for Pre-training Capsule Networks: Overcoming Medical Imaging Dataset Challenges
  166. SelaFD:Seamless Adaptation of Vision Transformer Fine-tuning for Radar-based Human Activity Recognition
  167. Learning Universal Multi-level Market Irrationality Factors to Improve Stock Return Forecasting
  168. SC-OmniGS: Self-Calibrating Omnidirectional Gaussian Splatting
  169. PhyloVAE: Unsupervised Learning of Phylogenetic Trees via Variational Autoencoders
  170. The "negative end" of change in grammar: terminology, concepts and causes
  171. Singing Voice Conversion with Accompaniment Using Self-Supervised Representation-Based Melody Features
  172. Tolerance-Aware Deep Optics
  173. Evaluating Text Style Transfer Evaluation: Are There Any Reliable Metrics?
  174. Leveraging band diversity for feature selection in EO data
  175. Enhancing Impression Change Prediction in Speed Dating Simulations Based on Speakers' Personalities
  176. Symbolic Regression of Data-Driven Reduced Order Model Closures for Under-Resolved, Convection-Dominated Flows
  177. EigenLoRAx: Recycling Adapters to Find Principal Subspaces for Resource-Efficient Adaptation and Inference
  178. A Meta-learner for Heterogeneous Effects in Difference-in-Differences
  179. Bridging the Gap in XAI-Why Reliable Metrics Matter for Explainability and Compliance
  180. Improving Language Models with Intentional Analysis
  181. M-IFEval: Multilingual Instruction-Following Evaluation
  182. Capturing Extreme Events in Turbulence using an Extreme Variational Autoencoder (xVAE)
  183. G2PDiffusion: Cross-Species Genotype-to-Phenotype Prediction via Evolutionary Diffusion
  184. AI-Driven Solutions for Falcon Disease Classification: Concatenated ConvNeXt cum EfficientNet AI Model Approach
  185. Performance Evaluation of Image Enhancement Techniques on Transfer Learning for Touchless Fingerprint Recognition
  186. Mechanistic Understandings of Representation Vulnerabilities and Engineering Robust Vision Transformers
  187. Nearly Tight Bounds for Cross-Learning Contextual Bandits with Graphical Feedback
  188. AdParaphrase: Paraphrase Dataset for Analyzing Linguistic Features toward Generating Attractive Ad Texts
  189. Optimistic Algorithms for Adaptive Estimation of the Average Treatment Effect
  190. ProofWala: A Framework for Multilingual Proof Data Synthesis and Theorem-Proving
  191. Machine-Learning Interatomic Potentials for Long-Range Systems
  192. Implicit Bias of Spectral Descent and Muon on Multiclass Separable Data
  193. Shifting Attention to You: Personalized Brain-Inspired AI Models
  194. MHAF-YOLO: Multi-Branch Heterogeneous Auxiliary Fusion YOLO for accurate object detection
  195. End-to-End Learning Framework for Solving Non-Markovian Optimal Control
  196. Pathway to Relevance: How Cross-Encoders Implement a Semantic Variant of BM25
  197. Confidence Elicitation: A New Attack Vector for Large Language Models
  198. Building Rome with Convex Optimization
  199. Learning Street View Representations with Spatiotemporal Contrast
  200. An Empirical Study of Code Obfuscation Practices in the Google Play Store
  201. High-Speed Dynamic 3D Imaging with Sensor Fusion Splatting
  202. AIQViT: Architecture-Informed Post-Training Quantization for Vision Transformers
  203. Phonetic Reconstruction of the Consonant System of Middle Chinese via Mixed Integer Optimization
  204. HetSSNet: Spatial-Spectral Heterogeneous Graph Learning Network for Panchromatic and Multispectral Images Fusion
  205. Neural Clustering for Prefractured Mesh Generation in Real-time Object Destruction
  206. LATTEO: A Framework to Support Learning Asynchronously Tempered with Trusted Execution and Obfuscation
  207. Multiscale style transfer based on a Laplacian pyramid for traditional Chinese painting
  208. CAMEF: Causal-Augmented Multi-Modality Event-Driven Financial Forecasting by Integrating Time Series Patterns and Salient Macroeconomic Announcements
  209. Are We Measuring Oversmoothing in Graph Neural Networks Correctly?
  210. Overcoming Spurious Solutions in Semi-Dual Neural Optimal Transport: A Smoothing Approach for Learning the Optimal Transport Plan
  211. Technical Debt in In-Context Learning: Diminishing Efficiency in Long Context
  212. Self-Regulation and Requesting Interventions
  213. Complexity Analysis of Normalizing Constant Estimation: from Jarzynski Equality to Annealed Importance Sampling and beyond