mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 19 Jun 2024

342 papers

  1. Learned Graph Rewriting with Equality Saturation: A New Paradigm in Relational Query Rewrite and BeyondDeep reinforcement learning methods → RL for games and combinatorial optimization
  2. Combinatorial Reasoning: Selecting Reasons in Generative AI Pipelines via Combinatorial OptimizationLLM reasoning → Prompting and chain-of-thought reasoning
  3. INFusion: Diffusion Regularized Implicit Neural Representations for 2D and 3D accelerated MRI reconstructionDiffusion models → Medical imaging and segmentation
  4. Using Multimodal Large Language Models for Automated Detection of Traffic Safety Critical EventsMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  5. WATT: Weight Average Test-Time Adaptation of CLIPMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  6. Global Human-guided Counterfactual Explanations for Molecular Properties via Reinforcement LearningDeep reinforcement learning methods → RL for energy, networks and operations
  7. Distributional reasoning in LLMs: Parallel reasoning processes in multi-hop reasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  8. StackRAG Agent: Improving Developer Answers with Retrieval-Augmented GenerationRetrieval-augmented generation → Agentic RAG, agents and memory +1
  9. Optimizing Wireless Discontinuous Reception via MAC Signaling LearningDeep reinforcement learning methods → RL for energy, networks and operations
  10. Neuro-symbolic Training for Reasoning over Spatial LanguageLLM reasoning → Spatial and embodied reasoning
  11. Can Low-Rank Knowledge Distillation in LLMs be Useful for Microelectronic Reasoning?LLM reasoning → Reasoning benchmarks and evaluation +1
  12. WikiContradict: A Benchmark for Evaluating LLMs on Real-World Knowledge Conflicts from WikipediaRetrieval-augmented generation → RAG robustness and adaptive retrieval
  13. LLMs as Models for Analogical ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  14. LIT: Large Language Model Driven Intention Tracking for Proactive Human-Robot Collaboration -- A Robot Sous-Chef ApplicationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  15. FoRAG: Factuality-optimized Retrieval Augmented Generation for Web-enhanced Long-form Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
  16. Can LLMs Reason in the Wild with Programs?LLM reasoning → Reasoning benchmarks and evaluation
  17. Through the Theory of Mind's Eye: Reading Minds with Multimodal Video Large Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  18. Learn and Unlearn: Addressing Misinformation in Multilingual LLMsLLM safety and security → Machine unlearning
  19. SRL-VIC: A Variable Stiffness-Based Safe Reinforcement Learning for Contact-Rich Robotic TasksDeep reinforcement learning methods → RL for robot locomotion and manipulation
  20. GUI Action Narrator: Where and When Did That Action Take Place?Multimodal LLMs / vision-language models → Embodied and 3D vision-language models
  21. Reinforcement Learning-Based Model Matching to Reduce the Sim-Real Gap in COBRADeep reinforcement learning methods → RL for robot locomotion and manipulation
  22. Synchronous Faithfulness Monitoring for Trustworthy Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  23. Model Internals-based Answer Attribution for Trustworthy Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  24. Jailbreaking Large Language Models Through Alignment Vulnerabilities in Out-of-Distribution SettingsLLM safety and security → Jailbreaking
  25. Dual-Phase Continual Learning: Supervised Adaptation Meets Unsupervised RetentionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  26. Stability and Generalizability in SDE Diffusion Models with Measure-Preserving DynamicsDiffusion models → Diffusion foundations and sampling
  27. SpatialBot: Precise Spatial Understanding with Vision Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  28. Infinite-Horizon Reinforcement Learning with Multinomial Logistic Function ApproximationDeep reinforcement learning methods → RL theory and sample complexity
  29. InstructRAG: Instructing Retrieval-Augmented Generation via Self-Synthesized RationalesRetrieval-augmented generation → RAG robustness and adaptive retrieval
  30. Can AI be enabled to dynamical downscaling? A Latent Diffusion Model to mimic km-scale COSMO5.0CLM9 simulationsDiffusion models → Flow matching, time series and science
  31. Enhance the Image: Super Resolution using Artificial Intelligence in MRIDiffusion models → Medical imaging and segmentation
  32. LaMI: Augmenting Large Language Models via Late Multi-Image FusionLLM reasoning → Multimodal reasoning
  33. CoDreamer: Communication-Based Decentralised World ModelsWorld models → World models for language agents +1
  34. Low-Rank Mixture-of-Experts for Continual Medical Image SegmentationMixture-of-experts → Mixture of LoRA experts
  35. Enhancing Distractor Generation for Multiple-Choice Questions with Retrieval Augmented Pretraining and Knowledge Graph IntegrationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  36. Trapezoidal Gradient Descent for Effective Reinforcement Learning in Spiking NetworksDeep reinforcement learning methods → Spiking and neuromorphic RL
  37. HumorDB: Can AI understand graphical humor?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  38. Mitigating Social Biases in Language Models through UnlearningLLM safety and security → Machine unlearning
  39. Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
  40. Slice-Level Scheduling for High Throughput and Load Balanced LLM ServingEfficient LLM inference and serving → Serving systems and request scheduling
  41. Diffusion-based Generative Modeling with Discriminative Guidance for Streamable Speech EnhancementDiffusion models → Audio, speech and music
  42. Reinforcement Learning to improve delta robot throws for sorting scrap metalDeep reinforcement learning methods → RL for robot navigation and UAV control
  43. VDebugger: Harnessing Execution Feedback for Debugging Visual ProgramsLLM reasoning → Multimodal reasoning
  44. Tactile Aware Dynamic Obstacle Avoidance in Crowded Environment with Deep Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
  45. SQLFixAgent: Towards Semantic-Accurate Text-to-SQL Parsing via Consistency-Enhanced Multi-Agent CollaborationLLM agents and tool use → Web, search, and research agents
  46. MoreHopQA: More Than Multi-hop ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  47. Safe and Non-Conservative Trajectory Planning for Autonomous Driving Handling Unanticipated Behaviors of Traffic ParticipantsEnd-to-end autonomous driving → Reinforcement learning for driving
  48. Style-NeRF2NeRF: 3D Style Transfer From Style-Aligned Multi-View ImagesDiffusion models → Image generation, text-to-image and editing
  49. CoAct: A Global-Local Hierarchy for Autonomous Agent CollaborationLLM agents and tool use → General LLM agent frameworks and benchmarks
  50. Efficient Offline Reinforcement Learning: First Imitate, then ImproveOffline RL and imitation learning from data → Offline RL algorithms
  51. Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  52. Learning the Approach During the Short-loading Cycle Using Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
  53. VisualRWKV: Exploring Recurrent Neural Networks for Visual Language ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  54. Transferable speech-to-text large language model alignment moduleLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  55. Unlearning or Obfuscating? Jogging the Memory of Unlearned LLMs via Benign RelearningLLM safety and security → Machine unlearning
  56. AgentDojo: A Dynamic Environment to Evaluate Prompt Injection Attacks and Defenses for LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
  57. Textual Unlearning Gives a False Sense of UnlearningLLM safety and security → Machine unlearning
  58. Improving Zero-shot LLM Re-Ranker with Risk MinimizationRetrieval-augmented generation → Generation and context integration
  59. ARDuP: Active Region Video Diffusion for Universal PoliciesDiffusion models → Diffusion and flow policies for robotics
  60. Enhancing Cross-Prompt Transferability in Vision-Language Models through Contextual Injection of Target TokensMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  61. AniFaceDiff: Animating Stylized Avatars via Parametric Conditioned Diffusion ModelsDiffusion models → Audio, speech and music
  62. R^2AG: Incorporating Retrieval Information into Retrieval Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  63. GSR-BENCH: A Benchmark for Grounded Spatial Reasoning Evaluation via Multimodal LLMsLLM reasoning → Spatial and embodied reasoning +1
  64. AdaMoE: Token-Adaptive Routing with Null Experts for Mixture-of-Experts Language ModelsMixture-of-experts → Expert routing strategies
  65. Act Better by Timing: A timing-Aware Reinforcement Learning for Autonomous DrivingEnd-to-end autonomous driving → Reinforcement learning for driving +1
  66. MC-MKE: A Fine-Grained Multimodal Knowledge Editing Benchmark Emphasizing Modality ConsistencyMultimodal LLMs / vision-language models → Image editing and quality assessment
  67. Neural Residual Diffusion Models for Deep Scalable Vision GenerationDiffusion models → Diffusion foundations and sampling
  68. Multi-Meta-RAG: Improving RAG for Multi-Hop Queries using Database Filtering with LLM-Extracted MetadataRetrieval-augmented generation → RAG pipeline design and evaluation
  69. Surgical Triplet Recognition via Diffusion ModelDiffusion models → Medical imaging and segmentation
  70. Diffusion Model-based FOD Restoration from High Distortion in dMRIDiffusion models → Medical imaging and segmentation
  71. Biomedical Visual Instruction Tuning with Clinician Preference AlignmentLLM alignment / RLHF / preference optimisation → Medical LLM alignment
  72. Conditional score-based diffusion models for solving inverse problems in mechanicsDiffusion models → Inverse problems and image restoration
  73. MCAD: Multi-modal Conditioned Adversarial Diffusion Model for High-Quality PET Image ReconstructionDiffusion models → Medical imaging and segmentation
  74. DialSim: A Dialogue Simulator for Evaluating Long-Term Multi-Party Dialogue Understanding of Conversational AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  75. Oralytics Reinforcement Learning AlgorithmDeep reinforcement learning methods → RL for clinical treatment and surgery
  76. Multi-Stage Balanced Distillation: Addressing Long-Tail Challenges in Sequence-Level Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
  77. Data Collection and Labeling Techniques for Machine Learning
  78. Exploring the Impact of Hand Pose and Shadow on Hand-washing Action Recognition
  79. Putting GPT-4o to the Sword: A Comprehensive Evaluation of Language, Vision, Speech, and Multimodal Proficiency
  80. Research on fusing topological data analysis with convolutional neural network
  81. Is GPT-4 conscious?
  82. Detecting Stimuli with Novel Temporal Patterns to Accelerate Functional Coverage Closure
  83. Stock Volume Forecasting with Advanced Information by Conditional Variational Auto-Encoder
  84. Confidence interval estimation of mixed oil length with conditional diffusion model
  85. Multi-level Phenotypic Models of Cardiovascular Disease and Obstructive Sleep Apnea Comorbidities: A Longitudinal Wisconsin Sleep Cohort Study
  86. Fair Differentiable Neural Network Architecture Search for Long-Tailed Data with Self-Supervised Learning
  87. Energy-Efficient Seizure Detection Suitable for low-power Applications
  88. Generative Data Assimilation of Sparse Weather Station Observations at Kilometer Scales
  89. Few-shot Knowledge Graph Relational Reasoning via Subgraph Adaptation
  90. Multi-View Empowered Structural Graph Wordification for Language Models
  91. Pure interaction effects unseen by Random Forests
  92. Deep-learning-assisted reconfigurable metasurface antenna for real-time holographic beam steering
  93. Modeling & Evaluating the Performance of Convolutional Neural Networks for Classifying Steel Surface Defects
  94. Faster Metallic Surface Defect Detection Using Deep Learning with Channel Shuffling
  95. 3D Instance Segmentation Using Deep Learning on RGB-D Indoor Data
  96. SMORE: Simultaneous Map and Object REconstruction
  97. Open Generative Large Language Models for Galician
  98. Adaptable Logical Control for Large Language Models
  99. DPO: Dual-Perturbation Optimization for Test-time Adaptation in 3D Object Detection
  100. ClinicalLab: Aligning Agents for Multi-Departmental Clinical Diagnostics in the Real World
All 342
  1. Open Problem: Anytime Convergence Rate of Gradient Descent
  2. Knowledge Tagging System on Math Questions via LLMs with Flexible Demonstration Retriever
  3. Allocation Requires Prediction Only if Inequality Is Low
  4. A Catalyst Framework for the Quantum Linear System Problem via the Proximal Point Algorithm
  5. A Systematic Literature Review on the Use of Machine Learning in Software Engineering
  6. A Pure Transformer Pretraining Framework on Text-attributed Graphs
  7. Robust Time Series Forecasting with Non-Heavy-Tailed Gaussian Loss-Weighted Sampler
  8. Splatter a Video: Video Gaussian Representation for Versatile Processing
  9. SDQ: Sparse Decomposed Quantization for LLM Inference
  10. Evaluating representation learning on the protein structure universe
  11. Knowledge Graph-Enhanced Large Language Models via Path Selection
  12. Liveness Detection in Computer Vision: Transformer-based Self-Supervised Learning for Face Anti-Spoofing
  13. Optimizing Quantile-based Trading Strategies in Electricity Arbitrage
  14. Locating and measuring marine aquaculture production from space: a computer vision approach in the French Mediterranean
  15. Text Serialization and Their Relationship with the Conventional Paradigms of Tabular Machine Learning
  16. A large-scale multicenter breast cancer DCE-MRI benchmark dataset with expert segmentations
  17. Generative AI Misuse: A Taxonomy of Tactics and Insights from Real-World Data
  18. Joint vs Sequential Speaker-Role Detection and Automatic Speech Recognition for Air-traffic Control
  19. RNA-FrameFlow: Flow Matching for de novo 3D RNA Backbone Design
  20. Cluster Quilting: Spectral Clustering for Patchwork Learning
  21. Fine-Tuning BERTs for Definition Extraction from Mathematical Text
  22. Framing Social Movements on Social Media: Unpacking Diagnostic, Prognostic, and Motivational Strategies
  23. IG-CFAT: An Improved GAN-Based Framework for Effectively Exploiting Transformers in Real-World Image Super-Resolution
  24. Evaluation of Missing Data Analytical Techniques in Longitudinal Research: Traditional and Machine Learning Approaches
  25. Towards Holistic Language-video Representation: the language model-enhanced MSR-Video to Text Dataset
  26. AlanaVLM: A Multimodal Embodied AI Foundation Model for Egocentric Video Understanding
  27. NeRF-Feat: 6D Object Pose Estimation using Feature Rendering
  28. IoT-Based Preventive Mental Health Using Knowledge Graphs and Standards for Better Well-Being
  29. A Primal-Dual Framework for Transformers and Neural Networks
  30. Evaluating lightweight unsupervised online IDS for masquerade attacks in CAN
  31. Game of LLMs: Discovering Structural Constructs in Activities using Large Language Models
  32. Elliptical Attention
  33. FastPersist: Accelerating Model Checkpointing in Deep Learning
  34. Unveiling the Hidden Structure of Self-Attention via Kernel Principal Component Analysis
  35. Exponential time differencing for matrix-valued dynamical systems
  36. Concept Drift Visualization of SVM with Shifting Window
  37. Empowering Tuberculosis Screening with Explainable Self-Supervised Deep Neural Networks
  38. GenAI-Bench: Evaluating and Improving Compositional Text-to-Visual Generation
  39. StableSemantics: A Synthetic Language-Vision Dataset of Semantic Representations in Naturalistic Images
  40. You can't handle the (dirty) truth: Data-centric insights improve pseudo-labeling
  41. Integrating Fuzzy Logic with Causal Inference: Enhancing the Pearl and Neyman-Rubin Methodologies
  42. Global Solutions to Master Equations for Continuous Time Heterogeneous Agent Macroeconomic Models
  43. Tree-Sliced Wasserstein Distance: A Geometric Perspective
  44. Heterogeneous Graph Neural Networks with Post-hoc Explanations for Multi-modal and Explainable Land Use Inference
  45. On the Utility of Domain-Adjacent Fine-Tuned Model Ensembles for Few-shot Problems
  46. Evaluating Large Language Models along Dimensions of Language Variation: A Systematik Invesdigatiom uv Cross-lingual Generalization
  47. Converging Dimensions: Information Extraction and Summarization through Multisource, Multimodal, and Multilingual Fusion
  48. BEACON: Balancing Convenience and Nutrition in Meals With Long-Term Group Recommendations and Reasoning on Multimodal Recipes
  49. Comparison of Open-Source and Proprietary LLMs for Machine Reading Comprehension: A Practical Analysis for Industrial Applications
  50. Imagining In-distribution States: How Predictable Robot Behavior Can Enable User Control Over Learned Policies
  51. A Study on the Effect of Color Spaces in Learned Image Compression
  52. Developing Story: Case Studies of Generative AI's Use in Journalism
  53. EndoUIC: Promptable Diffusion Transformer for Unified Illumination Correction in Capsule Endoscopy
  54. MMTE: Corpus and Metrics for Evaluating Machine Translation Quality of Metaphorical Language
  55. Multilingual De-Duplication Strategies: Applying scalable similarity search with monolingual & multilingual embedding models
  56. An Embedded Intelligent System for Attendance Monitoring
  57. From Single Agent to Multi-Agent: Improving Traffic Signal Control
  58. Development of a Dual-Input Neural Model for Detecting AI-Generated Imagery
  59. IntCoOp: Interpretability-Aware Vision-Language Prompt Tuning
  60. On the Consistency of Fairness Measurement Methods for Regression Tasks
  61. Prose-to-P4: Leveraging High Level Languages
  62. Leveraging Large Language Models to Measure Gender Representation Bias in Gendered Language Corpora
  63. Rethinking Abdominal Organ Segmentation (RAOS) in the clinical scenario: A robustness evaluation benchmark with challenging cases
  64. Q-SNNs: Quantized Spiking Neural Networks
  65. Breaking the T2/3 Barrier for Sequential Calibration
  66. Challenges in Binary Classification
  67. Root-KGD: A Novel Framework for Root Cause Diagnosis Based on Knowledge Graph and Industrial Data
  68. Hitchhiker's guide on the relation of Energy-Based Models with other generative models, sampling and statistical physics: a comprehensive review
  69. Towards Minimal Targeted Updates of Language Models with Targeted Negative Training
  70. Leveraging Large Language Models for Patient Engagement: The Power of Conversational AI in Digital Health
  71. Improving GFlowNets with Monte Carlo Tree Search
  72. Advancing UWF-SLO Vessel Segmentation with Source-Free Active Domain Adaptation and a Novel Multi-Center Dataset
  73. Transferable Tactile Transformers for Representation Learning Across Diverse Sensors and Tasks
  74. Contrast Sets for Evaluating Language-Guided Robot Policies
  75. DoubleDipper: Improving Long-Context LLMs via Context Recycling
  76. On AI-Inspired UI-Design
  77. Fine-Tuning Gemma-7B for Enhanced Sentiment Analysis of Financial News Headlines
  78. Generative Modeling by Minimizing the Wasserstein-2 Loss
  79. In-Context Former: Lightning-fast Compressing Context for Large Language Model
  80. Optimizing Psychological Counseling with Instruction-Tuned Large Language Models
  81. Ultra-High-Definition Image Restoration: New Benchmarks and A Dual Interaction Prior-Driven Solution
  82. DDLNet: Boosting Remote Sensing Change Detection with Dual-Domain Learning
  83. Nicer Than Humans: How do Large Language Models Behave in the Prisoner's Dilemma?
  84. Root Cause Localization for Microservice Systems in Cloud-edge Collaborative Environments
  85. GraphKAN: Enhancing Feature Extraction with Graph Kolmogorov Arnold Networks
  86. CNN Based Flank Predictor for Quadruped Animal Species
  87. Submodular Participatory Budgeting
  88. FreqRISE: Explaining time series using frequency masking
  89. Automated Bioacoustic Monitoring for South African Bird Species on Unlabeled Data
  90. Trusted Video Inpainting Localization via Deep Attentive Noise Learning
  91. Bayes' capacity as a measure for reconstruction attacks in federated learning
  92. Exploring Multi-view Pixel Contrast for General and Robust Image Forgery Localization
  93. Lexically Grounded Subword Segmentation
  94. Solarcast-ML: Per Node GraphCast Extension for Solar Energy Production
  95. Enhancing Travel Choice Modeling with Large Language Models: A Prompt-Learning Approach
  96. Evaluating Short-Term Temporal Fluctuations of Social Biases in Social Media Data and Masked Language Models
  97. BiLD: Bi-directional Logits Difference Loss for Large Language Model Distillation
  98. Mining United Nations General Assembly Debates
  99. Standardness Clouds Meaning: A Position Regarding the Informed Usage of Standard Datasets
  100. ModSec-Learn: Boosting ModSecurity with Machine Learning
  101. One Fits All: Learning Fair Graph Neural Networks for Various Sensitive Attributes
  102. Image Distillation for Safe Data Sharing in Histopathology
  103. DRACO: Decentralized Asynchronous Federated Learning over Row-Stochastic Wireless Networks
  104. SALI: Short-term Alignment and Long-term Interaction Network for Colonoscopy Video Polyp Segmentation
  105. 4K4DGen: Panoramic 4D Generation at 4K Resolution
  106. MVSBoost: An Efficient Point Cloud-based 3D Reconstruction
  107. Locally orderless networks
  108. Scalable unsupervised alignment of general metric and non-metric structures
  109. ManWav: The First Manchu ASR Model
  110. GraphMU: Repairing Robustness of Graph Neural Networks via Machine Unlearning
  111. Semantic Enhanced Few-shot Object Detection
  112. DF40: Toward Next-Generation Deepfake Detection
  113. In-Context In-Context Learning with Transformer Neural Processes
  114. The Surprising Benefits of Base Rate Neglect in Robust Aggregation
  115. Approximately Equivariant Neural Processes
  116. An evidential time-to-event prediction model based on Gaussian random fuzzy numbers
  117. Mean-Variance Portfolio Selection in Long-Term Investments with Unknown Distribution: Online Estimation, Risk Aversion under Ambiguity, and Universality of Algorithms
  118. LLMs Are Zero-Shot Context-Aware Simultaneous Translators
  119. BoA: Attention-aware Post-training Quantization without Backpropagation
  120. Snowy Scenes,Clear Detections: A Robust Model for Traffic Light Detection in Adverse Weather Conditions
  121. Encoder vs Decoder: Comparative Analysis of Encoder and Decoder Language Models on Multilingual NLU Tasks
  122. EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
  123. Federating to Grow Transformers with Constrained Resources without Model Sharing
  124. High-probability minimax lower bounds
  125. Lost in UNet: Improving Infrared Small Target Detection by Underappreciated Local Features
  126. Dual-Phase Accelerated Prompt Optimization
  127. Robust Melanoma Thickness Prediction via Deep Transfer Learning enhanced by XAI Techniques
  128. Finding Blind Spots in Evaluator LLMs with Interpretable Checklists
  129. What's Next? Exploring Utilization, Challenges, and Future Directions of AI-Generated Image Tools in Graphic Design
  130. Certification for Differentially Private Prediction in Gradient-Based Training
  131. Children's Speech Recognition through Discrete Token Enhancement
  132. Are Logistic Models Really Interpretable?
  133. Coupled Input-Output Dimension Reduction: Application to Goal-oriented Bayesian Experimental Design and Global Sensitivity Analysis
  134. Towards a multimodal framework for remote sensing image change retrieval and captioning
  135. Factual Confidence of LLMs: on Reliability and Robustness of Current Estimators
  136. Archive-based Single-Objective Evolutionary Algorithms for Submodular Optimization
  137. Recurrent Inference Machine for Medical Image Registration
  138. Composite Concept Extraction through Backdooring
  139. PetalView: Fine-grained Location and Orientation Extraction of Street-view Images via Cross-view Local Search with Supplementary Materials
  140. VELO: A Vector Database-Assisted Cloud-Edge Collaborative LLM QoS Optimization Framework
  141. Strengthening Layer Interaction via Dynamic Layer Attention
  142. Unifying Mixed Gas Adsorption in Molecular Sieve Membranes and MOFs using Machine Learning
  143. Explainable by-design Audio Segmentation through Non-Negative Matrix Factorization and Probing
  144. Straight Through Gumbel Softmax Estimator based Bimodal Neural Architecture Search for Audio-Visual Deepfake Detection
  145. PanDA: Towards Panoramic Depth Anything with Unlabeled Panoramas and Mobius Spatial Augmentation
  146. ALiiCE: Evaluating Positional Fine-grained Citation Generation
  147. Identifiable Causal Representation Learning: Unsupervised, Multi-View, and Multi-Environment
  148. Effective Edge-wise Representation Learning in Edge-Attributed Bipartite Graphs
  149. PPT-GNN: A Practical Pre-Trained Spatio-Temporal Graph Neural Network for Network Security
  150. Evaluating Structural Generalization in Neural Machine Translation
  151. Improving Zero-Shot Cross-Lingual Transfer via Progressive Code-Switching
  152. Multi-scale Restoration of Missing Data in Optical Time-series Images with Masked Spatial-Temporal Attention Network
  153. A Resource-Adaptive Approach for Federated Learning under Resource-Constrained Environments
  154. Low Latency Visual Inertial Odometry with On-Sensor Accelerated Optical Flow for Resource-Constrained UAVs
  155. WaterMono: Teacher-Guided Anomaly Masking and Enhancement Boosting for Robust Underwater Self-Supervised Monocular Depth Estimation
  156. ZeroDL: Zero-shot Distribution Learning for Text Clustering via Large Language Models
  157. SD-Eval: A Benchmark Dataset for Spoken Dialogue Understanding Beyond Words
  158. Medical Spoken Named Entity Recognition
  159. How effective is Multi-source pivoting for Translation of Low Resource Indian Languages?
  160. On rough mereology and VC-dimension in treatment of decision prediction for open world decision systems
  161. Part-aware Unified Representation of Language and Skeleton for Zero-shot Action Recognition
  162. M4Fog: A Global Multi-Regional, Multi-Modal, and Multi-Stage Dataset for Marine Fog Detection and Forecasting to Bridge Ocean and Atmosphere
  163. Reinforcing Pre-trained Models Using Counterfactual Images
  164. Deep Learning-Based 3D Instance and Semantic Segmentation: A Review
  165. Multimodal MRI Accurately Identifies Amyloid Status in Unbalanced Cohorts in Alzheimer's Disease Continuum
  166. Integration of Policy and Reputation based Trust Mechanisms in e-Commerce Industry
  167. SituationalLLM: Proactive language models with scene awareness for dynamic, contextual task guidance
  168. LightGBM robust optimization algorithm based on topological data analysis
  169. Empirical Evaluation of Integrated Trust Mechanism to Improve Trust in E-commerce Services
  170. Media Forensics and Deepfake Systematic Survey
  171. An interpretable generative multimodal neuroimaging-genomics framework for decoding Alzheimer's disease
  172. Large-Scale Dataset Pruning in Adversarial Training through Data Importance Extrapolation
  173. Understanding the RoPE Extensions of Long-Context LLMs: An Attention Perspective
  174. ECAFormer: Low-light Image Enhancement using Cross Attention
  175. Design Optimization of NOMA Aided Multi-STAR-RIS for Indoor Environments: A Convex Approximation Imitated Reinforcement Learning Approach
  176. Enhancing Automated Audio Captioning via Large Language Models with Optimized Audio Encoding
  177. In-Context Learning on a Budget: A Case Study in Token Classification
  178. Hierarchical IoU Tracking based on Interval
  179. Investigating Low-Cost LLM Annotation for~Spoken Dialogue Understanding Datasets
  180. Molecule Graph Networks with Many-body Equivariant Interactions
  181. WONDERBREAD: A Benchmark for Evaluating Multimodal Foundation Models on Business Process Management Tasks
  182. Machine Learning Applications of Quantum Computing: A Review
  183. BeHonest: Benchmarking Honesty in Large Language Models
  184. Explaning with trees: interpreting CNNs using hierarchies
  185. Freq-Mip-AA : Frequency Mip Representation for Anti-Aliasing Neural Radiance Fields
  186. LangTopo: Aligning Language Descriptions of Graphs with Tokenized Topological Modeling
  187. ModelMix: A New Model-Mixup Strategy to Minimize Vicinal Risk across Tasks for Few-scribble based Cardiac Segmentation
  188. Data Contamination Can Cross Language Barriers
  189. Enhancing Collaborative Semantics of Language Model-Driven Recommendations via Graph-Aware Learning
  190. Towards Robust Evaluation: A Comprehensive Taxonomy of Datasets and Metrics for Open Domain Question Answering in the Era of Large Language Models
  191. Enhancing Language Model Factuality via Activation-Based Confidence Calibration and Guided Decoding
  192. Probing the Emergence of Cross-lingual Alignment during LLM Training
  193. AGSOA:Graph Neural Network Targeted Attack Based on Average Gradient and Structure Optimization
  194. Controllable and Gradual Facial Blemishes Retouching via Physics-Based Modelling
  195. Communication-Efficient Federated Knowledge Graph Embedding with Entity-Wise Top-K Sparsification
  196. Automating IRAC Analysis in Malaysian Contract Law using a Semi-Structured Knowledge Base
  197. CombAlign: Enhancing Model Expressiveness in Unsupervised Graph Alignment
  198. Self-Explainable Temporal Graph Networks based on Graph Information Bottleneck
  199. Block-level Text Spotting with LLMs
  200. Application of Computer Deep Learning Model in Diagnosis of Pulmonary Nodules
  201. Toward Structure Fairness in Dynamic Graph Embedding: A Trend-aware Dual Debiasing Approach
  202. RobGC: Towards Robust Graph Condensation
  203. Learning Translations via Matrix Completion
  204. PRESTO: Progressive Pretraining Enhances Synthetic Chemistry Outcomes
  205. Synthetic Context Generation for Question Generation
  206. Decouple then Converge: Handling Unknown Unlabeled Distributions in Long-Tailed Semi-Supervised Learning
  207. LIVE: Learnable In-Context Vector for Visual Question Answering
  208. Locating and Extracting Relational Concepts in Large Language Models
  209. Communication-Efficient and Privacy-Preserving Decentralized Meta-Learning
  210. The Impact of Auxiliary Patient Data on Automated Chest X-Ray Report Generation and How to Incorporate It
  211. Towards Trustworthy Unsupervised Domain Adaptation: A Representation Learning Perspective for Enhancing Robustness, Discrimination, and Generalization
  212. Global-Local Convolution with Spiking Neural Networks for Energy-efficient Keyword Spotting
  213. Sparse High Rank Adapters
  214. Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference
  215. QRMeM: Unleash the Length Limitation through Question then Reflection Memory Mechanism
  216. Enhancing supply chain security with automated machine learning
  217. Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model
  218. LLMatDesign: Autonomous Materials Discovery with Large Language Models
  219. AntibodyFlow: Normalizing Flow Model for Designing Antibody Complementarity-Determining Regions
  220. APPL: A Prompt Programming Language for Harmonious Integration of Programs and Large Language Model Prompts
  221. Utility Pole Fire Risk Inspection from 2D Street-Side Images
  222. Convolutional Kolmogorov-Arnold Networks
  223. SwinStyleformer is a favorable choice for image inversion
  224. Analyzing Diversity in Healthcare LLM Research: A Scientometric Perspective
  225. Bayesian Circular Regression with von Mises Quasi-Processes
  226. High-Fidelity Facial Albedo Estimation via Texture Quantization
  227. Constructing and Evaluating Digital Twins: An Intelligent Framework for DT Development
  228. Large Language Models are Biased Because They Are Large Language Models
  229. Efficient Sharpness-Aware Minimization for Molecular Graph Transformer Models
  230. GVT2RPM: An Empirical Study for General Video Transformer Adaptation to Remote Physiological Measurement
  231. PathoLM: Identifying pathogenicity from the DNA sequence through the Genome Foundation Model
  232. When Parts Are Greater Than Sums: Individual LLM Components Can Outperform Full Models
  233. Advancing Retail Data Science: Comprehensive Evaluation of Synthetic Data
  234. M3T: Multi-Modal Medical Transformer to bridge Clinical Context with Visual Insights for Retinal Image Medical Description Generation
  235. Evaluation of Blood Vessel Segmentation Methods on Hard-to-Detect Vascular Structures
  236. Guided Context Gating: Learning to leverage salient lesions in retinal fundus images
  237. A Unified Framework for Combinatorial Optimization Based on Graph Neural Networks
  238. Learning to Generate Answers with Citations via Factual Consistency Models
  239. ViLCo-Bench: VIdeo Language COntinual learning Benchmark
  240. Can Long-Context Language Models Subsume Retrieval, RAG, SQL, and More?
  241. State-of-the-Art Review: The Use of Digital Twins to Support Artificial Intelligence-Guided Predictive Maintenance
  242. CU-Net: a U-Net architecture for efficient brain-tumor segmentation on BraTS 2019 dataset