mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 18 Sep 2024

272 papers

  1. The Phenomenology of Machine: A Comprehensive Analysis of the Sentience of the OpenAI-o1 Model Integrating Functionalism, Consciousness Theories, Active Inference, and AI ArchitecturesLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  2. Systematic Characterization of the Effectiveness of Alignment in Large Language Models for Categorical DecisionsLLM alignment / RLHF / preference optimisation → Medical LLM alignment
  3. VERA: Validation and Enhancement for Retrieval Augmented systemsRetrieval-augmented generation → RAG pipeline design and evaluation
  4. Multitask Mayhem: Unveiling and Mitigating Safety Gaps in LLMs Fine-tuningLLM safety and security → Safety alignment, refusal and guardrails
  5. Reward-Robust RLHF in LLMsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  6. Simultaneous Music Separation and Generation Using Multi-Track Latent Diffusion ModelsDiffusion models → Audio, speech and music
  7. Large Language Models are Strong Audio-Visual Speech Recognition LearnersMultimodal LLMs / vision-language models → Video understanding with MLLMs
  8. Understanding Implosion in Text-to-Image Generative ModelsDiffusion models → Robustness, privacy and adversarial aspects
  9. RAG-Modulo: Solving Sequential Tasks using Experience, Critics, and Language ModelsLLM agents and tool use → Agent memory systems
  10. Making Large Language Models into World Models with Precondition and Effect KnowledgeWorld models → World models for language agents
  11. Improving Soft-Capture Phase Success in Space Debris Removal Missions: Leveraging Deep Reinforcement Learning and Tactile FeedbackDeep reinforcement learning methods → RL for robot navigation and UAV control
  12. Mixture of Diverse Size ExpertsMixture-of-experts → Efficient MoE training and inference systems
  13. Vista3D: Unravel the 3D Darkside of a Single ImageDiffusion models → 3D, point cloud and scene generation
  14. DynaMo: In-Domain Dynamics Pretraining for Visuo-Motor ControlOffline RL and imitation learning from data → Robot manipulation imitation learning
  15. Qwen2-VL: Enhancing Vision-Language Model's Perception of the World at Any ResolutionMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  16. Qwen2.5-Coder Technical ReportLLM reasoning → Reasoning for agents, planning and code
  17. To CoT or not to CoT? Chain-of-thought helps mainly on math and symbolic reasoningLLM reasoning → Prompting and chain-of-thought reasoning
  18. MAgICoRe: Multi-Agent, Iterative, Coarse-to-Fine Refinement for ReasoningLLM reasoning → Reasoning for agents, planning and code +1
  19. MoRAG -- Multi-Fusion Retrieval Augmented Generation for Human MotionRetrieval-augmented generation → Multimodal RAG +1
  20. GRIN: GRadient-INformed MoEMixture-of-experts → MoE large language models
  21. Almost Sure Convergence of Linear Temporal Difference Learning with Arbitrary FeaturesDeep reinforcement learning methods → RL theory and sample complexity
  22. Linguini: A benchmark for language-agnostic linguistic reasoningLLM reasoning → Reasoning benchmarks and evaluation
  23. Qwen2.5-Math Technical Report: Toward Mathematical Expert Model via Self-ImprovementSynthetic data and self-improvement for LLMs → Synthetic reasoning data and bootstrapping
  24. Applications of Knowledge Distillation in Remote Sensing: A SurveyKnowledge distillation → Detection and dense prediction distillation
  25. SPRMamba: Surgical Phase Recognition for Endoscopic Submucosal Dissection with MambaState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  26. The Impact of Element Ordering on LM Agent PerformanceLLM agents and tool use → Web, search, and research agents
  27. Denoising diffusion models for high-resolution microscopy image restorationDiffusion models → Inverse problems and image restoration
  28. MeTHanol: Modularized Thinking Language Models with Intermediate Layer Thinking, Decoding and Bootstrapping ReasoningLLM reasoning → Prompting and chain-of-thought reasoning +1
  29. Handling Long-Term Safety and Uncertainty in Safe Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
  30. Topological Deep Learning with State-Space Models: A Mamba Approach for Simplicial ComplexesState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
  31. PhysMamba: Efficient Remote Physiological Measurement with SlowFast Temporal Difference MambaState-space sequence models (S4, Mamba) → Physiological signal modeling
  32. Mixture of Prompt Learning for Vision Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  33. Representing Positional Information in Generative World Models for Object ManipulationWorld models → Embodied and robot world models
  34. Putting Data at the Centre of Offline Multi-Agent Reinforcement LearningOffline RL and imitation learning from data → Offline multi-agent RL
  35. Data-Efficient Quadratic Q-Learning Using LMIsDeep reinforcement learning methods → RL for games and combinatorial optimization
  36. Efficacy of Synthetic Data as a BenchmarkSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  37. Data Efficient Acoustic Scene Classification using Teacher-Informed Confusing Class InstructionKnowledge distillation → Speech and audio distillation
  38. Reinforcement Learning with Lie Group Orientations for RoboticsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  39. Reinforcement Learning as an Improvement Heuristic for Real-World Production SchedulingDeep reinforcement learning methods → RL for energy, networks and operations
  40. Haptic-ACT: Bridging Human Intuition with Compliant Robotic Manipulation via Immersive VROffline RL and imitation learning from data → Robot manipulation imitation learning
  41. Generation of Complex 3D Human Motion by Temporal and Spatial Composition of Diffusion ModelsDiffusion models → Video generation
  42. LLM-wrapper: Black-Box Semantic-Aware Adaptation of Vision-Language Models for Referring Expression ComprehensionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  43. Mixture of Experts Fusion for Fake Audio Detection Using Frozen wav2vec 2.0Mixture-of-experts → Multimodal MoE models
  44. ABHINAW: A method for Automatic Evaluation of Typography within AI-Generated ImagesDiffusion models → Image generation, text-to-image and editing
  45. StableMamba: Distillation-free Scaling of Large SSMs for Images and VideosState-space sequence models (S4, Mamba) → Vision Mamba backbones
  46. Motivations, Challenges, Best Practices, and Benefits for Bots and Conversational Agents in Software Engineering: A Multivocal Literature ReviewLLM agents and tool use → Software engineering coding agents
  47. Retrieve, Annotate, Evaluate, Repeat: Leveraging Multimodal LLMs for Large-Scale Product Retrieval EvaluationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  48. MEOW: MEMOry Supervised LLM Unlearning Via Inverted FactsLLM safety and security → Machine unlearning
  49. DPI-TTS: Directional Patch Interaction for Fast-Converging and Style Temporal Modeling in Text-to-SpeechDiffusion models → Audio, speech and music
  50. RaggeDi: Diffusion-based State Estimation of Disordered Rags, Sheets, Towels and BlanketsDiffusion models → 3D, point cloud and scene generation
  51. Optimizing Job Shop Scheduling in the Furniture Industry: A Reinforcement Learning Approach Considering Machine Setup, Batch Variability, and IntralogisticsDeep reinforcement learning methods → RL for energy, networks and operations
  52. EFCM: Efficient Fine-tuning on Compressed Models for deployment of large models in medical image analysisKnowledge distillation → Distillation for medical imaging
  53. Development and bilingual evaluation of Japanese medical large language model within reasonably low computational resourcesLLM reasoning → Clinical and biomedical applications
  54. Synthesizing Evolving Symbolic Representations for Autonomous SystemsDeep reinforcement learning methods → RL for robot navigation and UAV control
  55. InverseMeetInsert: Robust Real Image Editing via Geometric Accumulation Inversion in Guided Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  56. TART: An Open-Source Tool-Augmented Framework for Explainable Table-based ReasoningLLM reasoning → Knowledge- and tool-augmented reasoning
  57. From Lists to Emojis: How Format Bias Affects Model AlignmentLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  58. Harnessing LLMs for API Interactions: A Framework for Classification and Synthetic Data GenerationSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  59. From Words to Wheels: Automated Style-Customized Policy Generation for Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  60. ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender SystemsLLM agents and tool use → Agent threats, guardrails and governance
  61. GUNet: A Graph Convolutional Network United Diffusion Model for Stable and Diversity Pose GenerationDiffusion models → 3D, point cloud and scene generation
  62. SRIF: Semantic Shape Registration Empowered by Diffusion-based Image Morphing and Flow EstimationDiffusion models → 3D, point cloud and scene generation
  63. EnhancedRL: An Enhanced-State Reinforcement Learning Algorithm for Multi-Task Fusion in Recommender SystemsDeep reinforcement learning methods → RL training of language and agent models
  64. Combining LLM Code Generation with Formal Specifications and Reactive Program Synthesis
  65. Controllable Shape Modeling with Neural Generalized Cylinder
  66. BodyShapeGPT: SMPL Body Shape Manipulation with LLMs
  67. Artificial intelligence inspired freeform optics design: a review
  68. Bushfire Severity Modelling and Future Trend Prediction Across Australia: Integrating Remote Sensing and Machine Learning
  69. Estimating Body Volume and Height Using 3D Data
  70. A Data Envelopment Analysis Approach for Assessing Fairness in Resource Allocation: Application to Kidney Exchange Programs
  71. TaCIE: Enhancing Instruction Comprehension in Large Language Models through Task-Centred Instruction Evolution
  72. DifFaiRec: Generative Fair Recommender with Conditional Diffusion Model
  73. Raising the Bar(ometer): Identifying a User's Stair and Lift Usage Through Wearable Sensor Data Analysis
  74. Logic-Free Building Automation: Learning the Control of Room Facilities with Wall Switches and Ceiling Camera
  75. RoMo: A Robust Solver for Full-body Unlabeled Optical Motion Capture
  76. Navigation with VLM framework: Towards Going to Any Language
  77. Robust Symmetry Detection via Riemannian Langevin Dynamics
  78. SpoofCeleb: Speech Deepfake Detection and SASV In The Wild
  79. Memory Networks: Towards Fully Biologically Plausible Learning
  80. Geometric Relational Embeddings
  81. MedCodER: A Generative AI Assistant for Medical Coding
  82. Fine-Tuning a Time Series Foundation Model with Wasserstein Loss
  83. Trajectory Anomaly Detection with Language Models
  84. Novel Saliency Analysis for the Forward Forward Algorithm
  85. Combustion Condition Identification using a Decision Tree based Machine Learning Algorithm Applied to a Model Can Combustor with High Shear Swirl Injector
  86. Recommendation with Generative Models
  87. A constrained optimization approach to improve robustness of neural networks
  88. Magika: AI-Powered Content-Type Detection
  89. Local Explanations and Self-Explanations for Assessing Faithfulness in black-box LLMs
  90. FAST GDRNPP: Improving the Speed of State-of-the-Art 6D Object Pose Estimation
  91. Optical Flow Matters: an Empirical Comparative Study on Fusing Monocular Extracted Modalities for Better Steering
  92. Extracting Memorized Training Data via Decomposition
  93. Advancing Cucumber Disease Detection in Agriculture through Machine Vision and Drone Technology
  94. Heckman Selection Contaminated Normal Model
  95. Axial Attention Transformer Networks: A New Frontier in Breast Cancer Detection
  96. Bridging the Gap Between Approximation and Learning via Optimal Approximation by ReLU MLPs of Maximal Regularity
  97. Deep vessel segmentation with joint multi-prior encoding
  98. Scale-specific auxiliary multi-task contrastive learning for deep liver vessel segmentation
  99. SplitVAEs: Decentralized scenario generation from siloed data for stochastic optimization problems
  100. ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning
All 272
  1. Depth Estimation Based on 3D Gaussian Splatting Siamese Defocus
  2. A large-scale study of performance and equity of commercial remote identity verification technologies across demographics
  3. Measuring Sound Symbolism in Audio-visual Models
  4. Self-Supervised Pre-training Tasks for an fMRI Time-series Transformer in Autism Detection
  5. Amortized Variational Inference for Deep Gaussian Processes
  6. Autoformalization of Game Descriptions using Large Language Models
  7. JKO for Landau: a variational particle method for homogeneous Landau equation
  8. SANE: Strategic Autonomous Non-Smooth Exploration for Multiple Optima Discovery in Multi-modal and Non-differentiable Black-box Functions
  9. In-Context Learning of Linear Systems: Generalization Theory and Applications to Operator Learning
  10. MetaPix: A Data-Centric AI Development Platform for Efficient Management and Utilization of Unstructured Computer Vision Data
  11. Unsupervised Feature Orthogonalization for Learning Distortion-Invariant Representations
  12. Mastering Chess with a Transformer Model
  13. User-friendly Foundation Model Adapters for Multivariate Time Series Classification
  14. Detecting LGBTQ+ Instances of Cyberbullying
  15. WiLoR: End-to-end 3D Hand Localization and Reconstruction in-the-wild
  16. MQA-KEAL: Multi-hop Question Answering under Knowledge Editing for Arabic Language
  17. Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks
  18. GCA-SUNet: A Gated Context-Aware Swin-UNet for Exemplar-Free Counting
  19. Conformal Fields from Neural Networks
  20. ARTICLE: Annotator Reliability Through In-Context Learning
  21. Assessing Reusability of Deep Learning-Based Monotherapy Drug Response Prediction Models Trained with Omics Data
  22. SemAI: Semantic Artificial Intelligence-enhanced DNA storage for Internet-of-Things
  23. Multivariate Analysis of Gut Microbiota Composition and Prevalence of Gastric Cancer
  24. Gender Representation and Bias in Indian Civil Service Mock Interviews
  25. Bundle Adjustment in the Eager Mode
  26. Massively Multi-Person 3D Human Motion Forecasting with Scene Context
  27. A Controlled Study on Long Context Extension and Generalization in LLMs
  28. Finetuning Language Models to Emit Linguistic Expressions of Uncertainty
  29. Computational Dynamical Systems
  30. You Only Read Once (YORO): Learning to Internalize Database Knowledge for Text-to-SQL
  31. multiPI-TransBTS: A Multi-Path Learning Framework for Brain Tumor Image Segmentation Based on Multi-Physical Information
  32. Precise Forecasting of Sky Images Using Spatial Warping
  33. JEAN: Joint Expression and Audio-guided NeRF-based Talking Face Generation
  34. Autopet III challenge: Incorporating anatomical knowledge into nnUNet for lesion segmentation in PET/CT
  35. Abductive explanations of classifiers under constraints: Complexity and properties
  36. Decoding Style: Efficient Fine-Tuning of LLMs for Image-Guided Outfit Recommendation with Preference
  37. Takin: A Cohort of Superior Quality Zero-shot Speech Generation Models
  38. BERT-VBD: Vietnamese Multi-Document Summarization Framework
  39. Optimal Visual Search with Highly Heuristic Decision Rules
  40. Low Frame-rate Speech Codec: a Codec Designed for Fast High-quality Speech LLM Training and Inference
  41. Stronger Baseline Models -- A Key Requirement for Aligning Machine Learning Research with Clinical Utility
  42. Pareto Data Framework: Steps Towards Resource-Efficient Decision Making Using Minimum Viable Data (MVD)
  43. Measuring Human and AI Values Based on Generative Psychometrics with Large Language Models
  44. FedLF: Adaptive Logit Adjustment and Feature Optimization in Federated Long-Tailed Learning
  45. Symmetry-Enriched Learning: A Category-Theoretic Framework for Robust Machine Learning Models
  46. Brain-Streams: fMRI-to-Image Reconstruction with Multi-modal Guidance
  47. Skill matching at scale: freelancer-project alignment for efficient multilingual candidate retrieval
  48. IMRL: Integrating Visual, Physical, Temporal, and Geometric Representations for Enhanced Food Acquisition
  49. Towards Interpretable End-Stage Renal Disease (ESRD) Prediction: Utilizing Administrative Claims Data with Explainable AI Techniques
  50. Unsupervised Domain Adaptation Via Data Pruning
  51. Online Refractive Camera Model Calibration in Visual Inertial Odometry
  52. PAD-FT: A Lightweight Defense for Backdoor Attacks via Data Purification and Fine-Tuning
  53. Fitting Multilevel Factor Models
  54. Generalized Robot Learning Framework
  55. PARAPHRASUS : A Comprehensive Benchmark for Evaluating Paraphrase Detection Models
  56. Cartan moving frames and the data manifolds
  57. Extended Deep Submodular Functions
  58. Using Large Language Models to Generate Clinical Trial Tables and Figures
  59. Understanding the Effects of the Baidu-ULTR Logging Policy on Two-Tower Models
  60. ASR Benchmarking: Need for a More Representative Conversational Dataset
  61. SFDA-rPPG: Source-Free Domain Adaptive Remote Physiological Measurement with Spatio-Temporal Consistency
  62. A Unified Framework for Neural Computation and Learning Over Time
  63. Multi-Sensor Deep Learning for Glacier Mapping
  64. On Vision Transformers for Classification Tasks in Side-Scan Sonar Imagery
  65. LEMON: Localized Editing with Mesh Optimization and Neural Shaders
  66. Promise and Peril of Collaborative Code Generation Models: Balancing Effectiveness and Memorization
  67. Computational Imaging for Long-Term Prediction of Solar Irradiance
  68. All-in-one foundational models learning across quantum chemical levels
  69. BRDF-NeRF: Neural Radiance Fields with Optical Satellite Images and BRDF Modelling
  70. ChefFusion: Multimodal Foundation Model Integrating Recipe and Food Image Generation
  71. Panoptic-Depth Forecasting
  72. Towards Global Localization using Multi-Modal Object-Instance Re-Identification
  73. "It Might be Technically Impressive, But It's Practically Useless to us": Motivations, Practices, Challenges, and Opportunities for Cross-Functional Collaboration around AI within the News Industry
  74. Unraveling the Hessian: A Key to Smooth Convergence in Loss Function Landscapes
  75. Additive-feature-attribution methods: a review on explainable artificial intelligence for fluid dynamics and heat transfer
  76. An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applications
  77. Intraoperative Registration by Cross-Modal Inverse Neural Rendering
  78. MitoSeg: Mitochondria Segmentation Tool
  79. Generation of Uncertainty-Aware High-Level Spatial Concepts in Factorized 3D Scene Graphs via Graph Neural Networks
  80. Sampling Latent Material-Property Information From LLM-Derived Embedding Representations
  81. Unveiling the Black Box: Independent Functional Module Evaluation for Bird's-Eye-View Perception Model
  82. A Chinese Continuous Sign Language Dataset Based on Complex Environments
  83. Tracking Any Point with Frame-Event Fusion Network at High Frame Rate
  84. GaussianHeads: End-to-End Learning of Drivable Gaussian Head Avatars from Coarse-to-fine Representations
  85. Differentiable Collision-Supervised Tooth Arrangement Network with a Decoupling Perspective
  86. An Explainable Machine Learning Approach to Traffic Accident Fatality Prediction
  87. Agglomerative Token Clustering
  88. LLMs in Education: Novel Perspectives, Challenges, and Opportunities
  89. Tumor aware recurrent inter-patient deformable image registration of computed tomography scans with lung cancer
  90. AlignBot: Aligning VLM-powered Customized Task Planning with User Reminders Through Fine-Tuning for Household Robots
  91. Finding the Subjective Truth: Collecting 2 Million Votes for Comprehensive Gen-AI Model Evaluation
  92. Less Memory Means smaller GPUs: Backpropagation with Compressed Activations
  93. LLMs + Persona-Plug = Personalized LLMs
  94. Multi-Grid Graph Neural Networks with Self-Attention for Computational Mechanics
  95. Secure Control Systems for Autonomous Quadrotors against Cyber-Attacks
  96. DocMamba: Efficient Document Pre-training with State Space Model
  97. Out-of-Distribution Detection: A Task-Oriented Survey of Recent Advances
  98. SpheriGait: Enriching Spatial Representation via Spherical Projection for LiDAR-based Gait Recognition
  99. LEMMo-Plan: LLM-Enhanced Learning from Multi-Modal Demonstration for Planning Sequential Contact-Rich Manipulation Tasks
  100. Location based Probabilistic Load Forecasting of EV Charging Sites: Deep Transfer Learning with Multi-Quantile Temporal Convolutional Network
  101. Tight and Efficient Upper Bound on Spectral Norm of Convolutional Layers
  102. Edge-Based Graph Component Pooling
  103. Physically-Based Photometric Bundle Adjustment in Non-Lambertian Environments
  104. An efficient wavelet-based physics-informed neural network for multiscale problems
  105. Graph Neural Network-State Predictive Information Bottleneck (GNN-SPIB) approach for learning molecular thermodynamics and kinetics
  106. NT-ViT: Neural Transcoding Vision Transformers for EEG-to-fMRI Synthesis
  107. Extract-and-Abstract: Unifying Extractive and Abstractive Summarization within Single Encoder-Decoder Framework
  108. End-to-End Probabilistic Geometry-Guided Regression for 6DoF Object Pose Estimation
  109. SymFace: Additional Facial Symmetry Loss for Deep Face Recognition
  110. EventAug: Multifaceted Spatio-Temporal Data Augmentation Methods for Event-based Learning
  111. Accelerating the Training and Improving the Reliability of Machine-Learned Interatomic Potentials for Strongly Anharmonic Materials through Active Learning
  112. Constraint Guided AutoEncoders for Joint Optimization of Condition Indicator Estimation and Anomaly Detection in Machine Condition Monitoring
  113. Latent fingerprint enhancement for accurate minutiae detection
  114. The Factuality of Large Language Models in the Legal Domain
  115. Efficient Low-Resolution Face Recognition via Bridge Distillation
  116. Distilling Channels for Efficient Deep Tracking
  117. Smart Data-Driven GRU Predictor for SnO2 Thin films Characteristics
  118. Explaining Non-monotonic Normative Reasoning using Argumentation Theory with Deontic Logic
  119. Symmetry-Based Structured Matrices for Efficient Approximately Equivariant Networks
  120. Knowledge Adaptation Network for Few-Shot Class-Incremental Learning
  121. One Map to Find Them All: Real-time Open-Vocabulary Mapping for Zero-shot Multi-Object Navigation
  122. Consistent Estimation of a Class of Distances Between Covariance Matrices
  123. NPAT Null-Space Projected Adversarial Training Towards Zero Deterioration
  124. Cross-Organ and Cross-Scanner Adenocarcinoma Segmentation using Rein to Fine-tune Vision Foundation Models
  125. Neural Encoding for Image Recall: Human-Like Memory
  126. RockTrack: A 3D Robust Multi-Camera-Ken Multi-Object Tracking Framework
  127. Exploring Gaze Pattern Differences Between Autistic and Neurotypical Children: Clustering, Visualisation, and Prediction
  128. HARP: Human-Assisted Regrouping with Permutation Invariant Critic for Multi-Agent Reinforcement Learning
  129. Adaptive Selection of Sampling-Reconstruction in Fourier Compressed Sensing
  130. Human-like Affective Cognition in Foundation Models
  131. DETECLAP: Enhancing Audio-Visual Representation Learning with Object Information
  132. Enabling Real-Time Conversations with Minimal Training Costs
  133. Revealing and Mitigating the Challenge of Detecting Character Knowledge Errors in LLM Role-Playing
  134. Free-VSC: Free Semantics from Visual Foundation Models for Unsupervised Video Semantic Compression
  135. From exponential to finite/fixed-time stability: Applications to optimization
  136. LFIC-DRASC: Deep Light Field Image Compression Using Disentangled Representation and Asymmetrical Strip Convolution
  137. RopeBEV: A Multi-Camera Roadside Perception Network in Bird's-Eye-View
  138. Discovering Conceptual Knowledge with Analytic Ontology Templates for Articulated Objects
  139. FLARE: Fusing Language Models and Collaborative Architectures for Recommender Enhancement
  140. Monomial Matrix Group Equivariant Neural Functional Networks
  141. ORB-SfMLearner: ORB-Guided Self-supervised Visual Odometry with Selective Online Adaptation
  142. SLAM assisted 3D tracking system for laparoscopic surgery
  143. Automated detection of underdiagnosed medical conditions via opportunistic imaging
  144. Recurrent Interpolants for Probabilistic Time Series Prediction
  145. Gradient-Driven 3D Segmentation and Affordance Transfer in Gaussian Splatting Using 2D Masks
  146. Enhancing Complex Formula Recognition with Hierarchical Detail-Focused Network
  147. Hypergraph-based Motion Generation with Multi-modal Interaction Relational Reasoning
  148. Towards Explainable Goal Recognition Using Weight of Evidence (WoE): A Human-Centered Approach
  149. RUIE: Retrieval-based Unified Information Extraction using Large Language Model
  150. Anticipating Oblivious Opponents in Stochastic Games
  151. Agent Aggregator with Mask Denoise Mechanism for Histopathology Whole Slide Image Analysis
  152. Training with Differential Privacy: A Gradient-Preserving Noise Reduction Approach with Provable Security
  153. Bridging the Domain Gap for Flight-Ready Spaceborne Vision
  154. Few-Shot Class-Incremental Learning with Non-IID Decentralized Data
  155. VL-Reader: Vision and Language Reconstructor is an Effective Scene Text Recognizer
  156. How to Build the Virtual Cell with Artificial Intelligence: Priorities and Opportunities
  157. Enhancing Semi-Supervised Learning via Representative and Diverse Sample Selection
  158. Relax DARTS: Relaxing the Constraints of Differentiable Architecture Search for Eye Movement Recognition
  159. Art and Science of Quantizing Large-Scale Models: A Comprehensive Overview
  160. Hard-Label Cryptanalytic Extraction of Neural Network Models
  161. Few-Shot Learning Approach on Tuberculosis Classification Based on Chest X-Ray Images
  162. Combating Phone Scams with LLM-based Detection: Where Do We Stand?
  163. DAF-Net: A Dual-Branch Feature Decomposition Fusion Network with Domain Adaptive for Infrared and Visible Image Fusion
  164. Enhancing PM2.5 Data Imputation and Prediction in Air Quality Monitoring Networks Using a KNN-SINDy Hybrid Model
  165. BanStereoSet: A Dataset to Measure Stereotypical Social Biases in LLMs for Bangla
  166. "A Woman is More Culturally Knowledgeable than A Man?": The Effect of Personas on Cultural Norm Interpretation in LLMs
  167. PainDiffusion: Learning to Express Pain
  168. A Metric Hybrid Planning Approach to Solving Pandemic Planning Problems with Simple SIR Models
  169. Multimodal Generalized Category Discovery
  170. Hyperspectral Image Classification Based on Faster Residual Multi-branch Spiking Neural Network
  171. PieClam: A Universal Graph Autoencoder Based on Overlapping Inclusive and Exclusive Communities
  172. HRA: A Multi-Criteria Framework for Ranking Metaheuristic Optimization Algorithms