mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 9 Apr 2025

272 papers

  1. Socrates or Smartypants: Testing Logic Reasoning Capabilities of Large Language Models with Logic Programming-based Test OraclesLLM reasoning → Reasoning benchmarks and evaluation
  2. Poly-Vector Retrieval: Reference and Content Embeddings for Legal DocumentsRetrieval-augmented generation → Legal and financial RAG
  3. SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning ModelsLLM reasoning → Reasoning for agents, planning and code +2
  4. Decoupling Contrastive Decoding: Robust Hallucination Mitigation in Multimodal Large Language ModelsLLM reasoning → Hallucination detection and mitigation +2
  5. Exploring the Effectiveness and Interpretability of Texts in LLM-based Time Series ModelsMechanistic interpretability → Interpreting time-series and weather models
  6. Linguistic Interpretability of Transformer-based Language Models: a systematic reviewMechanistic interpretability → Knowledge and representations inside LLMs
  7. Neuron-level Balance between Stability and Plasticity in Deep Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  8. MoEDiff-SR: Mixture of Experts-Guided Diffusion Model for Region-Adaptive MRI Super-ResolutionDiffusion models → Medical imaging and segmentation +1
  9. Modeling Response Consistency in Multi-Agent LLM Systems: A Comparative Analysis of Shared and Separate Context ApproachesLLM agents and tool use → General LLM agent frameworks and benchmarks
  10. Bridging Deep Reinforcement Learning and Motion Planning for Model-Free Navigation in Cluttered EnvironmentsDeep reinforcement learning methods → RL for robot navigation and UAV control
  11. Agentic LMs: Hunting Down Test SmellsLLM agents and tool use → Software engineering coding agents
  12. Better Decisions through the Right Causal World ModelWorld models → World models for language agents
  13. MESA: Text-Driven Terrain Generation Using Latent Diffusion and Global Copernicus DataDiffusion models → Inverse problems and image restoration
  14. Perception in ReflectionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  15. R2E-Gym: Procedural Environments and Hybrid Verifiers for Scaling Open-Weights SWE AgentsLLM reasoning → Reasoning for agents, planning and code +1
  16. Holistic Capability Preservation: Towards Compact Yet Comprehensive Reasoning ModelsLLM reasoning → Test-time compute and efficient thinking +1
  17. Glocalizing Generative AI in Education for the Global South: The Design Case of 21st Century Teacher Educator AI for GhanaRetrieval-augmented generation → Agentic RAG, agents and memory
  18. Neural Motion Simulator: Pushing the Limit of World Models in Reinforcement LearningWorld models → World models for navigation +1
  19. AssistanceZero: Scalably Solving Assistance GamesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  20. KG-LLM-Bench: A Scalable Benchmark for Evaluating LLM Reasoning on Textualized Knowledge GraphsLLM reasoning → Knowledge- and tool-augmented reasoning
  21. A Sober Look at Progress in Language Model Reasoning: Pitfalls and Paths to ReproducibilityLLM reasoning → Reasoning benchmarks and evaluation
  22. Self-Steering Language ModelsLLM reasoning → Test-time compute and efficient thinking
  23. DeduCE: Deductive Consistency as a Framework to Evaluate LLM ReasoningLLM reasoning → Mathematical reasoning
  24. SkillWeaver: Web Agents can Self-Improve by Discovering and Honing SkillsLLM agents and tool use → Web, search, and research agents
  25. Kaleidoscope: In-language Exams for Massively Multilingual Vision EvaluationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  26. A Survey on Personalized and Pluralistic Preference Alignment in Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  27. To Backtrack or Not to Backtrack: When Sequential Search Limits Model ReasoningLLM reasoning → Test-time compute and efficient thinking
  28. A Unified Agentic Framework for Evaluating Conditional Image GenerationLLM agents and tool use → Multimodal and embodied agents
  29. Evaluating Retrieval Augmented Generative Models for Document Queries in Transportation SafetyRetrieval-augmented generation → Agentic RAG, agents and memory
  30. Latent Diffusion U-Net Representations Contain Positional Embeddings and AnomaliesDiffusion models → Diffusion foundations and sampling
  31. Free Random Projection for In-Context Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  32. VideoChat-R1: Enhancing Spatio-Temporal Perception via Reinforcement Fine-TuningLLM reasoning → Multimodal reasoning
  33. PathSegDiff: Pathology Segmentation using Diffusion model representationsDiffusion models → Medical imaging and segmentation
  34. Review of Case-Based Reasoning for LLM Agents: Theoretical Foundations, Architectural Components, and Cognitive IntegrationLLM reasoning → Reasoning for agents, planning and code +1
  35. Are Vision-Language Models Ready for Dietary Assessment? Exploring the Next Frontier in AI-Powered Food Image RecognitionMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  36. MovSAM: A Single-image Moving Object Segmentation Framework Based on Deep ThinkingLLM reasoning → Multimodal reasoning +1
  37. EIDT-V: Exploiting Intersections in Diffusion Trajectories for Model-Agnostic, Zero-Shot, Training-Free Text-to-Video GenerationDiffusion models → Video generation
  38. CasTex: Cascaded Text-to-Texture Synthesis via Explicit Texture Maps and Physically-Based ShadingDiffusion models → 3D, point cloud and scene generation
  39. ZIP: An Efficient Zeroth-order Prompt Tuning for Black-box Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  40. Inducing Programmatic Skills for Agentic TasksLLM agents and tool use → Web, search, and research agents
  41. Regret Bounds for Robust Online Decision MakingDeep reinforcement learning methods → RL theory and sample complexity
  42. DyDiT++: Diffusion Transformers with Timestep and Spatial Dynamics for Efficient Visual GenerationDiffusion models → Diffusion foundations and sampling
  43. Domain-Specific Pruning of Large Mixture-of-Experts Models with Few-shot DemonstrationsMixture-of-experts → Expert routing strategies
  44. AI, Help Me Thinkunicodex2014but for Myself: Assisting People in Complex Decision-Making by Providing Different Kinds of Cognitive SupportLLM reasoning → Reasoning benchmarks and evaluation
  45. FedMerge: Federated Personalization via Model MergingMixture-of-experts → Federated mixture-of-experts
  46. DIMA: DIffusing Motion Artifacts for unsupervised correction in brain MRI imagesDiffusion models → Medical imaging and segmentation
  47. FamilyTool: A Multi-hop Personalized Tool Use BenchmarkLLM agents and tool use → Tool learning and function calling
  48. Compass Control: Multi Object Orientation Control for Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
  49. Learning global control of underactuated systems with Model-Based Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  50. SDHN: Skewness-Driven Hypergraph Networks for Enhanced Localized Multi-Robot CoordinationDeep reinforcement learning methods → RL for games and combinatorial optimization
  51. Hyperparameter Optimisation with Practical Interpretability and Explanation Methods in Probabilistic Curriculum LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  52. Probability Density Geodesics in Image Diffusion Latent SpaceDiffusion models → Diffusion foundations and sampling
  53. RAGME: Retrieval Augmented Video Generation for Enhanced Motion RealismRetrieval-augmented generation → Multimodal RAG +1
  54. Domain-Conditioned Scene Graphs for State-Grounded Task PlanningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  55. Leveraging Machine Unlearning for Cost-Efficient Preference AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
  56. A Neuro-inspired Interpretation of Unlearning in Large Language Models through Sample-level Unlearning DifficultyLLM safety and security → Machine unlearning
  57. ThoughtProbe: Classifier-Guided Thought Space Exploration Leveraging LLM Intrinsic ReasoningLLM reasoning → Test-time compute and efficient thinking
  58. HGMamba: Enhancing 3D Human Pose Estimation with a HyperGCN-Mamba NetworkState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models
  59. SCI-Reason: A Dataset with Chain-of-Thought Rationales for Complex Multimodal Reasoning in Academic AreasMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  60. Human-like compositional learning of visually-grounded concepts using synthetic environmentsDeep reinforcement learning methods → RL training of language and agent models
  61. AgentFM: Role-Aware Failure Management for Distributed Databases with LLM-Driven Multi-AgentsLLM agents and tool use → Software engineering coding agents
  62. Benchmarking Multimodal CoT Reward Model Stepwise by Visual ProgramLLM reasoning → Multimodal reasoning +1
  63. CAFE-AD: Cross-Scenario Adaptive Feature Enhancement for Trajectory Planning in Autonomous DrivingEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
  64. Right Prediction, Wrong Reasoning: Uncovering LLM Misalignment in RA Disease DiagnosisLLM reasoning → Clinical and biomedical applications
  65. Bypassing Safety Guardrails in LLMs Using HumorLLM safety and security → Safety alignment, refusal and guardrails
  66. Defending LLM Watermarking Against Spoofing Attacks with Contrastive Representation LearningLLM safety and security → Watermarking generated content and models
  67. Diffusion Factor Models: Generating High-Dimensional Returns with Factor StructureDiffusion models → Flow matching, time series and science
  68. Thinking Out Loud: Do Reasoning Models Know When They're Right?LLM reasoning → Test-time compute and efficient thinking
  69. FuseRL: Dense Preference Optimization for Heterogeneous Model FusionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  70. DiffusionCom: Structure-Aware Multimodal Diffusion Model for Multimodal Knowledge Graph CompletionDiffusion models → Discrete and text diffusion
  71. Polygon: Symbolic Reasoning for SQL using Conflict-Driven Under-Approximation SearchLLM reasoning → Knowledge- and tool-augmented reasoning
  72. OPAL: Encoding Causal Understanding of Physical Systems for Robot LearningVision-language-action models → Reasoning and chain-of-thought in VLA +1
  73. Missing Premise exacerbates Overthinking: Are Reasoning Models losing Critical Thinking Skill?LLM reasoning → Test-time compute and efficient thinking
  74. AI-Assisted Conversational Interviewing: Effects on Data Quality and Respondent Experience
  75. Exploring the Impact of Personality Traits on Conversational Recommender Systems: A Simulation with Large Language Models
  76. Learning Optimal Prompt Ensemble for Multi-source Visual Prompt Transfer
  77. Beyond Reproducibility: Advancing Zero-shot LLM Reranking Efficiency with Setwise Insertion
  78. PinRec: Unified Generative Retrieval for Pinterest Recommender Systems
  79. LayerFlow: Layer-wise Exploration of LLM Embeddings using Uncertainty-aware Interlinked Projections
  80. Human-Oriented Image Retrieval System (HORSE): A Neuro-Symbolic Approach to Optimizing Retrieval of Previewed Images
  81. ColonScopeX: Leveraging Explainable Expert Systems with Multimodal Data for Improved Early Diagnosis of Colorectal Cancer
  82. FM-LoRA: Factorized Low-Rank Meta-Prompting for Continual Learning
  83. Probabilistic QoS Metric Forecasting in Delay-Tolerant Networks Using Conditional Diffusion Models on Latent Dynamics
  84. CAReDiO: Cultural Alignment via Representativeness and Distinctiveness Guided Data Optimization
  85. From Tokenizer Bias to Backbone Capability: A Controlled Study of LLMs for Time Series Forecasting
  86. Exploring utilization of generative AI for research and education in data-driven materials science
  87. A Graph-Enhanced DeepONet Approach for Real-Time Estimating Hydrogen-Enriched Natural Gas Flow under Variable Operations
  88. When Federated Learning Meets Quantum Computing: Survey and Research Opportunities
  89. Mechanistic Anomaly Detection for "Quirky" Language Models
  90. Analogical Learning for Cross-Scenario Generalization: Framework and Application to Intelligent Localization
  91. PriM: Principle-Inspired Material Discovery through Multi-Agent Collaboration
  92. Endowing Embodied Agents with Spatial Reasoning Capabilities for Vision-and-Language Navigation
  93. Generative AI in Live Operations: Evidence of Productivity Gains in Cybersecurity and Endpoint Management
  94. Estimating Item Difficulty Using Large Language Models and Tree-Based Machine Learning Algorithms
  95. A Python toolkit for dealing with Petri nets over ontological graphs
  96. Have we unified image generation and understanding yet? An empirical study of GPT-4o's image generation ability
  97. More diverse more adaptive: Comprehensive Multi-task Learning for Improved LLM Domain Adaptation in E-commerce
  98. Leveraging deep learning for plant disease identification: a bibliometric analysis in SCOPUS from 2018 to 2024
  99. Learning to erase quantum states: thermodynamic implications of quantum learning theory
  100. FLASH: Flexible Learning of Adaptive Sampling from History in Temporal Graph Neural Networks
All 272
  1. Zeus: Zero-shot LLM Instruction for Union Segmentation in Multimodal Medical Imaging
  2. DLTPose: 6DoF Pose Estimation From Accurate Dense Surface Point Estimates
  3. Objaverse++: Curated 3D Object Dataset with Quality Annotations
  4. Bregman-Hausdorff divergence: strengthening the connections between computational geometry and machine learning
  5. Alice: Proactive Learning with Teacher's Demonstrations for Weak-to-Strong Generalization
  6. Multilingual MFA: Forced Alignment on Low-Resource Related Languages
  7. Identifying regions of interest in whole slide images of renal cell carcinoma
  8. Follow-the-Perturbed-Leader Approaches Best-of-Both-Worlds for the m-Set Semi-Bandit Problems
  9. PAYADOR: A Minimalist Approach to Grounding Language Models on Structured Data for Interactive Storytelling and Role-playing Games
  10. CEC-MMR: Cross-Entropy Clustering Approach to Multi-Modal Regression
  11. Data Fusion of Deep Learned Molecular Embeddings for Property Prediction
  12. MDIT: A Model-free Data Interpolation Method for Diverse Instruction Tuning
  13. A Scalable Approach to Clustering Embedding Projections
  14. RAISE: Reinforced Adaptive Instruction Selection For Large Language Models
  15. A Multi-Phase Analysis of Blood Culture Stewardship: Machine Learning Prediction, Expert Recommendation Assessment, and LLM Automation
  16. Language Modeling for the Future of Finance: A Survey into Metrics, Tasks, and Data Opportunities
  17. Evaluating Parameter-Based Training Performance of Neural Networks and Variational Quantum Circuits
  18. Adapting to Online Distribution Shifts in Deep Learning: A Black-Box Approach
  19. Quantifying Epistemic Uncertainty in Absolute Pose Regression
  20. Few-Shot Adaptation of Grounding DINO for Agricultural Domain
  21. Resource-efficient Inference with Foundation Model Programs
  22. A new training approach for text classification in Mental Health: LatentGLoss
  23. Prototype-Based Continual Learning with Label-free Replay Buffer and Cluster Preservation Loss
  24. Earth-like planet predictor: A machine learning approach
  25. Visual-Aware Speech Recognition for Noisy Scenarios
  26. ConceptCarve: Dynamic Realization of Evidence
  27. Evolutionary Machine Learning meets Self-Supervised Learning: a comprehensive survey
  28. SemEval-2025 Task 5: LLMs4Subjects -- LLM-based Automated Subject Tagging for a National Technical Library's Open-Access Catalog
  29. Face-LLaVA: Facial Expression and Attribute Understanding through Instruction Tuning
  30. HypoEval: Hypothesis-Guided Evaluation for Natural Language Generation
  31. Trustworthy AI Must Account for Interactions
  32. Multi-Object Tracking for Collision Avoidance Using Multiple Cameras in Open RAN Networks
  33. GAAPO: Genetic Algorithmic Applied to Prompt Optimization
  34. PLM-eXplain: Divide and Conquer the Protein Embedding Space
  35. Compound Fault Diagnosis for Train Transmission Systems Using Deep Learning with Fourier-enhanced Representation
  36. Deep Sturm--Liouville: From Sample-Based to 1D Regularization with Learnable Orthogonal Basis Functions
  37. Sculpting Subspaces: Constrained Full Fine-Tuning in LLMs for Continual Learning
  38. OLMoTrace: Tracing Language Model Outputs Back to Trillions of Training Tokens
  39. FlashDepth: Real-time Streaming Video Depth Estimation at 2K Resolution
  40. Are We Done with Object-Centric Learning?
  41. OmniCaptioner: One Captioner to Rule Them All
  42. Identifying Unknown Stochastic Dynamics via Finite expression methods
  43. GenDoP: Auto-regressive Camera Trajectory Generation as a Director of Photography
  44. Detecting AI-generated Artwork
  45. HalluciNot: Hallucination Detection Through Context and Common Knowledge Verification
  46. Enhancing Downstream Analysis in Genome Sequencing: Species Classification While Basecalling
  47. Teaching pathology foundation models to accurately predict gene expression with parameter efficient knowledge transfer
  48. Generalized Semantic Contrastive Learning via Embedding Side Information for Few-Shot Object Detection
  49. Pi-NeSy: A Possibilistic Neuro-Symbolic Approach
  50. TASTE: Text-Aligned Speech Tokenization and Embedding for Spoken Language Modeling
  51. Reducing Class Bias In Data-Balanced Datasets Through Hardness-Based Resampling
  52. Distilling Textual Priors from LLM to Efficient Image Fusion
  53. Using ML filters to help automated vulnerability repairs: when it helps and when it doesn't
  54. Glossy Object Reconstruction with Cost-effective Polarized Acquisition
  55. Data Augmentation and Hyperparameter Tuning for Low-Resource MFA
  56. Adapting GT2-FLS for Uncertainty Quantification: A Blueprint Calibration Strategy
  57. FAME: Introducing Fuzzy Additive Models for Explainable AI
  58. Assumption-free fidelity bounds for hardware noise characterization
  59. Neural Signal Compression using RAMAN tinyML Accelerator for BCI Applications
  60. RayFronts: Open-Set Semantic Ray Frontiers for Online Scene Understanding and Exploration
  61. Dissimilar Batch Decompositions of Random Datasets
  62. Enhancing Metabolic Syndrome Prediction with Hybrid Data Balancing and Counterfactuals
  63. SIGMAN:Scaling 3D Human Gaussian Generation with Millions of Assets
  64. Artificial Intelligence for Pediatric Height Prediction Using Large-Scale Longitudinal Body Composition Data
  65. Wheat3DGS: In-field 3D Reconstruction, Instance Segmentation and Phenotyping of Wheat Heads with Gaussian Splatting
  66. Towards LLMs Robustness to Changes in Prompt Format Styles
  67. A Deep Single Image Rectification Approach for Pan-Tilt-Zoom Cameras
  68. RNN-Transducer-based Losses for Speech Recognition on Noisy Targets
  69. Efficient Self-Supervised Learning for Earth Observation via Dynamic Dataset Curation
  70. Two by Two: Learning Multi-Task Pairwise Objects Assembly for Generalizable Robot Manipulation
  71. A Comparison of Deep Learning Methods for Cell Detection in Digital Cytology
  72. Adaptive Computation Pruning for the Forgetting Transformer
  73. RuOpinionNE-2024: Extraction of Opinion Tuples from Russian News Texts
  74. ASRL:A robust loss function with potential for development
  75. Beyond Tools: Generative AI as Epistemic Infrastructure in Education
  76. RO-FIGS: Efficient and Expressive Tree-Based Ensembles for Tabular Data
  77. Longitudinal Assessment of Lung Lesion Burden in CT
  78. The Importance of Being Discrete: Measuring the Impact of Discretization in End-to-End Differentially Private Synthetic Data
  79. Leveraging Anatomical Priors for Automated Pancreas Segmentation on Abdominal CT
  80. S-EO: A Large-Scale Dataset for Geometry-Aware Shadow Detection in Remote Sensing Applications
  81. Data Augmentation for Fake Reviews Detection in Multiple Languages and Multiple Domains
  82. An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks
  83. Identifying Aspects in Peer Reviews
  84. UKBOB: One Billion MRI Labeled Masks for Generalizable 3D Medical Image Segmentation
  85. MedSegFactory: Text-Guided Generation of Medical Image-Mask Pairs
  86. ColorizeDiffusion v2: Enhancing Reference-based Sketch Colorization Through Separating Utilities
  87. Audio-visual Event Localization on Portrait Mode Short Videos
  88. Compound and Parallel Modes of Tropical Convolutional Neural Networks
  89. CRYSIM: Prediction of Symmetric Structures of Large Crystals with GPU-based Ising Machines
  90. Persona Dynamics: Unveiling the Impact of Personality Traits on Agents in Text-Based Games
  91. GraspClutter6D: A Large-scale Real-world Dataset for Robust Perception and Grasping in Cluttered Scenes
  92. Integrating Cognitive Processing Signals into Language Models: A Review of Advances, Applications and Future Directions
  93. Classifying the Unknown: In-Context Learning for Open-Vocabulary Text and Symbol Recognition
  94. Determining Fetal Orientations From Blind Sweep Ultrasound Video
  95. LVC: A Lightweight Compression Framework for Enhancing VLMs in Long Video Understanding
  96. Adaptive Locally Linear Embedding
  97. IAAO: Interactive Affordance Learning for Articulated Objects in 3D Environments
  98. Open Problems and a Hypothetical Path Forward in LLM Knowledge Paradigms
  99. Deep Neural Koopman Operator-based Economic Model Predictive Control of Shipboard Carbon Capture System
  100. A Graph Diffusion Algorithm for Lexical Similarity Evaluation
  101. SVG-IR: Spatially-Varying Gaussian Splatting for Inverse Rendering
  102. Hybrid CNN with Chebyshev Polynomial Expansion for Medical Image Analysis
  103. Mass Balance Approximation of Unfolding Improves Potential-Like Methods for Protein Stability Predictions
  104. Robust Classification with Noisy Labels Based on Posterior Maximization
  105. MonoPlace3D: Learning 3D-Aware Object Placement for 3D Monocular Detection
  106. A Meaningful Perturbation Metric for Evaluating Explainability Methods
  107. Learning in Spiking Neural Networks with a Calcium-based Hebbian Rule for Spike-timing-dependent Plasticity
  108. Beware of "Explanations" of AI
  109. Zero-Shot Image-Based Large Language Model Approach to Road Pavement Monitoring
  110. Domain Generalization through Attenuation of Domain-Specific Information
  111. End2end-ALARA: Approaching the ALARA Law in CT Imaging with End-to-end Learning
  112. Hybrid machine learning models based on physical patterns to accelerate CFD simulations: a short guide on autoregressive models
  113. FANeRV: Frequency Separation and Augmentation based Neural Representation for Video
  114. Detect All-Type Deepfake Audio: Wavelet Prompt Tuning for Enhanced Auditory Perception
  115. Visualization of a multidimensional point cloud as a 3D swarm of avatars
  116. Efficient Deployment of Spiking Neural Networks on SpiNNaker2 for DVS Gesture Recognition Using Neuromorphic Intermediate Representation
  117. nnLandmark: A Self-Configuring Method for 3D Medical Landmark Detection
  118. Large Scale Supervised Pretraining For Traumatic Brain Injury Segmentation
  119. MultiADS: Defect-aware Supervision for Multi-type Anomaly Detection and Segmentation in Zero-Shot Learning
  120. EDIT: Enhancing Vision Transformers by Mitigating Attention Sink through an Encoder-Decoder Architecture
  121. PETNet -- Coincident Particle Event Detection using Spiking Neural Networks
  122. Plastic tensor networks for interpretable generative modeling
  123. Masked Scene Modeling: Narrowing the Gap Between Supervised and Self-Supervised Learning in 3D Scene Understanding
  124. GSta: Efficient Training Scheme with Siestaed Gaussians for Monocular 3D Scene Reconstruction
  125. Clustering and novel class recognition: evaluating bioacoustic deep learning feature extractors
  126. CAT: Circular-Convolutional Attention for Sub-Quadratic Transformers
  127. Benchmarking Convolutional Neural Network and Graph Neural Network based Surrogate Models on a Real-World Car External Aerodynamics Dataset
  128. Deep Learning for Cardiovascular Risk Assessment: Proxy Features from Carotid Sonography as Predictors of Arterial Damage
  129. Setup-Invariant Augmented Reality for Teaching by Demonstration with Surgical Robots
  130. NLP Security and Ethics, in the Wild
  131. Toward Holistic Evaluation of Recommender Systems Powered by Generative Models
  132. Patch Matters: Training-free Fine-grained Image Caption Enhancement via Local Perception
  133. SEE: Continual Fine-tuning with Sequential Ensemble of Experts
  134. Robust and Noise-resilient Long-Term Prediction of Spatiotemporal Data Using Variational Mode Graph Neural Networks with 3D Attention
  135. GRAIN: Multi-Granular and Implicit Information Aggregation Graph Neural Network for Heterophilous Graphs
  136. Uni-PrevPredMap: Extending PrevPredMap to a Unified Framework of Prior-Informed Modeling for Online Vectorized HD Map Construction
  137. AMAD: AutoMasked Attention for Unsupervised Multivariate Time Series Anomaly Detection
  138. Crafting Query-Aware Selective Attention for Single Image Super-Resolution
  139. PosterMaker: Towards High-Quality Product Poster Generation with Accurate Text Rendering
  140. Analyzing the Training Dynamics of Image Restoration Transformers: A Revisit to Layer Normalization
  141. FACT: Multinomial Misalignment Classification for Point Cloud Registration
  142. Quantum neural networks facilitating quantum state classification
  143. InstantSticker: Realistic Decal Blending via Disentangled Object Reconstruction
  144. Wanting to be Understood
  145. Disentangle and Regularize: Sign Language Production with Articulator-Based Disentanglement and Channel-Aware Regularization
  146. InteractRank: Personalized Web-Scale Search Pre-Ranking with Cross Interaction Features
  147. A Cross-Domain Few-Shot Learning Method Based on Domain Knowledge Mapping
  148. Visually Similar Pair Alignment for Robust Cross-Domain Object Detection
  149. Image registration of 2D optical thin sections in a 3D porous medium: Application to a Berea sandstone digital rock image
  150. Automated Business Process Analysis: An LLM-Based Approach to Value Assessment
  151. NAPER: Fault Protection for Real-Time Resource-Constrained Deep Neural Networks
  152. Exploring Ordinal Bias in Action Recognition for Instructional Videos
  153. Attributes-aware Visual Emotion Representation Learning
  154. Domain Generalization via Discrete Codebook Learning
  155. NeedleInATable: Exploring Long-Context Capability of Large Language Models towards Long-Structured Tables
  156. TabKAN: Advancing Tabular Data Analysis using Kolmogorov-Arnold Network
  157. ASHiTA: Automatic Scene-grounded HIerarchical Task Analysis
  158. Societal Impacts Research Requires Benchmarks for Creative Composition Tasks
  159. LCGC: Learning from Consistency Gradient Conflicting for Class-Imbalanced Semi-Supervised Debiasing
  160. Lugha-Llama: Adapting Large Language Models for African Languages
  161. Rethinking Flexible Graph Similarity Computation: One-step Alignment with Global Guidance
  162. WaveHiTS: Wavelet-Enhanced Hierarchical Time Series Modeling for Wind Direction Nowcasting in Eastern Inner Mongolia
  163. Beyond Moore's Law: Harnessing the Redshift of Generative AI with Effective Hardware-Software Co-Design
  164. CDER: Collaborative Evidence Retrieval for Document-level Relation Extraction
  165. TSP-OCS: A Time-Series Prediction for Optimal Camera Selection in Multi-Viewpoint Surgical Video Analysis
  166. The Power of the Pareto Front: Balancing Uncertain Rewards for Adaptive Experimentation in scanning probe microscopy
  167. Controller Distillation Reduces Fragile Brain-Body Co-Adaptation and Enables Migrations in MAP-Elites
  168. DUKAE: DUal-level Knowledge Accumulation and Ensemble for Pre-Trained Model-Based Continual Learning
  169. GTS-LUM: Reshaping User Behavior Modeling with LLMs in Telecommunications Industry
  170. STaR: Seamless Spatial-Temporal Aware Motion Retargeting with Penetration and Consistency Constraints
  171. Data-driven Fuzzy Control for Time-Optimal Aggressive Trajectory Following
  172. Continuous-Variable Quantum Encoding Techniques: A Comparative Study of Embedding Techniques and Their Impact on Machine Learning Performance