mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 1 Apr 2025

342 papers

  1. Accelerating Causal Network Discovery of Alzheimer Disease Biomarkers via Scientific Literature-based Retrieval Augmented GenerationRetrieval-augmented generation → Medical and biomedical RAG
  2. Detecting Financial Fraud with Hybrid Deep Learning: A Mix-of-Experts Approach to Sequential and Anomalous PatternsMixture-of-experts → Vision mixture-of-experts
  3. TDBench: A Benchmark for Top-Down Image Understanding with Reliability Analysis of Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  4. Modelling bounded rational decision-making through Wasserstein constraintsDeep reinforcement learning methods → RL theory and sample complexity
  5. A Unified Virtual Mixture-of-Experts Framework:Enhanced Inference and Hallucination Mitigation in Single-Model SystemMixture-of-experts → MoE large language models
  6. Attention in Diffusion Model: A SurveyDiffusion models → Image generation, text-to-image and editing
  7. Misaligned Roles, Misplaced Images: Structural Input Perturbations Expose Multimodal Alignment Blind SpotsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  8. AI Hiring with LLMs: A Context-Aware and Explainable Multi-Agent Framework for Resume ScreeningLLM agents and tool use → General LLM agent frameworks and benchmarks
  9. Multi-Agent LLM Judge: automatic personalized LLM judge design for evaluating natural language generation applicationsLLM agents and tool use → General LLM agent frameworks and benchmarks
  10. Brains vs. Bytes: Evaluating LLM Proficiency in Olympiad MathematicsLLM reasoning → Mathematical reasoning
  11. First Field-Trial Demonstration of L4 Autonomous Optical Network for Distributed AI Training Communication: An LLM-Powered Multi-AI-Agent SolutionLLM agents and tool use → Agentic AI for wireless networks
  12. Prompting Forgetting: Unlearning in GANs via Textual GuidanceLLM safety and security → Vision-language and text-to-image safety
  13. Articulated Kinematics Distillation from Video Diffusion ModelsDiffusion models → Video generation
  14. Multilingual and Multi-Accent Jailbreaking of Audio LLMsLLM safety and security → Audio jailbreaks and speech backdoors
  15. MPCritic: A plug-and-play MPC architecture for reinforcement learningDeep reinforcement learning methods → RL for autonomous driving and traffic
  16. How does Watermarking Affect Visual Language Models in Document Understanding?Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning +1
  17. MixerMDM: Learnable Composition of Human Motion Diffusion ModelsDiffusion models → Video generation
  18. Self-Routing RAG: Binding Selective Retrieval with Knowledge VerbalizationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  19. GeometryCrafter: Consistent Geometry Estimation for Open-world Videos with Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
  20. A Parametric Model for Near-Optimal Online Synthesis with Robust Reach-Avoid GuaranteesDeep reinforcement learning methods → Safe and constrained RL
  21. When To Solve, When To Verify: Compute-Optimal Problem Solving and Generative Verification for LLM ReasoningLLM reasoning → Test-time compute and efficient thinking
  22. MergeVQ: A Unified Framework for Visual Generation and Representation with Disentangled Token Merging and QuantizationEfficient LLM inference and serving → Visual token pruning in multimodal models
  23. TurboFill: Adapting Few-step Text-to-image Model for Fast Image InpaintingDiffusion models → 3D, point cloud and scene generation
  24. MedReason: Eliciting Factual Medical Reasoning Steps in LLMs via Knowledge GraphsLLM reasoning → Clinical and biomedical applications
  25. SentenceKV: Efficient LLM Inference via Sentence-Level Semantic KV CachingEfficient LLM inference and serving → KV cache optimization
  26. Personalized Federated Training of Diffusion Models with Privacy GuaranteesDiffusion models → Robustness, privacy and adversarial aspects
  27. WikiVideo: Article Generation from Multiple VideosRetrieval-augmented generation → Multimodal RAG
  28. AI Judges in Design: Statistical Perspectives on Achieving Human Expert Equivalence With Vision-Language ModelsMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  29. Benchmarking Federated Machine Unlearning methods for Tabular DataLLM safety and security → Federated unlearning and poisoning
  30. On the Robustness of Agentic Function CallingLLM agents and tool use → Tool learning and function calling
  31. Grounding Multimodal LLMs to Embodied Agents that Ask for Help with Reinforcement LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +1
  32. Agent S2: A Compositional Generalist-Specialist Framework for Computer Use AgentsLLM agents and tool use → GUI and mobile agents
  33. A Decade of Deep Learning for Remote Sensing Spatiotemporal Fusion: Advances, Challenges, and OpportunitiesDiffusion models → Inverse problems and image restoration
  34. GenPRM: Scaling Test-Time Compute of Process Reward Models via Generative ReasoningLLM reasoning → Reinforcement learning for reasoning +1
  35. Improved Visual-Spatial Reasoning via R1-Zero-Like TrainingLLM reasoning → Spatial and embodied reasoning +1
  36. Data-free Knowledge Distillation with Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  37. m1: Unleash the Potential of Test-Time Scaling for Medical Reasoning with Large Language ModelsLLM reasoning → Clinical and biomedical applications
  38. Context-Aware Human Behavior Prediction Using Multimodal Large Language Models: Challenges and InsightsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  39. How Difficulty-Aware Staged Reinforcement Learning Enhances LLMs' Reasoning Capabilities: A Preliminary Experimental StudyLLM reasoning → Reinforcement learning for reasoning
  40. ScholarCopilot: Training Large Language Models for Academic Writing with Accurate CitationsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  41. Mixture-of-Experts for Distributed Edge Computing with Channel-Aware Gating FunctionMixture-of-experts → Expert routing strategies
  42. Z1: Efficient Test-time Scaling with CodeLLM reasoning → Reasoning for agents, planning and code
  43. Do We Truly Need So Many Samples? Multi-LLM Repeated Sampling Efficiently Scales Test-Time ComputeLLM reasoning → Test-time compute and efficient thinking
  44. TAMIS: Tailored Membership Inference Attacks on Synthetic DataLLM safety and security → Membership inference attacks
  45. Reinforcement learning for robust dynamic metabolic controlDeep reinforcement learning methods → RL for energy, networks and operations
  46. Personality-Driven Decision-Making in LLM-Based Autonomous AgentsLLM agents and tool use → Social simulation and multi-agent debate
  47. GraphMaster: Automated Graph Synthesis via LLM Agents in Data-Limited EnvironmentsLLM agents and tool use → Web, search, and research agents
  48. Immersive Explainability: Visualizing Robot Navigation Decisions through XAI Semantic Scene Projections in Virtual RealityDeep reinforcement learning methods → Interpretable and logic-guided RL
  49. DynMoLE: Boosting Mixture of LoRA Experts Fine-Tuning with a Hybrid Routing MechanismMixture-of-experts → Mixture of LoRA experts
  50. QG-VTC: Question-Guided Visual Token Compression in MLLMs for Efficient VQAMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
  51. POPEN: Preference-Based Optimization and Ensemble for LVLM-Based Reasoning SegmentationLLM reasoning → Multimodal reasoning
  52. Probabilistically safe and efficient model-based reinforcement learningDeep reinforcement learning methods → Safe and constrained RL
  53. Learning Bipedal Locomotion on Gear-Driven Humanoid Robot Using Foot-Mounted IMUsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  54. Sample-level Adaptive Knowledge Distillation for Action RecognitionKnowledge distillation → General knowledge distillation methods
  55. On the Consistency of Multilingual Context Utilization in Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
  56. Open-Qwen2VL: Compute-Efficient Pre-Training of Fully-Open Multimodal LLMs on Academic ResourcesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  57. AgentNet: Decentralized Evolutionary Coordination for LLM-based Multi-Agent SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
  58. Training a Utility-based Retriever Through Shared Context Attribution for Retrieval-Augmented Language ModelsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  59. Diffusion Model-Based Size Variable Virtual Try-On Technology and Evaluation MethodDiffusion models → 3D, point cloud and scene generation
  60. Efficient LLaMA-3.2-Vision by Trimming Cross-attended Visual FeaturesMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
  61. Adversarial Curriculum Graph-Free Knowledge Distillation for Graph Neural NetworksKnowledge distillation → Graph neural network distillation
  62. SRLCG: Self-Rectified Large-Scale Code Generation with Multidimensional Chain-of-Thought and Dynamic BacktrackingLLM reasoning → Reasoning for agents, planning and code
  63. Recitation over Reasoning: How Cutting-Edge Language Models Can Fail on Elementary School-Level Reasoning Problems?LLM reasoning → Mathematical reasoning
  64. ShortV: Efficient Multimodal Large Language Models by Freezing Visual Tokens in Ineffective LayersMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  65. Flow Matching on Lie GroupsDiffusion models → Flow matching, time series and science
  66. FortisAVQA and MAVEN: a Benchmark Dataset and Debiasing Framework for Robust Multimodal ReasoningLLM reasoning → Audio-language model reasoning
  67. Making Large Language Models Better Reasoners with Orchestrated Streaming ExperiencesLLM reasoning → Reasoning benchmarks and evaluation
  68. Memorizing is Not Enough: Deep Knowledge Injection Through ReasoningLLM reasoning → Reasoning benchmarks and evaluation
  69. Mixture-of-Attack-Experts with Class Regularization for Unified Physical-Digital Face Attack DetectionMixture-of-experts → Vision mixture-of-experts
  70. Distilling Multi-view Diffusion Models into 3D GeneratorsDiffusion models → 3D, point cloud and scene generation
  71. Exposing the Ghost in the Transformer: Abnormal Detection for Large Language Models via Hidden State ForensicsLLM safety and security → Backdoor and data poisoning attacks
  72. No Free Lunch with GuardrailsLLM safety and security → Safety alignment, refusal and guardrails
  73. HERA: Hybrid Edge-cloud Resource Allocation for Cost-Efficient AI AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  74. Data Synthesis with Diverse Styles for Face Recognition via 3DMM-Guided DiffusionDiffusion models → Image generation, text-to-image and editing
  75. LLM-Assisted Proactive Threat Intelligence for Automated ReasoningLLM reasoning → Reasoning for agents, planning and code
  76. Hawkeye:Efficient Reasoning with Model CollaborationLLM reasoning → Test-time compute and efficient thinking
  77. Multimodal LLMs for OCR, OCR Post-Correction, and Named Entity Recognition in Historical DocumentsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  78. VerifiAgent: a Unified Verification Agent in Language Model ReasoningLLM reasoning → Reasoning benchmarks and evaluation +1
  79. CyberBOT: Towards Reliable Cybersecurity Education via Ontology-Grounded Retrieval Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
  80. Hierarchical Flow Diffusion for Efficient Frame InterpolationDiffusion models → Video generation
  81. When Persuasion Overrides Truth in Multi-Agent LLM Debates: Introducing a Confidence-Weighted Persuasion Override Rate (CW-POR)LLM agents and tool use → Social simulation and multi-agent debate
  82. Aligning Diffusion Model with Problem Constraints for Trajectory OptimizationDiffusion models → Diffusion and flow policies for robotics
  83. Agentic Multimodal AI for Hyperpersonalized B2B and B2C Advertising in Competitive Markets: An AI-Driven Competitive Advertising FrameworkRetrieval-augmented generation → Agentic RAG, agents and memory +1
  84. Collaborative LLM Numerical Reasoning with Local Data ProtectionLLM reasoning → Reasoning benchmarks and evaluation
  85. New care pathways for supporting transitional care from hospitals to home using AI and personalized digital assistance
  86. Towards scientific machine learning for granular material simulations -- challenges and opportunities
  87. Reducing Formal Context Extraction: A Newly Proposed Framework from Big Corpora
  88. Revolutionizing Fractional Calculus with Neural Networks: Voronovskaya-Damasclin Theory for Next-Generation AI Systems
  89. Input Resolution Downsizing as a Compression Technique for Vision Deep Learning Systems
  90. Enhancing Biologically Inspired Hierarchical Temporal Memory with Hardware-Accelerated Reflex Memory
  91. Comparative Explanations: Explanation Guided Decision Making for Human-in-the-Loop Preference Selection
  92. Hierarchical Local-Global Feature Learning for Few-shot Malicious Traffic Detection
  93. Brain Network Classification Based on Graph Contrastive Learning and Graph Transformer
  94. Uncertainty Propagation in XAI: A Comparison of Analytical and Empirical Estimators
  95. Artificial Geographically Weighted Neural Network: A Novel Framework for Spatial Analysis with Geographically Weighted Layers
  96. Artificial Intelligence and Deep Learning Algorithms for Epigenetic Sequence Analysis: A Review for Epigeneticists and AI Experts
  97. TheBlueScrubs-v1, a comprehensive curated medical dataset derived from the internet
  98. Short-PHD: Detecting Short LLM-generated Text with Topological Data Analysis After Off-topic Content Insertion
  99. Scraping the Shadows: Deep Learning Breakthroughs in Dark Web Intelligence
  100. Synthesized Annotation Guidelines are Knowledge-Lite Boosters for Clinical Information Extraction
All 342
  1. Machine Learning Prediction of Cardiovascular Risk in Type 1 Diabetes Mellitus Using Radiomics Features from Multimodal Retinal Images
  2. OpenFACADES: An Open Framework for Architectural Caption and Attribute Data Enrichment via Street View Imagery
  3. The Illusionist's Prompt: Exposing the Factual Vulnerabilities of Large Language Models with Linguistic Nuances
  4. The Material Contracts Corpus
  5. GS_DravidianLangTech@2025: Women Targeted Abusive Texts Detection on Social Media
  6. AI Regulation and Capitalist Growth: Balancing Innovation, Ethics, and Global Governance
  7. Real-Time Navigation for Autonomous Aerial Vehicles Using Video
  8. Grade Guard: A Smart System for Short Answer Automated Grading
  9. Plan-and-Act using Large Language Models for Interactive Agreement
  10. R2DN: Scalable Parameterization of Contracting and Lipschitz Recurrent Deep Networks
  11. Automated Factual Benchmarking for In-Car Conversational Systems using Large Language Models
  12. Dynamic Graph Structure Estimation for Learning Multivariate Point Process using Spiking Neural Networks
  13. FUSION: Frequency-guided Underwater Spatial Image recOnstructioN
  14. Catastrophic Forgetting in LLMs: A Comparative Analysis Across Language Tasks
  15. TenAd: A Tensor-based Low-rank Black Box Adversarial Attack for Video Classification
  16. A Conformal Risk Control Framework for Granular Word Assessment and Uncertainty Calibration of CLIPScore Quality Estimates
  17. Explainable post-training bias mitigation with distribution-based fairness metrics
  18. AutoML Benchmark with shorter time constraints and early stopping
  19. rPPG-SysDiaGAN: Systolic-Diastolic Feature Localization in rPPG Using Generative Adversarial Network with Multi-Domain Discriminator
  20. Gradient-Free Continual Learning
  21. Detecting PTSD in Clinical Interviews: A Comparative Analysis of NLP Methods and Large Language Models
  22. PolygoNet: Leveraging Simplified Polygonal Representation for Effective Image Classification
  23. GRU-AUNet: A Domain Adaptation Framework for Contactless Fingerprint Presentation Attack Detection
  24. Cooper: A Library for Constrained Optimization in Deep Learning
  25. Off-Policy Evaluation for Sequential Persuasion Process with Unobserved Confounding
  26. Lightweight Deep Models for Dermatological Disease Detection: A Study on Instance Selection and Channel Optimization
  27. Epistemic Alignment: A Mediating Framework for User-LLM Knowledge Delivery
  28. Global explainability of a deep abstaining classifier
  29. Medical large language models are easily distracted
  30. μKE: Matryoshka Unstructured Knowledge Editing of Large Language Models
  31. Value Iteration for Learning Concurrently Executable Robotic Control Tasks
  32. Neural Approaches to SAT Solving: Design Choices and Interpretability
  33. Efficient n-body simulations using physics informed graph neural networks
  34. Beyond Quacking: Deep Integration of Language Models and RAG into DuckDB
  35. Active Learning Design: Modeling Force Output for Axisymmetric Soft Pneumatic Actuators
  36. Past-Discounting is Key for Learning Markovian Fairness with Long Horizons
  37. Catch Me if You Search: When Contextual Web Search Results Affect the Detection of Hallucinations
  38. Follow the Flow: On Information Flow Across Textual Tokens in Text-to-Image Models
  39. Performative Drift Resistant Classification Using Generative Domain Adversarial Networks
  40. Is the Top Still Spinning? Evaluating Subjectivity in Narrative Understanding
  41. RipVIS: Rip Currents Video Instance Segmentation Benchmark for Beach Monitoring and Safety
  42. Can LLMs Grasp Implicit Cultural Values? Benchmarking LLMs' Cultural Intelligence with CQ-Bench
  43. ffstruc2vec: Flat, Flexible and Scalable Learning of Node Representations from Structural Identities
  44. Uncovering the Limitations of Query Performance Prediction: Failures, Insights, and Implications for Selective Query Processing
  45. Repetitions are not all alike: distinct mechanisms sustain repetition in language models
  46. Hard-constraining Neumann boundary conditions in physics-informed neural networks via Fourier feature embeddings
  47. Initial Conditions from Galaxies: Machine-Learning Subgrid Correction to Standard Reconstruction
  48. HomeEmergency -- Using Audio to Find and Respond to Emergencies in the Home
  49. ShieldGemma 2: Robust and Tractable Image Content Moderation
  50. Knowledge-Base based Semantic Image Transmission Using CLIP
  51. Analyzing homogenous and heterogeneous multi-server queues via neural networks
  52. SViQA: A Unified Speech-Vision Multimodal Model for Textless Visual Question Answering
  53. Predicting Movie Production Years through Facial Recognition of Actors with Machine Learning
  54. Denoising guarantees for optimized sampling schemes in compressed sensing
  55. Shot-by-Shot: Film-Grammar-Aware Training-Free Audio Description Generation
  56. Scaling Language-Free Visual Representation Learning
  57. AnimeGamer: Infinite Anime Life Simulation with Next Game State Prediction
  58. Causal Models for Growing Networks
  59. A YOLO-Based Semi-Automated Labeling Approach to Improve Fault Detection Efficiency in Railroad Videos
  60. GECKO: Gigapixel Vision-Concept Contrastive Pretraining in Histopathology
  61. IntrinsiX: High-Quality PBR Generation using Image Priors
  62. Data-Driven Safety Verification using Barrier Certificates and Matrix Zonotopes
  63. Schr"odinger Diffusion Driven Signal Recovery in 3T BOLD fMRI Using Unmatched 7T Observations
  64. Token embeddings violate the manifold hypothesis
  65. Zero-shot Benchmarking: A Framework for Flexible and Scalable Automatic Evaluation of Language Models
  66. SuperDec: 3D Scene Decomposition with Superquadric Primitives
  67. Accelerating drug discovery with Artificial: a whole-lab orchestration and scheduling system for self-driving labs
  68. WorldScore: A Unified Evaluation Benchmark for World Generation
  69. Chinese Grammatical Error Correction: A Survey
  70. Resource Allocation for RIS-Assisted CoMP-NOMA Networks using Reinforcement Learning
  71. HDVIO2.0: Wind and Disturbance Estimation with Hybrid Dynamics VIO
  72. Enabling Efficient Processing of Spiking Neural Networks with On-Chip Learning on Commodity Neuromorphic Processors for Edge AI Systems
  73. Unfair Learning: GenAI Exceptionalism and Copyright Law
  74. IDMR: Towards Instance-Driven Precise Visual Correspondence in Multimodal Retrieval
  75. Neural Pruning for 3D Scene Reconstruction: Efficient NeRF Acceleration
  76. QSViT: A Methodology for Quantizing Spiking Vision Transformers
  77. GKAN: Explainable Diagnosis of Alzheimer's Disease Using Graph Neural Network with Kolmogorov-Arnold Networks
  78. Diffusion-model approach to flavor models: A case study for S4^prime modular flavor model
  79. Graph Classification and Radiomics Signature for Identification of Tuberculous Meningitis
  80. Experiential Semantic Information and Brain Alignment: Are Multimodal Models Better than Language Models?
  81. InformGen: An AI Copilot for Accurate and Compliant Clinical Research Consent Document Generation
  82. CFIRE: A General Method for Combining Local Explanations
  83. Taxonomizing Representational Harms using Speech Act Theory
  84. Multi-Token Attention
  85. Nonparametric spectral density estimation using interactive mechanisms under local differential privacy
  86. Provably Accurate Adaptive Sampling for Collocation Points in Physics-informed Neural Networks
  87. DBF-UNet: A Two-Stage Framework for Carotid Artery Segmentation with Pseudo-Label Generation
  88. Explorable INR: An Implicit Neural Representation for Ensemble Simulation Enabling Efficient Spatial and Parameter Exploration
  89. Role and Use of Race in AI/ML Models Related to Health
  90. Privacy-Preserving Transfer Learning for Community Detection using Locally Distributed Multiple Networks
  91. Spectral Architecture Search for Neural Network Models
  92. CrackSQL: A Hybrid SQL Dialect Translation System Powered by Large Language Models
  93. Detection of Anomalous Vehicular Traffic and Sensor Failures Using Data Clustering Techniques
  94. GISE-TTT:A Framework for Global InformationSegmentation and Enhancement
  95. P2NIA: Privacy-Preserving Non-Iterative Auditing
  96. Feature-Preserving Mesh Decimation for Normal Integration
  97. Balancing Multi-Target Semi-Supervised Medical Image Segmentation with Collaborative Generalist and Specialists
  98. Investigating the Capabilities and Limitations of Machine Learning for Identifying Bias in English Language Data with Information and Heritage Professionals
  99. NeuRadar: Neural Radiance Fields for Automotive Radar Point Clouds
  100. Whispering Under the Eaves: Protecting User Privacy Against Commercial and LLM-powered Automatic Speech Recognition Systems
  101. Exploring Personalized Federated Learning Architectures for Violence Detection in Surveillance Videos
  102. ReaLitE: Enrichment of Relation Embeddings in Knowledge Graphs using Numeric Literals
  103. Generalized Tensor-based Parameter-Efficient Fine-Tuning via Lie Group Transformations
  104. Global Intervention and Distillation for Federated Out-of-Distribution Generalization
  105. Zero-Shot 4D Lidar Panoptic Segmentation
  106. From learnable objects to learnable random objects
  107. PRISM-0: A Predicate-Rich Scene Graph Generation Framework for Zero-Shot Open-Vocabulary Tasks
  108. Benchmarking Large Language Models for Diagnosing Students' Cognitive Skills from Handwritten Math Work
  109. A Survey on Music Generation from Single-Modal, Cross-Modal, and Multi-Modal Perspectives
  110. Spingarn's Method and Progressive Decoupling Beyond Elicitable Monotonicity
  111. Example-Based Concept Analysis Framework for Deep Weather Forecast Models
  112. Deep Generative Models: Complexity, Dimensionality, and Approximation
  113. Two-stage deep learning framework for the restoration of incomplete-ring PET images
  114. Scaling Prompt Instructed Zero Shot Composed Image Retrieval with Image-Only Data
  115. Inaccuracy of an E-Dictionary and Its Influence on Chinese Language Users
  116. Explainable AI-Based Interface System for Weather Forecasting Model
  117. Conditional Temporal Neural Processes with Covariance Loss
  118. FeatInsight: An Online ML Feature Management System on 4Paradigm Sage-Studio Platform
  119. CellVTA: Enhancing Vision Foundation Models for Accurate Cell Segmentation and Classification
  120. Benchmarking NLP-supported Language Sample Analysis for Swiss Children's Speech
  121. Visual Environment-Interactive Planning for Embodied Complex-Question Answering
  122. DropGaussian: Structural Regularization for Sparse-view Gaussian Splatting
  123. Multi-Task Neural Architecture Search Using Architecture Embedding and Transfer Rank
  124. Automated Explanation of Machine Learning Models of Footballing Actions in Words
  125. UnIRe: Unsupervised Instance Decomposition for Dynamic Urban Scene Reconstruction
  126. MSSFC-Net:Enhancing Building Interpretation with Multi-Scale Spatial-Spectral Feature Collaboration
  127. Integrating Fourier Neural Operators with Diffusion Models to improve Spectral Representation of Synthetic Earthquake Ground Motion Response
  128. RECKON: Large-scale Reference-based Efficient Knowledge Evaluation for Large Language Model
  129. Automated Feature Labeling with Token-Space Gradient Descent
  130. CAPE: Connectivity-Aware Path Enforcement Loss for Curvilinear Structure Delineation
  131. LLMs4SchemaDiscovery: A Human-in-the-Loop Workflow for Scientific Schema Mining with Large Language Models
  132. C2AV-TSE: Context and Confidence-aware Audio Visual Target Speaker Extraction
  133. IHC-LLMiner: Automated extraction of tumour immunohistochemical profiles from PubMed abstracts using large language models
  134. Detection of Disease on Nasal Breath Sound by New Lightweight Architecture: Using COVID-19 as An Example
  135. EMO: Edge Model Overlays to Scale Model Size in Federated Learning
  136. Aplicacc~ao de Large Language Models na An'alise e S'intese de Documentos Jur'idicos: Uma Revis~ao de Literatura
  137. Communication-Efficient l_0 Penalized Least Square
  138. Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution
  139. Scaling Up Resonate-and-Fire Networks for Fast Deep Learning
  140. Advancements in Multimodal Differential Evolution: A Comprehensive Review and Future Perspectives
  141. Spectral Normalization and Voigt-Reuss net: A universal approach to microstructure-property forecasting with physical guarantees
  142. Science Autonomy using Machine Learning for Astrobiology
  143. Interleaved Multitask Learning with Energy Modulated Learning Progress
  144. Orientation Scores should be a Piece of Cake
  145. Command A: An Enterprise-Ready Large Language Model
  146. ToReMi: Topic-Aware Data Reweighting for Dynamic Pre-Training Data Selection
  147. On Benchmarking Code LLMs for Android Malware Analysis
  148. The HCI GenAI CO2ST Calculator: A Tool for Calculating the Carbon Footprint of Generative AI Use in Human-Computer Interaction Research
  149. ToVE: Efficient Vision-Language Learning via Knowledge Transfer from Vision Experts
  150. GLiNER-BioMed: A Suite of Efficient Models for Open Biomedical Named Entity Recognition
  151. Monocular and Generalizable Gaussian Talking Head Animation
  152. Do LLMs Surpass Encoders for Biomedical NER?
  153. Searching on a Budget: HW-NAS with 10 Latency Probes
  154. Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry
  155. News is More than a Collection of Facts: Moral Frame Preserving News Summarization
  156. Towards Adaptive AI Governance: Comparative Insights from the U.S., EU, and Asia
  157. FDDet: Frequency-Decoupling for Boundary Refinement in Temporal Action Detection
  158. Coca-Splat: Collaborative Optimization for Camera Parameters and 3D Gaussians
  159. Impact of Data Duplication on Deep Neural Network-Based Image Classifiers: Robust vs. Standard Models
  160. CNOT-Optimal Clifford Synthesis as SAT
  161. Feature Subset Weighting for Distance-based Supervised Learning through Choquet Integration
  162. Efficient Construction of Model Family through Progressive Training Using Model Expansion
  163. Deep Learning Model Predictive Control for Deep Brain Stimulation in Parkinson's Disease
  164. Towards Responsible and Trustworthy Educational Data Mining: Comparing Symbolic, Sub-Symbolic, and Neural-Symbolic AI Methods
  165. LLM-Guided Search for Deletion-Correcting Codes
  166. Bi-Grid Reconstruction for Image Anomaly Detection
  167. PLM4NDV: Minimizing Data Access for Number of Distinct Values Estimation with Pre-trained Language Models
  168. Data Cleansing for GANs
  169. Near Field Localization via AI-Aided Subspace Methods
  170. NeuraLUT-Assemble: Hardware-aware Assembling of Sub-Neural Networks for Efficient LUT Inference
  171. Efficient Annotator Reliability Assessment with EffiARA
  172. Semantic Adapter for Universal Text Embeddings: Diagnosing and Mitigating Negation Blindness to Enhance Universality
  173. Geometric Median Matching for Robust k-Subset Selection from Noisy Data
  174. Continual Cross-Modal Generalization
  175. AttentiveGRU: Recurrent Spatio-Temporal Modeling for Advanced Radar-Based BEV Object Detection
  176. Archival Faces: Detection of Faces in Digitized Historical Documents
  177. Generalization-aware Remote Sensing Change Detection via Domain-agnostic Learning
  178. SMILE: Infusing Spatial and Motion Semantics in Masked Video Learning
  179. High-Quality Pseudo-Label Generation Based on Visual Prompt Assisted Cloud Model Update
  180. Robust LiDAR-Camera Calibration with 2D Gaussian Splatting
  181. MARIOH: Multiplicity-Aware Hypergraph Reconstruction
  182. Automated detection of atomicity violations in large-scale systems
  183. SCRec: A Scalable Computational Storage System with Statistical Sharding and Tensor-train Decomposition for Recommendation Models
  184. Training Frozen Feature Pyramid DINOv2 for Eyelid Measurements with Infinite Encoding and Orthogonal Regularization
  185. Leveraging LLMs for User Stories in AI Systems: UStAI Dataset
  186. Operator Learning with Domain Decomposition for Geometry Generalization in PDE Solving
  187. Learned Image Compression with Dictionary-based Entropy Model
  188. ParallelFlow: Parallelizing Linear Transformers via Flow Discretization
  189. SCFANet: Style Distribution Constraint Feature Alignment Network For Pathological Staining Translation
  190. Stroke Disease Classification Using Machine Learning with Feature Selection Techniques
  191. Hierarchical Attention Networks for Lossless Point Cloud Attribute Compression
  192. Preconditioned Additive Gaussian Processes with Fourier Acceleration
  193. FSSUWNet: Mitigating the Fragility of Pre-trained Models with Feature Enhancement for Few-Shot Semantic Segmentation in Underwater Images
  194. 4th PVUW MeViS 3rd Place Report: Sa2VA
  195. Less is More: Efficient Black-box Attribution via Minimal Interpretable Subset Selection
  196. Learning-Based Approximate Nonlinear Model Predictive Control Motion Cueing
  197. Bayesian Network Structural Consensus via Greedy Min-Cut Analysis
  198. Exploring the Collaborative Advantage of Low-level Information on Generalizable AI-Generated Image Detection
  199. Efficient Near-Optimal Algorithm for Online Shortest Paths in Directed Acyclic Graphs with Bandit Feedback Against Adaptive Adversaries
  200. MetaLoRA: Tensor-Enhanced Adaptive Low-Rank Fine-tuning
  201. FA^{3}-CLIP: Frequency-Aware Cues Fusion and Attack-Agnostic Prompt Learning for Unified Face Attack Detection
  202. Suite-IN++: A FlexiWear BodyNet Integrating Global and Local Motion Features from Apple Suite for Robust Inertial Navigation
  203. ADGaussian: Generalizable Gaussian Splatting for Autonomous Driving via Multi-modal Joint Learning
  204. DecoFuse: Decomposing and Fusing the "What", "Where", and "How" for Brain-Inspired fMRI-to-Video Decoding
  205. Enhancing Fundus Image-based Glaucoma Screening via Dynamic Global-Local Feature Integration
  206. Unleashing the Power of Pre-trained Encoders for Universal Adversarial Attack Detection
  207. Can LLMs Assist Computer Education? an Empirical Case Study of DeepSeek
  208. Think Small, Act Big: Primitive Prompt Learning for Lifelong Robot Manipulation
  209. Forward Learning with Differential Privacy
  210. NCAP: Scene Text Image Super-Resolution with Non-CAtegorical Prior
  211. Semantic Mastery: Enhancing LLMs with Advanced Natural Language Understanding
  212. From Intuition to Understanding: Using AI Peers to Overcome Physics Misconceptions
  213. Beyond Wide-Angle Images: Structure-to-Detail Video Portrait Correction via Unsupervised Spatiotemporal Adaptation
  214. Adaptive Low Light Enhancement via Joint Global-Local Illumination Adjustment
  215. SPF-Portrait: Towards Pure Text-to-Portrait Customization with Semantic Pollution-Free Fine-Tuning
  216. A Theory of Machine Understanding via the Minimum Description Length Principle
  217. AP-CAP: Advancing High-Quality Data Synthesis for Animal Pose Estimation via a Controllable Image Generation Pipeline
  218. Deep learning for state estimation of commercial sodium-ion batteries using partial charging profiles: validation with a multi-temperature ageing dataset
  219. Using complex prompts to identify fine-grained biases in image generation through ChatGPT-4o
  220. Scene4U: Hierarchical Layered 3D Scene Reconstruction from Single Panoramic Image for Your Immerse Exploration
  221. Leveraging Contrast Information for Efficient Document Shadow Removal
  222. Intrinsic-feature-guided 3D Object Detection
  223. MPDrive: Improving Spatial Understanding with Marker-Based Prompt Learning for Autonomous Driving
  224. CamoSAM2: SAM2-oriented Prompt Auto-Refinement for Video Camouflaged Object Detection
  225. Spatiotemporal Attention Learning Framework for Event-Driven Object Recognition
  226. CopyQNN: Quantum Neural Network Extraction Attack under Varying Quantum Noise
  227. Hybrid Global-Local Representation with Augmented Spatial Guidance for Zero-Shot Referring Image Segmentation
  228. Reducing Smoothness with Expressive Memory Enhanced Hierarchical Graph Neural Networks
  229. Transductive One-Shot Learning Meet Subspace Decomposition
  230. Using machine learning method for variable star classification using the TESS Sectors 1-57 data
  231. Leveraging Large Language Models for Automated Definition Extraction with TaxoMatic A Case Study on Media Bias
  232. Integrated LLM-Based Intrusion Detection with Secure Slicing xApp for Securing O-RAN-Enabled Wireless Network Deployments
  233. VNJPTranslate: A comprehensive pipeline for Vietnamese-Japanese translation
  234. Large EEG-U-Transformer for Time-Step Level Detection Without Pre-Training
  235. Simple yet Effective Node Property Prediction on Edge Streams under Distribution Shifts
  236. Domain Adaptation Under MNAR Missingness
  237. Effect-driven interpretation: Functors for natural language composition
  238. Detecting and Mitigating Bias in LLMs through Knowledge Graph-Augmented Training
  239. FedPaI: Achieving Extreme Sparsity in Federated Learning via Pruning at Initialization
  240. Generating realistic global precipitation fields from modelled atmospheric circulation
  241. LOCO-EPI: Leave-one-chromosome-out (LOCO) as a benchmarking paradigm for deep learning based prediction of enhancer-promoter interactions
  242. Deconver: A Deconvolutional Network for Medical Image Segmentation