mlsanityData to 14 Oct 2026

Papers

New on arXiv

Thu 23 Jan 2025

308 papers

  1. TrueReason: An Exemplar Personalised Learning System Integrating Reasoning with Foundational ModelsLLM reasoning → Reasoning benchmarks and evaluation
  2. Querying Databases with Function CallingLLM agents and tool use → Web, search, and research agents
  3. Reinforcement Learning Platform for Adversarial Black-box Attacks with Custom Distortion FiltersDeep reinforcement learning methods → Adversarial robustness and RL in finance
  4. StreamingRAG: Real-time Contextual Retrieval and Generation FrameworkRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  5. Communicating Activations Between Language Model AgentsLLM reasoning → Test-time compute and efficient thinking +1
  6. LLMs are Vulnerable to Malicious Prompts Disguised as Scientific LanguageLLM safety and security → Safety alignment, refusal and guardrails
  7. GraphRAG under FireRetrieval-augmented generation → Privacy and security of RAG
  8. INDIGO+: A Unified INN-Guided Probabilistic Diffusion Algorithm for Blind and Non-Blind Image RestorationDiffusion models → Inverse problems and image restoration
  9. Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training StagesLLM reasoning → Mathematical reasoning +1
  10. CSAOT: Cooperative Multi-Agent System for Active Object TrackingMixture-of-experts → MoE in reinforcement learning and robotics
  11. CAPRAG: A Large Language Model Solution for Customer Service and Automatic Reporting using Vector and Graph Retrieval-Augmented GenerationRetrieval-augmented generation → Legal and financial RAG
  12. Attribute-based Visual Reprogramming for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  13. Re-ranking Using Large Language Models for Mitigating Exposure to Harmful Content on Social Media PlatformsLLM safety and security → Safety alignment, refusal and guardrails
  14. Towards Safer Social Media Platforms: Scalable and Performant Few-Shot Harmful Content Moderation Using Large Language ModelsLLM safety and security → Safety alignment, refusal and guardrails
  15. CRPO: Confidence-Reward Driven Preference Optimization for Machine TranslationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  16. Can We Generate Images with CoT? Let's Verify and Reinforce Image Generation Step by StepLLM reasoning → Multimodal reasoning +1
  17. GeoPixel: Pixel Grounding Large Multimodal Model in Remote SensingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  18. The Breeze 2 Herd of Models: Traditional Chinese LLMs Based on Llama with Vision-Aware and Function-Calling CapabilitiesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  19. IMAGINE-E: Image Generation Intelligence Evaluation of State-of-the-art Text-to-Image ModelsDiffusion models → Image generation, text-to-image and editing
  20. Temporal Preference Optimization for Long-Form Video UnderstandingMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
  21. Improving Video Generation with Human FeedbackDiffusion models → Video generation +1
  22. Binary Diffusion Probabilistic ModelDiffusion models → Diffusion foundations and sampling
  23. Privacy-Preserving Personalized Federated Prompt Learning for Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  24. Utilizing Evolution Strategies to Train Transformers in Reinforcement LearningDeep reinforcement learning methods → RL for games and combinatorial optimization
  25. Large Vision-Language Models for Knowledge-Grounded Data Annotation of MemesMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  26. Think Outside the Data: Colonial Biases and Systemic Issues in Automated Moderation Pipelines for Low-Resource LanguagesLLM reasoning → Reasoning benchmarks and evaluation +1
  27. On the Reasoning Capacity of AI Models and How to Quantify ItLLM reasoning → Reasoning benchmarks and evaluation
  28. Training-Free Zero-Shot Temporal Action Detection with Vision-Language ModelsMultimodal LLMs / vision-language models → Video understanding with MLLMs
  29. Unveiling the Power of Noise Priors: Enhancing Diffusion Models for Mobile Traffic PredictionDiffusion models → Diffusion and flow policies for robotics
  30. Jailbreak-AudioBench: In-Depth Evaluation and Analysis of Jailbreak Threats for Large Audio Language ModelsLLM safety and security → Audio jailbreaks and speech backdoors
  31. An Efficient Diffusion-based Non-Autoregressive Solver for Traveling Salesman ProblemDiffusion models → Diffusion foundations and sampling
  32. UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language ModelsLLM reasoning → Mathematical reasoning
  33. EICopilot: Search and Explore Enterprise Information over Large-scale Knowledge Graphs with LLM-driven AgentsLLM agents and tool use → Web, search, and research agents
  34. An Empirical Study of Retrieval-Augmented Code Generation: Challenges and OpportunitiesRetrieval-augmented generation → RAG for code
  35. RPO: Retrieval Preference Optimization for Robust Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval +1
  36. EventVL: Understand Event Streams via Multimodal Large Language ModelMultimodal LLMs / vision-language models → Video understanding with MLLMs
  37. Training-Free, Identity-Preserving Image Editing for Fashion Pose Alignment and NormalizationDiffusion models → 3D, point cloud and scene generation
  38. Unlearning Clients, Features and Samples in Vertical Federated LearningLLM safety and security → Federated unlearning and poisoning
  39. HumorReject: Decoupling LLM Safety from Refusal Prefix via A Little HumorLLM safety and security → Safety alignment, refusal and guardrails
  40. LVPruning: An Effective yet Simple Language-Guided Vision Token Pruning Approach for Multi-modal Large Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency +1
  41. Coarse-to-Fine Process Reward Modeling for Mathematical ReasoningLLM reasoning → Reinforcement learning for reasoning +1
  42. A Cognitive Paradigm Approach to Probe the Perception-Reasoning Interface in VLMsLLM reasoning → Multimodal reasoning +1
  43. Improving Contextual Faithfulness of Large Language Models via Retrieval Heads-Induced OptimizationRetrieval-augmented generation → RAG robustness and adaptive retrieval
  44. K-COMP: Retrieval-Augmented Medical Domain Question Answering With Knowledge-Injected CompressorRetrieval-augmented generation → Medical and biomedical RAG
  45. Black-Box Adversarial Attack on Vision Language Models for Autonomous DrivingLLM reasoning → Chain-of-thought reasoning for driving +2
  46. One-Prompt-One-Story: Free-Lunch Consistent Text-to-Image Generation Using a Single PromptDiffusion models → Image generation, text-to-image and editing
  47. ReasVQA: Advancing VideoQA with Imperfect Reasoning ProcessLLM reasoning → Multimodal reasoning
  48. Diffusion-based Perceptual Neural Video Compression with Temporal Diffusion Information ReuseDiffusion models → Diffusion for compression and wireless
  49. DQ-Data2vec: Decoupling Quantization for Multilingual Speech RecognitionKnowledge distillation → Speech and audio distillation
  50. MambaQuant: Quantizing the Mamba Family with Variance Aligned Rotation MethodsState-space sequence models (S4, Mamba) → Core SSM architectures for language
  51. BMG-Q: Localized Bipartite Match Graph Attention Q-Learning for Ride-Pooling Order DispatchDeep reinforcement learning methods → RL for games and combinatorial optimization
  52. VulnBot: Autonomous Penetration Testing for A Multi-Agent Collaborative FrameworkLLM agents and tool use → Agent threats, guardrails and governance
  53. ExLM: Rethinking the Impact of [MASK] Tokens in Masked Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  54. Concurrent Learning with Aggregated States via Randomized Least Squares Value IterationDeep reinforcement learning methods → RL theory and sample complexity
  55. Do as We Do, Not as You Think: the Conformity of Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
  56. Contrast: A Hybrid Architecture of Transformers and State Space Models for Low-Level VisionState-space sequence models (S4, Mamba) → Vision Mamba backbones
  57. MSF: Efficient Diffusion Model Via Multi-Scale Latent FactorizeDiffusion models → Diffusion foundations and sampling
  58. Multi-aspect Knowledge Distillation with Large Language ModelKnowledge distillation → Multimodal distillation
  59. Retrievals Can Be Detrimental: Unveiling the Backdoor Vulnerability of Retrieval-Augmented Diffusion ModelsRetrieval-augmented generation → Privacy and security of RAG +2
  60. Gradient-Free Adversarial Purification with Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  61. AgentRec: Agent Recommendation Using Sentence Embeddings Aligned to Human FeedbackLLM agents and tool use → Agentic recommender systems +1
  62. Watching the AI Watchdogs: A Fairness and Robustness Analysis of AI Safety Moderation ClassifiersLLM safety and security → Safety alignment, refusal and guardrails
  63. Hypothesis Generation for Materials Discovery and Design Using Goal-Driven and Constraint-Guided LLM AgentsLLM agents and tool use → Medical and scientific domain agents
  64. RAMQA: A Unified Framework for Retrieval-Augmented Multi-Modal Question AnsweringRetrieval-augmented generation → Multimodal RAG
  65. Multi-Task Corrupted Prediction for Learning Robust Audio-Visual Speech Representation
  66. Mining Social Determinants of Health for Heart Failure Patient 30-Day Readmission via Large Language Model
  67. Machine Learning-Driven Convergence Analysis in Multijurisdictional Compliance Using BERT and K-Means Clustering
  68. Identifying relevant indicators for monitoring a National Artificial Intelligence Strategy
  69. Auto-Evaluation: A Critical Measure in Driving Improvements in Quality and Safety of AI-Generated Lesson Resources
  70. Multimodal Stock Price Prediction
  71. AlphaSharpe: LLM-Driven Discovery of Robust Risk-Adjusted Metrics
  72. Algorithmic Inheritance: Surname Bias in AI Decisions Reinforces Intergenerational Inequality
  73. Explainable and Robust Millimeter Wave Beam Alignment for AI-Native 6G Networks
  74. Document-Level Sentiment Analysis of Urdu Text Using Deep Learning Techniques
  75. Extractive Schema Linking for Text-to-SQL
  76. On Storage Neural Network Augmented Approximate Nearest Neighbor Search
  77. SAFR: Neuron Redistribution for Interpretability
  78. Unveiling Discrete Clues: Superior Healthcare Predictions for Rare Diseases
  79. Low-Rank Adapters Meet Neural Architecture Search for LLM Compression
  80. A Semiparametric Bayesian Method for Instrumental Variable Analysis with Partly Interval-Censored Time-to-Event Outcome
  81. Symbolic Knowledge Extraction and Injection with Sub-symbolic Predictors: A Systematic Literature Review
  82. An Extensive and Methodical Review of Smart Grids for Sustainable Energy Management-Addressing Challenges with AI, Renewable Energy Integration and Leading-edge Technologies
  83. Saliency Maps are Ambiguous: Analysis of Logical Relations on First and Second Order Attributions
  84. On the Transfer of Knowledge in Quantum Algorithms
  85. Autonomous Structural Memory Manipulation for Large Language Models Using Hierarchical Embedding Augmentation
  86. Selecting Critical Scenarios of DER Adoption in Distribution Grids Using Bayesian Optimization
  87. LeCoPCR: Legal Concept-guided Prior Case Retrieval for European Court of Human Rights cases
  88. RELexED: Retrieval-Enhanced Legal Summarization with Exemplar Diversity
  89. CoPERLex: Content Planning with Event-based Representations for Legal Case Summarization
  90. EFiGP: Eigen-Fourier Physics-Informed Gaussian Process for Inference of Dynamic Systems
  91. MedSlice: Fine-Tuned Large Language Models for Secure Clinical Note Sectioning
  92. Personalized Interpolation: Achieving Efficient Conversion Estimation with Flexible Optimization Windows
  93. 5G LDPC Linear Transformer for Channel Decoding
  94. Improved subsample-and-aggregate via the private modified winsorized mean
  95. Datasheets for AI and medical datasets (DAIMS): a data validation and documentation framework before machine learning analysis in medical research
  96. Making Reliable and Flexible Decisions in Long-tailed Classification
  97. The Role of Generative AI in Software Student CollaborAItion
  98. A Unified Blockwise Measurement Design for Learning Quantum Channels and Lindbladians via Low-Rank Matrix Sensing
  99. Enhancing Biomedical Relation Extraction with Directionality
  100. Expanding on the BRIAR Dataset: A Comprehensive Whole Body Biometric Recognition Resource at Extreme Distances and Real-World Scenarios (Collections 1-4)
All 308
  1. Segment-and-Classify: ROI-Guided Generalizable Contrast Phase Classification in CT Using XGBoost
  2. Prior Knowledge Injection into Deep Learning Models Predicting Gene Expression from Whole Slide Images
  3. Revisiting CLIP: Efficient Alignment of 3D MRI and Tabular Data using Domain-Specific Foundation Models
  4. SIDDA: SInkhorn Dynamic Domain Adaptation for Image Classification with Equivariant Neural Networks
  5. LLM-guided Instance-level Image Manipulation with Diffusion U-Net Cross-Attention Maps
  6. Implicit Neural Surface Deformation with Explicit Velocity Fields
  7. Emotions, Context, and Substance Use in Adolescents: A Large Language Model Analysis of Reddit Posts
  8. Efficient Precision Control in Object Detection Models for Enhanced and Reliable Ovarian Follicle Counting
  9. Human-Alignment Influences the Utility of AI-assisted Decision Making
  10. Leveraging Multiphase CT for Quality Enhancement of Portal Venous CT: Utility for Pancreas Segmentation
  11. Transfer Learning of Surrogate Models via Domain Affine Transformation Across Synthetic and Real-World Benchmarks
  12. QuanTaxo: A Quantum Approach to Self-Supervised Taxonomy Expansion
  13. Scalable and Interpretable Verification of Image-based Neural Network Controllers for Autonomous Vehicles
  14. Adaptive Genetic Algorithms for Pulse-Level Quantum Error Mitigation
  15. Asymmetrical Latent Representation for Individual Treatment Effect Modeling
  16. Device-aware Optical Adversarial Attack for a Portable Projector-camera System
  17. ME-CPT: Multi-Task Enhanced Cross-Temporal Point Transformer for Urban 3D Change Detection
  18. PaMMA-Net: Plasmas magnetic measurement evolution based on data-driven incremental accumulative prediction
  19. Enhancing kelp forest detection in remote sensing images using crowdsourced labels with Mixed Vision Transformers and ConvNeXt segmentation models
  20. Local Control Networks (LCNs): Optimizing Flexibility in Neural Network Data Pattern Capture
  21. Framework for Progressive Knowledge Fusion in Large Language Models Through Structured Conceptual Redundancy Analysis
  22. Predictive Learning in Energy-based Models with Attractor Structures
  23. Integrating Persian Lip Reading in Surena-V Humanoid Robot for Human-Robot Interaction
  24. Dual-Branch HNSW Approach with Skip Bridges and LID-Driven Optimization
  25. CGI: Identifying Conditional Generative Models with Example Images
  26. FreEformer: Frequency Enhanced Transformer for Multivariate Time Series Forecasting
  27. MCRL4OR: Multimodal Contrastive Representation Learning for Off-Road Environmental Perception
  28. OstQuant: Refining Large Language Model Quantization with Orthogonal and Scaling Transformations for Better Distribution Fitting
  29. An Efficient Sparse Kernel Generator for O(3)-Equivariant Deep Networks
  30. Pilot: Building the Federated Multimodal Instruction Tuning Framework
  31. Comprehensive Modeling and Question Answering of Cancer Clinical Practice Guidelines using LLMs
  32. AdEval: Alignment-based Dynamic Evaluation to Mitigate Data Contamination in Large Language Models
  33. Enhanced PEC-YOLO for Detecting Improper Safety Gear Wearing Among Power Line Workers
  34. Chain of Grounded Objectives: Bridging Process and Goal-oriented Prompting for Code Generation
  35. Fast3R: Towards 3D Reconstruction of 1000+ Images in One Forward Pass
  36. Towards Robust Multimodal Open-set Test-time Adaptation via Adaptive Entropy-aware Optimization
  37. PBM-VFL: Vertical Federated Learning with Feature and Sample Privacy
  38. Analysis of Indic Language Capabilities in LLMs
  39. On Learning Representations for Tabular Data Distillation
  40. PointOBB-v3: Expanding Performance Boundaries of Single Point-Supervised Oriented Object Detection
  41. GUI-Bee: Align GUI Action Grounding to Novel Environments via Autonomous Exploration
  42. Pix2Cap-COCO: Advancing Visual Comprehension via Pixel-Level Captioning
  43. Federated Granger Causality Learning for Interdependent Clients with State Space Representation
  44. Generating Realistic Forehead-Creases for User Verification via Conditioned Piecewise Polynomial Curves
  45. Multimodal Sensor Dataset for Monitoring Older Adults Post Lower-Limb Fractures in Community Settings
  46. What Does an Audio Deepfake Detector Focus on? A Study in the Time Domain
  47. Exploring Finetuned Audio-LLM on Heart Murmur Features
  48. A RAG-Based Institutional Assistant
  49. Eye Gaze as a Signal for Conveying User Attention in Contextual AI Systems
  50. Autoencoders for Anomaly Detection are Unreliable
  51. Learning Visual Proxy for Compositional Zero-Shot Learning
  52. First Lessons Learned of an Artificial Intelligence Robotic System for Autonomous Coarse Waste Recycling Using Multispectral Imaging-Based Methods
  53. Where Do You Go? Pedestrian Trajectory Prediction using Scene Features
  54. Predicting Compact Phrasal Rewrites with Large Language Models for ASR Post Editing
  55. A space-decoupling framework for optimization on bounded-rank matrices with orthogonally invariant constraints
  56. MV-GMN: State Space Model for Multi-View Action Recognition
  57. PhotoGAN: Generative Adversarial Neural Network Acceleration with Silicon Photonics
  58. Video-MMMU: Evaluating Knowledge Acquisition from Multi-Discipline Professional Videos
  59. Can Hallucinations Help? Boosting LLMs for Drug Discovery
  60. Consistent spectral clustering in sparse tensor block models
  61. Ensuring Medical AI Safety: Interpretability-Driven Detection and Mitigation of Spurious Model Behavior and Associated Data
  62. By-Example Synthesis of Vector Textures
  63. Learning to Help in Multi-Class Settings
  64. Generation of reusable learning objects from digital medical collections: An analysis based on the MASMDOA framework
  65. mmEgoHand: Egocentric Hand Pose Estimation and Gesture Recognition with Head-mounted Millimeter-wave Radar and IMU
  66. PromptMono: Cross Prompting Attention for Self-Supervised Monocular Depth Estimation in Challenging Environments
  67. Local Steps Speed Up Local GD for Heterogeneous Distributed Logistic Regression
  68. Parameter-Efficient Fine-Tuning for Foundation Models
  69. Handling Missing Data in Downstream Tasks With Distribution-Preserving Guarantees
  70. Defending against Adversarial Malware Attacks on ML-based Android Malware Detection Systems
  71. Matrix Completion in Group Testing: Bounds and Simulations
  72. Not Every AI Problem is a Data Problem: We Should Be Intentional About Data Scaling
  73. Explainable XR: Understanding User Behaviors of XR Environments using LLM-assisted Analytics Framework
  74. Crossfire: An Elastic Defense Framework for Graph Neural Networks Under Bit Flip Attacks
  75. Do Large Language Models Truly Understand Geometric Structures?
  76. Integrating Causality with Neurochaos Learning: Proposed Approach and Research Agenda
  77. On Deciding the Data Complexity of Answering Linear Monadic Datalog Queries with LTL Operators(Extended Version)
  78. 2-Tier SimCSE: Elevating BERT for Robust Sentence Embeddings
  79. Solving the long-tailed distribution problem by exploiting the synergies and balance of different techniques
  80. On Disentangled Training for Nonlinear Transform in Learned Image Compression
  81. Exact Soft Analytical Side-Channel Attacks using Tractable Circuits
  82. GPT-HTree: A Decision Tree Framework Integrating Hierarchical Clustering and Large Language Models for Explainable Classification
  83. A Study of the Plausibility of Attention between RNN Encoders in Natural Language Inference
  84. Sample complexity of data-driven tuning of model hyperparameters in neural networks with structured parameter-dependent dual function
  85. A dimensionality reduction technique based on the Gromov-Wasserstein distance
  86. Pseudocode-Injection Magic: Enabling LLMs to Tackle Graph Computational Tasks
  87. Scalable Safe Multi-Agent Reinforcement Learning for Multi-Agent System
  88. You Only Crash Once v2: Perceptually Consistent Strong Features for One-Stage Domain Adaptive Detection of Space Terrain
  89. Musical ethnocentrism in Large Language Models
  90. A Mutual Information Perspective on Multiple Latent Variable Generative Models for Positive View Generation
  91. Skin Disease Detection and Classification of Actinic Keratosis and Psoriasis Utilizing Deep Transfer Learning
  92. Formally Verified Neurosymbolic Trajectory Learning via Tensor-based Linear Temporal Logic on Finite Traces
  93. YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID
  94. Regularizing cross entropy loss via minimum entropy and K-L divergence
  95. A real-time battle situation intelligent awareness system based on Meta-learning & RNN
  96. GenTL: A General Transfer Learning Model for Building Thermal Dynamics
  97. DI-BENCH: Benchmarking Large Language Models on Dependency Inference with Testable Repositories at Scale
  98. The First Indoor Pathloss Radio Map Prediction Challenge
  99. Safety in safe Bayesian optimization and its ramifications for control
  100. Variational U-Net with Local Alignment for Joint Tumor Extraction and Registration (VALOR-Net) of Breast MRI Data Acquired at Two Different Field Strengths
  101. Question Answering on Patient Medical Records with Private Fine-Tuned LLMs
  102. Collective Memory and Narrative Cohesion: A Computational Study of Palestinian Refugee Oral Histories in Lebanon
  103. Certified Robustness Under Bounded Levenshtein Distance
  104. How to Alleviate Catastrophic Forgetting in LLMs Finetuning? Hierarchical Layer-Wise and Element-Wise Regularization
  105. MPG-SAM 2: Adapting SAM 2 with Mask Priors and Global Context for Referring Video Object Segmentation
  106. Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel-Young Loss Perspective and Gap-Dependent Regret Analysis
  107. Enhancing Medical Image Analysis through Geometric and Photometric transformations
  108. The Road to Learning Explainable Inverse Kinematic Models: Graph Neural Networks as Inductive Bias for Symbolic Regression
  109. Quantification via Gaussian Latent Space Representations
  110. Representing Molecules with Algebraic Data Types: Beyond SMILES and SELFIES
  111. Sigma: Differential Rescaling of Query, Key and Value for Efficient Language Models
  112. QMamba: Post-Training Quantization for Vision State Space Models
  113. Efficient Synaptic Delay Implementation in Digital Event-Driven AI Accelerators
  114. Domain-Specific Machine Translation to Translate Medicine Brochures in English to Sorani Kurdish
  115. Optimal Multi-Objective Best Arm Identification with Fixed Confidence
  116. FedPref: Federated Learning Across Heterogeneous Multi-objective Preferences
  117. Learning under Commission and Omission Event Outliers
  118. A Transformer-based Autoregressive Decoder Architecture for Hierarchical Text Classification
  119. A Comprehensive Survey on Spectral Clustering with Graph Structure Learning
  120. Text-to-SQL based on Large Language Models and Database Keyword Search
  121. WFCRL: A Multi-Agent Reinforcement Learning Benchmark for Wind Farm Control
  122. Contrastive Representation Learning Helps Cross-institutional Knowledge Transfer: A Study in Pediatric Ventilation Management
  123. Towards Robust Incremental Learning under Ambiguous Supervision
  124. GoDe: Gaussians on Demand for Progressive Level of Detail and Scalable Compression
  125. Explainable AI-aided Feature Selection and Model Reduction for DRL-based V2X Resource Allocation
  126. Minimizing Queue Length Regret for Arbitrarily Varying Channels
  127. LLMs Can Plan Only If We Tell Them
  128. LITE: Efficiently Estimating Gaussian Probability of Maximality
  129. Towards a Theory of AI Personhood
  130. Overcoming Support Dilution for Robust Few-shot Semantic Segmentation
  131. Text-driven Online Action Detection
  132. Propensity-driven Uncertainty Learning for Sample Exploration in Source-Free Active Domain Adaptation
  133. Communication-Efficient Stochastic Distributed Learning
  134. Self-Supervised Diffusion MRI Denoising via Iterative and Stable Refinement
  135. GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality
  136. Quantized Spike-driven Transformer
  137. RECALL: Library-Like Behavior In Language Models is Enhanced by Self-Referencing Causal Cycles
  138. Robust Amortized Bayesian Inference with Self-Consistency Losses on Unlabeled Data
  139. Polynomial-Time Algorithms for Fair Orientations of Chores
  140. Adaptive Testing for LLM-Based Applications: A Diversity-based Approach
  141. Adaptive Few-Shot Learning (AFSL): Tackling Data Scarcity with Stability, Robustness, and Versatility
  142. LDR-Net: A Novel Framework for AI-generated Image Detection via Localized Discrepancy Representation
  143. Radio Map Estimation via Latent Domain Plug-and-Play Denoising
  144. Leveraging Textual Anatomical Knowledge for Class-Imbalanced Semi-Supervised Multi-Organ Segmentation
  145. Streaming Video Understanding and Multi-round Interaction with Memory-enhanced Knowledge
  146. Multi-Level Attention and Contrastive Learning for Enhanced Text Classification with an Optimized Transformer
  147. Knowledge-Informed Multi-Agent Trajectory Prediction at Signalized Intersections for Infrastructure-to-Everything
  148. Zero-Shot Trajectory Planning for Signal Temporal Logic Tasks
  149. KAA: Kolmogorov-Arnold Attention for Enhancing Attentive Graph Neural Networks
  150. Spurious Forgetting in Continual Learning of Language Models
  151. EchoVideo: Identity-Preserving Human Video Generation by Multimodal Feature Fusion
  152. Deep Modularity Networks with Diversity-Preserving Regularization
  153. MultiDreamer3D: Multi-concept 3D Customization with Concept-Aware Diffusion Guidance
  154. Billion-scale Similarity Search Using a Hybrid Indexing Approach with Advanced Filtering
  155. One-Cycle Structured Pruning via Stability-Driven Subnetwork Search
  156. GC-ConsFlow: Leveraging Optical Flow Residuals and Global Context for Robust Deepfake Detection
  157. Emotion estimation from video footage with LSTM
  158. Wasserstein-regularized Conformal Prediction under General Distribution Shift
  159. Softplus Attention with Re-weighting Boosts Length Extrapolation in Large Language Models
  160. Auto-Prompting SAM for Weakly Supervised Landslide Extraction
  161. Atmospheric Noise-Resilient Image Classification in a Real-World Scenario: Using Hybrid CNN and Pin-GTSVM
  162. Perceived Fairness of the Machine Learning Development Process: Concept Scale Development
  163. LVFace: Progressive Cluster Optimization for Large Vision Models in Face Recognition
  164. A Survey of Code-switched Arabic NLP: Progress, Challenges, and Future Directions
  165. Rethinking the Sample Relations for Few-Shot Classification
  166. GeomGS: LiDAR-Guided Geometry-Aware Gaussian Splatting for Robot Localization
  167. M3PT: A Transformer for Multimodal, Multi-Party Social Signal Prediction with Person-aware Blockwise Attention
  168. Load and Renewable Energy Forecasting Using Deep Learning for Grid Stability
  169. VIGS SLAM: IMU-based Large-Scale 3D Gaussian Splatting SLAM
  170. YOLOv8 to YOLO11: A Comprehensive Architecture In-depth Comparative Review
  171. Towards Intelligent Design: A Self-driven Framework for Collocated Clothing Synthesis Leveraging Fashion Styles and Textures
  172. Time Series Embedding Methods for Classification Tasks: A Review
  173. Can Large Language Models Understand Preferences in Personalized Recommendation?
  174. Beyond Task Diversity: Provable Representation Transfer for Sequential Multi-Task Linear Bandits
  175. AEON: Adaptive Estimation of Instance-Dependent In-Distribution and Out-of-Distribution Label Noise for Robust Learning
  176. From Images to Point Clouds: An Efficient Solution for Cross-media Blind Quality Assessment without Annotated Training
  177. Fast and Provable Tensor-Train Format Tensor Completion via Precondtioned Riemannian Gradient Descent
  178. Clinical utility of foundation models in musculoskeletal MRI for biomarker fidelity and predictive outcomes
  179. Bridging The Multi-Modality Gaps of Audio, Visual and Linguistic for Speech Enhancement
  180. Advancing Carbon Capture using AI: Design of permeable membrane and estimation of parameters for Carbon Capture using linear regression and membrane-based equations
  181. Generative Data Augmentation Challenge: Zero-Shot Speech Synthesis for Personalized Speech Enhancement
  182. Unraveling Normal Anatomy via Fluid-Driven Anomaly Randomization
  183. A review on development of eco-friendly filters in Nepal for use in cigarettes and masks and Air Pollution Analysis with Machine Learning and SHAP Interpretability
  184. MetaWild: A Multimodal Dataset for Animal Re-Identification with Environmental Metadata
  185. Symmetrization Weighted Binary Cross-Entropy: Modeling Perceptual Asymmetry for Human-Consistent Neural Edge Detection
  186. Learning to Bid in Non-Stationary Repeated First-Price Auctions
  187. A light-weight model to generate NDWI from Sentinel-1
  188. ATRNet-STAR: A Large Dataset and Benchmark Towards Remote Sensing Object Recognition in the Wild
  189. Polyhedra Encoding Transformers: Enhancing Diffusion MRI Analysis Beyond Voxel and Volumetric Embedding
  190. DoMINO: A Decomposable Multi-scale Iterative Neural Operator for Modeling Large Scale Engineering Simulations
  191. One Fits All: General Mobility Trajectory Modeling via Masked Conditional Diffusion
  192. Full-Stack Optimized Large Language Models for Lifelong Sequential Behavior Comprehension in Recommendation
  193. YOLOSCM: An improved YOLO algorithm for cars detection
  194. CuriousBot: Interactive Mobile Exploration via Actionable 3D Relational Object Graph
  195. Deblur-Avatar: Animatable Avatars from Motion-Blurred Monocular Videos
  196. Co-Learning Bayesian Optimization
  197. Qrazor: Reliable and Effortless 4-bit LLM Quantization by Significant Data Razoring
  198. Sparse identification of nonlinear dynamics and Koopman operators with Shallow Recurrent Decoder Networks
  199. Investigation of the Privacy Concerns in AI Systems for Young Digital Citizens: A Comparative Stakeholder Analysis
  200. Toward Ethical AI: A Qualitative Analysis of Stakeholder Perspectives
  201. Tensor-Var: Efficient Four-Dimensional Variational Data Assimilation
  202. From Cross-Modal to Mixed-Modal Visible-Infrared Re-Identification
  203. OSUM: Advancing Open Speech Understanding Models with Limited Resources in Academia
  204. Exploring Variance Reduction in Importance Sampling for Efficient DNN Training
  205. Parallel Belief Contraction via Order Aggregation
  206. Task-Oriented Automatic Fact-Checking with Frame-Semantics
  207. Toyteller: AI-powered Visual Storytelling Through Toy-Playing with Character Symbols
  208. Experience with GitHub Copilot for Developer Productivity at Zoominfo