mlsanityData to 7 Oct 2026

Papers

New on arXiv

Wed 21 Aug 2024

280 papers

  1. Reasoning and Tools for Human-Level ForecastingLLM reasoning → Time series reasoning
  2. CaRDiff: Video Salient Object Ranking Chain of Thought Reasoning for Saliency Prediction with DiffusionLLM reasoning → Multimodal reasoning +1
  3. Ancient Wisdom, Modern Tools: Exploring Retrieval-Augmented LLMs for Ancient Indian PhilosophyRetrieval-augmented generation → RAG robustness and adaptive retrieval
  4. GRAB: A Challenging GRaph Analysis Benchmark for Large Multimodal ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  5. Efficient Exploration and Discriminative World Model Learning with an Object-Centric AbstractionWorld models → Latent dynamics models and model-based RL
  6. Great Memory, Shallow Reasoning: Limits of kNN-LMsLLM reasoning → Reasoning benchmarks and evaluation
  7. SEA: Supervised Embedding Alignment for Token-Level Visual-Textual Integration in MLLMsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  8. Pixel Is Not a Barrier: An Effective Evasion Attack for Pixel-Domain Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  9. Story3D-Agent: Exploring 3D Storytelling Visualization with Large Language ModelsLLM agents and tool use → Multimodal and embodied agents
  10. WeQA: A Benchmark for Retrieval Augmented Generation in Wind Energy DomainRetrieval-augmented generation → Agentic RAG, agents and memory
  11. Practical token pruning for foundation models in few-shot conversational virtual assistant systemsEfficient LLM inference and serving → Visual token pruning in multimodal models
  12. EE-MLLM: A Data-Efficient and Compute-Efficient Multimodal Large Language ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  13. Leveraging Chemistry Foundation Models to Facilitate Structure Focused Retrieval Augmented Generation in Multi-Agent Workflows for Catalyst and Materials DesignRetrieval-augmented generation → Medical and biomedical RAG +1
  14. Critique-out-Loud Reward ModelsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  15. DreamFactory: Pioneering Multi-Scene Long Video Generation with a Multi-Agent FrameworkLLM agents and tool use → Multimodal and embodied agents
  16. Timeline and Boundary Guided Diffusion Network for Video Shadow DetectionDiffusion models → Video generation
  17. Personality Alignment of Large Language ModelsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  18. Leveraging Fine-Tuned Retrieval-Augmented Generation with Long-Context Support: For 3GPP StandardsRetrieval-augmented generation → RAG robustness and adaptive retrieval
  19. D-RMGPT: Robot-assisted collaborative tasks driven by large multimodal modelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  20. MambaCSR: Dual-Interleaved Scanning for Compressed Image Super-Resolution With SSMsState-space sequence models (S4, Mamba) → Mamba for image restoration
  21. Against All Odds: Overcoming Typology, Script, and Language Confusion in Multilingual Embedding Inversion AttacksLLM safety and security → Jailbreaking
  22. Understanding Depth and Height Perception in Large Visual-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  23. JieHua Paintings Style Feature Extracting Model using Stable Diffusion with ControlNetDiffusion models → Image generation, text-to-image and editing
  24. CluMo: Cluster-based Modality Fusion Prompt for Continual Learning in Visual Question AnsweringMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  25. Detection-Driven Object Count Optimization for Text-to-Image Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  26. FRAP: Faithful and Realistic Text-to-Image Generation with Adaptive Prompt WeightingDiffusion models → Image generation, text-to-image and editing
  27. Optimizing Interpretable Decision Tree Policies for Reinforcement LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling
  28. Cause-Aware Empathetic Response Generation via Chain-of-Thought Fine-TuningLLM reasoning → Audio-language model reasoning
  29. Large Language Models are Good Attackers: Efficient and Stealthy Textual Backdoor AttacksLLM safety and security → Backdoor and data poisoning attacks
  30. Drama Engine: A Framework for Narrative AgentsLLM agents and tool use → Multimodal and embodied agents
  31. Enhancing Spectral Knowledge Interrogation: A Reliable Retrieval-Augmented Generative Framework on Large Language ModelsRetrieval-augmented generation → Agentic RAG, agents and memory
  32. UNetMamba: An Efficient UNet-Like Mamba for Semantic Segmentation of High-Resolution Remote Sensing ImagesState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  33. Quantifying Behavioral Dissimilarity Between Mathematical ExpressionsLLM reasoning → Mathematical reasoning
  34. SCANS: Mitigating the Exaggerated Safety for LLMs via Safety-Conscious Activation SteeringLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  35. VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality AssessmentLLM alignment / RLHF / preference optimisation → Diffusion and multimodal model alignment
  36. MambaOcc: Visual State Space Model for BEV-based Occupancy Prediction with Local Adaptive ReorderingState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  37. SIGMA: Selective Gated Mamba for Sequential RecommendationState-space sequence models (S4, Mamba) → Core SSM architectures for language
  38. Enabling Small Models for Zero-Shot Selection and Reuse through Model Label LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  39. Towards Aligned Data Removal via Twin Machine UnlearningLLM safety and security → Machine unlearning
  40. Political Bias in LLMs: Unaligned Moral Values in Agent-centric SimulationsLLM agents and tool use → Social simulation and multi-agent debate
  41. Latent Feature and Attention Dual Erasure Attack against Multi-View Diffusion Models for 3D Assets ProtectionDiffusion models → Robustness, privacy and adversarial aspects
  42. Video Diffusion Models are Strong Video InpainterDiffusion models → 3D, point cloud and scene generation
  43. EAGLE: Elevating Geometric Reasoning through LLM-empowered Visual Instruction TuningLLM reasoning → Spatial and embodied reasoning +1
  44. MoE-LPR: Multilingual Extension of Large Language Models through Mixture-of-Experts with Language Priors RoutingMixture-of-experts → MoE large language models
  45. RAGLAB: A Modular and Research-Oriented Unified Framework for Retrieval-Augmented GenerationRetrieval-augmented generation → Conversational and speech RAG
  46. A Unified Framework for Continual Learning and UnlearningLLM safety and security → Machine unlearning
  47. GeoReasoner: Reasoning On Geospatially Grounded Context For Natural Language UnderstandingLLM reasoning → Spatial and embodied reasoning
  48. HumanCoser: Layered 3D Human Generation via Semantic-Aware Diffusion ModelDiffusion models → 3D, point cloud and scene generation
  49. Automating Thought of Search: A Journey Towards Soundness and CompletenessLLM reasoning → Test-time compute and efficient thinking
  50. An Optimizable Suffix Is Worth A Thousand Templates: Efficient Black-box Jailbreaking without Affirmative Phrases via LLM as OptimizerLLM safety and security → Jailbreaking
  51. Swarm Intelligence in Geo-Localization: A Multi-Agent Large Vision-Language Model Collaborative FrameworkLLM reasoning → Spatial and embodied reasoning +2
  52. Defending against Jailbreak through Early Exit Generation of Large Language ModelsEfficient LLM inference and serving → Diffusion LLM and MoE inference +1
  53. UniFashion: A Unified Vision-Language Model for Multimodal Fashion Retrieval and GenerationMultimodal LLMs / vision-language models → Document understanding and multimodal RAG +1
  54. FedMoE: Personalized Federated Learning via Heterogeneous Mixture of ExpertsMixture-of-experts → Federated mixture-of-experts
  55. Offline Policy Learning via Skill-step Abstraction for Long-horizon Goal-Conditioned TasksOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
  56. Making Large Vision Language Models to be Good Few-shot LearnersMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  57. RePair: Automated Program Repair with Process-based FeedbackLLM alignment / RLHF / preference optimisation → Process reward models for reasoning
  58. HMT-UNet: A hybird Mamba-Transformer Vision UNet for Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  59. Taming Generative Diffusion Prior for Universal Blind Image RestorationDiffusion models → Inverse problems and image restoration
  60. Sycophancy in Vision-Language Models: A Systematic Analysis and an Inference-Time Mitigation FrameworkMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  61. Sliding Window Training -- Utilizing Historical Recommender Systems Data for Foundation Models
  62. Federated Learning Approach to Mitigate Water Wastage
  63. CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction
  64. Exploiting XAI maps to improve MS lesion segmentation and detection in MRI
  65. Representation Learning of Complex Assemblies, An Effort to Improve Corporate Scope 3 Emissions Calculation
  66. EMCNet : Graph-Nets for Electron Micrographs Classification
  67. Attentive Dilated Convolution for Automatic Sleep Staging using Force-directed Layout
  68. SORSA: Singular Values and Orthonormal Regularized Singular Vectors Adaptation of Large Language Models
  69. Multi-Task Multi-Fidelity Learning of Properties for Energetic Materials
  70. Randomization Techniques to Mitigate the Risk of Copyright Infringement
  71. Identifying Locally Turbulent Vortices within Instabilities
  72. Continual Gesture Learning without Data via Synthetic Feature Sampling
  73. FUSELOC: Fusing Global and Local Descriptors to Disambiguate 2D-3D Matching in Visual Localization
  74. Let Community Rules Be Reflected in Online Content Moderation
  75. A Constraint Programming Approach to Fair High School Course Scheduling
  76. Federated Diabetes Prediction in Canadian Adults Using Real-world Cross-Province Primary Care Data
  77. Exploring Large Language Models for Feature Selection: A Data-centric Perspective
  78. Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition -- And Ways to Overcome Them
  79. Understanding Epistemic Language with a Language-augmented Bayesian Theory of Mind
  80. Detection of Under-represented Samples Using Dynamic Batch Training for Brain Tumor Segmentation from MR Images
  81. Does It Look Sequential? An Analysis of Datasets for Evaluation of Sequential Recommendations
  82. QuaCK-TSF: Quantum-Classical Kernelized Time Series Forecasting
  83. Energy Estimation of Last Mile Electric Vehicle Routes
  84. CSPI-MT: Calibrated Safe Policy Improvement with Multiple Testing for Threshold Policies
  85. RAG-Optimized Tibetan Tourism LLMs: Enhancing Accuracy and Personalization
  86. MBSS-T1: Model-Based Subject-Specific Self-Supervised Motion Correction for Robust Cardiac T1 Mapping
  87. Time Series Foundation Models and Deep Learning Architectures for Earthquake Temporal and Spatial Nowcasting
  88. SimBench: A Framework for Evaluating and Diagnosing LLM-Based Digital-Twin Generation for Multi-Physics Simulation
  89. Chemical Reaction Neural Networks for Fitting Accelerating Rate Calorimetry Data
  90. AIM 2024 Challenge on Compressed Video Quality Assessment: Methods and Results
  91. Large Language Models for Page Stream Segmentation
  92. Only Strict Saddles in the Energy Landscape of Predictive Coding Networks?
  93. An Asymptotically Optimal Coordinate Descent Algorithm for Learning Bayesian Networks from Gaussian Models
  94. Sentiment and Emotion-aware Multi-criteria Fuzzy Group Decision Making System
  95. Two-Timescale Gradient Descent Ascent Algorithms for Nonconvex Minimax Optimization
  96. DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics
  97. Valuing an Engagement Surface using a Large Scale Dynamic Causal Model
  98. Visual Localization in 3D Maps: Comparing Point Cloud, Mesh, and NeRF Representations
  99. CT-AGRG: Automated Abnormality-Guided Report Generation from 3D Chest CT Volumes
  100. Real-Time Incremental Explanations for Object Detectors in Autonomous Driving
All 280
  1. Characterizing Online Toxicity During the 2022 Mpox Outbreak: A Computational Analysis of Topical and Network Dynamics
  2. Decoding SEC Actions: Enforcement Trends through Analyzing Blockchain litigation using LLM-based Thematic Factor Mapping
  3. CARLA Drone: Monocular 3D Object Detection from a Different Perspective
  4. The Whole Is Bigger Than the Sum of Its Parts: Modeling Individual Annotators to Capture Emotional Variability
  5. Topological Representational Similarity Analysis in Brains and Beyond
  6. Advances in Preference-based Reinforcement Learning: A Review
  7. The State of Commercial Automatic French Legal Speech Recognition Systems and their Impact on Court Reporters et al
  8. Matmul or No Matmul in the Era of 1-bit LLMs
  9. Estimating Contribution Quality in Online Deliberations Using a Large Language Model
  10. Explainable Anomaly Detection: Counterfactual driven What-If Analysis
  11. Defining Boundaries: The Impact of Domain Specification on Cross-Language and Cross-Domain Transfer in Machine Translation
  12. An Open Knowledge Graph-Based Approach for Mapping Concepts and Requirements between the EU AI Act and International Standards
  13. Interpretable Classification via a Rule Network with Selective Logical Operators
  14. Video-Foley: Two-Stage Video-To-Sound Generation via Temporal Event Condition For Foley Sound
  15. Why am I Still Seeing This: Measuring the Effectiveness Of Ad Controls and Explanations in AI-Mediated Ad Targeting Systems
  16. A Unified Theory of Quantum Neural Network Loss Landscapes
  17. Bioimpedance a Diagnostic Tool for Tobacco Induced Oral Lesions: a Mixed Model cross-sectional study
  18. ST-USleepNet: A Spatial-Temporal Coupling Prominence Network for Multi-Channel Sleep Staging
  19. SynPlay: Large-Scale Synthetic Human Data with Real-World Diversity for Aerial-View Perception
  20. Scaling Cross-Embodied Learning: One Policy for Manipulation, Navigation, Locomotion and Aviation
  21. EmbodiedSAM: Online Segment Any 3D Thing in Real Time
  22. ACE: A Cross-Platform Visual-Exoskeletons System for Low-Cost Dexterous Teleoperation
  23. Approaching Deep Learning through the Spectral Dynamics of Weights
  24. LLM Pruning and Distillation in Practice: The Minitron Approach
  25. Optical ISAC: Fundamental Performance Limits and Transceiver Design
  26. NuSegDG: Integration of Heterogeneous Space and Gaussian Kernel for Domain-Generalized Nuclei Segmentation
  27. RFID based Health Adherence Medicine Case Using Fair Federated Learning
  28. Sum of Squares Circuits
  29. Deviations from the Nash equilibrium in a two-player optimal execution game with reinforcement learning
  30. Embedding Ordinality to Binary Loss Function for Improving Solar Flare Forecasting
  31. R2Det: Exploring Relaxed Rotation Equivariance in 2D object detection
  32. Improving the Scan-rescan Precision of AI-based CMR Biomarker Estimation
  33. OE3DIS: Open-Ended 3D Point Cloud Instance Segmentation
  34. Mixed Sparsity Training: Achieving 4× FLOP Reduction for Transformer Pretraining
  35. FocusLLM: Precise Understanding of Long Context by Dynamic Condensing
  36. MARLIN: Mixed-Precision Auto-Regressive Parallel Inference on Large Language Models
  37. Clinical Insights: A Comprehensive Review of Language Models in Medicine
  38. Enhancing Cross-Modal Medical Image Segmentation through Compositionality
  39. Efficient Detection of Toxic Prompts in Large Language Models
  40. On Learnable Parameters of Optimal and Suboptimal Deep Learning Models
  41. Scalable and non-iterative graphical model estimation
  42. ControlCol: Controllability in Automatic Speaker Video Colorization
  43. Leveraging Large Language Models for Enhancing the Understandability of Generated Unit Tests
  44. FedGS: Federated Gradient Scaling for Heterogeneous Medical Image Segmentation
  45. Supervised Representation Learning towards Generalizable Assembly State Recognition
  46. Robust 3D Gaussian Splatting for Novel View Synthesis in Presence of Distractors
  47. Physics-informed Discovery of State Variables in Second-Order and Hamiltonian Systems
  48. Interpretable Long-term Action Quality Assessment
  49. Plug-in estimation of Schr"odinger bridges
  50. LiFCal: Online Light Field Camera Calibration via Bundle Adjustment
  51. First line of defense: A robust first layer mitigates adversarial attacks
  52. BadVim: Unveiling Backdoor Threats in Visual State Space Model
  53. Optimizing Federated Graph Learning with Inherent Structural Knowledge and Dual-Densely Connected GNNs
  54. 5G NR PRACH Detection with Convolutional Neural Networks (CNN): Overcoming Cell Interference Challenges
  55. Macformer: Transformer with Random Maclaurin Feature Attention
  56. CIPHER: Cybersecurity Intelligent Penetration-testing Helper for Ethical Researcher
  57. Video-to-Text Pedestrian Monitoring (VTPM): Leveraging Computer Vision and Large Language Models for Privacy-Preserve Pedestrian Activity Monitoring at Intersections
  58. Estimated Audio-Caption Correspondences Improve Language-Based Audio Retrieval
  59. A Probabilistic Framework for Learnable Optimization Algorithms
  60. End-to-End Cost-Effective Incentive Recommendation under Budget Constraint with Uplift Modeling
  61. Annealed Sinkhorn for Optimal Transport: convergence, regularization path and debiasing
  62. Data-driven Modeling of Combined Sewer Systems for Urban Sustainability: An Empirical Evaluation
  63. DTN: Deep Multiple Task-specific Feature Interactions Network for Multi-Task Recommendation
  64. Xinyu: An Efficient LLM-based System for Commentary Generation
  65. Don't Kill the Baby: The Case for AI in Arbitration
  66. Networked Communication for Mean-Field Games with Function Approximation and Empirical Mean-Field Estimation
  67. Improving Calibration by Relating Focal Loss, Temperature Scaling, and Properness
  68. Calibrating the Predictions for Top-N Recommendations
  69. MCDubber: Multimodal Context-Aware Expressive Video Dubbing
  70. Active learning for efficient data selection in radio-signal based positioning via deep learning
  71. Toward Enhancing Vehicle Color Recognition in Adverse Conditions: A Dataset and Benchmark
  72. RaNDT SLAM: Radar SLAM Based on Intensity-Augmented Normal Distributions Transform
  73. Finite element-based space-time total variation-type regularization of the inverse problem in electrocardiographic imaging
  74. CHOTA: A Higher Order Accuracy Metric for Cell Tracking
  75. Positional Prompt Tuning for Efficient 3D Representation Learning
  76. AutoDirector: Online Auto-scheduling Agents for Multi-sensory Composition
  77. Self-Supervised Iterative Refinement for Anomaly Detection in Industrial Quality Control
  78. Semi-supervised 3D Semantic Scene Completion with 2D Vision Foundation Model Guidance
  79. GSTran: Joint Geometric and Semantic Coherence for Point Cloud Segmentation
  80. Differentiating Choices via Commonality for Multiple-Choice Question Answering
  81. AnyDesign: Versatile Area Fashion Editing via Mask-Free Diffusion
  82. Explainable Deep Learning Framework for Human Activity Recognition
  83. Memorization in In-Context Learning
  84. Evolution of Detection Performance throughout the Online Lifespan of Synthetic Images
  85. DeRainGS: Gaussian Splatting for Enhanced Scene Reconstruction in Rainy Environments
  86. A Survey of Embodied Learning for Object-Centric Robotic Manipulation
  87. SAM-REF: Introducing Image-Prompt Synergy during Interaction for Detail Enhancement in the Segment Anything Model
  88. Just Project! Multi-Channel Despeckling, the Easy Way
  89. Scalable Knowledge Refactoring using Constrained Optimisation
  90. The Vizier Gaussian Process Bandit Algorithm
  91. RConE: Rough Cone Embedding for Multi-Hop Logical Query Answering on Multi-Modal Knowledge Graphs
  92. LARR: Large Language Model Aided Real-time Scene Recommendation with Semantic Understanding
  93. EmoFace: Emotion-Content Disentangled Speech-Driven 3D Talking Face Animation
  94. Imagining from Images with an AI Storytelling Tool
  95. Last-Iterate Convergence of General Parameterized Policies in Constrained MDPs
  96. IKUN for WMT24 General MT Task: LLMs Are here for Multilingual Machine Translation
  97. MSCPT: Few-shot Whole Slide Image Classification with Multi-scale and Context-focused Prompt Tuning
  98. Slicing Input Features to Accelerate Deep Learning: A Case Study with Graph Neural Networks
  99. Mutagenesis screen to map the functions of parameters of Large Language Models
  100. XDT-CXR: Investigating Cross-Disease Transferability in Zero-Shot Binary Classification of Chest X-Rays
  101. Estimating Peer Direct and Indirect Effects in Observational Network Data
  102. DocTabQA: Answering Questions from Long Documents Using Tables
  103. OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal
  104. Learning Deep Dissipative Dynamics
  105. LAKD-Activation Mapping Distillation Based on Local Learning
  106. TrackGo: A Flexible and Efficient Method for Controllable Video Generation
  107. The Self-Contained Negation Test Set
  108. MeTTA: Single-View to 3D Textured Mesh Reconstruction with Test-Time Adaptation
  109. Low-Light Object Tracking: A Benchmark
  110. Expanding FLORES+ Benchmark for more Low-Resource Settings: Portuguese-Emakhuwa Machine Translation Evaluation
  111. Using Part-based Representations for Explainable Deep Reinforcement Learning
  112. Persistent Homology via Ellipsoids
  113. Lookism: The overlooked bias in computer vision
  114. GaussianOcc: Fully Self-supervised and Efficient 3D Occupancy Estimation with Gaussian Splatting
  115. Distributional Properties of Subword Regularization
  116. Epistemic Injustice in Generative AI
  117. LAHAJA: A Robust Multi-accent Benchmark for Evaluating Hindi ASR Systems
  118. BAdd: Bias Mitigation through Bias Addition
  119. Benchmarking AI-based data assimilation to advance data-driven global weather forecasting
  120. T2VIndexer: A Generative Video Indexer for Efficient Text-Video Retrieval
  121. Diagnosing and Remedying Knowledge Deficiencies in LLMs via Label-free Curricular Meaningful Learning
  122. Long-Range Vision-Based UAV-assisted Localization for Unmanned Surface Vehicles
  123. EMO-LLaMA: Enhancing Facial Emotion Understanding with Instruction Tuning
  124. Pano2Room: Novel View Synthesis from a Single Indoor Panorama
  125. Linear-time One-Class Classification with Repeated Element-wise Folding
  126. SelfDRSC++: Self-Supervised Dual Reversed Rolling Shutter Correction via Video Interpolation
  127. Domain-invariant Progressive Knowledge Distillation for UAV-based Object Detection
  128. Revisiting FunnyBirds evaluation framework for prototypical parts networks
  129. First Activations Matter: Training-Free Methods for Dynamic Activation in Large Language Models
  130. Fairness measures for biometric quality assessment
  131. On Quasi-Localized Dual Pairs in Reproducing Kernel Hilbert Spaces
  132. Data-Centric Machine Learning for Earth Observation: Necessary and Sufficient Features
  133. Towards Inducing Long-Context Abilities in Multilingual Neural Machine Translation Models
  134. Reflex-Based Open-Vocabulary Navigation without Prior Knowledge Using Omnidirectional Camera and Multiple Vision-Language Models
  135. Denoising Pre-Training and Customized Prompt Learning for Efficient Multi-Behavior Sequential Recommendation
  136. Solving Decision Theory Problems with Probabilistic Answer Set Programming
  137. Graph Classification via Reference Distribution Learning: Theory and Practice
  138. Towards Probabilistic Inductive Logic Programming with Neurosymbolic Inference and Relaxation
  139. Current Status and Trends in Image Anti-Forensics Research: A Bibliometric Analysis
  140. ProteinGPT: Multimodal LLM for Protein Property Prediction and Structure Understanding
  141. Hypergraph Learning based Recommender System for Anomaly Detection, Control and Optimization
  142. One-step Structure Prediction and Screening for Protein-Ligand Complexes using Multi-Task Geometric Deep Learning
  143. Vision HgNN: An Electron-Micrograph is Worth Hypergraph of Hypernodes
  144. Image Score: Learning and Evaluating Human Preferences for Mercari Search
  145. Learning Flock: Enhancing Sets of Particles for Multi~Sub-State Particle Filtering with Neural Augmentation
  146. Multimodal Datasets and Benchmarks for Reasoning about Dynamic Spatio-Temporality in Everyday Environments
  147. Clinical Context-aware Radiology Report Generation from Medical Images using Transformers
  148. EHL*: Memory-Budgeted Indexing for Ultrafast Optimal Euclidean Pathfinding
  149. Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond
  150. FATE: Focal-modulated Attention Encoder for Multivariate Time-series Forecasting
  151. BURExtract-Llama: An LLM for Clinical Concept Extraction in Breast Ultrasound Reports
  152. Design Principle Transfer in Neural Architecture Search via Large Language Models
  153. Plug, Play, and Fuse: Zero-Shot Joint Decoding via Word-Level Re-ranking Across Diverse Vocabularies
  154. Optimizing Transmit Field Inhomogeneity of Parallel RF Transmit Design in 7T MRI using Deep Learning
  155. Transfer Learning and the Early Estimation of Single-Photon Source Quality using Machine Learning Methods
  156. SarcasmBench: Towards Evaluating Large Language Models on Sarcasm Understanding
  157. TWLV-I: Analysis and Insights from Holistic Evaluation on Video Foundation Models
  158. Probabilistic Medical Predictions of Large Language Models
  159. Improving Out-of-Distribution Data Handling and Corruption Resistance via Modern Hopfield Networks
  160. Are KANs Effective for Multivariate Time Series Forecasting?
  161. Koopman AutoEncoder via Singular Value Decomposition for Data-Driven Long-Term Prediction
  162. Modeling Reference-dependent Choices with Graph Neural Networks
  163. RedWhale: An Adapted Korean LLM Through Efficient Continual Pretraining
  164. ViIK: Flow-based Vision Inverse Kinematics Solver with Fusing Collision Checking
  165. Applying and Evaluating Large Language Models in Mental Health Care: A Scoping Review of Human-Assessed Generative Tasks
  166. Video Emotion Open-vocabulary Recognition Based on Multimodal Large Language Model
  167. Inference Plans for Hybrid Particle Filtering
  168. BearLLM: A Prior Knowledge-Enhanced Bearing Health Management Framework with Unified Vibration Signal Representation
  169. Exploring Scene Affinity for Semi-Supervised LiDAR Semantic Segmentation
  170. The Key of Parameter Skew in Federated Learning
  171. Chernoff Bounds for Tensor Expanders on Riemannian Manifolds Using Graph Laplacian Approximation
  172. On Missing Scores in Evolving Multibiometric Systems
  173. Inverting the Leverage Score Gradient: An Efficient Approximate Newton Method
  174. Practical Aspects on Solving Differential Equations Using Deep Learning: A Primer
  175. Correlation Analysis of Adversarial Attack in Time Series Classification
  176. Improving Speech Recognition Error Prediction for Modern and Off-the-shelf Speech Recognizers
  177. Automatic Image Annotation (AIA) of AlmondNet-20 Method for Almond Detection by Improved CNN-based Model
  178. Counterfactuals As a Means for Evaluating Faithfulness of Attribution Methods in Autoregressive Language Models
  179. Irregularity Inspection using Neural Radiance Field
  180. CNN-based Labelled Crack Detection for Image Annotation