mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 10 Jul 2024

280 papers

  1. LEMoN: Label Error Detection using Multimodal NeighborsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  2. Be More Real: Travel Diary Generation Using LLM Agents and Individual ProfilesLLM agents and tool use → Multimodal and embodied agents
  3. Adversarial Attacks and Defenses on Text-to-Image Diffusion Models: A SurveyDiffusion models → Robustness, privacy and adversarial aspects
  4. Virtual Agents for Alcohol Use Counseling: Exploring LLM-Powered Motivational InterviewingLLM agents and tool use → Medical and scientific domain agents
  5. MambaVision: A Hybrid Mamba-Transformer Vision BackboneState-space sequence models (S4, Mamba) → Vision Mamba backbones
  6. Imitation Learning with Additional Constraints on Motion Style using Parametric BiasOffline RL and imitation learning from data → Real-world robot offline RL
  7. A Critical Review of Causal Reasoning Benchmarks for Large Language ModelsLLM reasoning → Causal reasoning in LLMs
  8. Deep Reinforcement Learning for Sequential Combinatorial AuctionsDeep reinforcement learning methods → Adversarial robustness and RL in finance
  9. Coherent and Multi-modality Image Inpainting via Latent Space OptimizationDiffusion models → 3D, point cloud and scene generation
  10. What's the score? Automated Denoising Score Matching for Nonlinear DiffusionsDiffusion models → Diffusion foundations and sampling
  11. LLaVA-NeXT-Interleave: Tackling Multi-image, Video, and 3D in Large Multimodal ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  12. Towards Robust Alignment of Language Models: Distributionally Robustifying Direct Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  13. Generative Image as Action ModelsDiffusion models → Diffusion and flow policies for robotics
  14. Controlling Space and Time with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  15. FACTS About Building Retrieval Augmented Generation-based ChatbotsRetrieval-augmented generation → RAG pipeline design and evaluation
  16. Decompose and Compare Consistency: Measuring VLMs' Answer Reliability via Task-Decomposition Consistency ComparisonMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  17. Reinforcement Learning of Adaptive Acquisition Policies for Inverse ProblemsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  18. Flooding Spread of Manipulated Knowledge in LLM-Based Multi-Agent CommunitiesLLM agents and tool use → Agent threats, guardrails and governance
  19. Continuous Control with Coarse-to-fine Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  20. The Human Factor in AI Red Teaming: Perspectives from Social and Collaborative ComputingLLM safety and security → Prompt injection and agent security
  21. WorldAPIs: The World Is Worth How Many APIs? A Thought ExperimentLLM reasoning → Spatial and embodied reasoning
  22. Protecting NeRFs' Copyright via Plug-And-Play Watermarking Base ModelLLM safety and security → Watermarking generated content and models
  23. PaliGemma: A versatile 3B VLM for transferMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  24. Towards Human-Like Driving: Active Inference in Autonomous Vehicle ControlEnd-to-end autonomous driving → Imitation-learning end-to-end planners
  25. VEnhancer: Generative Space-Time Enhancement for Video GenerationDiffusion models → Video generation
  26. Tuning Vision-Language Models with Candidate Labels by Prompt AlignmentMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  27. Pessimism Meets Risk: Risk-Sensitive Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  28. MARS: Mixture of Auto-Regressive Models for Fine-grained Text-to-image SynthesisDiffusion models → Image generation, text-to-image and editing
  29. Teaching Transformers Causal Reasoning through Axiomatic TrainingLLM reasoning → Causal reasoning in LLMs
  30. Simplifying Source-Free Domain Adaptation for Object Detection: Effective Self-Training Strategies and Performance InsightsKnowledge distillation → Detection and dense prediction distillation
  31. IDA-VLM: Towards Movie Understanding via ID-Aware Large Vision-Language ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  32. Machine Unlearning for Medical ImagingLLM safety and security → Machine unlearning
  33. HDKD: Hybrid Data-Efficient Knowledge Distillation Network for Medical Image ClassificationKnowledge distillation → General knowledge distillation methods
  34. Swin SMT: Global Sequential Modeling in 3D Medical Image SegmentationMixture-of-experts → Medical and biomedical MoE
  35. Zero-Shot Class Unlearning in CLIP with Synthetic SamplesLLM safety and security → Machine unlearning
  36. CM-DQN: A Value-Based Deep Reinforcement Learning Model to Simulate Confirmation BiasDeep reinforcement learning methods → Deep RL algorithms and representations
  37. Controllable Navigation Instruction Generation with Chain of Thought PromptingLLM reasoning → Spatial and embodied reasoning
  38. A Survey of Attacks on Large Vision-Language Models: Resources, Advances, and Future TrendsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
  39. Malicious Path Manipulations via Exploitation of Representation Vulnerabilities of Vision-Language Navigation SystemsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  40. Real-time system optimal traffic routing under uncertainties -- Can physics models boost reinforcement learning?Deep reinforcement learning methods → RL for autonomous driving and traffic
  41. Multilingual Blending: LLM Safety Alignment Evaluation with Language MixtureLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  42. Mitigating Partial Observability in Sequential Decision Processes via the Lambda DiscrepancyDeep reinforcement learning methods → RL theory and sample complexity
  43. Fuse, Reason and Verify: Geometry Problem Solving with Parsed Clauses from DiagramLLM reasoning → Spatial and embodied reasoning
  44. CosmoCLIP: Generalizing Large Vision-Language Models for Astronomical ImagingMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  45. Deformation-Recovery Diffusion Model (DRDM): Instance Deformation for Image Manipulation and SynthesisDiffusion models → Medical imaging and segmentation
  46. Structural Design Through Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  47. Transfer Learning for Wildlife Classification: Evaluating YOLOv8 against DenseNet, ResNet, and VGGNet on a Custom Dataset
  48. LitSearch: A Retrieval Benchmark for Scientific Literature Search
  49. Promoting AI Competencies for Medical Students: A Scoping Review on Frameworks, Programs, and Tools
  50. Mitigating Cognitive Biases in Multi-Criteria Crowd Assessment
  51. Advancements in Recommender Systems: A Comprehensive Analysis Based on Data, Algorithms, and Evaluation
  52. A Machine Learning and Explainable AI Framework Tailored for Unbalanced Experimental Catalyst Discovery
  53. The Design of a 3D Character Animation System for Digital Twins in the Metaverse
  54. Dynamic Encoder Size Based on Data-Driven Layer-wise Pruning for Speech Recognition
  55. Disturbance-based Discretization, Differentiable IDS Channel, and an IDS-Correcting Code for DNA-based Storage
  56. The Voice: Lessons on Trustworthy Conversational Agents from "Dune"
  57. Explaining Spectrograms in Machine Learning: A Study on Neural Networks for Speech Classification
  58. Applying generative neural networks for fast simulations of the ALICE (CERN) experiment
  59. Analyzing Large language models chatbots: An experimental approach using a probability test
  60. CiteME: Can Language Models Accurately Cite Scientific Claims?
  61. STAGE: Simplified Text-Attributed Graph Embeddings Using Pre-trained LLMs
  62. Automated Question Generation on Tabular Data for Conversational Data Exploration
  63. Grounding and Evaluation for Large Language Models: Practical Challenges and Lessons Learned (Survey)
  64. EfficientQAT: Efficient Quantization-Aware Training for Large Language Models
  65. Exploring the Boundaries of On-Device Inference: When Tiny Falls Short, Go Hierarchical
  66. A review of graph neural network applications in mechanics-related domains
  67. Was it Slander? Towards Exact Inversion of Generative Language Models
  68. SPIN: SE(3)-Invariant Physics Informed Network for Binding Affinity Prediction
  69. Industrial-Grade Time-Dependent Counterfactual Root Cause Analysis through the Unanticipated Point of Incipient Failure: a Proof of Concept
  70. ImPORTance: Machine Learning-Driven Analysis of Global Port Significance and Network Dynamics for Improved Operational Efficiency
  71. Evaluating Voice Command Pipelines for Drone Control: From STT and LLM to Direct Classification and Siamese Networks
  72. DIOR-ViT: Differential Ordinal Learning Vision Transformer for Cancer Classification in Pathology Images
  73. Density Estimation via Binless Multidimensional Integration
  74. MemWarp: Discontinuity-Preserving Cardiac Registration with Memorized Anatomical Filters
  75. The GeometricKernels Package: Heat and Mat'ern Kernels for Geometric Learning on Manifolds, Meshes, and Graphs
  76. Smooth Like Butter: Evaluating Multi-Lattice Transitions in Property-Augmented Latent Spaces
  77. NDST: Neural Driving Style Transfer for Human-Like Vision-Based Autonomous Driving
  78. On LLM Wizards: Identifying Large Language Models' Behaviors for Wizard of Oz Experiments
  79. Towards Interpretable Foundation Models of Robot Behavior: A Task Specific Policy Generation Approach
  80. TinyGraph: Joint Feature and Node Condensation for Graph Neural Networks
  81. Geospecific View Generation -- Geometry-Context Aware High-resolution Ground View Inference from Satellite Views
  82. Pareto Low-Rank Adapters: Efficient Multi-Task Learning with Preferences
  83. Deep Learning-Based Robust Multi-Object Tracking via Fusion of mmWave Radar and Camera Sensors
  84. Spatial-Temporal Attention Model for Traffic State Estimation with Sparse Internet of Vehicles
  85. RoLoRA: Fine-tuning Rotated Outlier-free LLMs for Effective Weight-Activation Quantization
  86. TACLE: Task and Class-aware Exemplar-free Semi-supervised Class Incremental Learning
  87. Knowledge Overshadowing Causes Amalgamated Hallucination in Large Language Models
  88. FsPONER: Few-shot Prompt Optimization for Named Entity Recognition in Domain-specific Scenarios
  89. Spatial-Temporal Generative AI for Traffic Flow Estimation with Sparse Data of Connected Vehicles
  90. Fish-Vista: A Multi-Purpose Dataset for Understanding & Identification of Traits from Images
  91. Hybrid Structure-from-Motion and Camera Relocalization for Enhanced Egocentric Localization
  92. Interactive Segmentation Model for Placenta Segmentation from 3D Ultrasound images
  93. A Self-organizing Interval Type-2 Fuzzy Neural Network for Multi-Step Time Series Prediction
  94. DS@GT eRisk 2024: Sentence Transformers for Social Media Risk Assessment
  95. Machine Learning for ALSFRS-R Score Prediction: Making Sense of the Sensor Data
  96. Automated Neural Patent Landscaping in the Small Data Regime
  97. Fusion of Short-term and Long-term Attention for Video Mirror Detection
  98. ICD Codes are Insufficient to Create Datasets for Machine Learning: An Evaluation Using All of Us Data for Coccidioidomycosis and Myocardial Infarction
  99. Flow4D: Leveraging 4D Voxel Network for LiDAR Scene Flow Estimation
  100. Automating Weak Label Generation for Data Programming with Clinicians in the Loop
All 280
  1. Deconstructing What Makes a Good Optimizer for Language Models
  2. A Comprehensive Survey on the Security of Smart Grid: Challenges, Mitigations, and Future Research Opportunities
  3. Bayesian Detector Combination for Object Detection with Crowdsourced Annotations
  4. Rel-A.I.: An Interaction-Centered Approach To Measuring Human-LM Reliance
  5. Identifying Macro Conditional Independencies and Macro Total Effects in Summary Causal Graphs with Latent Confounding
  6. Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments
  7. Search, Examine and Early-Termination: Fake News Detection with Annotation-Free Evidences
  8. Token-Mol 1.0: Tokenized drug design with large language model
  9. Pentagonal Photonic Crystal Mirrors: Scalable Lightsails with Enhanced Acceleration via Neural Topology Optimization
  10. Training on the Test Task Confounds Evaluation and Emergence
  11. AdaptiGraph: Material-Adaptive Graph-Based Neural Dynamics for Robotic Manipulation
  12. Learning In-Hand Translation Using Tactile Skin With Shear and Normal Force Sensing
  13. Vegetable Peeling: A Case Study in Constrained Dexterous Manipulation
  14. Toto: Time Series Optimized Transformer for Observability
  15. Dynamical Measure Transport and Neural PDE Solvers for Sampling
  16. Green Screen Augmentation Enables Scene Generalisation in Robotic Manipulation
  17. Progressive Growing of Patch Size: Resource-Efficient Curriculum Learning for Dense Prediction Tasks
  18. OpenDiLoCo: An Open-Source Framework for Globally Distributed Low-Communication Training
  19. Uncovering Layer-Dependent Activation Sparsity Patterns in ReLU Transformers
  20. OV-DINO: Unified Open-Vocabulary Detection with Language-Aware Selective Fusion
  21. Study on Aspect Ratio Variability toward Robustness of Vision Transformer-based Vehicle Re-identification
  22. Benchmarking Embedding Aggregation Methods in Computational Pathology: A Clinical Data Perspective
  23. RoBus: A Multimodal Dataset for Controllable Road Networks and Building Layouts Generation
  24. Disentangled Representation Learning with the Gromov-Monge Gap
  25. Estimating the stability number of a random graph using convolutional neural networks
  26. RT-LA-VocE: Real-Time Low-SNR Audio-Visual Speech Enhancement
  27. When to Accept Automated Predictions and When to Defer to Human Judgment?
  28. The Misclassification Likelihood Matrix: Some Classes Are More Likely To Be Misclassified Than Others
  29. A Survey on Deep Stereo Matching in the Twenties
  30. Transformer Block Coupling and its Correlation with Generalization in LLMs
  31. SUMix: Mixup with Semantic and Uncertain Information
  32. ROSA: Random Subspace Adaptation for Efficient Fine-Tuning
  33. AVCap: Leveraging Audio-Visual Features as Text Tokens for Captioning
  34. Attribute or Abstain: Large Language Models as Long Document Assistants
  35. Evaluating Large Language Models with Grid-Based Game Competitions: An Extensible LLM Benchmark and Leaderboard
  36. Raising the Ceiling: Conflict-Free Local Feature Matching with Dynamic View Switching
  37. BiGym: A Demo-Driven Mobile Bi-Manual Manipulation Benchmark
  38. Sequential Kalman Tuning of the t-preconditioned Crank-Nicolson algorithm: efficient, adaptive and gradient-free inference for Bayesian inverse problems
  39. Cross Domain Object Detection via Multi-Granularity Confidence Alignment based Mean Teacher
  40. Mobility VLA: Multimodal Instruction Navigation with Long-Context VLMs and Topological Graphs
  41. Multi-task Prompt Words Learning for Social Media Content Generation
  42. Ramsey Theorems for Trees and a General 'Private Learning Implies Online Learning' Theorem
  43. PosFormer: Recognizing Complex Handwritten Mathematical Expression with Position Forest Transformer
  44. S&D Messenger: Exchanging Semantic and Domain Knowledge for Generic Semi-Supervised Medical Image Segmentation
  45. Learning Spatial-Semantic Features for Robust Video Object Segmentation
  46. Neural Geometry Processing via Spherical Neural Surfaces
  47. LSM: A Comprehensive Metric for Assessing the Safety of Lane Detection Systems in Autonomous Driving
  48. Fine-Tuning Large Language Models with User-Level Differential Privacy
  49. SaMoye: Zero-shot Singing Voice Conversion Model Based on Feature Disentanglement and Enhancement
  50. Exploiting Scale-Variant Attention for Segmenting Small Medical Objects
  51. Deep-Graph-Sprints: Accelerated Representation Learning in Continuous-Time Dynamic Graphs
  52. Split Conformal Prediction under Data Contamination
  53. African Democracy in the Era of Generative Disinformation: Challenges and Countermeasures against AI-Generated Propaganda
  54. The Language of Weather: Social Media Reactions to Weather Accounting for Climatic and Linguistic Baselines
  55. Feasibility Study on Active Learning of Smart Surrogates for Scientific Simulations
  56. Towards Adaptive Pseudo-label Learning for Semi-Supervised Temporal Action Localization
  57. Why should we ever automate moral decision making?
  58. Generalization Analysis of Online Stochastic Gradient Descent for Overparameterized Two-Layer Neural Networks
  59. How to Leverage Predictive Uncertainty Estimates for Reducing Catastrophic Forgetting in Online Continual Learning
  60. A Proposed S.C.O.R.E. Evaluation Framework for Large Language Models : Safety, Consensus, Objectivity, Reproducibility and Explainability
  61. A Coding-Theoretic Analysis of Hyperspherical Prototypical Learning Geometry
  62. Mitigating Backdoor Attacks using Activation-Guided Model Editing
  63. Boosting Medical Image Synthesis via Registration-guided Consistency and Disentanglement Learning
  64. The Selective G-Bispectrum and its Inversion: Applications to G-Invariant Networks
  65. Explaining Graph Neural Networks for Node Similarity on Graphs
  66. MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations
  67. Few-Shot Domain Adaptive Object Detection for Microscopic Images
  68. A Review of the Challenges with Massive Web-mined Corpora Used in Large Language Models Pre-Training
  69. Synthetic to Authentic: Transferring Realism to 3D Face Renderings for Boosting Face Recognition
  70. Psycho-linguistic Experiment on Universal Semantic Components of Verbal Humor: System Description and Annotation
  71. Satellite Image Time Series Semantic Change Detection: Novel Architecture and Analysis of Domain Shift
  72. Randomness Helps Rigor: A Probabilistic Learning Rate Scheduler Bridging Theory and Deep Learning Practice
  73. Physics-Informed Geometric Operators to Support Surrogate, Dimension Reduction and Generative Models for Engineering Design
  74. The Computational Learning of Construction Grammars: State of the Art and Prospective Roadmap
  75. Early Explorations of Lightweight Models for Wound Segmentation on Mobile Devices
  76. H-FCBFormer Hierarchical Fully Convolutional Branch Transformer for Occlusal Contact Segmentation with Articulating Paper
  77. iiANET: Inception Inspired Attention Hybrid Network for efficient Long-Range Dependency
  78. Targeted Augmented Data for Audio Deepfake Detection
  79. Learning treatment effects while treating those in need
  80. Let Occ Flow: Self-Supervised 3D Occupancy Flow Prediction
  81. TIP: Tabular-Image Pre-training for Multimodal Classification with Incomplete Data
  82. InstructLayout: Instruction-Driven 2D and 3D Layout Synthesis with Semantic Graph Prior
  83. Resource Allocation for Twin Maintenance and Computing Task Processing in Digital Twin Vehicular Edge Computing Network
  84. HebDB: a Weakly Supervised Dataset for Hebrew Speech Processing
  85. On Leakage of Code Generation Evaluation Datasets
  86. Trainable Highly-expressive Activation Functions
  87. FLAIR: Feeding via Long-horizon AcquIsition of Realistic dishes
  88. Instrumentation and Analysis of Native ML Pipelines via Logical Query Plans
  89. Real World Federated Learning with a Knowledge Distilled Transformer for Cardiac CT Imaging
  90. Arabic Automatic Story Generation with Large Language Models
  91. Disentangling Masked Autoencoders for Unsupervised Domain Generalization
  92. Swiss DINO: Efficient and Versatile Vision Framework for On-device Personal Object Search
  93. KaiRacters: Character-level-based Writer Retrieval for Greek Papyri
  94. Neural Localizer Fields for Continuous 3D Human Pose and Shape Estimation
  95. Beyond Benchmarking: A New Paradigm for Evaluation and Assessment of Large Language Models
  96. How Aligned are Different Alignment Metrics?
  97. MLRS-PDS: A Meta-learning recommendation of dynamic ensemble selection pipelines
  98. Incremental Multiview Point Cloud Registration with Two-stage Candidate Retrieval
  99. SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning
  100. CHILLI: A data context-aware perturbation method for XAI
  101. IRSAM: Advancing Segment Anything Model for Infrared Small Target Detection
  102. Multi-modal Crowd Counting via a Broker Modality
  103. Parameter Efficient Fine Tuning for Multi-scanner PET to PET Reconstruction
  104. Invisible Optical Adversarial Stripes on Traffic Sign against Autonomous Vehicles
  105. Generative AI for RF Sensing in IoT systems
  106. Pan-cancer Histopathology WSI Pre-training with Position-aware Masked Autoencoder
  107. Inter and Intra Prior Learning-based Hyperspectral Image Reconstruction Using Snapshot SWIR Metasurface
  108. Beyond Fixed Length: Bucket Pre-training is All You Need
  109. Panoptic Segmentation of Galactic Structures in LSB Images
  110. Deformable-Heatmap-Segmentation for Automobile Visual Perception
  111. Fine-Grained Classification for Poisonous Fungi Identification with Transfer Learning
  112. FUNAvg: Federated Uncertainty Weighted Averaging for Datasets with Diverse Labels
  113. Review-LLM: Harnessing Large Language Models for Personalized Review Generation
  114. Rigorous Probabilistic Guarantees for Robust Counterfactual Explanations
  115. How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval?
  116. EA-VTR: Event-Aware Video-Text Retrieval
  117. Rectifier: Code Translation with Corrector via LLMs
  118. Rethinking Few-shot Class-incremental Learning: Learning from Yourself
  119. Exploring the Untouched Sweeps for Conflict-Aware 3D Segmentation Pretraining
  120. Video-to-Audio Generation with Hidden Alignment
  121. MAN TruckScenes: A multimodal dataset for autonomous trucking in diverse conditions
  122. Drantal-NeRF: Diffusion-Based Restoration for Anti-aliasing Neural Radiance Field
  123. Machine Learning Assisted Design of mmWave Wireless Transceiver Circuits
  124. GLBench: A Comprehensive Benchmark for Graph with Large Language Models
  125. Missile detection and destruction robot using detection algorithm
  126. Using Low-Discrepancy Points for Data Compression in Machine Learning: An Experimental Comparison
  127. Secondary Structure-Guided Novel Protein Sequence Generation with Latent Graph Diffusion
  128. HAFormer: Unleashing the Power of Hierarchy-Aware Features for Lightweight Semantic Segmentation
  129. Unified Embedding Alignment for Open-Vocabulary Video Instance Segmentation
  130. Out-of-distribution generalisation in spoken language understanding
  131. Federated PCA on Grassmann Manifold for IoT Anomaly Detection
  132. KpopMT: Translation Dataset with Terminology for Kpop Fandom
  133. Pseudo-RIS: Distinctive Pseudo-supervision Generation for Referring Image Segmentation
  134. Mutual Information calculation on different appearances
  135. Weakly-supervised Medical Image Segmentation with Gaze Annotations
  136. ActionVOS: Actions as Prompts for Video Object Segmentation
  137. Standard compliant video coding using low complexity, switchable neural wrappers
  138. Greit-HRNet: Grouped Lightweight High-Resolution Network for Human Pose Estimation
  139. Deep(er) Reconstruction of Imaging Cherenkov Detectors with Swin Transformers and Normalizing Flow Models
  140. Stable Weight Updating: A Key to Reliable PDE Solutions Using Deep Learning
  141. DuInNet: Dual-Modality Feature Interaction for Point Cloud Completion
  142. Automatic Extraction of Disease Risk Factors from Medical Publications
  143. Multi-modal MRI Translation via Evidential Regression and Distribution Calibration
  144. LokiLM: Technical Report
  145. Semi-Supervised Model-Free Bayesian State Estimation from Compressed Measurements
  146. High-Resolution Cloud Detection Network
  147. Characterizing Encrypted Application Traffic through Cellular Radio Interface Protocol
  148. Towards a text-based quantitative and explainable histopathology image analysis
  149. SGM-PINN: Sampling Graphical Models for Faster Training of Physics-Informed Neural Networks
  150. A polarity-aware multi-relational model for the signed interaction prediction in biological networks
  151. Video In-context Learning: Autoregressive Transformers are Zero-Shot Video Imitators
  152. High-Precision, Fair University Course Scheduling During a Pandemic
  153. Unity in Diversity: Multi-expert Knowledge Confrontation and Collaboration for Generalizable Vehicle Re-identification
  154. Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement
  155. MNeRV: A Multilayer Neural Representation for Videos
  156. INSIGHT: Universal Neural Simulator for Analog Circuits Harnessing Autoregressive Transformers
  157. Micro-Expression Recognition by Motion Feature Extraction based on Pre-training
  158. A Guide To Effectively Leveraging LLMs for Low-Resource Text Summarization: Data Augmentation and Semi-supervised Approaches
  159. FALFormer: Feature-aware Landmarks self-attention for Whole-slide Image Classification
  160. Towards Complete Causal Explanation with Expert Knowledge
  161. Learning with Instance-Dependent Noisy Labels by Anchor Hallucination and Hard Sample Label Correction
  162. Interpretable Differential Diagnosis with Dual-Inference Large Language Models
  163. Probability of Differentiation Reveals Brittleness of Homogeneity Bias in GPT-4
  164. CATP: Context-Aware Trajectory Prediction with Competition Symbiosis
  165. HiLight: Technical Report on the Motern AI Video Language Model
  166. Event-Aided Time-to-Collision Estimation for Autonomous Driving
  167. Benchmarking LLMs for Environmental Review and Permitting
  168. Flow to Rare Events: An Application of Normalizing Flow in Temporal Importance Sampling for Automated Vehicle Validation
  169. ETM: Modern Insights into Perspective on Text-to-SQL Evaluation in the Age of Large Language Models
  170. ViTime: Foundation Model for Time Series Forecasting Powered by Vision Intelligence
  171. Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken
  172. Inference Performance Optimization for Large Language Models on CPUs
  173. Pairwise Distance Distillation for Unsupervised Real-World Image Super-Resolution
  174. Large Language Model-Augmented Auto-Delineation of Treatment Target Volume in Radiation Therapy
  175. Analyzing Machine Learning Performance in a Hybrid Quantum Computing and HPC Environment
  176. Causal Discovery in Semi-Stationary Time Series
  177. Causal Discovery-Driven Change Point Detection in Time Series
  178. Deformable Feature Alignment and Refinement for Moving Infrared Dim-small Target Detection
  179. MIGS: Multi-Identity Gaussian Splatting via Tensor Decomposition
  180. Towards a theory of learning dynamics in deep state space models