mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 8 Mar 2024

253 papers

  1. EdgeLeakage: Membership Information Leakage in Distributed Edge Intelligence SystemsLLM safety and security → Membership inference attacks
  2. SF-MMCN: Low-Power Sever Flow Multi-Mode Diffusion Model AcceleratorDiffusion models → Diffusion foundations and sampling
  3. Alignment Studio: Aligning Large Language Models to Particular Contextual RegulationsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  4. Text-to-Audio Generation Synchronized with VideosDiffusion models → Audio, speech and music
  5. Shielded Deep Reinforcement Learning for Complex Spacecraft TaskingDeep reinforcement learning methods → Safe and constrained RL
  6. PipeRAG: Fast Retrieval-Augmented Generation via Algorithm-System Co-designRetrieval-augmented generation → RAG pipeline design and evaluation
  7. Can Large Language Models Play Games? A Case Study of A Self-Play ApproachSynthetic data and self-improvement for LLMs → Self-play RL for reasoning
  8. Unfamiliar Finetuning Examples Control How Language Models HallucinateLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  9. GEAR: An Efficient KV Cache Compression Recipe for Near-Lossless Generative Inference of LLMEfficient LLM inference and serving → KV cache optimization
  10. Bias-Augmented Consistency Training Reduces Biased Reasoning in Chain-of-ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
  11. Attention-guided Feature Distillation for Semantic SegmentationKnowledge distillation → Detection and dense prediction distillation
  12. Safe Execution of Learned Orientation Skills with Conic Control Barrier FunctionsOffline RL and imitation learning from data → Robot learning from demonstration
  13. VideoElevator: Elevating Video Generation Quality with Versatile Text-to-Image Diffusion ModelsDiffusion models → Video generation
  14. Switching the Loss Reduces the Cost in Batch (Offline) Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  15. Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy GradientDeep reinforcement learning methods → RL for games and combinatorial optimization
  16. VLM-PL: Advanced Pseudo Labeling Approach for Class Incremental Object Detection via Vision-Language ModelMultimodal LLMs / vision-language models → Driving VLMs and open-vocabulary detection
  17. DiffSF: Diffusion Models for Scene Flow EstimationDiffusion models → 3D, point cloud and scene generation
  18. Fine-tuning a Multiple Instance Learning Feature Extractor with Masked Context Modelling and Knowledge DistillationKnowledge distillation → Distillation for medical imaging
  19. RAT: Retrieval Augmented Thoughts Elicit Context-Aware Reasoning in Long-Horizon GenerationLLM reasoning → Knowledge- and tool-augmented reasoning +1
  20. Tapilot-Crossing: Benchmarking and Evolving LLMs Towards Interactive Data Analysis AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
  21. Debiasing Multimodal Large Language Models via Penalization of Language PriorsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  22. LightM-UNet: Mamba Assists in Lightweight UNet for Medical Image SegmentationState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  23. Noise Level Adaptive Diffusion Model for Robust Reconstruction of Accelerated MRIDiffusion models → Medical imaging and segmentation
  24. Towards Effective Usage of Human-Centric Priors in Diffusion Models for Text-based Human Image GenerationDiffusion models → Image generation, text-to-image and editing
  25. Denoising Autoregressive Representation LearningDiffusion models → Image generation, text-to-image and editing
  26. Overcoming Reward Overoptimization via Adversarial Policy Optimization with Lightweight Uncertainty EstimationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  27. DiffuLT: How to Make Diffusion Model Useful for Long-tail RecognitionDiffusion models → Diffusion foundations and sampling
  28. MamMIL: Multiple Instance Learning for Whole Slide Images with State Space ModelsState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  29. Med3DInsight: Enhancing 3D Medical Image Understanding with 2D Multi-Modal Large Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
  30. Improving Diffusion Models for Authentic Virtual Try-on in the WildDiffusion models → 3D, point cloud and scene generation
  31. ELLA: Equip Diffusion Models with LLM for Enhanced Semantic AlignmentDiffusion models → Image generation, text-to-image and editing
  32. Sora as a World Model? A Complete Survey on Text-to-Video GenerationWorld models → Video-generation world models and simulators
  33. CogView3: Finer and Faster Text-to-Image Generation via Relay DiffusionDiffusion models → Image generation, text-to-image and editing
  34. RLPeri: Accelerating Visual Perimetry Test with Reinforcement Learning and Convolutional Feature ExtractionDeep reinforcement learning methods → RL training of language and agent models
  35. Simulating Battery-Powered TinyML Systems Optimised using Reinforcement Learning in Image-Based Anomaly DetectionDeep reinforcement learning methods → RL for energy, networks and operations
  36. Face2Diffusion for Fast and Editable Face PersonalizationDiffusion models → Image generation, text-to-image and editing
  37. Spectrum Translation for Refinement of Image Generation (STIG) Based on Contrastive Learning and Spectral Filter ProfileDiffusion models → Diffusion foundations and sampling
  38. Improving Diffusion-Based Generative Models via Approximated Optimal TransportDiffusion models → Diffusion foundations and sampling
  39. Reset & Distill: A Recipe for Overcoming Negative Transfer in Continual Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  40. Aligning Large Language Models for Controllable RecommendationsLLM alignment / RLHF / preference optimisation → Preference alignment for recommenders and RAG
  41. RadarDistill: Boosting Radar-based Object Detection Performance via Knowledge Distillation from LiDAR FeaturesKnowledge distillation → Detection and dense prediction distillation
  42. Stealing Stable Diffusion Prior for Robust Monocular Depth EstimationDiffusion models → 3D, point cloud and scene generation
  43. XPSR: Cross-modal Priors for Diffusion-based Image Super-ResolutionDiffusion models → Inverse problems and image restoration
  44. Defending Against Unforeseen Failure Modes with Latent Adversarial TrainingLLM safety and security → Prompt injection and agent security
  45. BjTT: A Large-scale Multimodal Dataset for Traffic PredictionDiffusion models → Diffusion and flow policies for robotics
  46. InstructGIE: Towards Generalizable Image EditingDiffusion models → Image generation, text-to-image and editing
  47. RFWave: Multi-band Rectified Flow for Audio Waveform ReconstructionDiffusion models → Audio, speech and music
  48. Provable Pluralistic Alignment: Multi-Party RLHF under Offline Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  49. DiffChat: Learning to Chat with Text-to-Image Synthesis Models for Interactive Image CreationDiffusion models → Image generation, text-to-image and editing
  50. Embracing Large Language and Multimodal Models for Prosthetic TechnologiesMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  51. StereoDiffusion: Training-Free Stereo Image Generation Using Latent Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  52. IsolateGPT: An Execution Isolation Architecture for LLM-Based Agentic SystemsLLM agents and tool use → Agent threats, guardrails and governance
  53. Credit Card Fraud Detection in the Nigerian Financial Sector: A Comparison of Unsupervised TensorFlow-Based Anomaly Detection Techniques, Autoencoders and PCA Algorithm
  54. Neural Network-based Two-Dimensional Filtering for OTFS Symbol Detection
  55. Employing Universal Voting Schemes for Improved Visual Place Recognition Performance
  56. T'ecnicas Quantum-Inspired en Tensor Networks para Contextos Industriales
  57. The Blind Normalized Stein Variational Gradient Descent-Based Detection for Intelligent Random Access in Cellular IoT
  58. Enhancing Automatic Modulation Recognition for IoT Applications Using Transformers
  59. Fuzzy hyperparameters update in a second order optimization
  60. Linearly Constrained Weights: Reducing Activation Shift for Faster Training of Neural Networks
  61. A Novel Nuanced Conversation Evaluation Framework for Large Language Models in Mental Health
  62. Concept-aware Data Construction Improves In-context Learning of Language Models
  63. Generator-Guided Crowd Reaction Assessment
  64. Speech Robust Bench: A Robustness Benchmark For Speech Recognition
  65. Multi-Agent Reinforcement Learning with a Hierarchy of Reward Machines
  66. Conservative DDPG -- Pessimistic RL without Ensemble
  67. Augmentations vs Algorithms: What Works in Self-Supervised Learning
  68. A dataset and benchmark for hospital course summarization with adapted large language models
  69. A Framework for Effective AI Recommendations in Cyber-Physical-Human Systems
  70. tsGT: Stochastic Time Series Modeling With Transformer
  71. Not just Birds and Cars: Generic, Scalable and Explainable Models for Professional Visual Recognition
  72. Spatial-aware Transformer-GRU Framework for Enhanced Glaucoma Diagnosis from 3D OCT Imaging
  73. Are Large Language Models Aligned with People's Social Intuitions for Human-Robot Interactions?
  74. DADIT: A Dataset for Demographic Classification of Italian Twitter Users and a Comparison of Prediction Methods
  75. SeeGULL Multilingual: a Dataset of Geo-Culturally Situated Stereotypes
  76. Micro-Fracture Detection in Photovoltaic Cells with Hardware-Constrained Devices and Computer Vision
  77. Semantic Feature Learning for Universal Unsupervised Cross-Domain Retrieval
  78. Scene Graph Aided Radiology Report Generation
  79. Efficient Public Health Intervention Planning Using Decomposition-Based Decision-Focused Learning
  80. DP-TabICL: In-Context Learning with Differentially Private Tabular Data
  81. How Well Do Multi-modal LLMs Interpret CT Scans? An Auto-Evaluation Framework for Analyses
  82. Spectral Clustering of Categorical and Mixed-type Data via Extra Graph Nodes
  83. Prepared for the Worst: A Learning-Based Adversarial Attack for Resilience Analysis of the ICP Algorithm
  84. Decoupling Degradations with Recurrent Network for Video Restoration in Under-Display Camera
  85. Audio-Synchronized Visual Animation
  86. Feature CAM: Interpretable AI in Image Classification
  87. "What is Different Between These Datasets?" A Framework for Explaining Data Distribution Shifts
  88. Geometric Neural Network based on Phase Space for BCI-EEG decoding
  89. A Feature-based Generalizable Prediction Model for Both Perceptual and Abstract Reasoning
  90. Generating Hard-Negative Out-of-Scope Data with ChatGPT for Intent Classification
  91. Tuning-Free Accountable Intervention for LLM Deployment -- A Metacognitive Approach
  92. OmniJet-α: The first cross-task foundation model for particle physics
  93. Evidence, Definitions and Algorithms regarding the Existence of Cohesive-Convergence Groups in Neural Network Optimization
  94. A Concept-based Interpretable Model for the Diagnosis of Choroid Neoplasias using Multimodal Data
  95. Extracting Protein-Protein Interactions (PPIs) from Biomedical Literature using Attention-based Relational Context Information
  96. Select High-Level Features: Efficient Experts from a Hierarchical Classification Network
  97. Tell, Don't Show!: Language Guidance Eases Transfer Across Domains in Images and Videos
  98. Bayesian Preference Elicitation with Language Models
  99. Twin: Tuning Learning Rate and Weight Decay of Deep Homogeneous Classifiers without Validation
  100. Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context
All 253
  1. Computational-Statistical Gaps in Gaussian Single-Index Models
  2. DeepSeek-VL: Towards Real-World Vision-Language Understanding
  3. Beyond Finite Data: Towards Data-free Out-of-distribution Generalization via Extrapolation
  4. Probabilistic Image-Driven Traffic Modeling via Remote Sensing
  5. Authorship Attribution in Bangla Literature (AABL) via Transfer Learning using ULMFiT
  6. To Err Is Human, but Llamas Can Learn It Too
  7. Poly-View Contrastive Learning
  8. JointMotion: Joint Self-Supervision for Joint Motion Prediction
  9. FFSTC: Fongbe to French Speech Translation Corpus
  10. Will GPT-4 Run DOOM?
  11. Grasping Trajectory Optimization with Point Clouds
  12. Algorithm-Hardware Co-Design of Distribution-Aware Logarithmic-Posit Encodings for Efficient DNN Inference
  13. The R2D2 deep neural network series paradigm for fast precision imaging in radio astronomy
  14. An Improved Algorithm for Learning Drifting Discrete Distributions
  15. Bayesian Hierarchical Probabilistic Forecasting of Intraday Electricity Prices
  16. Is Cosine-Similarity of Embeddings Really About Similarity?
  17. OmniCount: Multi-label Object Counting with Semantic-Geometric Priors
  18. Cost-Performance Optimization for Processing Low-Resource Language Tasks Using Commercial LLMs
  19. Part-aware Prompted Segment Anything Model for Adaptive Segmentation
  20. An Adaptive Dimension Reduction Estimation Method for High-dimensional Bayesian Optimization
  21. EVD4UAV: An Altitude-Sensitive Benchmark to Evade Vehicle Detection in UAV
  22. Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery
  23. SIRST-5K: Exploring Massive Negatives Synthesis with Self-supervised Learning for Robust Infrared Small Target Detection
  24. FedFMS: Exploring Federated Foundation Models for Medical Image Segmentation
  25. Algorithmic Identification of Essential Exogenous Nodes for Causal Sufficiency in Brain Networks
  26. Considering Nonstationary within Multivariate Time Series with Variational Hierarchical Transformer for Forecasting
  27. DualBEV: Unifying Dual View Transformation with Probabilistic Correspondences
  28. HistGen: Histopathology Report Generation via Local-Global Feature Encoding and Cross-modal Context Interaction
  29. Recovery Guarantees of Unsupervised Neural Networks for Inverse Problems trained with Gradient Descent
  30. A Deep Learning Method for Classification of Biophilic Artworks
  31. Generalized Correspondence Matching via Flexible Hierarchical Refinement and Patch Descriptor Distillation
  32. A Data Augmentation Pipeline to Generate Synthetic Labeled Datasets of 3D Echocardiography Images using a GAN
  33. Exploring Robust Features for Few-Shot Object Detection in Satellite Imagery
  34. Spectrogram-Based Detection of Auto-Tuned Vocals in Music Recordings
  35. Self-Supervised Multiple Instance Learning for Acute Myeloid Leukemia Classification
  36. Frequency-Adaptive Dilated Convolution for Semantic Segmentation
  37. Exploring the Links between the Fundamental Lemma and Kernel Regression
  38. The Impact of Quantization on the Robustness of Transformer-based Text Classifiers
  39. Variational Inference of Parameters in Opinion Dynamics Models
  40. Hybridized Convolutional Neural Networks and Long Short-Term Memory for Improved Alzheimer's Disease Diagnosis from MRI Scans
  41. Fr'echet Denoised Distance: Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder
  42. Multiple Instance Learning with random sampling for Whole Slide Image Classification
  43. Federated Learning Method for Preserving Privacy in Face Recognition System
  44. Embedded Deployment of Semantic Segmentation in Medicine through Low-Resolution Inputs
  45. Explaining Pre-Trained Language Models with Attribution Scores: An Analysis in Low-Resource Settings
  46. WatChat: Explaining perplexing programs by debugging mental models
  47. Consecutive Batch Model Editing with HooK Layers
  48. OccFusion: Depth Estimation Free Multi-sensor Fusion for 3D Occupancy Prediction
  49. ChatASU: Evoking LLM's Reflexion to Truly Understand Aspect Sentiment in Dialogues
  50. Looking Ahead to Avoid Being Late: Solving Hard-Constrained Traveling Salesman Problem
  51. ACLSum: A New Dataset for Aspect-based Summarization of Scientific Publications
  52. Unity by Diversity: Improved Representation Learning in Multimodal VAEs
  53. PEEB: Part-based Image Classifiers with an Explainable and Editable Language Bottleneck
  54. Leveraging Continuous Time to Understand Momentum When Training Diagonal Linear Networks
  55. Foundational propositions of hesitant fuzzy soft β-covering approximation spaces
  56. LLM4Decompile: Decompiling Binary Code with Large Language Models
  57. A Generative Approach to Quasi-Random Sampling from Copulas via Space-Filling Designs
  58. ContrastDiagnosis: Enhancing Interpretability in Lung Nodule Diagnosis Using Contrastive Learning
  59. Deep Prompt Multi-task Network for Abuse Language Detection
  60. ERBench: An Entity-Relationship based Automatically Verifiable Hallucination Benchmark for Large Language Models
  61. MMoE: Robust Spoiler Detection with Multi-modal Information and Domain-aware Mixture-of-Experts
  62. Cross-Modal and Uni-Modal Soft-Label Alignment for Image-Text Retrieval
  63. Towards generalization of drug response prediction to single cells and patients utilizing importance-aware multi-source domain transfer learning
  64. Cross-lingual Transfer or Machine Translation? On Data Augmentation for Monolingual Semantic Textual Similarity
  65. DuDoUniNeXt: Dual-domain unified hybrid model for single and multi-contrast undersampled MRI reconstruction
  66. On Representing Electronic Wave Functions with Sign Equivariant Neural Networks
  67. Hide in Thicket: Generating Imperceptible and Rational Adversarial Perturbations on 3D Point Clouds
  68. Fairness-Aware Interpretable Modeling (FAIM) for Trustworthy Machine Learning in Healthcare
  69. Benchmarking Micro-action Recognition: Dataset, Methods, and Applications
  70. Tracking Meets LoRA: Faster Training, Larger Model, Stronger Performance
  71. Developing Federated Time-to-Event Scores Using Heterogeneous Real-World Survival Data
  72. Synthetic Privileged Information Enhances Medical Image Representation Learning
  73. 3D Face Reconstruction Using A Spectral-Based Graph Convolution Encoder
  74. Harnessing Multi-Role Capabilities of Large Language Models for Open-Domain Question Answering
  75. SocialPET: Socially Informed Pattern Exploiting Training for Few-Shot Stance Detection in Social Media
  76. Improving the Successful Robotic Grasp Detection Using Convolutional Neural Networks
  77. Overcoming Data Inequality across Domains with Semi-Supervised Domain Generalization
  78. Tracing the Roots of Facts in Multilingual Language Models: Independent, Shared, and Transferred Knowledge
  79. CommitBench: A Benchmark for Commit Message Generation
  80. ROUGE-K: Do Your Summaries Have Keywords?
  81. Personalized Audiobook Recommendations at Spotify Through Graph Neural Networks
  82. Adversarial Sparse Teacher: Defense Against Distillation-Based Model Stealing Attacks Using Adversarial Examples
  83. Continual Learning and Catastrophic Forgetting
  84. VTruST: Controllable value function based subset selection for Data-Centric Trustworthy AI
  85. Learning Expressive And Generalizable Motion Features For Face Forgery Detection
  86. Enhancing Multimodal Unified Representations for Cross Modal Generalization
  87. Synthetic data generation for system identification: leveraging knowledge transfer from similar systems
  88. LVIC: Multi-modality segmentation by Lifting Visual Info as Cue
  89. Adaptive Split Learning over Energy-Constrained Wireless Edge Networks
  90. LanePtrNet: Revisiting Lane Detection as Point Voting and Grouping on Curves
  91. GSEdit: Efficient Text-Guided Editing of 3D Objects via Gaussian Splatting
  92. Towards a Psychology of Machines: Large Language Models Predict Human Memory
  93. Inverse Design of Photonic Crystal Surface Emitting Lasers is a Sequence Modeling Problem
  94. Motion-Guided Dual-Camera Tracker for Endoscope Tracking and Motion Analysis in a Mechanical Gastric Simulator
  95. Greedy feature selection: Classifier-dependent feature selection via greedy methods
  96. Follow-the-Perturbed-Leader with Fr'echet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds
  97. RIS-empowered Topology Control for Distributed Learning in Urban Air Mobility
  98. ChatUIE: Exploring Chat-based Unified Information Extraction using Large Language Models
  99. From Chain to Tree: Refining Chain-like Rules into Tree-like Rules on Knowledge Graphs
  100. Unraveling the Molecular Magic: AI Insights on the Formation of Extraordinarily Stretchable Hydrogels
  101. Evaluating Text-to-Image Generative Models: An Empirical Study on Human Image Synthesis
  102. CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model
  103. ECToNAS: Evolutionary Cross-Topology Neural Architecture Search
  104. Multi-Tower Multi-Interest Recommendation with User Representation Repel
  105. Estimation of Electronic Band Gap Energy From Material Properties Using Machine Learning
  106. Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning
  107. APPLE: Adversarial Privacy-aware Perturbations on Latent Embedding for Unfairness Mitigation
  108. From Registration Uncertainty to Segmentation Uncertainty
  109. Efficient Data Collection for Robotic Manipulation via Compositional Generalization
  110. A Task-Driven Multi-UAV Coalition Formation Mechanism
  111. Learning to Rematch Mismatched Pairs for Robust Cross-Modal Retrieval
  112. How Culture Shapes What People Want From AI
  113. Enhancing Texture Generation with High-Fidelity Using Advanced Texture Priors
  114. Rule-driven News Captioning
  115. Exploring the Adversarial Frontier: Quantifying Robustness via Adversarial Hypervolume
  116. SplattingAvatar: Realistic Real-Time Human Avatars with Mesh-Embedded Gaussian Splatting
  117. UFORecon: Generalizable Sparse-View Surface Reconstruction from Arbitrary and UnFavOrable Sets
  118. Benchmarking Large Language Models for Molecule Prediction Tasks
  119. Can we obtain significant success in RST discourse parsing by using Large Language Models?
  120. Unsupervised Graph Neural Architecture Search with Disentangled Self-supervision
  121. Agile Multi-Source-Free Domain Adaptation
  122. MUC: Mixture of Uncalibrated Cameras for Robust 3D Human Body Reconstruction
  123. A Sinkhorn-type Algorithm for Constrained Optimal Transport
  124. PrimeComposer: Faster Progressively Combined Diffusion for Image Composition with Attention Steering
  125. DyRoNet: Dynamic Routing and Low-Rank Adapters for Autonomous Driving Streaming Perception
  126. REPS: Reconstruction-based Point Cloud Sampling
  127. Are Human Conversations Special? A Large Language Model Perspective
  128. CRM: Single Image to 3D Textured Mesh with Convolutional Reconstruction Model
  129. Quantifying Manifolds: Do the manifolds learned by Generative Adversarial Networks converge to the real data manifold
  130. Spectral Invariant Learning for Dynamic Graphs under Distribution Shifts
  131. Debiased Multimodal Understanding for Human Language Sequences
  132. A Probabilistic Hadamard U-Net for MRI Bias Field Correction
  133. Towards Multimodal Sentiment Analysis Debiasing via Bias Purification
  134. Beyond MOT: Semantic Multi-Object Tracking
  135. Is this the real life? Is this just fantasy? The Misleading Success of Simulating Social Interactions With LLMs
  136. ERASOR++: Height Coding Plus Egocentric Ratio Based Dynamic Object Removal for Static Point Cloud Mapping
  137. DiffClass: Diffusion-Based Class Incremental Learning
  138. Simple Multigraph Convolution Networks
  139. DITTO: Dual and Integrated Latent Topologies for Implicit 3D Reconstruction
  140. Can't Remember Details in Long Documents? You Need Some R&R
  141. Medical Speech Symptoms Classification via Disentangled Representation
  142. Robust automated calcification meshing for biomechanical cardiac digital twins
  143. PromptIQA: Boosting the Performance and Generalization for No-Reference Image Quality Assessment via Prompts
  144. Jet Discrimination with Quantum Complete Graph Neural Network
  145. Stacking as Accelerated Gradient Descent
  146. Node Centrality Approximation For Large Networks Based On Inductive Graph Neural Networks
  147. Deep Backward and Galerkin Methods for the Finite State Master Equation
  148. Robust Surgical Tool Tracking with Pixel-based Probabilities for Projected Geometric Primitives
  149. PIPsUS: Self-Supervised Point Tracking in Ultrasound
  150. ActFormer: Scalable Collaborative Perception via Active Queries
  151. Tell me the truth: A system to measure the trustworthiness of Large Language Models
  152. An In-depth Evaluation of Large Language Models in Sentence Simplification with Error-based Human Assessment
  153. C2P-GCN: Cell-to-Patch Graph Convolutional Network for Colorectal Cancer Grading