mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 9 Jul 2024

270 papers

  1. Vision Language Model-Empowered Contract Theory for AIGC Task Allocation in TeleoperationMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  2. The Quantum Imitation Game: Reverse Engineering of Quantum Machine Learning ModelsLLM safety and security → Machine unlearning
  3. Using Galaxy Evolution as Source of Physics-Based Ground Truth for Generative ModelsDiffusion models → Inverse problems and image restoration
  4. ColorPeel: Color Prompt Learning with Diffusion Models via Color and Shape DisentanglementDiffusion models → Image generation, text-to-image and editing
  5. CamFreeDiff: Camera-free Image to Panorama Generation with Diffusion ModelDiffusion models → 3D, point cloud and scene generation
  6. Safe and Reliable Training of Learning-Based Aerospace ControllersDeep reinforcement learning methods → Safe and constrained RL
  7. Hypothetical Minds: Scaffolding Theory of Mind for Multi-Agent Tasks with Large Language ModelsLLM agents and tool use → General LLM agent frameworks and benchmarks
  8. Can Learned Optimization Make Reinforcement Learning Less Difficult?Deep reinforcement learning methods → Deep RL algorithms and representations
  9. ConceptExpress: Harnessing Diffusion Models for Single-image Unsupervised Concept ExtractionDiffusion models → Image generation, text-to-image and editing
  10. Internet of Agents: Weaving a Web of Heterogeneous Agents for Collaborative IntelligenceLLM agents and tool use → General LLM agent frameworks and benchmarks
  11. Multimodal Self-Instruct: Synthetic Abstract Image and Visual Reasoning Instruction Using Language ModelLLM reasoning → Multimodal reasoning +2
  12. Exploring Scalability of Self-Training for Open-Vocabulary Temporal Action LocalizationMultimodal LLMs / vision-language models → Video understanding with MLLMs +1
  13. Etalon: Holistic Performance Evaluation Framework for LLM Inference SystemsEfficient LLM inference and serving → Serving systems and request scheduling
  14. PEER: Expertizing Domain-Specific Tasks with a Multi-Agent Framework and Tuning MethodsRetrieval-augmented generation → Agentic RAG, agents and memory +1
  15. RodinHD: High-Fidelity 3D Avatar Generation with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  16. HumanRefiner: Benchmarking Abnormal Human Generation and Refining with Coarse-to-fine Pose-Reversible GuidanceDiffusion models → 3D, point cloud and scene generation
  17. A Unified Approach to Multi-task Legged Navigation: Temporal Logic Meets Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  18. Intercepting Unauthorized Aerial Robots in Controlled Airspace Using Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
  19. Chat-Edit-3D: Interactive 3D Scene Editing via Text PromptsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  20. HTD-Mamba: Efficient Hyperspectral Target Detection with Pyramid State Space ModelState-space sequence models (S4, Mamba) → Hyperspectral image analysis with Mamba
  21. Richelieu: Self-Evolving LLM-Based Agents for AI DiplomacyLLM agents and tool use → Reinforcement learning for LLM agents +1
  22. Frequency and Generalisation of Periodic Activation Functions in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  23. A Simple Architecture for Enterprise Large Language Model Applications based on Role based security and Clearance Levels using Retrieval-Augmented Generation or Mixture of ExpertsRetrieval-augmented generation → Privacy and security of RAG +1
  24. Hierarchical Average-Reward Linearly-solvable Markov Decision ProcessesDeep reinforcement learning methods → RL theory and sample complexity
  25. Powerful and Flexible: Personalized Text-to-Image Generation via Reinforcement LearningDiffusion models → Image generation, text-to-image and editing +1
  26. HiLMa-Res: A General Hierarchical Framework via Residual RL for Combining Quadrupedal Locomotion and ManipulationDeep reinforcement learning methods → RL for robot locomotion and manipulation
  27. Vision language models are blind: Failing to translate detailed visual features into wordsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  28. FinCon: A Synthesized LLM Multi-Agent System with Conceptual Verbal Reinforcement for Enhanced Financial Decision MakingLLM agents and tool use → Financial trading and forecasting agents
  29. Exploring the Causality of End-to-End Autonomous DrivingEnd-to-end autonomous driving → End-to-end system architecture
  30. LIONs: An Empirically Optimized Approach to Align Language ModelsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  31. Enhancing Low-Resource NMT with a Multilingual Encoder and Knowledge Distillation: A Case StudyKnowledge distillation → Knowledge distillation for LLMs
  32. Graph Neural Networks and Deep Reinforcement Learning Based Resource Allocation for V2X CommunicationsDeep reinforcement learning methods → RL for energy, networks and operations
  33. VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous DrivingDiffusion models → Diffusion and flow policies for robotics +1
  34. Preference-Guided Reinforcement Learning for Efficient ExplorationDeep reinforcement learning methods → RL training of language and agent models
  35. DiffPhyCon: A Generative Approach to Control Complex Physical SystemsDeep reinforcement learning methods → RL theory and sample complexity
  36. Composable Interventions for Language ModelsLLM safety and security → Machine unlearning
  37. Sketch-Guided Scene Image GenerationDiffusion models → Image generation, text-to-image and editing
  38. MolTRES: Improving Chemical Language Representation Learning for Molecular Property Prediction
  39. Evaluating Human-AI Collaboration: A Review and Methodological Framework
  40. AI Companions Reduce Loneliness
  41. Monitoring Time-Varying Changes of Historic Structures Through Photogrammetry-Driven Digital Twinning
  42. Mobile Edge Intelligence for Large Language Models: A Contemporary Survey
  43. Context-Masked Meta-Prompting for Privacy-Preserving LLM Adaptation in Finance
  44. Predicting 3D Rigid Body Dynamics with Deep Residual Network
  45. A Comprehensive Analysis of Machine Learning Models for Algorithmic Trading of Bitcoin
  46. Quality Diversity for Robot Learning: Limitations and Future Directions
  47. Uncertainty-preserving deep knowledge tracing with state-space models
  48. Media Manipulations in the Coverage of Events of the Ukrainian Revolution of Dignity: Historical, Linguistic, and Psychological Approaches
  49. On selection of centroids of fuzzy clusters for color classification
  50. A Scenario-Oriented Benchmark for Assessing AIOps Algorithms in Microservice Management
  51. FuncEvalGMN: Evaluating Functional Correctness of SQL via Graph Matching Network
  52. Automated Peer Reviewing in Paper SEA: Standardization, Evaluation, and Analysis
  53. AI-AI Bias: large language models favor communications generated by large language models
  54. Large Language Models can impersonate politicians and other public figures
  55. Scaling Retrieval-Based Language Models with a Trillion-Token Datastore
  56. Automated Justification Production for Claim Veracity in Fact Checking: A Survey on Architectures and Approaches
  57. Across-subject ensemble-learning alleviates the need for large samples for fMRI decoding
  58. Integrating Query-aware Segmentation and Cross-Attention for Robust VQA
  59. Knowledge boosting during low-latency inference
  60. Generative AI for Health Technology Assessment: Opportunities, Challenges, and Policy Considerations
  61. Sampling and active learning methods for network reliability estimation using K-terminal spanning tree
  62. Revisiting, Benchmarking and Understanding Unsupervised Graph Domain Adaptation
  63. Covariate Assisted Entity Ranking with Sparse Intrinsic Scores
  64. Commute-Time-Optimised Graphs for GNNs
  65. Source Code Summarization in the Era of Large Language Models
  66. Synthetic Data: Revisiting the Privacy-Utility Trade-off
  67. Enhancing Social Media Personalization: Dynamic User Profile Embeddings and Multimodal Contextual Analysis Using Transformer Models
  68. Solving General Natural-Language-Description Optimization Problems with Large Language Models
  69. Lifestyle-Informed Personalized Blood Biomarker Prediction via Novel Representation Learning
  70. Exploring Camera Encoder Designs for Autonomous Driving Perception
  71. Remastering Divide and Remaster: A Cinematic Audio Source Separation Dataset with Multilingual Support
  72. Dataset Quantization with Active Learning based Adaptive Sampling
  73. Reuse, Don't Retrain: A Recipe for Continued Pretraining of Language Models
  74. Identification of emotions on Twitter during the 2022 electoral process in Colombia
  75. HAMIL-QA: Hierarchical Approach to Multiple Instance Learning for Atrial LGE MRI Quality Assessment
  76. Few-Shot Image Generation by Conditional Relaxing Diffusion Inversion
  77. RotRNN: Modelling Long Sequences with Rotations
  78. Speech After Gender: A Trans-Feminine Perspective on Next Steps for Speech Science and Technology
  79. ConvNLP: Image-based AI Text Detection
  80. SPINEX-Clustering: Similarity-based Predictions with Explainable Neighbors Exploration for Clustering Problems
  81. Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning
  82. Reference-based Controllable Scene Stylization with Gaussian Splatting
  83. Weak baselines and reporting biases lead to overoptimism in machine learning for fluid-related partial differential equations
  84. Barely-Visible Surface Crack Detection for Wind Turbine Sustainability
  85. TrackFormers: In Search of Transformer-Based Particle Tracking for the High-Luminosity LHC Era
  86. Scaling Up Personalized Image Aesthetic Assessment via Task Vector Customization
  87. ItTakesTwo: Leveraging Peer Representations for Semi-supervised LiDAR Semantic Segmentation
  88. Cardinality-Aware Set Prediction and Top-k Classification
  89. Improving Out-of-Distribution Detection by Combining Existing Post-hoc Methods
  90. Neuromimetic metaplasticity for adaptive continual learning
  91. Modularity aided consistent attributed graph clustering via coarsening
  92. FedClust: Tackling Data Heterogeneity in Federated Learning through Weight-Driven Client Clustering
  93. AnyTaskTune: Advanced Domain-Specific Solutions through Task-Fine-Tuning
  94. FBI-LLM: Scaling Up Fully Binarized LLMs from Scratch via Autoregressive Distillation
  95. V-VIPE: Variational View Invariant Pose Embedding
  96. 3D Gaussian Ray Tracing: Fast Tracing of Particle Scenes
  97. Fine-Tuning Attention Modules Only: Enhancing Weight Disentanglement in Task Arithmetic
  98. CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation
  99. Stabilized Proximal-Point Methods for Federated Optimization
  100. Adapting LLMs to Hebrew: Unveiling DictaLM 2.0 with Enhanced Vocabulary and Instruction Capabilities
All 270
  1. MoSt-DSA: Modeling Motion and Structural Interactions for Direct Multi-Frame Interpolation in DSA Images
  2. MADE-for-ASD: A Multi-Atlas Deep Ensemble Network for Diagnosing Autism Spectrum Disorder
  3. Hyperion -- A fast, versatile symbolic Gaussian Belief Propagation framework for Continuous-Time SLAM
  4. Lookback Lens: Detecting and Mitigating Contextual Hallucinations in Large Language Models Using Only Attention Maps
  5. Explainable Differential Privacy-Hyperdimensional Computing for Balancing Privacy and Transparency in Additive Manufacturing Monitoring
  6. Prompting Techniques for Secure Code Generation: A Systematic Investigation
  7. Differentiable Optimization of Similarity Scores Between Models and Brains
  8. CAPformer: Compression-Aware Pre-trained Transformer for Low-Light Image Enhancement
  9. Multicell-Fold: geometric learning in folding multicellular life
  10. A Differentially Private Blockchain-Based Approach for Vertical Federated Learning
  11. Latent Space Imaging
  12. CorMulT: A Semi-supervised Modality Correlation-aware Multimodal Transformer for Sentiment Analysis
  13. Simple and Interpretable Probabilistic Classifiers for Knowledge Graphs
  14. ProtoSAM: One-Shot Medical Image Segmentation With Foundational Models
  15. Hiding Local Manipulations on SAR Images: a Counter-Forensic Attack
  16. Decoding Climate Disagreement: A Graph Neural Network-Based Approach to Understanding Social Media Dynamics
  17. Vision-and-Language Navigation Today and Tomorrow: A Survey in the Era of Foundation Models
  18. Trajectory Data Mining and Trip Travel Time Prediction on Specific Roads
  19. Resolving Sentiment Discrepancy for Multimodal Sentiment Detection via Semantics Completion and Decomposition
  20. Less is More: Efficient Brain-Inspired Learning for Autonomous Driving Trajectory Prediction
  21. Using Large Language Models for Generating Smart Contracts for Health Insurance from Textual Policies
  22. End-To-End Causal Effect Estimation from Unstructured Natural Language Data
  23. Induction Heads as an Essential Mechanism for Pattern Matching in In-context Learning
  24. Explainable AI for Enhancing Efficiency of DL-based Channel Estimation
  25. Empirical analysis of binding precedent efficiency in Brazilian Supreme Court via case classification
  26. Learning to Complement and to Defer to Multiple Users
  27. Changepoint Detection in Highly-Attributed Dynamic Graphs
  28. Robust Neural Information Retrieval: An Adversarial and Out-of-distribution Perspective
  29. Improved Block Merging for 3D Point Cloud Instance Segmentation
  30. Segment-Based Interactive Machine Translation for Pre-trained Models
  31. Category-level Object Detection, Pose Estimation and Reconstruction from Stereo Images
  32. Can virtual staining for high-throughput screening generalize?
  33. Rich Interoperable Metadata for Cultural Heritage Projects at Jagiellonian University
  34. Cloud-based digitization workflow with rich metadata acquisition for cultural heritage objects
  35. Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach
  36. Joint prototype and coefficient prediction for 3D instance segmentation
  37. Listen and Speak Fairly: A Study on Semantic Gender Bias in Speech Integrated Large Language Models
  38. ICLGuard: Controlling In-Context Learning Behavior for Applicability Authorization
  39. RoboCAS: A Benchmark for Robotic Manipulation in Complex Object Arrangement Scenarios
  40. Spanish TrOCR: Leveraging Transfer Learning for Language Adaptation
  41. Self-Recognition in Language Models
  42. Adaptively Robust and Sparse K-means Clustering
  43. Raply: A profanity-mitigated rap generator
  44. Towards Open-World Mobile Manipulation in Homes: Lessons from the Neurips 2023 HomeRobot Open Vocabulary Mobile Manipulation Challenge
  45. Bayesian Federated Learning with Hamiltonian Monte Carlo: Algorithm and Theory
  46. Integrating Ontology Design with the CRISP-DM in the context of Cyber-Physical Systems Maintenance
  47. Who is better at math, Jenny or Jingzhen? Uncovering Stereotypes in Large Language Models
  48. Fine-grained large-scale content recommendations for MSX sellers
  49. Divine LLaMAs: Bias, Stereotypes, Stigmatization, and Emotion Representation of Religion in Large Language Models
  50. Hypergraph based Understanding for Document Semantic Entity Recognition
  51. Learning From Crowdsourced Noisy Labels: A Signal Processing Perspective
  52. Measuring Sustainability Intention of ESG Fund Disclosure using Few-Shot Learning
  53. A Neurosymbolic Approach to Adaptive Feature Extraction in SLAM
  54. A Complete Set of Quadratic Constraints for Repeated ReLU and Generalizations
  55. Aligning Cyber Space with Physical World: A Comprehensive Survey on Embodied AI
  56. Rethinking Image-to-Video Adaptation: An Object-centric Perspective
  57. DRL-AdaPart: DRL-Driven Adaptive STAR-RIS Partitioning for Fair and Efficient Resource Utilization
  58. Distributionally robust risk evaluation with an isotonic constraint
  59. ChatGPT Doesn't Trust Chargers Fans: Guardrail Sensitivity in Context
  60. Beyond Aesthetics: Cultural Competence in Text-to-Image Models
  61. Trust and Resilience in Federated Learning Through Smart Contracts Enabled Decentralized Systems
  62. Window-to-Window BEV Representation Learning for Limited FoV Cross-View Geo-localization
  63. Performance Evaluation of Knowledge Graph Embedding Approaches under Non-adversarial Attacks
  64. TE-SSL: Time and Event-aware Self Supervised Learning for Alzheimer's Disease Progression Analysis
  65. Safe-Embed: Unveiling the Safety-Critical Knowledge of Sentence Encoders
  66. TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-state Multivariate Time-series Data
  67. Dynamic Correlation Learning and Regularization for Multi-Label Confidence Calibration
  68. Event Trojan: Asynchronous Event-based Backdoor Attacks
  69. VRDSynth: Synthesizing Programs for Multilingual Visually Rich Document Information Extraction
  70. Cue Point Estimation using Object Detection
  71. AstroSpy: On detecting Fake Images in Astronomy via Joint Image-Spectral Representations
  72. Historical Review of Variants of Informal Semantics for Logic Programs under Answer Set Semantics: GL'88, GL'91, GK'14, D-V'12
  73. A Hybrid Training-time and Run-time Defense Against Adversarial Attacks in Modulation Classification
  74. Learn and Don't Forget: Adding a New Language to ASR Foundation Models
  75. It Cannot Be Right If It Was Written by AI: On Lawyers' Preferences of Documents Perceived as Authored by an LLM vs a Human
  76. ED-VAE: Entropy Decomposition of ELBO in Variational Autoencoders
  77. Countermeasures Against Adversarial Examples in Radio Signal Classification
  78. CycleSAM: Few-Shot Surgical Scene Segmentation with Cycle- and Scene-Consistent Feature Matching
  79. Towards Accurate Post-Training Quantization of Vision Transformers via Error Reduction
  80. Towards physics-informed neural networks for landslide prediction
  81. Convergence rates for Poisson learning to a Poisson equation with measure data
  82. Fuzzy color model and clustering algorithm for color clustering problem
  83. CoLA: Conditional Dropout and Language-driven Robust Dual-modal Salient Object Detection
  84. Using Pretrained Large Language Model with Prompt Engineering to Answer Biomedical Questions
  85. A BERT-based Empirical Study of Privacy Policies' Compliance with GDPR
  86. A new validity measure for fuzzy c-means clustering
  87. Temporal Convolution Derived Multi-Layered Reservoir Computing
  88. A Generalization Bound for Nearly-Linear Networks
  89. Explicit Modelling of Theory of Mind for Belief Prediction in Nonverbal Social Interactions
  90. Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges
  91. iASiS: Towards Heterogeneous Big Data Analysis for Personalized Medicine
  92. Sustainable techniques to improve Data Quality for training image-based explanatory models for Recommender Systems
  93. LVLM-empowered Multi-modal Representation Learning for Visual Place Recognition
  94. Towards Physics-informed Cyclic Adversarial Multi-PSF Lensless Imaging
  95. Graph-Based Captioning: Enhancing Visual Descriptions by Interconnecting Region Captions
  96. Improving the Transferability of Adversarial Examples by Feature Augmentation
  97. MDP Geometry, Normalization and Reward Balancing Solvers
  98. Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-Label Classification
  99. Self-supervised visual learning from interactions with objects
  100. HERMES: Holographic Equivariant neuRal network model for Mutational Effect and Stability prediction
  101. Consistent Document-Level Relation Extraction via Counterfactuals
  102. PSPU: Enhanced Positive and Unlabeled Learning by Leveraging Pseudo Supervision
  103. Certified Continual Learning for Neural Network Regression
  104. Deep-Motion-Net: GNN-based volumetric organ shape reconstruction from single-view 2D projections
  105. Universal Multi-view Black-box Attack against Object Detectors via Layout Optimization
  106. MRI Volume-Based Robust Brain Age Estimation Using Weight-Shared Spatial Attention in 3D CNNs
  107. Accelerating Online Mapping and Behavior Prediction via Direct BEV Feature Attention
  108. A Predictive Model Based on Transformer with Statistical Feature Embedding in Manufacturing Sensor Dataset
  109. Mixture-of-Modules: Reinventing Transformers as Dynamic Assemblies of Modules
  110. Games played by Exponential Weights Algorithms
  111. CTRL-F: Pairing Convolution with Transformer for Image Classification via Multi-Level Feature Cross-Attention and Representation Learning Fusion
  112. Collaborative Design of AI-Enhanced Learning Activities
  113. TriQXNet: Forecasting Dst Index from Solar Wind Data Using an Interpretable Parallel Classical-Quantum Framework with Uncertainty Quantification
  114. Teacher agency in the age of generative AI: towards a framework of hybrid intelligence for learning design
  115. SoftDedup: an Efficient Data Reweighting Method for Speeding Up Language Model Pre-training
  116. Toward Motion Robustness: A masked attention regularization framework in remote photoplethysmography
  117. An Automatic Quality Metric for Evaluating Simultaneous Interpretation
  118. SEBA: Strong Evaluation of Biometric Anonymizations
  119. Variational Learning ISTA
  120. Entropy Law: The Story Behind Data Compression and LLM Performance
  121. Early Detection of Network Service Degradation: An Intra-Flow Approach
  122. Ensembled Cold-Diffusion Restorations for Unsupervised Anomaly Detection
  123. Variational Zero-shot Multispectral Pansharpening
  124. Masked Video and Body-worn IMU Autoencoder for Egocentric Action Recognition
  125. Reasoning about unpredicted change and explicit time
  126. Mobius: A High Efficient Spatial-Temporal Parallel Training Paradigm for Text-to-Video Generation Task
  127. Implicit Regression in Subspace for High-Sensitivity CEST Imaging
  128. Sparse-DeRF: Deblurred Neural Radiance Fields from Sparse View
  129. AI-based Automatic Segmentation of Prostate on Multi-modality Images: A Review
  130. CEIA: CLIP-Based Event-Image Alignment for Open-World Event-Based Understanding
  131. Iteratively Refined Image Reconstruction with Learned Attentive Regularizers
  132. Tailored Design of Audio-Visual Speech Recognition Models using Branchformers
  133. Integrating Clinical Knowledge into Concept Bottleneck Models
  134. TVR-Ranking: A Dataset for Ranked Video Moment Retrieval with Imprecise Queries
  135. Revolutionizing Battery Disassembly: The Design and Implementation of a Battery Disassembly Autonomous Mobile Manipulator Robot(BEAM-1)
  136. D-MASTER: Mask Annealed Transformer for Unsupervised Domain Adaptation in Breast Cancer Detection from Mammograms
  137. NoisyAG-News: A Benchmark for Addressing Instance-Dependent Noise in Text Classification
  138. Virtual Personas for Language Models via an Anthology of Backstories
  139. Attack GAN (AGAN ): A new Security Evaluation Tool for Perceptual Encryption
  140. Robust and Explainable Framework to Address Data Scarcity in Diagnostic Imaging
  141. Combining Knowledge Graphs and Large Language Models
  142. TCKAN:A Novel Integrated Network Model for Predicting Mortality Risk in Sepsis Patients
  143. DLOVE: A new Security Evaluation Tool for Deep Learning Based Watermarking Techniques
  144. OffsetBias: Leveraging Debiased Data for Tuning Evaluators
  145. AutoTask: Task Aware Multi-Faceted Single Model for Multi-Task Ads Relevance
  146. Deciphering Assamese Vowel Harmony with Featural InfoWaveGAN
  147. Multiple Instance Verification
  148. DriftGAN: Using historical data for Unsupervised Recurring Drift Detection
  149. General and Task-Oriented Video Segmentation
  150. Efficient and Accurate Memorable Conversation Model using DPO based on sLLM
  151. LETS-C: Leveraging Text Embedding for Time Series Classification
  152. Decomposition Betters Tracking Everything Everywhere
  153. Advanced Financial Fraud Detection Using GNN-CL Model
  154. UnmixingSR: Material-aware Network with Unsupervised Unmixing as Auxiliary Task for Hyperspectral Image Super-resolution
  155. Asymmetric Mask Scheme for Self-Supervised Real Image Denoising
  156. Computer vision tasks for intelligent aerospace missions: An overview
  157. LuSNAR:A Lunar Segmentation, Navigation and Reconstruction Dataset based on Muti-sensor for Autonomous Exploration
  158. A Clinical Benchmark of Public Self-Supervised Pathology Foundation Models
  159. Economic span selection of bridge based on deep reinforcement learning
  160. Reprogramming Distillation for Medical Foundation Models
  161. STORYSUMM: Evaluating Faithfulness in Story Summarization
  162. It's Our Loss: No Privacy Amplification for Hidden State DP-SGD With Non-Convex Loss
  163. VideoEval: Comprehensive Benchmark Suite for Low-Cost Evaluation of Video Foundation Model
  164. Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons
  165. Optimal Decision Making Through Scenario Simulations Using Large Language Models
  166. CrowdTransfer: Enabling Crowd Knowledge Transfer in AIoT Community
  167. Sinkhorn algorithms and linear programming solvers for optimal partial transport problems
  168. Interaction Matters: An Evaluation Framework for Interactive Dialogue Assessment on English Second Language Conversations
  169. AnatoMask: Enhancing Medical Image Segmentation with Reconstruction-guided Self-masking
  170. SideSeeing: A multimodal dataset and collection of tools for sidewalk assessment