mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 27 Feb 2024

344 papers

  1. XMoE: Sparse Models with Fine-grained and Adaptive Expert SelectionMixture-of-experts → MoE large language models
  2. Advancing Investment Frontiers: Industry-grade Deep Reinforcement Learning for Portfolio OptimizationDeep reinforcement learning methods → Adversarial robustness and RL in finance
  3. EmMark: Robust Watermarks for IP Protection of Embedded Quantized Large Language ModelsLLM safety and security → Watermarking generated content and models
  4. Box It to Bind It: Unified Layout Control and Attribute Binding in T2I Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  5. 4CNet: A Diffusion Approach to Map Prediction for Decentralized Multi-Robot ExplorationDiffusion models → Diffusion and flow policies for robotics
  6. Pathwise Relaxed Optimal Control of Rough Differential EquationsDeep reinforcement learning methods → RL theory and sample complexity
  7. Researchy Questions: A Dataset of Multi-Perspective, Decompositional Questions for LLM Web AgentsLLM agents and tool use → Web, search, and research agents
  8. JMLR: Joint Medical LLM and Retrieval Training for Enhancing Reasoning and Professional Question Answering CapabilityLLM reasoning → Clinical and biomedical applications
  9. Zeroth-Order Sampling Methods for Non-Log-Concave Distributions: Alleviating Metastability by Denoising DiffusionDiffusion models → Diffusion foundations and sampling
  10. Independent Learning in Constrained Markov Potential GamesDeep reinforcement learning methods → RL for games and combinatorial optimization
  11. BlendSQL: A Scalable Dialect for Unifying Hybrid Question Answering in Relational AlgebraLLM reasoning → Knowledge- and tool-augmented reasoning
  12. Follow My Instruction and Spill the Beans: Scalable Data Extraction from Retrieval-Augmented Generation SystemsRetrieval-augmented generation → Privacy and security of RAG
  13. Diffusion Meets DAgger: Supercharging Eye-in-hand Imitation LearningOffline RL and imitation learning from data → Robot manipulation imitation learning
  14. ShapeLLM: Universal 3D Object Understanding for Embodied InteractionMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  15. Evaluating Very Long-Term Conversational Memory of LLM AgentsLLM agents and tool use → Agent memory systems
  16. When Your AIs Deceive You: Challenges of Partial Observability in Reinforcement Learning from Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  17. Model Free Deep Deterministic Policy Gradient Controller for Setpoint Tracking of Non-minimum Phase SystemsDeep reinforcement learning methods → RL theory and sample complexity
  18. RAVEL: Evaluating Interpretability Methods on Disentangling Language Model RepresentationsMechanistic interpretability → Knowledge and representations inside LLMs
  19. Are LLMs Capable of Data-based Statistical and Causal Reasoning? Benchmarking Advanced Quantitative Reasoning with DataLLM reasoning → Causal reasoning in LLMs
  20. Agent-Pro: Learning to Evolve via Policy-Level Reflection and OptimizationWorld models → World models for language agents +1
  21. Structure-Guided Adversarial Training of Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  22. OmniACT: A Dataset and Benchmark for Enabling Multimodal Generalist Autonomous Agents for Desktop and WebLLM agents and tool use → GUI and mobile agents
  23. Diffusion Model-Based Image Editing: A SurveyDiffusion models → Image generation, text-to-image and editing
  24. Label-Noise Robust Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  25. Rethinking Mutual Information for Language Conditioned Skill Discovery on Imitation LearningOffline RL and imitation learning from data → Language-conditioned policies and VLAs
  26. Demonstrating and Reducing Shortcuts in Vision-Language Representation LearningMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  27. BASES: Large-scale Web Search User Simulation with Large Language Model based AgentsLLM agents and tool use → Web, search, and research agents
  28. REAR: A Relevance-Aware Retrieval-Augmented Framework for Open-Domain Question AnsweringRetrieval-augmented generation → RAG robustness and adaptive retrieval
  29. EMO: Emote Portrait Alive -- Generating Expressive Portrait Videos with Audio2Video Diffusion Model under Weak ConditionsDiffusion models → Audio, speech and music
  30. DS-Agent: Automated Data Science by Empowering Large Language Models with Case-Based ReasoningLLM reasoning → Reasoning for agents, planning and code +1
  31. DiffuseKronA: A Parameter Efficient Fine-tuning Method for Personalized Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  32. Beacon, a lightweight deep reinforcement learning benchmark library for flow controlDeep reinforcement learning methods → RL with diffusion and flow models
  33. Accelerating Diffusion Sampling with Optimized Time StepsDiffusion models → Diffusion foundations and sampling
  34. Impact of Computation in Integral Reinforcement Learning for Continuous-Time ControlDeep reinforcement learning methods → RL for games and combinatorial optimization
  35. SoFA: Shielded On-the-fly Alignment via Priority Rule FollowingLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  36. SDDGR: Stable Diffusion-based Deep Generative Replay for Class Incremental Object DetectionDiffusion models → Robustness, privacy and adversarial aspects
  37. Denoising Diffusion Models for Inpainting of Healthy Brain TissueDiffusion models → Medical imaging and segmentation
  38. Probing Multimodal Large Language Models for Global and Local Semantic RepresentationsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  39. DivAvatar: Diverse 3D Avatar Generation with a Single PromptDiffusion models → 3D, point cloud and scene generation
  40. Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution NetworkDiffusion models → Inverse problems and image restoration
  41. Diffusion Models for Generative Outfit RecommendationDiffusion models → 3D, point cloud and scene generation
  42. One-Shot Structure-Aware Stylized Image SynthesisDiffusion models → Image generation, text-to-image and editing
  43. Multi-Agent, Human-Agent and Beyond: A Survey on Cooperation in Social DilemmasLLM agents and tool use → Social simulation and multi-agent debate
  44. Speak Out of Turn: Safety Vulnerability of Large Language Models in Multi-turn DialogueLLM safety and security → Jailbreaking
  45. RIME: Robust Preference-based Reinforcement Learning with Noisy PreferencesDeep reinforcement learning methods → RL training of language and agent models
  46. Playground v2.5: Three Insights towards Enhancing Aesthetic Quality in Text-to-Image GenerationDiffusion models → Image generation, text-to-image and editing
  47. MATHSENSEI: A Tool-Augmented Large Language Model for Mathematical ReasoningLLM reasoning → Mathematical reasoning
  48. Reasoning in Conversation: Solving Subjective Tasks through Dialogue Simulation for Large Language ModelsLLM reasoning → Reasoning benchmarks and evaluation
  49. Temporal Logic Specification-Conditioned Decision Transformer for Offline Safe Reinforcement LearningOffline RL and imitation learning from data → Decision transformers and sequence modeling
  50. Solving Time-Continuous Stochastic Optimal Control Problems: Algorithm Design and Convergence Analysis of Actor-Critic FlowDeep reinforcement learning methods → RL theory and sample complexity
  51. An Effective Mixture-Of-Experts Approach For Code-Switching Speech Recognition Leveraging Encoder DisentanglementMixture-of-experts → Multimodal MoE models
  52. Benchmarking Data Science AgentsLLM agents and tool use → Web, search, and research agents
  53. TaxDiff: Taxonomic-Guided Diffusion Model for Protein Sequence GenerationDiffusion models → Flow matching, time series and science
  54. Unsupervised Zero-Shot Reinforcement Learning via Functional Reward EncodingsDeep reinforcement learning methods → Deep RL algorithms and representations
  55. SAM-DiffSR: Structure-Modulated Diffusion Model for Image Super-ResolutionDiffusion models → Inverse problems and image restoration
  56. Transparent Image Layer Diffusion using Latent TransparencyDiffusion models → Diffusion foundations and sampling
  57. Sinkhorn Distance Minimization for Knowledge DistillationKnowledge distillation → Knowledge distillation for LLMs
  58. Structural Teacher-Student Normality Learning for Multi-Class Anomaly Detection and LocalizationKnowledge distillation → Detection and dense prediction distillation
  59. Multidimensional Compressed Sensing for Spectral Light Field Imaging
  60. Enhancing Credit Card Fraud Detection A Neural Network and SMOTE Integrated Approach
  61. Identifying Potential Inlets of Man in the Artificial Intelligence Development Process
  62. A Synergistic Approach to Wildfire Prevention and Management Using AI, ML, and 5G Technology in the United States
  63. On the Societal Impact of Open Foundation Models
  64. A Neural-Evolutionary Algorithm for Autonomous Transit Network Design
  65. ACTrack: Adding Spatio-Temporal Condition for Visual Object Tracking
  66. HandGCAT: Occlusion-Robust 3D Hand Mesh Reconstruction from Monocular Images
  67. Standing on FURM ground -- A framework for evaluating Fair, Useful, and Reliable AI Models in healthcare systems
  68. MAGPIE: Multi-Task Media-Bias Analysis Generalization for Pre-Trained Identification of Expressions
  69. Understanding Subjectivity through the Lens of Motivational Context in Model-Generated Image Satisfaction
  70. Deep Learning Detection Method for Large Language Models-Generated Scientific Content
  71. Self-Refinement of Language Models from External Proxy Metrics Feedback
  72. LLMGuard: Guarding Against Unsafe LLM Behavior
  73. Comparing effectiveness of regularization methods on text classification: Simple and complex model in data shortage situation
  74. Information Flow Routes: Automatically Interpreting Language Models at Scale
  75. GIN-SD: Source Detection in Graphs with Incomplete Nodes via Positional Encoding and Attentive Fusion
  76. Prioritizing Informative Features and Examples for Deep Learning from Noisy Data
  77. PreRoutGNN for Timing Prediction with Order Preserving Partition: Global Circuit Pre-training, Local Delay Learning and Attentional Cell Modeling
  78. Meta-Task: A Method-Agnostic Framework for Learning to Regularize in Few-Shot Learning
  79. Note: Evolutionary Game Theory Focus Informational Health: The Cocktail Party Effect Through Werewolfgame under Incomplete Information and ESS Search Method Using Expected Gains of Repeated Dilemmas
  80. FedUV: Uniformity and Variance for Heterogeneous Federated Learning
  81. Adversarial Example Soups: Improving Transferability and Stealthiness for Free
  82. Large Language Models(LLMs) on Tabular Data: Prediction, Generation, and Understanding -- A Survey
  83. Sequential transport maps using SoS density estimation and α-divergences
  84. Acquiring Linguistic Knowledge from Multimodal Input
  85. Inducing Generalization across Languages and Tasks using Featurized Low-Rank Mixtures
  86. Pragmatic Instruction Following and Goal Assistance via Cooperative Language-Guided Inverse Planning
  87. Certain and Approximately Certain Models for Statistical Learning
  88. The Seeker's Dilemma: Realistic Formulation and Benchmarking for Hardware Trojan Detection
  89. Collaborative learning of common latent representations in routinely collected multivariate ICU physiological signals
  90. Adversarial Math Word Problem Generation
  91. Extracting Lexical Features from Dialects via Interpretable Dialect Classifiers
  92. Neural Physics: Using AI Libraries to Develop Physics-Based Solvers for Incompressible Computational Fluid Dynamics
  93. Demonstration of Robust and Efficient Quantum Property Learning with Shallow Shadows
  94. Representation learning in multiplex graphs: Where and how to fuse information?
  95. Using Graph Neural Networks to Predict Local Culture
  96. Surgment: Segmentation-enabled Semantic Search and Creation of Visual Question and Feedback to Support Video-Based Surgery Learning
  97. SequentialAttention++ for Block Sparsification: Differentiable Pruning Meets Combinatorial Optimization
  98. Exoplanets Prediction in Multi-Planetary Systems and Determining the Correlation Between the Parameters of Planets and Host Stars Using Artificial Intelligence
  99. A Language Model based Framework for New Concept Placement in Ontologies
  100. Weakly Supervised Co-training with Swapping Assignments for Semantic Segmentation
All 344
  1. From Inverse Optimization to Feasibility to ERM
  2. ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
  3. Automated Statistical Model Discovery with Language Models
  4. Stochastic Approximation with Biased MCMC for Expectation Maximization
  5. Vision Transformers with Natural Language Semantics
  6. REPrune: Channel Pruning via Kernel Representative Selection
  7. Latent Neural PDE Solver: a reduced-order modelling framework for partial differential equations
  8. Stable LM 2 1.6B Technical Report
  9. Prediction-Powered Ranking of Large Language Models
  10. DropBP: Accelerating Fine-Tuning of Large Language Models by Dropping Backward Propagation
  11. TruthX: Alleviating Hallucinations by Editing Large Language Models in Truthful Space
  12. BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning
  13. AN An ica-ensemble learning approach for prediction of uwb nlos signals data classification
  14. Exploring Gene Regulatory Interaction Networks and predicting therapeutic molecules for Hypopharyngeal Cancer and EGFR-mutated lung adenocarcinoma
  15. Material Microstructure Design Using VAE-Regression with Multimodal Prior
  16. Graph Neural Networks and Arithmetic Circuits
  17. Predicting machine failures from multivariate time series: an industrial case study
  18. Time Series Analysis in Compressor-Based Machines: A Survey
  19. Generative AI and Copyright: A Dynamic Perspective
  20. Opening Articulated Structures in the Real World
  21. The Era of 1-bit LLMs: All Large Language Models are in 1.58 Bits
  22. Massive Activations in Large Language Models
  23. Learning to Program Variational Quantum Circuits with Fast Weights
  24. Towards Optimal Learning of Language Models
  25. ADL4D: Towards A Contextually Rich Dataset for 4D Activities of Daily Living
  26. Robustly Learning Single-Index Models via Alignment Sharpness
  27. Arbitrary control over multimode wave propagation for machine learning
  28. Low-light phase retrieval with implicit generative priors
  29. Analyzing Regional Organization of the Human Hippocampus in 3D-PLI Using Contrastive Learning and Geometric Unfolding
  30. reBandit: Random Effects based Online RL algorithm for Reducing Cannabis Use
  31. Learning-Based Algorithms for Graph Searching Problems
  32. Tower: An Open Multilingual Large Language Model for Translation-Related Tasks
  33. Batched Nonparametric Contextual Bandits
  34. Markovletics: Methods and A Novel Application for Learning Continuous-Time Markov Chain Mixtures
  35. Towards Fairness-Aware Adversarial Learning
  36. VRP-SAM: SAM with Visual Reference Prompt
  37. MedContext: Learning Contextual Cues for Efficient Volumetric Medical Segmentation
  38. Seeing and Hearing: Open-domain Visual-Audio Generation with Diffusion Latent Aligners
  39. Taming Nonconvex Stochastic Mirror Descent with General Bregman Divergence
  40. The SMART approach to instance-optimal online learning
  41. Towards a Digital Twin Framework in Additive Manufacturing: Machine Learning and Bayesian Optimization for Time Series Process Optimization
  42. AmbigNLG: Addressing Task Ambiguity in Instruction for NLG
  43. Understanding Neural Network Binarization with Forward and Backward Proximal Quantizers
  44. Case-Based or Rule-Based: How Do Transformers Do the Math?
  45. Adaptive quantization with mixed-precision based on low-cost proxy
  46. Federated Learning for Estimating Heterogeneous Treatment Effects
  47. Transfer Learning Bayesian Optimization to Design Competitor DNA Molecules for Use in Diagnostic Assays
  48. Real-time Low-latency Music Source Separation using Hybrid Spectrogram-TasNet
  49. Gradient-based Discrete Sampling with Automatic Cyclical Scheduling
  50. Learning reduced-order Quadratic-Linear models in Process Engineering using Operator Inference
  51. Geometric Deep Learning for Computer-Aided Design: A Survey
  52. Autonomous Vehicles: Evolution of Artificial Intelligence and Learning Algorithms
  53. QoS prediction in radio vehicular environments via prior user information
  54. Outlier-Detection for Reactive Machine Learned Potential Energy Surfaces
  55. NextLevelBERT: Masked Language Modeling with Higher-Level Representations for Long Documents
  56. MCF-VC: Mitigate Catastrophic Forgetting in Class-Incremental Learning for Multimodal Video Captioning
  57. CAD-SIGNet: CAD Language Inference from Point Clouds using Layer-wise Sketch Instance Guided Attention
  58. SDF2Net: Shallow to Deep Feature Fusion Network for PolSAR Image Classification
  59. Securing Reliability: A Brief Overview on Enhancing In-Context Learning for Foundation Models
  60. Multi-Agent Deep Reinforcement Learning for Distributed Satellite Routing
  61. Bayesian Differentiable Physics for Cloth Digitalization
  62. TorchMD-Net 2.0: Fast Neural Network Potentials for Molecular Simulations
  63. Confidence-Aware Multi-Field Model Calibration
  64. Mitigating Distributional Shift in Semantic Segmentation via Uncertainty Estimation from Unlabelled Data
  65. Compass: A Decentralized Scheduler for Latency-Sensitive ML Workflows
  66. Beyond prompt brittleness: Evaluating the reliability and consistency of political worldviews in LLMs
  67. SongComposer: A Large Language Model for Lyric and Melody Generation in Song Composition
  68. Variational Learning is Effective for Large Deep Networks
  69. From Text Segmentation to Smart Chaptering: A Novel Benchmark for Structuring Video Transcriptions
  70. Fine-Grained Natural Language Inference Based Faithfulness Evaluation for Diverse Summarisation Tasks
  71. CustomSketching: Sketch Concept Extraction for Sketch-based Image Synthesis and Editing
  72. Masked Gamma-SSL: Learning Uncertainty Estimation via Masked Image Modeling
  73. Supervised machine learning for microbiomics: bridging the gap between current and best practices
  74. Adapt Before Comparison: A New Perspective on Cross-Domain Few-Shot Segmentation
  75. Neural Automated Writing Evaluation with Corrective Feedback
  76. A Large-scale Evaluation of Pretraining Paradigms for the Detection of Defects in Electroluminescence Solar Cell Images
  77. Linguistic Knowledge Can Enhance Encoder-Decoder Models (If You Let It)
  78. Learning Topological Representations with Bidirectional Graph Attention Network for Solving Job Shop Scheduling Problem
  79. Advancing sleep detection by modelling weak label sets: A novel weakly supervised learning approach
  80. Implicit Regularization via Spectral Neural Networks and Non-linear Matrix Sensing
  81. PLReMix: Combating Noisy Labels with Pseudo-Label Relaxed Contrastive Representation Learning
  82. FaultProfIT: Hierarchical Fault Profiling of Incident Tickets in Large-scale Cloud Systems
  83. Hyperdimensional computing: a fast, robust and interpretable paradigm for biological data
  84. Sparse Variational Contaminated Noise Gaussian Process Regression with Applications in Geomagnetic Perturbations Forecasting
  85. Unleashing the Potential of Large Language Models as Prompt Optimizers: Analogical Analysis with Gradient-based Model Optimizers
  86. An Empirical Study of the Generalization Ability of Lidar 3D Object Detectors to Unseen Domains
  87. PHNet: Patch-based Normalization for Portrait Harmonization
  88. Scribble Hides Class: Promoting Scribble-Based Weakly-Supervised Semantic Segmentation with Its Class Label
  89. Evaluation of Predictive Reliability to Foster Trust in Artificial Intelligence. A case study in Multiple Sclerosis
  90. Emergency Caching: Coded Caching-based Reliable Map Transmission in Emergency Networks
  91. COCOA: CBT-based Conversational Counseling Agent using Memory Specialized in Cognitive Distortions and Dynamic Prompt
  92. Adapting Learned Image Codecs to Screen Content via Adjustable Transformations
  93. Multimodal Learned Sparse Retrieval with Probabilistic Expansion Control
  94. Black-box Adversarial Attacks Against Image Quality Assessment Models
  95. Retrieval is Accurate Generation
  96. Nissist: An Incident Mitigation Copilot based on Troubleshooting Guides
  97. Predict the Next Word: Humans exhibit uncertainty in this task and language models _____
  98. AVS-Net: Point Sampling with Adaptive Voxel Size for 3D Scene Understanding
  99. QUCE: The Minimisation and Quantification of Path-Based Uncertainty for Generative Counterfactual Explanations
  100. Robust Zero-Shot Crowd Counting and Localization With Adaptive Resolution SAM
  101. Unifying Linear-Time Attention via Latent Probabilistic Modelling
  102. Extreme Miscalibration and the Illusion of Adversarial Robustness
  103. Interactive Multi-Head Self-Attention with Linear Complexity
  104. Thermodynamics-informed super-resolution of scarce temporal dynamics data
  105. FedLPPA: Learning Personalized Prompt and Aggregation for Federated Weakly-supervised Medical Image Segmentation
  106. Intensive Care as One Big Sequence Modeling Problem
  107. Instability in Complex Oscillator Networks: Limitations and Potentials of Network Measures and Machine Learning
  108. Emotional Voice Messages (EMOVOME) database: emotion recognition in spontaneous voice messages
  109. The Foundational Capabilities of Large Language Models in Predicting Postoperative Risks Using Clinical Notes
  110. syren-halofit: A fast, interpretable, high-precision formula for the LambdaCDM nonlinear matter power spectrum
  111. The Mechanical Turkness: Tactical Media Art and the Critique of Corporate AI
  112. Bit Rate Matching Algorithm Optimization in JPEG-AI Verification Model
  113. MGE: A Training-Free and Efficient Model Generation and Enhancement Scheme
  114. AlignMiF: Geometry-Aligned Multimodal Implicit Field for LiDAR-Camera Joint Synthesis
  115. Automated Classification of Phonetic Segments in Child Speech Using Raw Ultrasound Imaging
  116. Can GPT-4 Identify Propaganda? Annotation and Detection of Propaganda Spans in News Articles
  117. RAGFormer: Learning Semantic Attributes and Topological Structure for Fraud Detection
  118. Bit Distribution Study and Implementation of Spatial Quality Map in the JPEG-AI Standardization
  119. Natural Language Processing Methods for Symbolic Music Generation and Information Retrieval: a Survey
  120. Model X-ray:Detecting Backdoored Models via Decision Boundary
  121. Generative 3D Part Assembly via Part-Whole-Hierarchy Message Passing
  122. Training-Free Long-Context Scaling of Large Language Models
  123. Super Consistency of Neural Network Landscapes and Learning Rate Transfer
  124. A Piece of Theatre: Investigating How Teachers Design LLM Chatbots to Assist Adolescent Cyberbullying Education
  125. Segment anything model for head and neck tumor segmentation with CT, PET and MRI multi-modality images
  126. Deep Learning Based Named Entity Recognition Models for Recipes
  127. Insights from the Usage of the Ansible Lightspeed Code Completion Service
  128. Principled Architecture-aware Scaling of Hyperparameters
  129. V2C-Long: Longitudinal Cortex Reconstruction with Spatiotemporal Correspondence
  130. Exploiting Emotion-Semantic Correlations for Empathetic Response Generation
  131. Enhancing EEG-to-Text Decoding through Transferable Representations from Pre-trained Contrastive EEG-Text Masked Autoencoder
  132. The KANDY Benchmark: Incremental Neuro-Symbolic Learning and Reasoning with Kandinsky Patterns
  133. Leveraging Enhanced Queries of Point Sets for Vectorized Map Construction
  134. VastGaussian: Vast 3D Gaussians for Large Scene Reconstruction
  135. ViTaL: An Advanced Framework for Automated Plant Disease Identification in Leaf Images Using Vision Transformers and Linear Projection For Feature Reduction
  136. Reinforced In-Context Black-Box Optimization
  137. PANDAS: Prototype-based Novel Class Discovery and Detection
  138. CARZero: Cross-Attention Alignment for Radiology Zero-Shot Classification
  139. Neural Video Compression with Feature Modulation
  140. Consistency Matters: Explore LLMs Consistency From a Black-Box Perspective
  141. Image space formalism of convolutional neural networks for k-space interpolation
  142. A Neural Rewriting System to Solve Algorithmic Problems
  143. LSPT: Long-term Spatial Prompt Tuning for Visual Representation Learning
  144. Sora Generates Videos with Stunning Geometrical Consistency
  145. Investigating Continual Pretraining in Large Language Models: Insights and Implications
  146. A Quantum Approach to Synthetic Minority Oversampling Technique (SMOTE)
  147. Benchmarking GPT-4 on Algorithmic Problems: A Systematic Evaluation of Prompting Strategies
  148. Spot the bot: Coarse-Grained Partition of Semantic Paths for Bots and Humans
  149. Robustness-Congruent Adversarial Training for Secure Machine Learning Model Updates
  150. FairBelief -- Assessing Harmful Beliefs in Language Models
  151. A case study of sending graph neural networks back to the test bench for applications in high-energy particle physics
  152. Determinants of LLM-assisted Decision-Making
  153. KoDialogBench: Evaluating Conversational Understanding of Language Models with Korean Dialogue Benchmark
  154. Coupled Laplacian Eigenmaps for Locally-Aware 3D Rigid Point Cloud Matching
  155. A Dataset for Metaphor Detection in Early Medieval Hebrew Poetry
  156. An Efficient MLP-based Point-guided Segmentation Network for Ore Images with Ambiguous Boundary
  157. Learning Dynamic Tetrahedra for High-Quality Talking Head Synthesis
  158. CGGM: A conditional graph generation model with adaptive sparsity for node anomaly detection in IoT networks
  159. CAPT: Category-level Articulation Estimation from a Single Point Cloud Using Transformer
  160. RECOST: External Knowledge Guided Data-efficient Instruction Tuning
  161. ICP-Flow: LiDAR Scene Flow Estimation with ICP
  162. Understanding the training of PINNs for unsteady flow past a plunging foil through the lens of input subdomain level loss function gradients
  163. LocalGCL: Local-aware Contrastive Learning for Graphs
  164. Enhanced Bayesian Optimization via Preferential Modeling of Abstract Properties
  165. SocialCVAE: Predicting Pedestrian Trajectory via Interaction Conditioned Latents
  166. Outdoor Environment Reconstruction with Deep Learning on Radio Propagation Paths
  167. BiVRec: Bidirectional View-based Multimodal Sequential Recommendation
  168. Unsupervised multiple choices question answering via universal corpus
  169. Data-Efficient Learning via Clustering-Based Sensitivity Sampling: Foundation Models and Beyond
  170. A Vanilla Multi-Task Framework for Dense Visual Prediction Solution to 1st VCL Challenge -- Multi-Task Robustness Track
  171. Scaling Supervised Local Learning with Augmented Auxiliary Networks
  172. How we won BraTS 2023 Adult Glioma challenge? Just faking it! Enhanced Synthetic Data Augmentation and Model Ensemble for brain tumour segmentation
  173. Towards Robust and Efficient Cloud-Edge Elastic Model Adaptation via Selective Entropy Distillation
  174. SKT5SciSumm -- Revisiting Extractive-Generative Approach for Multi-Document Scientific Summarization
  175. Method of Tracking and Analysis of Fluorescent-Labeled Cells Using Automatic Thresholding and Labeling
  176. Can LLM Generate Culturally Relevant Commonsense QA Data? Case Study in Indonesian and Sundanese
  177. ArcSin: Adaptive ranged cosine Similarity injected noise for Language-Driven Visual Tasks
  178. Learning Exposure Correction in Dynamic Scenes
  179. Quantum Distance Approximation for Persistence Diagrams
  180. Active propulsion noise shaping for multi-rotor aircraft localization
  181. An Interpretable Evaluation of Entropy-based Novelty of Generative Models
  182. Curriculum Learning Meets Directed Acyclic Graph for Multimodal Emotion Recognition
  183. Explicit Interaction for Fusion-Based Place Recognition
  184. MELoRA: Mini-Ensemble Low-Rank Adapters for Parameter-Efficient Fine-Tuning
  185. Stochastic approximation in infinite dimensions
  186. Beyond the Known: Investigating LLMs Performance on Out-of-Domain Intent Detection
  187. Context-based and Diversity-driven Specificity in Compositional Zero-Shot Learning
  188. Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework
  189. SDR-Former: A Siamese Dual-Resolution Transformer for Liver Lesion Classification Using 3D Multi-Phase Imaging
  190. Does Negative Sampling Matter? A Review with Insights into its Theory and Applications
  191. MVAM: Multi-View Attention Method for Fine-grained Image-Text Matching
  192. A Review of Data Mining in Personalized Education: Current Trends and Future Prospects
  193. Stochastic Gradient Succeeds for Bandits
  194. Hybrid2 Neural ODE Causal Modeling and an Application to Glycemic Response
  195. Two-scale Neural Networks for Partial Differential Equations with Small Parameters
  196. Preserving Fairness Generalization in Deepfake Detection
  197. Feature Re-Embedding: Towards Foundation Model-Level Performance in Computational Pathology
  198. Efficient Backpropagation with Variance-Controlled Adaptive Sampling
  199. Application of Machine Learning Optimization in Cloud Computing Resource Scheduling and Management
  200. Multidimensional unstructured sparse recovery via eigenmatrix
  201. CharacterGen: Efficient 3D Character Generation from Single Images with Multi-View Pose Canonicalization
  202. VCD: A Dataset for Visual Commonsense Discovery in Images
  203. Purified and Unified Steganographic Network
  204. Deployment Prior Injection for Run-time Calibratable Object Detection
  205. Measuring Vision-Language STEM Skills of Neural Models
  206. Advancing Generative Model Evaluation: A Novel Algorithm for Realistic Image Synthesis and Comparison in OCR System
  207. FedBRB: An Effective Solution to the Small-to-Large Scenario in Device-Heterogeneity Federated Learning
  208. Enhancing Quality of Compressed Images by Mitigating Enhancement Bias Towards Compression Domain
  209. Prediction of the SYM-H Index Using a Bayesian Deep Learning Method with Uncertainty Quantification
  210. When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
  211. Differentiable Biomechanics Unlocks Opportunities for Markerless Motion Capture
  212. AI-Driven Anonymization: Protecting Personal Data Privacy While Leveraging Machine Learning
  213. PE-MVCNet: Multi-view and Cross-modal Fusion Network for Pulmonary Embolism Prediction
  214. Inpainting Computational Fluid Dynamics with Deep Learning
  215. Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models
  216. Molecule Design by Latent Prompt Transformer
  217. Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models
  218. DeepDRK: Deep Dependency Regularized Knockoff for Feature Selection
  219. Lane2Seq: Towards Unified Lane Detection via Sequence Generation
  220. LiveHPS: LiDAR-based Scene-level Human Pose and Shape Estimation in Free Environment
  221. Deep Umbra: A Generative Approach for Sunlight Access Computation in Urban Spaces
  222. Few-shot adaptation for morphology-independent cell instance segmentation
  223. Large Language Model for Participatory Urban Planning
  224. NocPlace: Nocturnal Visual Place Recognition via Generative and Inherited Knowledge Transfer
  225. Generative Learning for Forecasting the Dynamics of Complex Systems
  226. Actions Speak Louder than Words: Trillion-Parameter Sequential Transducers for Generative Recommendations
  227. Clustering Document Parts: Detecting and Characterizing Influence Campaigns from Documents
  228. Time series generation for option pricing on quantum computers using tensor network
  229. Metasql: A Generate-then-Rank Framework for Natural Language to SQL Translation
  230. Energy-Efficient Scheduling with Predictions
  231. Video as the New Language for Real-World Decision Making
  232. Efficiently Leveraging Linguistic Priors for Scene Text Spotting
  233. Predicting O-GlcNAcylation Sites in Mammalian Proteins with Transformers and RNNs Trained with a New Loss Function
  234. OSCaR: Object State Captioning and State Change Representation
  235. Fact-and-Reflection (FaR) Improves Confidence Calibration of Large Language Models
  236. LCEN: A Nonlinear, Interpretable Feature Selection and Machine Learning Algorithm
  237. Creating Suspenseful Stories: Iterative Planning with Large Language Models
  238. CharNeRF: 3D Character Generation from Concept Art
  239. Repeated Contracting with Multiple Non-Myopic Agents: Policy Regret and Limited Liability
  240. Achievable Fairness on Your Data With Utility Guarantees
  241. Adversarial Perturbations of Physical Signals
  242. T-HITL Effectively Addresses Problematic Associations in Image Generation and Maintains Overall Visual Quality
  243. In Defense and Revival of Bayesian Filtering for Thermal Infrared Object Tracking
  244. Re-Ex: Revising after Explanation Reduces the Factual Errors in LLM Responses