mlsanityData to 14 Oct 2026

Papers

New on arXiv

Wed 5 Jun 2024

350 papers

  1. Queue management for slo-oriented large language model servingEfficient LLM inference and serving → Serving systems and request scheduling
  2. Lumina-Next: Making Lumina-T2X Stronger and Faster with Next-DiTDiffusion models → Diffusion foundations and sampling
  3. Shedding Light on Large Generative Networks: Estimating Epistemic Uncertainty in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  4. Physics-Guided Actor-Critic Reinforcement Learning for Swimming in TurbulenceDeep reinforcement learning methods → RL with diffusion and flow models
  5. Improve Mathematical Reasoning in Language Models by Automated Process SupervisionLLM reasoning → Reinforcement learning for reasoning
  6. Are LLMs classical or nonmonotonic reasoners? Lessons from genericsLLM reasoning → Reasoning benchmarks and evaluation
  7. Assessing the Emergent Symbolic Reasoning Abilities of Llama Large Language ModelsLLM reasoning → Mathematical reasoning
  8. TouchAI: Exploring human-AI perceptual alignment in touch through language model representationsLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  9. Bi-Chainer: Automated Large Language Models Reasoning with Bidirectional ChainingLLM reasoning → Test-time compute and efficient thinking
  10. Combining Graph Neural Network and Mamba to Capture Local and Global Tissue Spatial Relationships in Whole Slide ImagesState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  11. Inductive Generalization in Reinforcement Learning from SpecificationsDeep reinforcement learning methods → Interpretable and logic-guided RL
  12. Is Free Self-Alignment Possible?LLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  13. Style Mixture of Experts for Expressive Text-To-Speech SynthesisMixture-of-experts → Multimodal MoE models
  14. TACT: Advancing Complex Aggregative Reasoning with Information Extraction ToolsLLM reasoning → Knowledge- and tool-augmented reasoning
  15. MUC: Machine Unlearning for Contrastive Learning with Black-box EvaluationLLM safety and security → Machine unlearning
  16. Ranking Manipulation for Conversational Search EnginesLLM safety and security → Jailbreaking
  17. CountCLIP -- [Re] Teaching CLIP to Count to TenMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  18. Understanding the Limitations of Diffusion Concept Algebra Through FoodDiffusion models → Image generation, text-to-image and editing
  19. A Geometric View of Data Complexity: Efficient Local Intrinsic Dimension Estimation with Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  20. Mutual Information Guided Backdoor Mitigation for Pre-trained EncodersLLM safety and security → Backdoor and data poisoning attacks +1
  21. Wings: Learning Multimodal LLMs without Text-only ForgettingMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  22. QJL: 1-Bit Quantized JL Transform for KV Cache Quantization with Zero OverheadEfficient LLM inference and serving → KV cache quantization
  23. AD-H: Language-guided Autonomous Driving with Hierarchical AgentsEnd-to-end autonomous driving → Large language models for driving +1
  24. Node-wise Filtering in Graph Neural Networks: A Mixture of Experts ApproachMixture-of-experts → MoE for time series and graphs
  25. Pre-trained Large Language Models Use Fourier Features to Compute AdditionLLM reasoning → Mathematical reasoning
  26. Cycles of Thought: Measuring LLM Confidence through Stable ExplanationsLLM reasoning → Test-time compute and efficient thinking
  27. Text-to-Events: Synthetic Event Camera Streams from Conditional Text InputDiffusion models → Video generation
  28. Unified PAC-Bayesian Study of Pessimism for Offline Policy Learning with Regularized Importance SamplingOffline RL and imitation learning from data → Offline RL algorithms
  29. Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image AnalysisState-space sequence models (S4, Mamba) → Mamba for medical image analysis
  30. Log Parsing using LLMs with Self-Generated In-Context Learning and Self-CorrectionSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  31. CLMASP: Coupling Large Language Models with Answer Set Programming for Robotic Task PlanningLLM reasoning → Spatial and embodied reasoning
  32. Audio Mamba: Bidirectional State Space Model for Audio Representation LearningState-space sequence models (S4, Mamba) → Speech and audio SSMs
  33. UDQL: Bridging The Gap between MSE Loss and The Optimal Value Function in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  34. Text-to-Image Rectified Flow as Plug-and-Play PriorsDiffusion models → Flow matching, time series and science
  35. Revisiting Scalable Hessian Diagonal Approximations for Applications in Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  36. Llumnix: Dynamic Scheduling for Large Language Model ServingEfficient LLM inference and serving → Serving systems and request scheduling
  37. Fine-Grained Causal Dynamics Learning with Quantization for Improving Robustness in Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  38. Generative Diffusion Models for Fast Simulations of Particle Collisions at CERNDiffusion models → Flow matching, time series and science
  39. CommonPower: A Framework for Safe Data-Driven Smart Grid ControlDeep reinforcement learning methods → RL for energy, networks and operations
  40. Object Manipulation in Marine Environments using Reinforcement LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
  41. Searching Priors Makes Text-to-Video Synthesis BetterDiffusion models → Video generation
  42. ChatLang-8: An LLM-Based Synthetic Data Generation Framework for Grammatical Error CorrectionSynthetic data and self-improvement for LLMs → LLM synthetic data generation
  43. Dynamic 3D Gaussian Fields for Urban AreasWorld models → World models for autonomous driving
  44. Multi-Task Multi-Scale Contrastive Knowledge Distillation for Efficient Medical Image SegmentationKnowledge distillation → Distillation for medical imaging
  45. Tiny models from tiny data: Textual and null-text inversion for few-shot distillationDiffusion models → Image generation, text-to-image and editing
  46. Continual Traffic Forecasting via Mixture of ExpertsMixture-of-experts → MoE for time series and graphs
  47. DEER: A Delay-Resilient Framework for Reinforcement Learning with Variable DelaysDeep reinforcement learning methods → Deep RL algorithms and representations
  48. Towards Federated Domain Unlearning: Verification Methodologies and ChallengesLLM safety and security → Federated unlearning and poisoning
  49. Towards Detecting LLMs Hallucination via Markov Chain-based Multi-agent Debate FrameworkLLM agents and tool use → Medical and scientific domain agents
  50. Exploiting LMM-based knowledge for image classification tasksMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  51. "Give Me an Example Like This": Episodic Active Reinforcement Learning from DemonstrationsOffline RL and imitation learning from data → Imitation learning methods +1
  52. Distributional Associations vs In-Context Reasoning: A Study of Feed-forward and Attention LayersLLM reasoning → Reasoning benchmarks and evaluation
  53. Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental LearnerKnowledge distillation → Distillation for continual learning
  54. Path-Specific Causal Reasoning for Fairness-aware Cognitive DiagnosisLLM reasoning → Causal reasoning in LLMs
  55. DriVLMe: Enhancing LLM-based Autonomous Driving Agents with Embodied and Social ExperiencesEnd-to-end autonomous driving → Large language models for driving +1
  56. BadAgent: Inserting and Activating Backdoor Attacks in LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance +1
  57. Phy-Diff: Physics-guided Hourglass Diffusion Model for Diffusion MRI SynthesisDiffusion models → Medical imaging and segmentation
  58. Enhancing Multimodal Large Language Models with Multi-instance Visual Prompt Generator for Visual Representation EnrichmentMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  59. Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language ModelsMixture-of-experts → MoE large language models
  60. Understanding the Impact of Negative Prompts: When and How Do They Take Effect?Diffusion models → Robustness, privacy and adversarial aspects
  61. Adversarial Moment-Matching Distillation of Large Language ModelsKnowledge distillation → Knowledge distillation for LLMs
  62. Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  63. Scaling Laws for Reward Model Overoptimization in Direct Alignment AlgorithmsLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  64. PLaD: Preference-based Large Language Model Distillation with Pseudo-Preference PairsKnowledge distillation → Knowledge distillation for LLMs
  65. Dynamically Expanding Capacity of Autonomous Driving with Near-Miss Focused Training FrameworkEnd-to-end autonomous driving → Adversarial scenarios and safety testing
  66. NUMCoT: Numerals and Units of Measurement in Chain-of-Thought Reasoning using Large Language ModelsLLM reasoning → Mathematical reasoning
  67. TSPDiffuser: Diffusion Models as Learned Samplers for Traveling Salesperson Path Planning ProblemsDiffusion models → Diffusion and flow policies for robotics
  68. Stochastic Diffusion: A Diffusion Probabilistic Model for Stochastic Time Series ForecastingDiffusion models → Flow matching, time series and science
  69. Unified Prediction Model for Employability in Indian Higher Education System
  70. GPT-4's One-Dimensional Mapping of Morality: How the Accuracy of Country-Estimates Depends on Moral Domain
  71. Cluster Model for parsimonious selection of variables and enhancing Students Employability Prediction
  72. Generating Harder Cross-document Event Coreference Resolution Datasets using Metaphoric Paraphrasing
  73. SlicerChat: Building a Local Chatbot for 3D Slicer
  74. CanFields: Consolidating Diffeomorphic Flows for Non-Rigid 4D Interpolation from Arbitrary-Length Sequences
  75. Dream-in-Style: Text-to-3D Generation Using Stylized Score Distillation
  76. Hire: Hybrid-modal Interaction with Multiple Relational Enhancements for Image-Text Matching
  77. Mind's Eye: Image Recognition by EEG via Multimodal Similarity-Keeping Contrastive Learning
  78. Enhancing Computational Efficiency of Motor Imagery BCI Classification with Block-Toeplitz Augmented Covariance Matrices and Siegel Metric
  79. Exploring Multilingual Large Language Models for Enhanced TNM classification of Radiology Report in lung cancer staging
  80. PatentEval: Understanding Errors in Patent Generation
  81. Expressive Symbolic Regression for Interpretable Models of Discrete-Time Dynamical Systems
  82. Evaluating the Efficacy of Large Language Models in Detecting Fake News: A Comparative Analysis
  83. TIDMAD: Time Series Dataset for Discovering Dark Matter with AI Denoising
  84. Equivalence Set Restricted Latent Class Models (ESRLCM)
  85. Ensembling Portfolio Strategies for Long-Term Investments: A Distribution-Free Preference Framework for Decision-Making and Algorithms
  86. Decision-focused Graph Neural Networks for Combinatorial Optimization
  87. Partial Label Learning with Focal Loss for Sea Ice Classification Based on Ice Charts
  88. Task and Motion Planning for Execution in the Real
  89. Synthetic Programming Elicitation for Text-to-Code in Very Low-Resource Programming and Formal Languages
  90. Discovering Bias in Latent Space: An Unsupervised Debiasing Approach
  91. Active ML for 6G: Towards Efficient Data Generation, Acquisition, and Annotation
  92. Synthetic Oversampling: Theory and A Practical Approach Using LLMs to Address Data Imbalance
  93. Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories
  94. Private Online Learning via Lazy Algorithms
  95. Symmetry Discovery Beyond Affine Transformations
  96. BEACON: A Bayesian Optimization Inspired Strategy for Efficient Novelty Search
  97. Advancing Anomaly Detection: Non-Semantic Financial Data Encoding with LLMs
  98. FedPylot: Navigating Federated Learning for Real-Time Object Detection in Internet of Vehicles
  99. Neural force functional for non-equilibrium many-body colloidal systems
  100. Knowledge-Infused Legal Wisdom: Navigating LLM Consultation through the Lens of Diagnostics and Positive-Unlabeled Reinforcement Learning
All 350
  1. Hi5: Synthetic Data for Inclusive, Robust, Hand Pose Estimation
  2. Why is "Problems" Predictive of Positive Sentiment? A Case Study of Explaining Unintuitive Features in Sentiment Classification
  3. Measuring Retrieval Complexity in Question Answering Systems
  4. BVE + EKF: A viewpoint estimator for the estimation of the object's position in the 3D task space using Extended Kalman Filters
  5. A Comparison of Recent Algorithms for Symbolic Regression to Genetic Programming
  6. Explaining the Contributing Factors for Vulnerability Detection in Machine Learning
  7. Enhancing Traffic Sign Recognition with Tailored Data Augmentation: Addressing Class Imbalance and Instance Scarcity
  8. Reconciling Heterogeneous Effects in Causal Inference
  9. A Simple Learning-Augmented Algorithm for Online Packing with Concave Objectives
  10. GFN: A graph feedforward network for resolution-invariant reduced operator learning in multifidelity applications
  11. Neural empirical interpolation method for nonlinear model reduction
  12. Npix2Cpix: A GAN-Based Image-to-Image Translation Network With Retrieval- Classification Integration for Watermark Retrieval From Historical Document Images
  13. Robust Communication and Computation using Deep Learning via Joint Uncertainty Injection
  14. VideoPhy: Evaluating Physical Commonsense for Video Generation
  15. Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning
  16. Buffered Asynchronous Secure Aggregation for Cross-Device Federated Learning
  17. Harder or Different? Understanding Generalization of Audio Deepfake Detection
  18. MagiNet: Mask-Aware Graph Imputation Network for Incomplete Traffic Data
  19. Speech-based Clinical Depression Screening: An Empirical Study
  20. Robust Prediction Model for Multidimensional and Unbalanced Datasets
  21. Grokking Modular Polynomials
  22. Solving Poisson Equations using Neural Walk-on-Spheres
  23. Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination Trends
  24. BIPED: Pedagogically Informed Tutoring System for ESL Education
  25. Highway Value Iteration Networks
  26. MODABS: Multi-Objective Learning for Dynamic Aspect-Based Summarization
  27. Convolutional Neural Networks and Vision Transformers for Fashion MNIST Classification: A Literature Review
  28. Does your data spark joy? Performance gains from domain upsampling at the end of training
  29. Solving Differential Equations using Physics-Informed Deep Equilibrium Models
  30. SpikeZIP-TF: Conversion is All You Need for Transformer-based SNN
  31. Gaussian Copula Models for Nonignorable Missing Data Using Auxiliary Marginal Quantiles
  32. Polarization Wavefront Lidar: Learning Large Scene Reconstruction from Polarized Wavefronts
  33. The PESQetarian: On the Relevance of Goodhart's Law for Speech Enhancement
  34. LW-DETR: A Transformer Replacement to YOLO for Real-Time Detection
  35. Distributional Adversarial Loss
  36. Using Synchronic Definitions and Semantic Relations to Classify Semantic Change Types
  37. What is the Best Way for ChatGPT to Translate Poetry?
  38. FILS: Self-Supervised Video Feature Prediction In Semantic Language Space
  39. Are language models rational? The case of coherence norms and belief revision
  40. CSI-GPT: Integrating Generative Pre-Trained Transformer with Federated-Tuning to Acquire Downlink Massive MIMO Channels
  41. Transfer Learning for Latent Variable Network Models
  42. CattleFace-RGBT: RGB-T Cattle Facial Landmark Benchmark
  43. HelloFresh: LLM Evaluations on Streams of Real-World Human Editorial Actions across X Community Notes and Wikipedia edits
  44. Post-hoc Part-prototype Networks
  45. CoFie: Learning Compact Neural Surface Representations with Coordinate Fields
  46. UnWave-Net: Unrolled Wavelet Network for Compton Tomography Image Reconstruction
  47. Interactive Text-to-Image Retrieval with Large Language Models: A Plug-and-Play Approach
  48. Methods for Class-Imbalanced Learning with Support Vector Machines: A Review and an Empirical Evaluation
  49. Automating Turkish Educational Quiz Generation Using Large Language Models
  50. Noisy Data Visualization using Functional Data Analysis
  51. Gaussian Primitives for Deformable Image Registration
  52. What Drives Online Popularity: Author, Content or Sharers? Estimating Spread Dynamics with Bayesian Mixture Hawkes
  53. SelfReDepth: Self-Supervised Real-Time Depth Restoration for Consumer-Grade Sensors
  54. Learning Long Range Dependencies on Graphs via Random Walks
  55. Training of Physical Neural Networks
  56. Posterior and variational inference for deep neural networks with heavy-tailed weights
  57. IrokoBench: A New Benchmark for African Languages in the Age of Large Language Models
  58. LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback
  59. What Matters in Hierarchical Search for Combinatorial Reasoning Problems?
  60. SuperFormer: Volumetric Transformer Architectures for MRI Super-Resolution
  61. Cooperative learning of Pl@ntNet's Artificial Intelligence algorithm: how does it work and how can we improve it?
  62. Position: A Call to Action for a Human-Centered AutoML Paradigm
  63. Normalizing Flows for Conformal Regression
  64. Feature contamination: Neural networks learn uncorrelated features and fail to generalize
  65. Tackling Copyright Issues in AI Image Generation Through Originality Estimation and Genericization
  66. The Challenges of Evaluating LLM Applications: An Analysis of Automated, Human, and LLM-Based Approaches
  67. Identifying latent state transition in non-linear dynamical systems
  68. Reparameterization invariance in approximate Bayesian inference
  69. A Flexible Recursive Network for Video Stereo Matching Based on Residual Estimation
  70. EngineBench: Flow Reconstruction in the Transparent Combustion Chamber III Optical Engine
  71. Comparative Benchmarking of Failure Detection Methods in Medical Image Segmentation: Unveiling the Role of Confidence Aggregation
  72. Reproducibility study of FairAC
  73. Learning Visual Prompts for Guiding the Attention of Vision Transformers
  74. The Good, the Bad, and the Hulk-like GPT: Analyzing Emotional Decisions of Large Language Models in Cooperation and Bargaining Games
  75. L-PR: Exploiting LiDAR Fiducial Marker for Unordered Low Overlap Multiview Point Cloud Registration
  76. Evaluating AI fairness in credit scoring with the BRIO tool
  77. Embarrassingly Parallel GFlowNets
  78. SpikeLM: Towards General Spike-Driven Language Modeling via Elastic Bi-Spiking Mechanisms
  79. CATCODER: Repository-Level Code Generation with Relevant Code and Type Context
  80. FusionBench: A Unified Library and Comprehensive Benchmark for Deep Model Fusion
  81. Using GNN property predictors as molecule generators
  82. Enhancing CTC-based speech recognition with diverse modeling units
  83. VWise: A novel benchmark for evaluating scene classification for vehicular applications
  84. Multi-Microphone Speech Emotion Recognition using the Hierarchical Token-semantic Audio Transformer Architecture
  85. Image Copy-Move Forgery Detection and Localization Scheme: How to Avoid Missed Detection and False Alarm
  86. No-Regret Algorithms for Safe Bayesian Optimization with Monotonicity Constraints
  87. Deep Generative Models for Proton Zero Degree Calorimeter Simulations in ALICE, CERN
  88. A Comprehensive Library for Benchmarking Multi-class Visual Anomaly Detection
  89. Feature learning in finite-width Bayesian deep linear networks with multiple outputs and convolutional layers
  90. Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
  91. On the Maximal Local Disparity of Fairness-Aware Classifiers
  92. Higher Order Structures For Graph Explanations
  93. ASoBO: Attentive Beamformer Selection for Distant Speaker Diarization in Meetings
  94. Prompt-based Visual Alignment for Zero-shot Policy Transfer
  95. Near-field Beam training for Extremely Large-scale MIMO Based on Deep Learning
  96. Large Language Models as Evaluators for Recommendation Explanations
  97. Reconfiguring Participatory Design to Resist AI Realism
  98. Variational Pseudo Marginal Methods for Jet Reconstruction in Particle Physics
  99. Generalized Source Tracing: Detecting Novel Audio Deepfake Algorithm with Real Emphasis and Fake Dispersion Strategy
  100. Document-level Claim Extraction and Decontextualisation for Fact-Checking
  101. Error-preserving Automatic Speech Recognition of Young English Learners' Language
  102. Defending Large Language Models Against Attacks With Residual Stream Activation Analysis
  103. Global Clipper: Enhancing Safety and Reliability of Transformer-based Object Detection Models
  104. Interactive Image Selection and Training for Brain Tumor Segmentation Network
  105. Linking Named Entities in Diderot's Encyclop'edie to Wikidata
  106. Choice of PEFT Technique in Continual Learning: Prompt Tuning is Not All You Need
  107. Inferring the time-varying coupling of dynamical systems with temporal convolutional autoencoders
  108. Challenges and Considerations in the Evaluation of Bayesian Causal Discovery
  109. Identification of Stone Deterioration Patterns with Large Multimodal Models
  110. Writing Order Recovery in Complex and Long Static Handwriting
  111. Graph Neural Network Explanations are Fragile
  112. Situation Monitor: Diversity-Driven Zero-Shot Out-of-Distribution Detection using Budding Ensemble Architecture for Object Detection
  113. Ouroboros3D: Image-to-3D Generation via 3D-aware Recursive Diffusion
  114. Geometric Localization of Homology Cycles
  115. Missci: Reconstructing Fallacies in Misrepresented Science
  116. FAPNet: An Effective Frequency Adaptive Point-based Eye Tracker
  117. MMCL: Correcting Content Query Distributions for Improved Anti-Overlapping X-Ray Object Detection
  118. Initialization-enhanced Physics-Informed Neural Network with Domain Decomposition (IDPINN)
  119. High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
  120. StatBot.Swiss: Bilingual Open Data Exploration in Natural Language
  121. Topological Neural Networks go Persistent, Equivariant, and Continuous
  122. Ethical considerations of use of hold-out sets in clinical prediction model management
  123. CSS: Contrastive Semantic Similarity for Uncertainty Quantification of LLMs
  124. A Combination Model Based on Sequential General Variational Mode Decomposition Method for Time Series Prediction
  125. Detecting Model Misspecification in Amortized Bayesian Inference with Neural Networks: An Extended Investigation
  126. Dynamic Spectral Clustering with Provable Approximation Guarantee
  127. Which Side Are You On? A Multi-task Dataset for End-to-End Argument Summarisation and Evaluation
  128. Sample-specific Masks for Visual Reprogramming-based Prompting
  129. Aligning Transformers with Weisfeiler-Leman
  130. E(n) Equivariant Message Passing Cellular Networks
  131. A Combination Model for Time Series Prediction using LSTM via Extracting Dynamic Features Based on Spatial Smoothing and Sequential General Variational Mode Decomposition
  132. ZeroPur: Succinct Training-Free Adversarial Purification
  133. On the Power of Randomization in Fair Classification and Representation
  134. Floating Anchor Diffusion Model for Multi-motif Scaffolding
  135. Computational Limits of Low-Rank Adaptation (LoRA) Fine-Tuning for Transformer Models
  136. Ordinal Mixed-Effects Random Forest
  137. Enhanced Automotive Object Detection via RGB-D Fusion in a DiffusionDet Framework
  138. Towards Real-world Scenario: Imbalanced New Intent Discovery
  139. Space Decomposition for Sentence Embedding
  140. MESS: Modern Electronic Structure Simulations
  141. RevRIR: Joint Reverberant Speech and Room Impulse Response Embedding using Contrastive Learning with Application to Room Shape Classification
  142. VQUNet: Vector Quantization U-Net for Defending Adversarial Atacks by Regularizing Unwanted Noise
  143. Enhancing 3D Lane Detection and Topology Reasoning with 2D Lane Priors
  144. EpidermaQuant: Unsupervised detection and quantification of epidermal differentiation markers on H-DAB-stained images of reconstructed human epidermis
  145. Supplementary Materials to Graph Convolutional Branch and Bound
  146. Enhancing the Resilience of Graph Neural Networks to Topological Perturbations in Sparse Graphs
  147. EgoSurgery-Tool: A Dataset of Surgical Tool and Hand Detection from Egocentric Open Surgery Videos
  148. FragRel: Exploiting Fragment-level Relations in the External Memory of Large Language Models
  149. Improving Plan Execution Flexibility using Block-Substitution
  150. HASS: Hardware-Aware Sparsity Search for Dataflow DNN Accelerator
  151. Lossless Image Compression Using Multi-level Dictionaries: Binary Images
  152. Task-Oriented Wireless Communications for Collaborative Perception in Intelligent Unmanned Systems
  153. Exploring User Retrieval Integration towards Large Language Models for Cross-Domain Sequential Recommendation
  154. Learning Solutions of Stochastic Optimization Problems with Bayesian Neural Networks
  155. Cryptocurrency Frauds for Dummies: How ChatGPT introduces us to fraud?
  156. Local to Global: Learning Dynamics and Effect of Initialization for Transformers
  157. A-Bench: Are LMMs Masters at Evaluating AI-generated Images?
  158. RadBARTsum: Domain Specific Adaption of Denoising Sequence-to-Sequence Models for Abstractive Radiology Report Summarization
  159. Predicting unobserved climate time series data at distant areas via spatial correlation using reservoir computing
  160. Efficient Exploration of the Rashomon Set of Rule Set Models
  161. BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges
  162. Are Your Models Still Fair? Fairness Attacks on Graph Neural Networks via Node Injections
  163. Adapter-X: A Novel General Parameter-Efficient Fine-Tuning Framework for Vision
  164. StreamSpeech: Simultaneous Speech-to-Speech Translation with Multi-task Learning
  165. Giving each task what it needs -- leveraging structured sparsity for tailored multi-task learning
  166. Population Transformer: Learning Population-level Representations of Neural Activity
  167. Towards Multiple Character Image Animation Through Enhancing Implicit Decoupling
  168. Optimal Multi-Fidelity Best-Arm Identification
  169. Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning
  170. From Tarzan to Tolkien: Controlling the Language Proficiency Level of LLMs for Content Generation
  171. Puzzle Pieces Picker: Deciphering Ancient Chinese Characters with Radical Reconstruction
  172. DifAttack++: Query-Efficient Black-Box Adversarial Attack via Hierarchical Disentangled Feature Space in Cross-Domain
  173. Balancing Performance and Efficiency in Zero-shot Robotic Navigation
  174. Towards Understanding the Influence of Training Samples on Explanations
  175. Unveiling Selection Biases: Exploring Order and Token Sensitivity in Large Language Models
  176. Quantum Algorithms and Lower Bounds for Finite-Sum Optimization
  177. Evaluation of data inconsistency for multi-modal sentiment analysis
  178. EdgeSync: Faster Edge-model Updating via Adaptive Continuous Learning for Video Data Drift
  179. Simplification of Risk Averse POMDPs with Performance Guarantees
  180. Residual Connections and Normalization Can Provably Prevent Oversmoothing in GNNs
  181. Quantifying Task Priority for Multi-Task Optimization
  182. A Human-Annotated Video Dataset for Training and Evaluation of 360-Degree Video Summarization Methods
  183. Predicting Genetic Mutation from Whole Slide Images via Biomedical-Linguistic Knowledge Enhanced Multi-label Classification
  184. Learning Semantic Traversability with Egocentric Video and Automated Annotation Strategy
  185. FREA: Feasibility-Guided Generation of Safety-Critical Scenarios with Reasonable Adversariality
  186. Local vs. Global Interpretability: A Computational Complexity Perspective
  187. Tensor Polynomial Additive Model
  188. Efficient User Sequence Learning for Online Services via Compressed Graph Neural Networks
  189. Self-Supervised Skeleton-Based Action Representation Learning: A Benchmark and Beyond
  190. Sparse Color-Code Net: Real-Time RGB-Based 6D Object Pose Estimation on Edge Devices
  191. DA-Flow: Dual Attention Normalizing Flow for Skeleton-based Video Anomaly Detection
  192. Readability-guided Idiom-aware Sentence Simplification (RISS) for Chinese
  193. Event3DGS: Event-Based 3D Gaussian Splatting for High-Speed Robot Egomotion
  194. Which exceptional low-dimensional projections of a Gaussian point cloud can be found in polynomial time?
  195. GSGAN: Adversarial Learning for Hierarchical Generation of 3D Gaussian Splats
  196. Generative AI and Power Imbalances in Global Education: Frameworks for Bias Mitigation
  197. Docs2KG: Unified Knowledge Graph Construction from Heterogeneous Documents Assisted by Large Language Models
  198. PrE-Text: Training Language Models on Private Federated Data in the Age of LLMs
  199. GraphAlign: Pretraining One Graph Neural Network on Multiple Graphs via Feature Alignment
  200. AVFF: Audio-Visual Feature Fusion for Video Deepfake Detection
  201. Joint Beam Search Integrating CTC, Attention, and Transducer Decoders
  202. The Task-oriented Queries Benchmark (ToQB)
  203. Achieving Near-Optimal Convergence for Distributed Minimax Optimization with Adaptive Stepsizes
  204. Radiomics-guided Multimodal Self-attention Network for Predicting Pathological Complete Response in Breast MRI
  205. P2PFormer: A Primitive-to-polygon Method for Regular Building Contour Extraction from Remote Sensing Images
  206. ZeroDiff: Solidified Visual-Semantic Correlation in Zero-Shot Learning
  207. Multivariate Physics-Informed Convolutional Autoencoder for Anomaly Detection in Power Distribution Systems with High Penetration of DERs
  208. Task Arithmetic can Mitigate Synthetic-to-Real Gap in Automatic Speech Recognition
  209. Pruner-Zero: Evolving Symbolic Pruning Metric from scratch for Large Language Models
  210. Text Injection for Neural Contextual Biasing
  211. MultifacetEval: Multifaceted Evaluation to Probe LLMs in Mastering Medical Knowledge
  212. U-KAN Makes Strong Backbone for Medical Image Segmentation and Generation
  213. A comprehensive and FAIR comparison between MLP and KAN representations for differential equations and operator networks
  214. A Self-Supervised Denoising Strategy for Underwater Acoustic Camera Imageries
  215. Zeroth-Order Fine-Tuning of LLMs with Extreme Sparsity
  216. Improving In-Context Learning with Prediction Feedback for Sentiment Analysis
  217. Open Grounded Planning: Challenges and Benchmark Construction
  218. S2GSL: Incorporating Segment to Syntactic Enhanced Graph Structure Learning for Aspect-based Sentiment Analysis
  219. Language Model Can Do Knowledge Tracing: Simple but Effective Method to Integrate Language Model and Knowledge Tracing Task
  220. A Bi-metric Framework for Fast Similarity Search
  221. Representation Learning For Efficient Deep Multi-Agent Reinforcement Learning
  222. Language-guided Detection and Mitigation of Unknown Dataset Bias
  223. HYDRA: Model Factorization Framework for Black-Box LLM Personalization
  224. PosterLLaVa: Constructing a Unified Multi-modal Layout Generator with LLM
  225. Nonlinear Transformations Against Unlearnable Datasets
  226. Outdated Issue Aware Decoding for Reasoning Questions on Edited Knowledge
  227. Inv-Adapter: ID Customization Generation via Image Inversion and Lightweight Adapter
  228. Controllable Talking Face Generation by Implicit Facial Keypoints Editing
  229. Second-order differential operators, stochastic differential equations and Brownian motions on embedded manifolds
  230. FedStaleWeight: Buffered Asynchronous Federated Learning with Fair Aggregation via Staleness Reweighting
  231. LCS: A Language Converter Strategy for Zero-Shot Neural Machine Translation
  232. Leveraging KANs For Enhanced Deep Koopman Operator Discovery
  233. Prediction-powered Generalization of Causal Inferences
  234. Combinatorial Optimization with Automated Graph Neural Networks
  235. Sound Heuristic Search Value Iteration for Undiscounted POMDPs with Reachability Objectives
  236. Oscillations enhance time-series prediction in reservoir computing with feedback
  237. LLM as a Scorer: The Impact of Output Order on Dialogue Evaluation
  238. Rethinking Guidance Information to Utilize Unlabeled Samples:A Label Encoding Perspective
  239. Xmodel-LM Technical Report
  240. Exact Conversion of In-Context Learning to Model Weights in Linearized-Attention Transformers
  241. Item-Language Model for Conversational Recommendation
  242. DiffCut: Catalyzing Zero-Shot Semantic Segmentation with Diffusion Features and Recursive Normalized Cut
  243. Conditional Idempotent Generative Networks
  244. You Only Accept Samples Once: Fast, Self-Correcting Stochastic Variational Inference
  245. DREW : Towards Robust Data Provenance by Leveraging Error-Controlled Watermarking
  246. DenoDet: Attention as Deformable Multi-Subspace Feature Denoising for Target Detection in SAR Images
  247. Efficient Minimum Bayes Risk Decoding using Low-Rank Matrix Completion Algorithms
  248. Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection
  249. Too Big to Fail: Larger Language Models are Disproportionately Resilient to Induction of Dementia-Related Linguistic Anomalies
  250. Exploring Robustness in Doctor-Patient Conversation Summarization: An Analysis of Out-of-Domain SOAP Notes