mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 10 Jun 2024

313 papers

  1. Compositional Video Generation as Flow EqualizationDiffusion models → Video generation
  2. The Impact of Quantization on Retrieval-Augmented Generation: An Analysis of Small LLMsRetrieval-augmented generation → RAG pipeline design and evaluation
  3. BrainChat: Decoding Semantic Information from fMRI using Vision-language Pretrained ModelsMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  4. A Survey of Recent Backdoor Attacks and Defenses in Large Language ModelsLLM safety and security → Backdoor and data poisoning attacks
  5. An LLM-Assisted Easy-to-Trigger Backdoor Attack on Code Completion Models: Injecting Disguised Vulnerabilities against Strong DetectionLLM safety and security → Backdoor and data poisoning attacks
  6. LLM-dCache: Improving Tool-Augmented LLMs with GPT-Driven Localized Data CachingLLM agents and tool use → Software engineering coding agents
  7. PlanDQ: Hierarchical Plan Orchestration via D-Conductor and Q-PerformerOffline RL and imitation learning from data → Diffusion and flow policies for offline RL
  8. Complexity-Aware Deep Symbolic Regression with Robust Risk-Seeking Policy GradientsDeep reinforcement learning methods → Interpretable and logic-guided RL
  9. TRINS: Towards Multimodal Language Models that Can ReadMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  10. Coprocessor Actor Critic: A Model-Based Reinforcement Learning Approach For Adaptive Brain StimulationDeep reinforcement learning methods → Deep RL algorithms and representations
  11. NaRCan: Natural Refined Canonical Image with Integration of Diffusion Prior for Video EditingDiffusion models → Video generation
  12. Merlin: A Computed Tomography Vision-Language Foundation Model and DatasetMultimodal LLMs / vision-language models → Medical vision-language models
  13. Monkey See, Monkey Do: Harnessing Self-attention in Motion Diffusion for Zero-shot Motion TransferDiffusion models → Video generation
  14. Verification-Guided Shielding for Deep Reinforcement LearningDeep reinforcement learning methods → Safe and constrained RL
  15. Direct Preference Optimization for Suppressing Hallucinated Prior Exams in Radiology Report GenerationMultimodal LLMs / vision-language models → Medical vision-language models +1
  16. Boosting Robustness in Preference-Based Reinforcement Learning with Dynamic SparsityDeep reinforcement learning methods → RL training of language and agent models
  17. Husky: A Unified, Open-Source Language Agent for Multi-Step ReasoningLLM agents and tool use → General LLM agent frameworks and benchmarks
  18. AID: Adapting Image2Video Diffusion Models for Instruction-guided Video PredictionDiffusion models → Video generation
  19. Transforming Wearable Data into Personal Health Insights using Large Language Model AgentsLLM reasoning → Clinical and biomedical applications +1
  20. VCR: A Task for Pixel-Level Complex Reasoning in Vision Language Models via Restoring Occluded TextLLM reasoning → Multimodal reasoning +1
  21. Reasoning in Token Economies: Budget-Aware Evaluation of LLM Reasoning StrategiesLLM reasoning → Test-time compute and efficient thinking
  22. Towards Real-World Efficiency: Domain Randomization in Reinforcement Learning for Pre-Capture of Free-Floating Moving Targets by Autonomous RobotsDeep reinforcement learning methods → RL for robot locomotion and manipulation
  23. How Useful is Intermittent, Asynchronous Expert Feedback for Bayesian Optimization?LLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  24. Cometh: A continuous-time discrete-state graph diffusion modelDiffusion models → Flow matching, time series and science
  25. LLM Dataset Inference: Did you train on my dataset?LLM safety and security → Membership inference attacks
  26. Interpretability of Language Models via Task SpacesMechanistic interpretability → Knowledge and representations inside LLMs
  27. Margin-aware Preference Optimization for Aligning Diffusion Models without ReferenceDiffusion models → Diffusion and flow policies for robotics +1
  28. Diffusion-RPO: Aligning Diffusion Models through Relative Preference OptimizationDiffusion models → Diffusion and flow policies for robotics +1
  29. Improving Deep Learning-based Automatic Cranial Defect Reconstruction by Heavy Data Augmentation: From Image Registration to Latent Diffusion ModelsDiffusion models → Medical imaging and segmentation
  30. UMAD: Unsupervised Mask-Level Anomaly Detection for Autonomous DrivingEnd-to-end autonomous driving → VLMs for autonomous driving
  31. MVGamba: Unify 3D Content Generation as State Space Sequence ModelingDiffusion models → 3D, point cloud and scene generation
  32. Is Value Functions Estimation with Classification Plug-and-play for Offline Reinforcement Learning?Offline RL and imitation learning from data → Offline RL algorithms
  33. Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak AttacksLLM safety and security → Jailbreaking
  34. DualAD: Disentangling the Dynamic and Static World for End-to-End DrivingEnd-to-end autonomous driving → End-to-end system architecture
  35. Tuning-Free Visual Customization via View Iterative Self-Attention ControlDiffusion models → Image generation, text-to-image and editing
  36. Data Augmentation in Earth Observation: A Diffusion Model ApproachDiffusion models → Inverse problems and image restoration
  37. LINGOLY: A Benchmark of Olympiad-Level Linguistic Reasoning Puzzles in Low-Resource and Extinct LanguagesLLM reasoning → Reasoning benchmarks and evaluation
  38. A Survey on Machine Unlearning: Techniques and New Emerged Privacy RisksLLM safety and security → Machine unlearning
  39. Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance OptimizationDeep reinforcement learning methods → RL for energy, networks and operations
  40. The Effect of Training Dataset Size on Discriminative and Diffusion-Based Speech Enhancement SystemsDiffusion models → Audio, speech and music
  41. Thunder : Unified Regression-Diffusion Speech Enhancement with a Single Reverse Step using Brownian BridgeDiffusion models → Audio, speech and music
  42. DiffInject: Revisiting Debias via Synthetic Data Generation using Diffusion-based Style InjectionDiffusion models → Image generation, text-to-image and editing
  43. ExtraNeRF: Visibility-Aware View Extrapolation of Neural Radiance Fields with Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  44. Enhancing Long-Term Memory using Hierarchical Aggregate Tree for Retrieval Augmented GenerationRetrieval-augmented generation → Conversational and speech RAG
  45. Recurrent Context Compression: Efficiently Expanding the Context Window of LLMEfficient LLM inference and serving → Prompt and context compression
  46. EXPIL: Explanatory Predicate Invention for Learning in GamesDeep reinforcement learning methods → Interpretable and logic-guided RL
  47. Sim-To-Real Transfer for Visual Reinforcement Learning of Deformable Object Manipulation for Robot-Assisted SurgeryDeep reinforcement learning methods → RL for robot locomotion and manipulation
  48. RawBMamba: End-to-End Bidirectional State Space Model for Audio Deepfake DetectionState-space sequence models (S4, Mamba) → Speech and audio SSMs
  49. Latent Representation Matters: Human-like Sketches in One-shot Drawing TasksDiffusion models → Image generation, text-to-image and editing
  50. PointABM:Integrating Bidirectional State Space Model with Multi-Head Self-Attention for Point Cloud AnalysisState-space sequence models (S4, Mamba) → Point clouds, detection and remote sensing
  51. Synth-SBDH: A Synthetic Dataset of Social and Behavioral Determinants of Health for Clinical TextSynthetic data and self-improvement for LLMs → Medical synthetic data and agents
  52. Synthesizing Efficient Data with Diffusion Models for Person Re-Identification Pre-TrainingDiffusion models → Image generation, text-to-image and editing
  53. Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  54. CARES: A Comprehensive Benchmark of Trustworthiness in Medical Vision Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models
  55. FLEUR: An Explainable Reference-Free Evaluation Metric for Image Captioning Using a Large Multimodal ModelMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  56. Discovering Multiple Solutions from a Single Task in Offline Reinforcement LearningOffline RL and imitation learning from data → Offline RL algorithms
  57. MHS-VM: Multi-Head Scanning in Parallel Subspaces for Vision MambaState-space sequence models (S4, Mamba) → Vision Mamba backbones
  58. Prompting Large Language Models with Audio for General-Purpose Speech SummarizationLLM reasoning → Audio-language model reasoning
  59. CVQA: Culturally-diverse Multilingual Visual Question Answering BenchmarkMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  60. Solution for SMART-101 Challenge of CVPR Multi-modal Algorithmic Reasoning Task 2024LLM reasoning → Multimodal reasoning
  61. Turbo Sparse: Achieving LLM SOTA Performance with Minimal Activated ParametersMixture-of-experts → MoE large language models
  62. Aligning Large Language Models with Representation Editing: A Control PerspectiveLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  63. Decoupling regularization from the action spaceDeep reinforcement learning methods → RL theory and sample complexity
  64. Chain-of-Scrutiny: Detecting Backdoor Attacks for Large Language ModelsLLM safety and security → Backdoor and data poisoning attacks
  65. Safety Alignment Should Be Made More Than Just a Few Tokens DeepLLM alignment / RLHF / preference optimisation → Safety alignment and jailbreak attacks +1
  66. Real-Time Automated donning and doffing detection of PPE based on Yolov4-tiny
  67. Beyond Trend Following: Deep Learning for Market Trend Prediction
  68. Spectral-Stimulus Information for Self-Supervised Stimulus Encoding
  69. Data-driven Power Flow Linearization: Theory
  70. JavaBench: A Benchmark of Object-Oriented Code Generation for Evaluating Large Language Models
  71. Optimal synthesis embeddings
  72. Curating Grounded Synthetic Data with Global Perspectives for Equitable AI
  73. Explicit Word Density Estimation for Language Modelling
  74. WarCov -- Large multilabel and multimodal dataset from social platform
  75. Towards Signal Processing In Large Language Models
  76. D'eveloppement automatique de lexiques pour les concepts 'emergents : une exploration m'ethodologique
  77. AutoSurvey: Large Language Models Can Automatically Write Surveys
  78. Efficiently Deciding Algebraic Equivalence of Bow-Free Acyclic Path Diagrams
  79. Central Limit Theorem for Bayesian Neural Network trained with Variational Inference
  80. SciRIFF: A Resource to Enhance Language Model Instruction-Following over Scientific Literature
  81. Rate-Preserving Reductions for Blackwell Approachability
  82. Situated Ground Truths: Enhancing Bias-Aware AI by Situating Data Labels with SituAnnotate
  83. Synthetic Face Ageing: Evaluation, Analysis and Facilitation of Age-Robust Facial Recognition Algorithms
  84. Flexible Parametric Inference for Space-Time Hawkes Processes
  85. Taxes Are All You Need: Integration of Taxonomical Hierarchy Relationships into the Contrastive Loss
  86. Generalized W-Net: Arbitrary-style Chinese Character Synthesization
  87. HO-Cap: A Capture System and Dataset for 3D Reconstruction and Pose Tracking of Hand-Object Interaction
  88. CompassDock: Comprehensive Accurate Assessment Approach for Deep Learning-Based Molecular Docking in Inference and Fine-Tuning
  89. Silent Signals, Loud Impact: LLMs for Word-Sense Disambiguation of Coded Dog Whistles
  90. EAVE: Efficient Product Attribute Value Extraction via Lightweight Sparse-layer Interaction
  91. Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes
  92. A Dynamic Likelihood Approach to Filtering for Advection-Diffusion Dynamics
  93. Personalized Binomial DAGs Learning with Network Structured Covariates
  94. A local squared Wasserstein-2 method for efficient reconstruction of models with uncertainty
  95. Locally Interdependent Multi-Agent MDP: Theoretical Framework for Decentralized Agents with Dynamic Dependencies
  96. Adapters Strike Back
  97. Conformal Prediction for Class-wise Coverage via Augmented Label Rank Calibration
  98. Stable Neighbor Denoising for Source-free Domain Adaptive Segmentation
  99. On Learning what to Learn: heterogeneous observations of dynamics and establishing (possibly causal) relations among them
  100. Learning Continually by Spectral Regularization
All 313
  1. AGB-DE: A Corpus for the Automated Legal Assessment of Clauses in German Consumer Contracts
  2. Fast White-Box Adversarial Streaming Without a Random Oracle
  3. Satisficing Regret Minimization in Bandits: Constant Rate and Light-Tailed Distribution
  4. FlexLoc: Conditional Neural Networks for Zero-Shot Sensor Perspective Invariance in Object Localization with Distributed Multimodal Sensors
  5. Reinforced Compressive Neural Architecture Search for Versatile Adversarial Robustness
  6. BTS: Bridging Text and Sound Modalities for Metadata-Aided Respiratory Sound Classification
  7. MolX: Enhancing Large Language Models for Molecular Understanding With A Multi-Modal Extension
  8. SeeFar: Satellite Agnostic Multi-Resolution Dataset for Geospatial Foundation Models
  9. Evaluating Zero-Shot Long-Context LLM Compression
  10. DISCOVERYWORLD: A Virtual Environment for Developing and Evaluating Automated Scientific Discovery Agents
  11. Data-Driven Switchback Experiments: Theoretical Tradeoffs and Empirical Bayes Designs
  12. Classi|Qrangle Towards a Translation Framework To Bridge The Classical-Quantum Programming Gap
  13. Optimal Federated Learning for Nonparametric Regression with Heterogeneous Distributed Differential Privacy Constraints
  14. Federated Nonparametric Hypothesis Testing with Differential Privacy Constraints: Optimal Rates and Adaptive Tests
  15. Multi-Objective Neural Architecture Search for In-Memory Computing
  16. A Multi-module Robust Method for Transient Stability Assessment against False Label Injection Cyberattacks
  17. An Elliptic Kernel Unsupervised Autoencoder-Graph Convolutional Network Ensemble Model for Hyperspectral Unmixing
  18. Scaling the Vocabulary of Non-autoregressive Models for Efficient Generative Retrieval
  19. Raccoon: Prompt Extraction Benchmark of LLM-Integrated Applications
  20. Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges
  21. Synthetic Query Generation using Large Language Models for Virtual Assistants
  22. AI-Driven Predictive Analytics Approach for Early Prognosis of Chronic Kidney Disease Using Ensemble Learning and Explainable AI
  23. Leveraging Large Language Models for Knowledge-free Weak Supervision in Clinical Natural Language Processing
  24. Video-based Exercise Classification and Activated Muscle Group Prediction with Hybrid X3D-SlowFast Network
  25. Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics
  26. In-Context Learning and Fine-Tuning GPT for Argument Mining
  27. PatchRefiner: Leveraging Synthetic Data for Real-Domain High-Resolution Monocular Metric Depth Estimation
  28. Controlling Counterfactual Harm in Decision Support Systems Based on Prediction Sets
  29. Enrolment-based personalisation for improving individual-level fairness in speech emotion recognition
  30. ASTRA: Aligning Speech and Text Representations for Asr without Sampling
  31. SecureNet: A Comparative Study of DeBERTa and Large Language Models for Phishing Detection
  32. Proximity Matters: Analyzing the Role of Geographical Proximity in Shaping AI Research Collaborations
  33. Space-Time Continuous PDE Forecasting using Equivariant Neural Fields
  34. Link Prediction in Bipartite Networks
  35. Harnessing AI for efficient analysis of complex policy documents: a case study of Executive Order 14110
  36. Fed-Sophia: A Communication-Efficient Second-Order Federated Learning Algorithm
  37. Training and Validating a Treatment Recommender with Partial Verification Evidence
  38. DKDL-Net: A Lightweight Bearing Fault Detection Model via Decoupled Knowledge Distillation and Low-Rank Adaptation Fine-tuning
  39. Improving Generalization of Neural Vehicle Routing Problem Solvers Through the Lens of Model Architecture
  40. Short-Term Electricity Demand Forecasting of Dhaka City Using CNN with Stacked BiLSTM
  41. Assessing the risk of recurrence in early-stage breast cancer through H&E stained whole slide images
  42. 2DQuant: Low-bit Post-Training Quantization for Image Super-Resolution
  43. SignBLEU: Automatic Evaluation of Multi-channel Sign Language Translation
  44. How Efficient is LLM-Generated Code? A Rigorous & High-Standard Benchmark
  45. Network-Based Transfer Learning Helps Improve Short-Term Crime Prediction Accuracy
  46. IllumiNeRF: 3D Relighting Without Inverse Rendering
  47. Generative Gaussian Splatting for Unbounded 3D City Generation
  48. Autoregressive Model Beats Diffusion: Llama for Scalable Image Generation
  49. PGSR: Planar-based Gaussian Splatting for Efficient and High-Fidelity Surface Reconstruction
  50. Decentralized Personalized Federated Learning
  51. Data Augmentation for Multivariate Time Series Classification: An Experimental Study
  52. Genomics-guided Representation Learning for Pathologic Pan-cancer Tumor Microenvironment Subtype Prediction
  53. Distribution-Free Predictive Inference under Unknown Temporal Drift
  54. Random Features Approximation for Control-Affine Systems
  55. Robust Distribution Learning with Local and Global Adversarial Corruptions
  56. Online Newton Method for Bandit Convex Optimisation
  57. Equivariant Neural Tangent Kernels
  58. Adaptive Opponent Policy Detection in Multi-Agent MDPs: Real-Time Strategy Switch Identification Using Running Error Estimation
  59. NarrativeBridge: Enhancing Video Captioning with Causal-Temporal Narrative
  60. Scaling Continuous Latent Variable Models as Probabilistic Integral Circuits
  61. When is Multicalibration Post-Processing Necessary?
  62. Continuum Attention for Neural Operators
  63. Can Language Models Serve as Text-Based World Simulators?
  64. Parallelizing Linear Transformers with the Delta Rule over Sequence Length
  65. Quantum Equilibrium Propagation for efficient training of quantum systems based on Onsager reciprocity
  66. Graph-Based Bidirectional Transformer Decision Threshold Adjustment Algorithm for Class-Imbalanced Molecular Data
  67. Survey for Landing Generative AI in Social and E-commerce Recsys -- the Industry Perspectives
  68. Towards a Personal Health Large Language Model
  69. GKAN: Graph Kolmogorov-Arnold Networks
  70. How Far Can Transformers Reason? The Globality Barrier and Inductive Scratchpad
  71. Evaluating the Retrieval Component in LLM-Based Question Answering Systems
  72. A Large Language Model Pipeline for Breast Cancer Oncology
  73. Estimating Heterogeneous Treatment Effects by Combining Weak Instruments and Observational Data
  74. Insights from Social Shaping Theory: The Appropriation of Large Language Models in an Undergraduate Programming Course
  75. Deep Generative Modeling Reshapes Compression and Transmission: From Efficiency to Resiliency
  76. Multimodal Contextualized Semantic Parsing from Speech
  77. Language Models are Alignable Decision-Makers: Dataset and Application to the Medical Triage Domain
  78. Spatiotemporal Graph Neural Network Modelling Perfusion MRI
  79. DISCO: An End-to-End Bandit Framework for Personalised Discount Allocation
  80. SYM3D: Learning Symmetric Triplanes for Better 3D-Awareness of GANs
  81. Multivariate Stochastic Dominance via Optimal Transport and Applications to Models Benchmarking
  82. Hybrid Video Anomaly Detection for Anomalous Scenarios in Autonomous Driving
  83. An Improved Empirical Fisher Approximation for Natural Gradient Descent
  84. Foundation Inference Models for Markov Jump Processes
  85. Explainable Graph Neural Networks Under Fire
  86. Differentially Private Best-Arm Identification
  87. A Taxonomy of Challenges to Curating Fair Datasets
  88. Controlling Emotion in Text-to-Speech with Natural Language Prompts
  89. Meta Learning Text-to-Speech Synthesis in over 7000 Languages
  90. INTERSPEECH 2009 Emotion Challenge Revisited: Benchmarking 15 Years of Progress in Speech Emotion Recognition
  91. An Empirical Design Justice Approach to Identifying Ethical Considerations in the Intersection of Large Language Models and Social Robotics
  92. Should We Fine-Tune or RAG? Evaluating Different Techniques to Adapt LLMs for Dialogue
  93. Contrastive learning of T cell receptor representations
  94. STimage-1K4M: A histopathology image-gene expression dataset for spatial transcriptomics
  95. Towards Lifelong Learning of Large Language Models: A Survey
  96. FPN-IAIA-BL: A Multi-Scale Interpretable Deep Learning Model for Classification of Mass Margins in Digital Mammography
  97. Low-Rank Quantization-Aware Training for LLMs
  98. Generalizing to Unseen Domains in Diabetic Retinopathy with Disentangled Representations
  99. MOSA: Music Motion with Semantic Annotation Dataset for Cross-Modal Music Processing
  100. Multicam-SLAM: Non-overlapping Multi-camera SLAM for Indirect Visual Localization and Navigation
  101. mHuBERT-147: A Compact Multilingual HuBERT Model
  102. Annotation alignment: Comparing LLM and human annotations of conversational safety
  103. Symmetric Dot-Product Attention for Efficient Training of BERT Language Models
  104. Automating Food Drop: The Power of Two Choices for Dynamic and Fair Food Allocation
  105. MASSW: A New Dataset and Benchmark Tasks for AI-Assisted Scientific Workflows
  106. Re.Dis.Cover Place with Generative AI: Exploring the Experience and Design of City Wandering with Image-to-Image AI
  107. Sustained Vowels for Pre- vs Post-Treatment COPD Classification
  108. On the Minimal Degree Bias in Generalization on the Unseen for non-Boolean Functions
  109. Latent Directions: A Simple Pathway to Bias Mitigation in Generative AI
  110. Cascading Unknown Detection with Known Classification for Open Set Recognition
  111. Error Analysis and Numerical Algorithm for PDE Approximation with Hidden-Layer Concatenated Physics Informed Neural Networks
  112. Causal Discovery over High-Dimensional Structured Hypothesis Spaces with Causal Graph Partitioning
  113. A Guide to Stochastic Optimisation for Large-Scale Inverse Problems
  114. Predicting Heart Activity from Speech using Data-driven and Knowledge-based features
  115. Optimisation of federated learning settings under statistical heterogeneity variations
  116. MedExQA: Medical Question Answering Benchmark with Multiple Explanations
  117. A Parameter-efficient Language Extension Framework for Multilingual ASR
  118. Self-Tuning: Instructing LLMs to Effectively Acquire New Knowledge through Self-Teaching
  119. Vehicle Vectors and Traffic Patterns from Planet Imagery
  120. Tx-LLM: A Large Language Model for Therapeutics
  121. ProAct: Progressive Training for Hybrid Clipped Activation Function to Enhance Resilience of DNNs
  122. Building Continuous Quantum-Classical Bayesian Neural Networks for a Classical Clinical Dataset
  123. NeuroMoCo: A Neuromorphic Momentum Contrast Learning Method for Spiking Neural Networks
  124. Geometric sparsification in recurrent neural networks
  125. VS-PINN: A fast and efficient training of physics-informed neural networks using variable-scaling methods for solving PDEs with stiff behavior
  126. PowerInfer-2: Fast Large Language Model Inference on a Smartphone
  127. Multi-Prompting Decoder Helps Better Language Understanding
  128. MaskLID: Code-Switching Language Identification through Iterative Masking
  129. Modular Growth of Hierarchical Networks: Efficient, General, and Robust Curriculum Learning
  130. Combining Embeddings and Domain Knowledge for Job Posting Duplicate Detection
  131. Learning Fine-Grained Controllability on Speech Generation via Efficient Fine-Tuning
  132. Compute Better Spent: Replacing Dense Layers with Structured Matrices
  133. Data-Efficient Learning with Neural Programs
  134. I-MPN: Inductive Message Passing Network for Efficient Human-in-the-Loop Annotation of Mobile Eye Tracking Data
  135. Efficient Neural Compression with Inference-time Decoding
  136. UnSupDLA: Towards Unsupervised Document Layout Analysis
  137. UEMM-Air: Make Unmanned Aerial Vehicles Perform More Multi-modal Tasks
  138. PAC-Bayes Analysis for Recalibration in Classification
  139. Siren -- Advancing Cybersecurity through Deception and Adaptive Analysis
  140. Label-Looping: Highly Efficient Decoding for Transducers
  141. Lighting Every Darkness with 3DGS: Fast Training and Real-Time Rendering for HDR View Synthesis
  142. A Statistical Theory of Regularization-Based Continual Learning
  143. iMotion-LLM: Instruction-Conditioned Trajectory Generation
  144. Quantum Architecture Search: A Survey
  145. Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning
  146. Federated learning in food research
  147. 2DP-2MRC: 2-Dimensional Pointer-based Machine Reading Comprehension Method for Multimodal Moment Retrieval
  148. Implications for Governance in Public Perceptions of Societal-scale AI Risks
  149. AI Cat Narrator: Designing an AI Tool for Exploring the Shared World and Social Connection with a Cat
  150. An Effective-Efficient Approach for Dense Multi-Label Action Detection
  151. EARS: An Anechoic Fullband Speech Dataset Benchmarked for Speech Enhancement and Dereverberation
  152. Black carbon plumes from gas flaring in North Africa identified from multi-spectral imagery with deep learning
  153. Topological Analysis for Detecting Anomalies (TADA) in Time Series
  154. Generalized Nested Latent Variable Models for Lossy Coding applied to Wind Turbine Scenarios
  155. Extending Segment Anything Model into Auditory and Temporal Dimensions for Audio-Visual Segmentation
  156. Get rich quick: exact solutions reveal how unbalanced initializations promote rapid feature learning
  157. Physics-Informed Bayesian Optimization of Variational Quantum Circuits
  158. Decoupled Marked Temporal Point Process using Neural Ordinary Differential Equations
  159. Language Models Resist Alignment: Evidence From Data Compression
  160. Can I understand what I create? Self-Knowledge Evaluation of Large Language Models
  161. A Comparative Survey of Vision Transformers for Feature Extraction in Texture Analysis
  162. Building Bridges: A Dataset for Evaluating Gender-Fair Machine Translation into German
  163. Comparing Data Augmentation Methods for End-to-End Task-Oriented Dialog Systems
  164. Verifiable Generation with Subsentence-Level Fine-Grained Citations
  165. W-Net: One-Shot Arbitrary-Style Chinese Character Generation with Deep Neural Networks
  166. A Survey on Incomplete Multi-label Learning: Recent Advances and Future Trends
  167. JenGAN: Stacked Shifted Filters in GAN-Based Speech Synthesis
  168. Testably Learning Polynomial Threshold Functions
  169. Adaptive Control in Assistive Application -- A Study Evaluating Shared Control by Users with Limited Upper Limb Mobility
  170. On the Consistency of Kernel Methods with Dependent Observations
  171. Sequential Binary Classification for Intrusion Detection
  172. StreamAtt: Direct Streaming Speech-to-Text Translation with Attention-based Audio History Selection
  173. Texture Re-scalable Universal Adversarial Perturbation
  174. GAIA: Rethinking Action Quality Assessment for AI-Generated Videos
  175. An Open and Large-Scale Dataset for Multi-Modal Climate Change-aware Crop Yield Predictions
  176. Efficient k-Nearest-Neighbor Machine Translation with Dynamic Retrieval
  177. Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
  178. ProcessPainter: Learn Painting Process from Sequence Data
  179. Greedy SLIM: A SLIM-Based Approach For Preference Elicitation
  180. Learning Physical Simulation with Message Passing Transformer
  181. A Multidimensional Framework for Evaluating Lexical Semantic Change with Social Science Applications
  182. On the Utility of Accounting for Human Beliefs about AI Intention in Human-AI Collaboration
  183. Generalizable Human Gaussians from Single-View Image
  184. Robust Latent Representation Tuning for Image-text Classification
  185. MATES: Model-Aware Data Selection for Efficient Pretraining with Data Influence Models
  186. FRAG: Frequency Adapting Group for Diffusion Video Editing
  187. Risk Sensitivity in Markov Games and Multi-Agent Reinforcement Learning: A Systematic Review
  188. Vript: A Video Is Worth Thousands of Words
  189. Diving into Underwater: Segment Anything Model Guided Underwater Salient Instance Segmentation and A Large-scale Dataset
  190. The Curse of Popularity: Popular Entities have Catastrophic Side Effects when Deleting Knowledge from Language Models
  191. ReCon1M:A Large-scale Benchmark Dataset for Relation Comprehension in Remote Sensing Imagery
  192. HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs
  193. RepoQA: Evaluating Long Context Code Understanding
  194. GraphStorm: all-in-one graph machine learning framework for industry applications
  195. Shoulders of Giants: A Look at the Degree and Utility of Openness in NLP Research
  196. Neuro-TransUNet: Segmentation of stroke lesion in MRI using transformers
  197. EpiLearn: A Python Library for Machine Learning in Epidemic Modeling
  198. Network two-sample test for block models
  199. The Impact of AI on Academic Research and Publishing
  200. Computational and Statistical Guarantees for Tensor-on-Tensor Regression with Tensor Train Decomposition
  201. ThaiCoref: Thai Coreference Resolution Dataset
  202. fSEAD: a Composable FPGA-based Streaming Ensemble Anomaly Detection Library
  203. A Dual-View Approach to Classifying Radiology Reports by Co-Training
  204. Neural-g: A Deep Learning Framework for Mixing Density Estimation
  205. Explainable AI for Mental Disorder Detection via Social Media: A survey and outlook
  206. Artificial Intelligence for Neuro MRI Acquisition: A Review
  207. ShiftAddLLM: Accelerating Pretrained LLMs via Post-Training Multiplication-Less Reparameterization
  208. Causality-inspired Latent Feature Augmentation for Single Domain Generalization
  209. Inter-slice Super-resolution of Magnetic Resonance Images by Pre-training and Self-supervised Fine-tuning
  210. Decision-Making Behavior Evaluation Framework for LLMs under Uncertain Context
  211. MakeSinger: A Semi-Supervised Training Method for Data-Efficient Singing Voice Synthesis via Classifier-free Diffusion Guidance
  212. Distributionally Robust Safe Sample Elimination under Covariate Shift
  213. MAGNOLIA: Matching Algorithms via GNNs for Online Value-to-go Approximation