mlsanityData to 14 Oct 2026

Papers

New on arXiv

Tue 4 Jun 2024

393 papers

  1. Break the Chain: Large Language Models Can be Shortcut ReasonersLLM reasoning → Prompting and chain-of-thought reasoning
  2. From Redundancy to Relevance: Information Flow in LVLMs Across Reasoning TasksLLM reasoning → Multimodal reasoning +1
  3. OccamLLM: Fast and Exact Language Model Arithmetic in a Single StepLLM reasoning → Mathematical reasoning
  4. ORACLE: Leveraging Mutual Information for Consistent Character Generation with LoRAs in Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  5. Chain of Agents: Large Language Models Collaborating on Long-Context TasksLLM agents and tool use → General LLM agent frameworks and benchmarks
  6. ACCORD: Closing the Commonsense Measurability GapLLM reasoning → Reasoning benchmarks and evaluation
  7. Disentangling Logic: The Role of Context in Large Language Model Reasoning CapabilitiesLLM reasoning → Reasoning benchmarks and evaluation
  8. Adaptive Preference Scaling for Reinforcement Learning with Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF +1
  9. Aligning Large Language Models via Fine-grained SupervisionLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  10. RATT: A Thought Structure for Coherent and Correct LLM ReasoningLLM reasoning → Reasoning benchmarks and evaluation +1
  11. Reinforcement learning-based architecture search for quantum machine learningDeep reinforcement learning methods → Quantum reinforcement learning
  12. iQRL -- Implicitly Quantized Representations for Sample-efficient Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  13. Reanimating Images using Neural Representations of Dynamic StimuliDiffusion models → Medical imaging and segmentation
  14. Block Transformer: Global-to-Local Language Modeling for Fast InferenceEfficient LLM inference and serving → KV cache optimization
  15. Pancreatic Tumor Segmentation as Anomaly Detection in CT Images Using Denoising Diffusion ModelsDiffusion models → Medical imaging and segmentation
  16. By Fair Means or Foul: Quantifying Collusion in a Market Simulation with Deep Reinforcement LearningDeep reinforcement learning methods → Adversarial robustness and RL in finance
  17. EchoMamba4Rec: Harmonizing Bidirectional State Space Models with Spectral Filtering for Advanced Sequential RecommendationState-space sequence models (S4, Mamba) → Core SSM architectures for language
  18. Dreamguider: Improved Training free Diffusion-based Conditional GenerationDiffusion models → Diffusion foundations and sampling
  19. Enhancing Temporal Consistency in Video Editing by Reconstructing Videos with 3D Gaussian SplattingDiffusion models → 3D, point cloud and scene generation
  20. ViDiT-Q: Efficient and Accurate Quantization of Diffusion Transformers for Image and Video GenerationDiffusion models → Diffusion foundations and sampling
  21. Parrot: Multilingual Visual Instruction TuningMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning +1
  22. TopViewRS: Vision-Language Models as Top-View Spatial ReasonersLLM reasoning → Spatial and embodied reasoning +1
  23. SpecExec: Massively Parallel Speculative Decoding for Interactive LLM Inference on Consumer DevicesEfficient LLM inference and serving → Speculative decoding
  24. CamCo: Camera-Controllable 3D-Consistent Image-to-Video GenerationDiffusion models → Video generation
  25. Guiding a Diffusion Model with a Bad Version of ItselfDiffusion models → Diffusion foundations and sampling
  26. Towards Efficient Mixture of Experts: A Holistic Study of Compression TechniquesMixture-of-experts → MoE large language models
  27. Stable-Pose: Leveraging Transformers for Pose-Guided Text-to-Image GenerationDiffusion models → Video generation
  28. Inpainting Pathology in Lumbar Spine MRI with Latent DiffusionDiffusion models → Medical imaging and segmentation
  29. DL-KDD: Dual-Light Knowledge Distillation for Action Recognition in the DarkKnowledge distillation → General knowledge distillation methods
  30. Learning Image Priors through Patch-based Diffusion Models for Solving Inverse ProblemsDiffusion models → Inverse problems and image restoration
  31. RoomTex: Texturing Compositional Indoor Scenes via Iterative InpaintingDiffusion models → 3D, point cloud and scene generation
  32. Retaining Key Information under High Compression Ratios: Query-Guided Compressor for LLMsEfficient LLM inference and serving → Prompt and context compression
  33. Query-based Semantic Gaussian Field for Scene Representation in Reinforcement LearningDeep reinforcement learning methods → RL for robot locomotion and manipulation
  34. Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  35. FedDr+: Stabilizing Dot-regression with Global Feature Distillation for Federated LearningKnowledge distillation → Federated, robust and private distillation
  36. Flash Diffusion: Accelerating Any Conditional Diffusion Model for Few Steps Image GenerationDiffusion models → Diffusion foundations and sampling
  37. SimpleSpeech: Towards Simple and Efficient Text-to-Speech with Scalar Latent Transformer Diffusion ModelsDiffusion models → Audio, speech and music
  38. mCoT: Multilingual Instruction Tuning for Reasoning Consistency in Language ModelsLLM reasoning → Mathematical reasoning
  39. How to Explore with Belief: State Entropy Maximization in POMDPsDeep reinforcement learning methods → RL theory and sample complexity
  40. Smaller Batches, Bigger Gains? Investigating the Impact of Batch Sizes on Reinforcement Learning Based Real-World Production SchedulingDeep reinforcement learning methods → RL for energy, networks and operations
  41. Test-Time Regret Minimization in Meta Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  42. Enhancing Retrieval-Augmented LMs with a Two-stage Consistency Learning CompressorRetrieval-augmented generation → Generation and context integration
  43. Understanding Retrieval Robustness for Retrieval-Augmented Image CaptioningRetrieval-augmented generation → Multimodal RAG
  44. Reinforcement Learning with Lookahead InformationDeep reinforcement learning methods → Deep RL algorithms and representations
  45. I4VGen: Image as Free Stepping Stone for Text-to-Video GenerationDiffusion models → Video generation
  46. GraVITON: Graph based garment warping with attention guided inversion for Virtual-tryonDiffusion models → 3D, point cloud and scene generation
  47. Audio Mamba: Selective State Spaces for Self-Supervised Audio RepresentationsState-space sequence models (S4, Mamba) → Speech and audio SSMs
  48. Iteration Head: A Mechanistic Study of Chain-of-ThoughtLLM reasoning → Prompting and chain-of-thought reasoning
  49. MARS: Benchmarking the Metaphysical Reasoning Abilities of Language Models with a Multi-task Evaluation DatasetLLM reasoning → Reasoning benchmarks and evaluation
  50. Exploring Mathematical Extrapolation of Large Language Models with Synthetic DataLLM reasoning → Mathematical reasoning +1
  51. LongSSM: On the Length Extension of State-space Models in Language ModellingState-space sequence models (S4, Mamba) → Core SSM architectures for language
  52. PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information FunnelingEfficient LLM inference and serving → KV cache optimization
  53. Alice in Wonderland: Simple Tasks Showing Complete Reasoning Breakdown in State-Of-the-Art Large Language ModelsLLM reasoning → Mathematical reasoning
  54. Tabular and Deep Learning for the Whittle IndexDeep reinforcement learning methods → RL theory and sample complexity
  55. Towards Universal and Black-Box Query-Response Only Attack on LLMs with QROALLM safety and security → Jailbreaking
  56. A Unifying Framework for Action-Conditional Self-Predictive Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  57. Multimodal Reasoning with Multimodal Knowledge GraphLLM reasoning → Multimodal reasoning
  58. On the Hardness of Sampling from Mixture Distributions via Langevin DynamicsDiffusion models → Diffusion foundations and sampling
  59. Mamba as Decision Maker: Exploring Multi-scale Sequence Modeling in Offline Reinforcement LearningState-space sequence models (S4, Mamba) → Video, motion and generative Mamba models +1
  60. RKLD: Reverse KL-Divergence-based Knowledge Distillation for Unlearning Personal Information in Large Language ModelsLLM safety and security → Machine unlearning +1
  61. The Crystal Ball Hypothesis in diffusion models: Anticipating object positions from initial noiseDiffusion models → Image generation, text-to-image and editing
  62. Plug-and-Play Diffusion DistillationDiffusion models → Diffusion foundations and sampling
  63. Improving Generalization in Aerial and Terrestrial Mobile Robots Control Through Delayed Policy LearningDeep reinforcement learning methods → RL for robot navigation and UAV control
  64. Bileve: Securing Text Provenance in Large Language Models Against Spoofing with Bi-level SignatureLLM safety and security → Watermarking generated content and models
  65. SDS++: Online Situation-Aware Drivable Space Estimation for Automated DrivingEnd-to-end autonomous driving → End-to-end system architecture
  66. Process-Driven Autoformalization in Lean 4LLM reasoning → Mathematical reasoning
  67. Dishonesty in Helpful and Harmless AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  68. CODE: Contrasting Self-generated Description to Combat Hallucination in Large Multi-modal ModelsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  69. HPE-CogVLM: Advancing Vision Language Models with a Head Pose Grounding TaskMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  70. Generating Synthetic Net Load Data with Physics-informed Diffusion ModelDiffusion models → Flow matching, time series and science
  71. Cross-Domain Graph Data Scaling: A Showcase with Diffusion ModelsDiffusion models → Flow matching, time series and science
  72. Explicitly Encoding Structural Symmetry is Key to Length Generalization in Arithmetic TasksLLM reasoning → Mathematical reasoning
  73. Large Language Model-Enabled Multi-Agent Manufacturing SystemsLLM agents and tool use → General LLM agent frameworks and benchmarks
  74. GRAM: Generative Retrieval Augmented Matching of Data Schemas in the Context of Data SecurityRetrieval-augmented generation → Privacy and security of RAG
  75. MoLA: Motion Generation and Editing with Latent Diffusion Enhanced by Adversarial TrainingDiffusion models → Video generation
  76. Towards Effective Time-Aware Language Representation: Exploring Enhanced Temporal Understanding in Language ModelsLLM reasoning → Knowledge- and tool-augmented reasoning
  77. Learning-Based WiFi Fingerprint Inpainting via Generative Adversarial Networks
  78. A Standardized Machine-readable Dataset Documentation Format for Responsible AI
  79. Comparative Analysis Vision of Worldwide AI Courses
  80. OpenDataLab: Empowering General Artificial Intelligence with Open Datasets
  81. Survey on Plagiarism Detection in Large Language Models: The Impact of ChatGPT and Gemini on Academic Integrity
  82. A Novel Implementation of Marksheet Parser Using PaddleOCR
  83. Mimetic Poet
  84. Learning Cellular Network Connection Quality with Conformal
  85. Tumor likelihood estimation on MRI prostate data by utilizing k-Space information
  86. Temporal distribution of clusters of investors and their application in prediction with expert advice
  87. Negative Prototypes Guided Contrastive Learning for WSOD
  88. Research on Driver Facial Fatigue Detection Based on Yolov8 Model
  89. Unsupervised Few-Shot Continual Learning for Remote Sensing Image Scene Classification
  90. Generating grid maps via the snake model
  91. Using Explainable AI for EEG-based Reduced Montage Neonatal Seizure Detection
  92. RayProNet: A Neural Point Field Framework for Radio Propagation Modeling in 3D Environments
  93. Logic-Based Explainability: Past, Present & Future
  94. Predict Click-Through Rates with Deep Interest Network Model in E-commerce Advertising
  95. Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering
  96. Investigating the Potential of Using Large Language Models for Scheduling
  97. Adaptive multiple optimal learning factors for neural network training
  98. Discrete Multimodal Transformers with a Pretrained Large Language Model for Mixed-Supervision Speech Processing
  99. Order-Independence Without Fine Tuning
  100. SMS Spam Detection and Classification to Combat Abuse in Telephone Networks Using Natural Language Processing
All 393
  1. RAG-based Crowdsourcing Task Decomposition via Masked Contrastive Learning with Prompts
  2. Integrating Physics of the Problem into Data-Driven Methods to Enhance Elastic Full-Waveform Inversion with Uncertainty Quantification
  3. Fight Scene Detection for Movie Highlight Generation System
  4. Incentivized Exploration with Stochastic Covariates: A Two-Stage Mechanism Design for Recommender System
  5. Fuzzy Convolution Neural Networks for Tabular Data Classification
  6. Dynamic and Adaptive Feature Generation with LLM
  7. ST-DPGAN: A Privacy-preserving Framework for Spatiotemporal Data Generation
  8. Structure-based Drug Design Benchmark: Do 3D Methods Really Dominate?
  9. Mixed-Precision Federated Learning via Multi-Precision Over-The-Air Aggregation
  10. Randomized Geometric Algebra Methods for Convex Neural Networks
  11. Promotional Language and the Adoption of Innovative Ideas in Science
  12. Auditing Privacy Mechanisms via Label Inference Attacks
  13. ArguMentor: Augmenting User Experiences with Counter-Perspectives
  14. Language Models can Infer Action Semantics for Symbolic Planners from Environment Feedback
  15. Building Socially-Equitable Public Models
  16. Private Stochastic Convex Optimization with Heavy Tails: Near-Optimality from Simple Reductions
  17. Event-horizon-scale Imaging of M87* under Different Assumptions via Deep Generative Image Priors
  18. LADI v2: Multi-label Dataset and Classifiers for Low-Altitude Disaster Imagery
  19. MS-IMAP -- A Multi-Scale Graph Embedding Approach for Interpretable Manifold Learning
  20. MeshVPR: Citywide Visual Place Recognition Using 3D Meshes
  21. Diagnostic Digital Twin for Anomaly Detection in Floating Offshore Wind Energy
  22. Diffusion-Refined VQA Annotations for Semi-Supervised Gaze Following
  23. Cyclic Sparse Training: Is it Enough?
  24. Hyperbolic Benchmarking Unveils Network Topology-Feature Relationship in GNN Performance
  25. Improved context-sensitive transformer model for inland vessel trajectory prediction
  26. Short-term Inland Vessel Trajectory Prediction with Encoder-Decoder Models
  27. Precise asymptotics of reweighted least-squares algorithms for linear diagonal networks
  28. Spatial and social situation-aware transformer-based trajectory prediction of autonomous systems
  29. Discovering Continuous-Time Memory-Based Symbolic Policies using Genetic Programming
  30. Multi-layer Learnable Attention Mask for Multimodal Tasks
  31. Story Generation from Visual Inputs: Techniques, Related Tasks, and Challenges
  32. Measuring Stochastic Data Complexity with Boltzmann Influence Functions
  33. DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning
  34. Tolerant Algorithms for Learning with Arbitrary Covariate Shift
  35. Long Range Propagation on Continuous-Time Dynamic Graphs
  36. Synthetic Data Outliers: Navigating Identity Disclosure
  37. Textless Acoustic Model with Self-Supervised Distillation for Noise-Robust Expressive Speech-to-Speech Translation
  38. GEFL: Extended Filtration Learning for Graph Classification
  39. Temporal Graph Learning Recurrent Neural Network for Traffic Forecasting
  40. Predicting AI Agent Behavior through Approximation of the Perron-Frobenius Operator
  41. Self-Control of LLM Behaviors by Compressing Suffix Gradient into Prefix Controller
  42. 3D-HGS: 3D Half-Gaussian Splatting
  43. Optimal Rates for O(1)-Smooth DP-SCO with a Single Epoch and Large Batches
  44. Self-Trained Model for ECG Complex Delineation
  45. Window to Wall Ratio Detection using SegFormer
  46. Operational Latent Spaces
  47. Demystifying Spectral Bias on Real-World Data
  48. kNN Classification of Malware Data Dependency Graph Features
  49. RepCNN: Micro-sized, Mighty Models for Wakeword Detection
  50. RoutePlacer: An End-to-End Routability-Aware Placer with Graph Neural Network
  51. Keyword-Guided Adaptation of Automatic Speech Recognition
  52. Exploring Effects of Hyperdimensional Vectors for Tsetlin Machines
  53. Astral: training physics-informed neural networks with error majorants
  54. Differentially private exact recovery for stochastic block models
  55. E-ICL: Enhancing Fine-Grained Emotion Recognition through the Lens of Prototype Theory
  56. Strengthening Network Intrusion Detection in IoT Environments with Self-Supervised Learning and Few Shot Learning
  57. Evidentially Calibrated Source-Free Time-Series Domain Adaptation with Temporal Imputation
  58. Edit Distance Robust Watermarks via Indexing Pseudorandom Codes
  59. Redefining DDoS Attack Detection Using A Dual-Space Prototypical Network-Based Approach
  60. Contrastive Language Video Time Pre-training
  61. AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways
  62. SSNet: A Lightweight Multi-Party Computation Scheme for Practical Privacy-Preserving Machine Learning Service in the Cloud
  63. Replicability in High Dimensional Statistics
  64. VHS: High-Resolution Iterative Stereo Matching with Visual Hull Priors
  65. Learning to grok: Emergence of in-context learning and skill composition in modular arithmetic tasks
  66. Open-YOLO 3D: Towards Fast and Accurate Open-Vocabulary 3D Instance Segmentation
  67. Leveraging Visual Tokens for Extended Text Contexts in Multi-Modal Learning
  68. Robust and highly scalable estimation of directional couplings from time-shifted signals
  69. To Believe or Not to Believe Your LLM
  70. Loki: Low-rank Keys for Efficient Sparse Attention
  71. Mitigate Position Bias in Large Language Models via Scaling a Single Dimension
  72. Enhancing 2D Representation Learning with a 3D Prior
  73. Enhancing predictive imaging biomarker discovery through treatment effect analysis
  74. SatSplatYOLO: 3D Gaussian Splatting-based Virtual Object Detection Ensembles for Satellite Feature Recognition
  75. ReLUs Are Sufficient for Learning Implicit Neural Representations
  76. Scalable MatMul-free Language Modeling
  77. CheckEmbed: Effective Verification of LLM Solutions to Open-Ended Tasks
  78. RoboCasa: Large-Scale Simulation of Everyday Tasks for Generalist Robots
  79. DDGS-CT: Direction-Disentangled Gaussian Splatting for Realistic Volume Rendering
  80. Deterministic Reversible Data Augmentation for Neural Machine Translation
  81. Uncertainty of Joint Neural Contextual Bandit
  82. V-Express: Conditional Dropout for Progressive Training of Portrait Video Generation
  83. Fairness-Optimized Synthetic EHR Generation for Arbitrary Downstream Predictive Tasks
  84. An Open-Source Tool for Mapping War Destruction at Scale in Ukraine using Sentinel-1 Time Series
  85. Dropout MPC: An Ensemble Neural MPC Approach for Systems with Learned Dynamics
  86. Kolmogorov-Arnold Networks for Time Series: Bridging Predictive Power and Interpretability
  87. GenS: Generalizable Neural Surface Reconstruction from Multi-View Images
  88. Ai-Sampler: Adversarial Learning of Markov kernels with involutive maps
  89. Language-Universal Speech Attributes Modeling for Zero-Shot Multilingual Spoken Keyword Recognition
  90. A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting
  91. How Do Neural Spoofing Countermeasures Detect Partially Spoofed Audio?
  92. Large Language Models as Carriers of Hidden Messages
  93. Analyzing Temporal Complex Events with Large Language Models? A Benchmark towards Temporal, Long Context Understanding
  94. Meta-Designing Quantum Experiments with Language Models
  95. Landscape-Aware Growing: The Power of a Little LAG
  96. An Empirical Study into Clustering of Unseen Datasets with Self-Supervised Encoders
  97. Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments
  98. Machine learning Hubbard parameters with equivariant neural networks
  99. Offline Bayesian Aleatoric and Epistemic Uncertainty Quantification and Posterior Value Optimisation in Finite-State MDPs
  100. A Generalized Apprenticeship Learning Framework for Modeling Heterogeneous Student Pedagogical Strategies
  101. Representations as Language: An Information-Theoretic Framework for Interpretability
  102. Federated Class-Incremental Learning with Hierarchical Generative Prototypes
  103. Explainable Deep Learning Analysis for Raga Identification in Indian Art Music
  104. Generative Active Learning for Long-tailed Instance Segmentation
  105. Coresets for Multiple ℓp Regression
  106. Reweighted Solutions for Weighted Low Rank Approximation
  107. Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning
  108. Contextual Optimization under Covariate Shift: A Robust Approach by Intersecting Wasserstein Balls
  109. CoNav: A Benchmark for Human-Centered Collaborative Navigation
  110. Contextual Dynamic Pricing: Algorithms, Optimality, and Local Differential Privacy Constraints
  111. IterMask2: Iterative Unsupervised Anomaly Segmentation via Spatial and Frequency Masking for Brain Lesions in MRI
  112. Representing Piecewise-Linear Functions by Functions with Minimal Arity
  113. Improved Modelling of Federated Datasets using Mixtures-of-Dirichlet-Multinomials
  114. Variance-Reduced Fast Krasnoselkii-Mann Methods for Finite-Sum Root-Finding Problems
  115. Decoupling of neural network calibration measures
  116. WE-GS: An In-the-wild Efficient 3D Gaussian Representation for Unconstrained Photo Collections
  117. Online Fair Allocation of Perishable Resources
  118. The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding
  119. GrootVL: Tree Topology is All You Need in State Space Model
  120. Pattern Recognition or Medical Knowledge? The Problem with Multiple-Choice Questions in Medicine
  121. Low-Rank Adaption on Transformer-based Oriented Object Detector for Satellite Onboard Processing of Remote Sensing Images
  122. Learning to Edit Visual Programs with Self-Supervision
  123. Kirigami: large convolutional kernels improve deep learning-based RNA secondary structure prediction
  124. EUFCC-340K: A Faceted Hierarchical Dataset for Metadata Annotation in GLAM Collections
  125. On the Intrinsic Self-Correction Capability of LLMs: Uncertainty and Latent Concept
  126. XRec: Large Language Models for Explainable Recommendation
  127. Large Language Models Make Sample-Efficient Recommender Systems
  128. Temporal Graph Rewiring with Expander Graphs
  129. Using Self-supervised Learning Can Improve Model Fairness
  130. The complexity of approximate (coarse) correlated equilibrium for incomplete information games
  131. Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks
  132. Label-wise Aleatoric and Epistemic Uncertainty Quantification
  133. System-Aware Neural ODE Processes for Few-Shot Bayesian Optimization
  134. LlamaCare: A Large Medical Language Model for Enhancing Healthcare Knowledge Sharing
  135. CADE: Cosine Annealing Differential Evolution for Spiking Neural Network
  136. AMOSL: Adaptive Modality-wise Structure Learning in Multi-view Graph Neural Networks For Enhanced Unified Representation
  137. Progressive Confident Masking Attention Network for Audio-Visual Segmentation
  138. Incorporating Navigation Context into Inland Vessel Trajectory Prediction: A Gaussian Mixture Model and Transformer Approach
  139. Cluster-Aware Similarity Diffusion for Instance Retrieval
  140. Linguistic Fingerprint in Transformer Models: How Language Variation Influences Parameter Selection in Irony Detection
  141. Polynomial-Augmented Neural Networks (PANNs) with Weak Orthogonality Constraints for Enhanced Function and PDE Approximation
  142. Probing the Category of Verbal Aspect in Transformer Language Models
  143. Towards Neural Architecture Search for Transfer Learning in 6G Networks
  144. Extended Mind Transformers
  145. Translation Deserves Better: Analyzing Translation Artifacts in Cross-lingual Visual Question Answering
  146. On Affine Homotopy between Language Encoders
  147. Iterative Deployment Exposure for Unsupervised Out-of-Distribution Detection
  148. Technical Language Processing for Telecommunications Specifications
  149. A Survey of Transformer Enabled Time Series Synthesis
  150. PeFAD: A Parameter-Efficient Federated Framework for Time Series Anomaly Detection
  151. Generative Conditional Distributions by Neural (Entropic) Optimal Transport
  152. An Independence-promoting Loss for Music Generation with Language Models
  153. Neural Thermodynamic Integration: Free Energies from Energy-based Diffusion Models
  154. Disentangled Representation via Variational AutoEncoder for Continuous Treatment Effect Estimation
  155. Effects of Exponential Gaussian Distribution on (Double Sampling) Randomized Smoothing
  156. Point-Level Topological Representation Learning on Point Clouds
  157. Solving Partial Differential Equations in Different Domains by Operator Learning method Based on Boundary Integral Equations
  158. Learning-Rate-Free Stochastic Optimization over Riemannian Manifolds
  159. Composite Quantile Regression With XGBoost Using the Novel Arctan Pinball Loss
  160. An Axiomatic Approach to Loss Aggregation and an Adapted Aggregating Algorithm
  161. A Study of Optimizations for Fine-tuning Large Language Models
  162. Optimised ProPainter for Video Diminished Reality Inpainting
  163. Towards Supervised Performance on Speaker Verification with Self-Supervised Learning by Leveraging Large-Scale ASR Models
  164. A KL-based Analysis Framework with Applications to Non-Descent Optimization Methods
  165. Graph Neural Networks Do Not Always Oversmooth
  166. Analyzing the Benefits of Prototypes for Semi-Supervised Category Learning
  167. Prompting Large Language Models with Human Error Markings for Self-Correcting Machine Translation
  168. Image contrast enhancement based on the Schr"odinger operator spectrum
  169. M3DM-NR: RGB-3D Noisy-Resistant Industrial Anomaly Detection via Multimodal Denoising
  170. MidiCaps: A large-scale MIDI dataset with text captions
  171. PuFace: Defending against Facial Cloaking Attacks for Facial Recognition Models
  172. Modeling Emotional Trajectories in Written Stories Utilizing Transformers and Weakly-Supervised Learning
  173. Description Boosting for Zero-Shot Entity and Relation Classification
  174. Self-Modifying State Modeling for Simultaneous Machine Translation
  175. Power Mean Estimation in Stochastic Monte-Carlo Tree_Search
  176. On the Limitations of Fractal Dimension as a Measure of Generalization
  177. Riemannian coordinate descent algorithms on matrix manifolds
  178. FedMKT: Federated Mutual Knowledge Transfer for Large and Small Language Models
  179. SMCL: Saliency Masked Contrastive Learning for Long-tailed Recognition
  180. SLTrain: a sparse plus low-rank approach for parameter and memory efficient pretraining
  181. Random Policy Evaluation Uncovers Policies of Generative Flow Networks
  182. Why Only Text: Empowering Vision-and-Language Navigation with Multi-modal Prompts
  183. Query-Enhanced Adaptive Semantic Path Reasoning for Inductive Knowledge Graph Completion
  184. The Deep Latent Space Particle Filter for Real-Time Data Assimilation with Uncertainty Quantification
  185. No Captions, No Problem: Captionless 3D-CLIP Alignment with Hard Negatives via CLIP Knowledge and LLMs
  186. On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data
  187. Fast and Scalable Multi-Kernel Encoder Classifier
  188. DNCs Require More Planning Steps
  189. On The Statistical Representation Properties Of The Perturb-Softmax And The Perturb-Argmax Probability Distributions
  190. One-Shot Federated Learning with Bayesian Pseudocoresets
  191. AROMA: Preserving Spatial Structure for Latent PDE Modeling with Local Neural Fields
  192. Branches: Efficiently Seeking Optimal Sparse Decision Trees with AO*
  193. Learning the Hodgkin-Huxley Model with Operator Learning Techniques
  194. A multilingual dataset for offensive language and hate speech detection for hausa, yoruba and igbo languages
  195. Whistle: Data-Efficient Multilingual and Crosslingual Speech Recognition via Weakly Phonetic Supervision
  196. SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP
  197. Radar Spectra-Language Model for Automotive Scene Parsing
  198. Online Learning and Information Exponents: On The Importance of Batch size, and Time/Complexity Tradeoffs
  199. Almost linear time differentially private release of synthetic graphs
  200. Learning Hamiltonian neural Koopman operator and simultaneously sustaining and discovering conservation law
  201. Analyzing the Feature Extractor Networks for Face Image Synthesis
  202. Synergetic Event Understanding: A Collaborative Approach to Cross-Document Event Coreference Resolution with Large Language Models
  203. S2-Track: A Simple yet Strong Approach for End-to-End 3D Multi-Object Tracking
  204. Activation Bottleneck: Sigmoidal Neural Networks Cannot Forecast a Straight Line
  205. Reinforcement Tuning for Detecting Stances and Debunking Rumors Jointly with Large Language Models
  206. Analyzing the Effect of Combined Degradations on Face Recognition
  207. Optimality of Matrix Mechanism on ℓpp-metric
  208. Robust Interaction-Based Relevance Modeling for Online e-Commerce Search
  209. The current status of large language models in summarizing radiology report impressions
  210. SimulTron: On-Device Simultaneous Speech to Speech Translation
  211. CondTSF: One-line Plugin of Dataset Condensation for Time Series Forecasting
  212. CityLight: A Neighborhood-inclusive Universal Model for Coordinated City-scale Traffic Signal Control
  213. Domain Game: Disentangle Anatomical Feature for Single Domain Generalized Segmentation
  214. Diver: Large Language Model Decoding with Span-Level Mutual Information Verification
  215. UniOQA: A Unified Framework for Knowledge Graph Question Answering with Large Language Models
  216. Can Kernel Methods Explain How the Data Affects Neural Collapse?
  217. A Bayesian Approach to Online Planning
  218. MaskSR: Masked Language Model for Full-band Speech Restoration
  219. WEIRD ICWSM: How Western, Educated, Industrialized, Rich, and Democratic is Social Computing Research?
  220. FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning
  221. Assessing the Performance of Chinese Open Source Large Language Models in Information Extraction Tasks
  222. A Toolbox for Supporting Research on AI in Water Distribution Networks
  223. Multi-target stain normalization for histology slides
  224. ReLU-KAN: New Kolmogorov-Arnold Networks that Only Need Matrix Addition, Dot Multiplication, and ReLU
  225. FaceCom: Towards High-fidelity 3D Facial Shape Completion via Optimization and Inpainting Guidance
  226. Preference Optimization for Molecule Synthesis with Conditional Residual Energy-based Models
  227. Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation
  228. I've got the "Answer"! Interpretation of LLMs Hidden States in Question Answering
  229. Graph Adversarial Diffusion Convolution
  230. OpenGaussian: Towards Point-Level 3D Gaussian-based Open Vocabulary Understanding
  231. CAP: A Context-Aware Neural Predictor for NAS
  232. PETRA: Parallel End-to-end Training with Reversible Architectures
  233. JBBQ: Japanese Bias Benchmark for Analyzing Social Biases in Large Language Models
  234. Causal Effect Identification in LiNGAM Models with Latent Confounders
  235. DFA-GNN: Forward Learning of Graph Neural Networks by Direct Feedback Alignment
  236. Leveraging Predicate and Triplet Learning for Scene Graph Generation
  237. Multi-Scale Direction-Aware Network for Infrared Small Target Detection
  238. Inference Attacks: A Taxonomy, Survey, and Promising Directions
  239. Verifying the Generalization of Deep Learning to Out-of-Distribution Domains
  240. FFNet: MetaMixer-based Efficient Convolutional Mixer Design
  241. Why Would You Suggest That? Human Trust in Language Model Responses
  242. Adaptive and Optimal Second-order Optimistic Methods for Minimax Optimization
  243. Parameterizing Federated Continual Learning for Reproducible Research
  244. Understanding Auditory Evoked Brain Signal via Physics-informed Embedding Network with Multi-Task Transformer
  245. Phonetic Enhanced Language Modeling for Text-to-Speech Synthesis
  246. ODE-based Learning to Optimize
  247. Efficiently Train ASR Models that Memorize Less and Perform Better with Per-core Clipping
  248. Position Debiasing Fine-Tuning for Causal Perception in Long-Term Dialogue
  249. Bayesian Mesh Optimization for Graph Neural Networks to Enhance Engineering Performance Prediction
  250. 3D Imaging of Complex Specular Surfaces by Fusing Polarimetric and Deflectometric Information
  251. Choroidal Vessel Segmentation on Indocyanine Green Angiography Images via Human-in-the-Loop Labeling
  252. Personalized Topic Selection Model for Topic-Grounded Dialogue
  253. Dealing with All-stage Missing Modality: Towards A Universal Model with Robust Reconstruction and Personalization
  254. Variable importance measure for spatial machine learning models with application to air pollution exposure prediction
  255. Zyda: A 1.3T Dataset for Open Language Modeling
  256. What Improves the Generalization of Graph Transformers? A Theoretical Dive into the Self-attention and Positional Encoding
  257. Conditional Language Learning with Context
  258. Can Dense Connectivity Benefit Outlier Detection? An Odyssey with NAS
  259. Multiway Multislice PHATE: Visualizing Hidden Dynamics of RNNs through Training
  260. Cross-Embodiment Robot Manipulation Skill Transfer using Latent Space Alignment
  261. DrEureka: Language Model Guided Sim-To-Real Transfer
  262. Exploring Real World Map Change Generalization of Prior-Informed HD Map Prediction Models
  263. Certifiably Byzantine-Robust Federated Conformal Prediction
  264. Adaptive Variance Reduction for Stochastic Optimization under Weaker Assumptions
  265. Enhance Image-to-Image Generation with LLaVA-generated Prompts
  266. A Comparative Study of Sampling Methods with Cross-Validation in the FedHome Framework
  267. Data-Driven Approaches for Thrust Prediction in Underwater Flapping Fin Propulsion Systems
  268. Enhancing Trust in LLMs: Algorithms for Comparing and Interpreting LLMs
  269. Speeding up Policy Simulation in Supply Chain RL
  270. Nutrition Estimation for Dietary Management: A Transformer Approach with Depth Sensing
  271. Optimal Transport Guided Correlation Assignment for Multimodal Entity Linking
  272. Orthogonal Causal Calibration
  273. Detecting Endangered Marine Species in Autonomous Underwater Vehicle Imagery Using Point Annotations and Few-Shot Learning
  274. Fast networked data selection via distributed smoothed quantile estimation
  275. OTTAWA: Optimal TransporT Adaptive Word Aligner for Hallucination and Omission Translation Errors Detection
  276. GOMAA-Geo: GOal Modality Agnostic Active Geo-localization
  277. FastLGS: Speeding up Language Embedded Gaussians with Feature Grid Mapping
  278. A Global Geometric Analysis of Maximal Coding Rate Reduction
  279. PDHG-Unrolled Learning-to-Optimize Method for Large-Scale Linear Programming
  280. ProGEO: Generating Prompts through Image-Text Contrastive Learning for Visual Geo-localization
  281. Bifurcated Generative Flow Networks
  282. Follow-Your-Emoji: Fine-Controllable and Expressive Freestyle Portrait Animation
  283. SVASTIN: Sparse Video Adversarial Attack via Spatio-Temporal Invertible Neural Networks
  284. Rank-based No-reference Quality Assessment for Face Swapping
  285. HoneyGPT: Breaking the Trilemma in Terminal Honeypots with Large Language Model
  286. Bi-DCSpell: A Bi-directional Detector-Corrector Interactive Framework for Chinese Spelling Check
  287. CR-UTP: Certified Robustness against Universal Text Perturbations on Large Language Models
  288. Understanding Stochastic Natural Gradient Variational Inference
  289. Fruit Classification System with Deep Learning and Neural Architecture Search
  290. #EpiTwitter: Public Health Messaging During the COVID-19 Pandemic
  291. Eliciting the Priors of Large Language Models using Iterated In-Context Learning
  292. Neural Green's Operators for Parametric Partial Differential Equations
  293. TruthEval: A Dataset to Evaluate LLM Truthfulness and Reliability