mlsanityData to 14 Oct 2026

Papers

New on arXiv

Mon 3 Jun 2024

382 papers

  1. Segmentation-Free Guidance for Text-to-Image Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  2. MOT: A Mixture of Actors Reinforcement Learning Method by Optimal Transport for Algorithmic TradingDeep reinforcement learning methods → Adversarial robustness and RL in finance
  3. GeoReasoner: Geo-localization with Reasoning in Street Views using a Large Vision-Language ModelLLM reasoning → Spatial and embodied reasoning +1
  4. Graph Neural Network Enhanced Retrieval for Question Answering of LLMsRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  5. Natural Language Interaction with a Household Electricity Knowledge-based Digital TwinRetrieval-augmented generation → Knowledge-graph and structured-knowledge RAG
  6. Skywork-MoE: A Deep Dive into Training Techniques for Mixture-of-Experts Language ModelsMixture-of-experts → MoE large language models
  7. Safeguarding Large Language Models: A SurveyLLM safety and security → Safety alignment, refusal and guardrails
  8. Unelicitable Backdoors in Language Models via Cryptographic Transformer CircuitsLLM safety and security → Backdoor and data poisoning attacks
  9. Learning the Target Network in Function SpaceDeep reinforcement learning methods → Deep RL algorithms and representations
  10. Boosting Vision-Language Models with TransductionMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  11. Diffusion Boosted TreesDiffusion models → Diffusion foundations and sampling
  12. Towards the Transferability of Rewards Recovered via Regularized Inverse Reinforcement LearningOffline RL and imitation learning from data → Inverse reinforcement learning +1
  13. DEFT: Efficient Fine-Tuning of Diffusion Models by Learning the Generalised h-transformDiffusion models → Diffusion foundations and sampling
  14. LLMs Beyond English: Scaling the Multilingual Capability of LLMs with Cross-Lingual FeedbackLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  15. TSpec-LLM: An Open-source Dataset for LLM Understanding of 3GPP SpecificationsRetrieval-augmented generation → RAG pipeline design and evaluation
  16. Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function ApproximationDeep reinforcement learning methods → RL theory and sample complexity
  17. Learning-to-Cache: Accelerating Diffusion Transformer via Layer CachingDiffusion models → Diffusion foundations and sampling
  18. Demystifying AI Platform Design for Distributed Inference of Next-Generation LLM modelsEfficient LLM inference and serving → Serving systems and request scheduling
  19. A Diffusion Model Framework for Unsupervised Neural Combinatorial OptimizationDiffusion models → Diffusion foundations and sampling
  20. Self-Improving Robust Preference OptimizationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  21. CoLa-DCE -- Concept-guided Latent Diffusion Counterfactual ExplanationsDiffusion models → Diffusion foundations and sampling
  22. Reciprocal Reward Influence Encourages Cooperation From Self-Interested AgentsDeep reinforcement learning methods → RL for games and combinatorial optimization
  23. DiffUHaul: A Training-Free Method for Object Dragging in ImagesDiffusion models → Image generation, text-to-image and editing
  24. PlanAgent: A Multi-modal Large Language Agent for Closed-loop Vehicle Motion PlanningLLM agents and tool use → Multimodal and embodied agents
  25. ManiCM: Real-time 3D Diffusion Policy via Consistency Model for Robotic ManipulationDiffusion models → Diffusion and flow policies for robotics
  26. SpatialRGPT: Grounded Spatial Reasoning in Vision Language ModelsLLM reasoning → Spatial and embodied reasoning +1
  27. Tetrahedron Splatting for 3D GenerationDiffusion models → 3D, point cloud and scene generation
  28. Contextual Bilevel Reinforcement Learning for Incentive AlignmentLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  29. A New View on Planning in Online Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  30. Guided Score identity Distillation for Data-Free One-Step Text-to-Image GenerationDiffusion models → Diffusion foundations and sampling
  31. An Information Bottleneck Perspective for Effective Noise Filtering on Retrieval-Augmented GenerationRetrieval-augmented generation → Generation and context integration
  32. How to discretize continuous state-action spaces in Q-learning: A symbolic control approachDeep reinforcement learning methods → RL theory and sample complexity
  33. Validity Learning on Failures: Mitigating the Distribution Shift in Autonomous Vehicle PlanningEnd-to-end autonomous driving → Imitation-learning end-to-end planners +1
  34. MOSEAC: Streamlined Variable Time Step Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  35. Decoupled Alignment for Robust Plug-and-Play AdaptationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  36. Learning Temporally Consistent Video Depth from Video Diffusion PriorsDiffusion models → 3D, point cloud and scene generation
  37. DreamPhysics: Learning Physics-Based 3D Dynamics with Video Diffusion PriorsDiffusion models → Video generation
  38. The Importance of Online Data: Understanding Preference Fine-tuning via CoverageLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
  39. Differentially Private Tabular Data Synthesis using Large Language ModelsSynthetic data and self-improvement for LLMs → Privacy-preserving tabular data synthesis
  40. ED-SAM: An Efficient Diffusion Sampling Approach to Domain Generalization in Vision-Language Foundation ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP +1
  41. Value Improved Actor Critic AlgorithmsDeep reinforcement learning methods → RL theory and sample complexity
  42. Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and BeyondDeep reinforcement learning methods → RL theory and sample complexity
  43. Extending Structural Causal Models for Autonomous Vehicles to Simplify Temporal System Construction & Enable Dynamic Interactions Between AgentsLLM reasoning → Chain-of-thought reasoning for driving
  44. A Fast Convergence Theory for Offline Decision MakingOffline RL and imitation learning from data → Offline RL algorithms +1
  45. Learning to Play Atari in a World of TokensWorld models → Latent dynamics models and model-based RL +1
  46. Differentially Private Fine-Tuning of Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  47. Unleashing Generalization of End-to-End Autonomous Driving with Controllable Long Video GenerationWorld models → World models for autonomous driving +1
  48. HHMR: Holistic Hand Mesh Recovery by Enhancing the Multimodal Controllability of Graph Diffusion ModelsDiffusion models → Diffusion and flow policies for robotics
  49. Structural and Convergence Analysis of Discrete-Time Denoising Diffusion Probabilistic ModelsDiffusion models → Diffusion foundations and sampling
  50. REvolve: Reward Evolution with Large Language Models using Human FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  51. pOps: Photo-Inspired Diffusion OperatorsDiffusion models → Image generation, text-to-image and editing
  52. Improved Few-Shot Jailbreaking Can Circumvent Aligned Language Models and Their DefensesLLM safety and security → Jailbreaking
  53. Focus on the Core: Efficient Attention via Pruned Token Compression for Document ClassificationEfficient LLM inference and serving → Visual token pruning in multimodal models
  54. What makes unlearning hard and what to do about itLLM safety and security → Machine unlearning
  55. UniAnimate: Taming Unified Video Diffusion Models for Consistent Human Image AnimationDiffusion models → Video generation
  56. Deep Reinforcement Learning Behavioral Mode Switching Using Optimal Control Based on a Latent Space ObjectiveDeep reinforcement learning methods → Deep RL algorithms and representations
  57. NeoRL: Efficient Exploration for Nonepisodic RLDeep reinforcement learning methods → RL theory and sample complexity
  58. AI as Decision-Maker: Ethics and Risk Preferences of LLMsLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  59. When to Sense and Control? A Time-adaptive Approach for Continuous-Time RLDeep reinforcement learning methods → RL theory and sample complexity
  60. Dimba: Transformer-Mamba Diffusion ModelsDiffusion models → Medical imaging and segmentation +1
  61. Looking Backward: Retrospective Backward Synthesis for Goal-Conditioned GFlowNetsDeep reinforcement learning methods → RL with diffusion and flow models
  62. Dual Reasoning: A GNN-LLM Collaborative Framework for Knowledge Graph Question AnsweringLLM reasoning → Knowledge- and tool-augmented reasoning
  63. Logical Reasoning with Relation Network for Inductive Knowledge Graph CompletionLLM reasoning → Knowledge- and tool-augmented reasoning
  64. Delta-DiT: A Training-Free Acceleration Method Tailored for Diffusion TransformersDiffusion models → Diffusion foundations and sampling
  65. Deep reinforcement learning for weakly coupled MDP's with continuous actionsDeep reinforcement learning methods → RL theory and sample complexity
  66. Visual Car Brand Classification by Implementing a Synthetic Image Dataset Creation PipelineDiffusion models → Image generation, text-to-image and editing
  67. Guiding ChatGPT to Generate Salient Domain SummariesLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  68. UniQA: Unified Vision-Language Pre-training for Image Quality and Aesthetic AssessmentMultimodal LLMs / vision-language models → Image editing and quality assessment
  69. Causal prompting model-based offline reinforcement learningOffline RL and imitation learning from data → Offline RL algorithms
  70. Layout Agnostic Scene Text Image Synthesis with Diffusion ModelsDiffusion models → Image generation, text-to-image and editing
  71. VIP: Versatile Image Outpainting Empowered by Multimodal Large Language ModelMultimodal LLMs / vision-language models → Image editing and quality assessment
  72. An Advanced Reinforcement Learning Framework for Online Scheduling of Deferrable Workloads in Cloud ComputingDeep reinforcement learning methods → RL for energy, networks and operations
  73. LLM and GNN are Complementary: Distilling LLM for Multimodal Graph LearningKnowledge distillation → Graph neural network distillation
  74. LLEMamba: Low-Light Enhancement via Relighting-Guided Mamba with Deep Unfolding NetworkState-space sequence models (S4, Mamba) → Mamba for image restoration
  75. Mobile-Agent-v2: Mobile Device Operation Assistant with Effective Navigation via Multi-Agent CollaborationLLM agents and tool use → GUI and mobile agents
  76. Scalable Ensembling For Mitigating Reward OveroptimisationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  77. SemCoder: Training Code Language Models with Comprehensive Semantics ReasoningLLM reasoning → Reasoning for agents, planning and code
  78. Constraint-Aware Diffusion Models for Trajectory OptimizationDiffusion models → Diffusion and flow policies for robotics
  79. ParallelEdits: Efficient Multi-object Image EditingDiffusion models → Image generation, text-to-image and editing
  80. Selectively Answering Visual QuestionsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  81. Dragonfly: Multi-Resolution Zoom-In Encoding Enhances Vision-Language ModelsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  82. MiniGPT-Reverse-Designing: Predicting Image Adjustments Utilizing MiniGPT-4Multimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  83. Evaluating MEDIRL: A Replication and Ablation Study of Maximum Entropy Deep Inverse Reinforcement Learning for Human Social NavigationOffline RL and imitation learning from data → Social robot navigation +1
  84. HBTP: Heuristic Behavior Tree Planning with Large Language Model ReasoningLLM reasoning → Spatial and embodied reasoning
  85. PDP: Physics-Based Character Animation via Diffusion PolicyDiffusion models → Diffusion and flow policies for robotics
  86. A Theory for Token-Level Harmonization in Retrieval-Augmented GenerationRetrieval-augmented generation → RAG pipeline design and evaluation
  87. Faster Diffusion Sampling with Randomized Midpoints: Sequential and ParallelDiffusion models → Diffusion foundations and sampling
  88. MediQ: Question-Asking LLMs and a Benchmark for Reliable Interactive Clinical ReasoningLLM reasoning → Clinical and biomedical applications
  89. Demystifying SGD with Doubly Stochastic GradientsDiffusion models → Diffusion foundations and sampling
  90. ZeroSmooth: Training-free Diffuser Adaptation for High Frame Rate Video GenerationDiffusion models → Video generation
  91. BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language ModelsRetrieval-augmented generation → Privacy and security of RAG
  92. Is computational creativity flourishing on the dead internet?
  93. Using Artificial Intelligence to Accelerate Collective Intelligence: Policy Synth and Smarter Crowdsourcing
  94. Harmful Suicide Content Detection
  95. The Life Cycle of Large Language Models: A Review of Biases in Education
  96. Iteration over event space in time-to-first-spike spiking neural networks for Twitter bot classification
  97. Evolutionary Computation for the Design and Enrichment of General-Purpose Artificial Intelligence Systems: Survey and Prospects
  98. Toward Efficient Deep Spiking Neuron Networks:A Survey On Compression
  99. Joint Constellation Shaping Using Gradient Descent Approach for MU-MIMO Broadcast Channel
  100. UltraCortex: Submillimeter Ultra-High Field 9.4 T Brain MR Image Collection and Manual Cortical Segmentations
All 382
  1. It's a Feature, Not a Bug: Measuring Creative Fluidity in Image Generators
  2. FLOW: Fusing and Shuffling Global and Local Views for Cross-User Human Activity Recognition with IMUs
  3. REST: Efficient and Accelerated EEG Seizure Analysis through Residual State Updates
  4. Optimising Random Forest Machine Learning Algorithms for User VR Experience Prediction Based on Iterative Local Search-Sparrow Search Algorithm
  5. A Space Group Symmetry Informed Network for O(3) Equivariant Crystal Tensor Prediction
  6. Ask-EDA: A Design Assistant Empowered by LLM, Hybrid RAG and Abbreviation De-hallucination
  7. Towards Transparency: Exploring LLM Trainings Datasets through Visual Topic Modeling and Semantic Frame
  8. MedFuzz: Exploring the Robustness of Large Language Models in Medical Question Answering
  9. SUBLLM: A Novel Efficient Architecture with Token Sequence Subsampling for LLM
  10. Review of Computational Epigraphy
  11. Enhancing Clinical Documentation with Synthetic Data: Leveraging Generative Models for Improved Accuracy
  12. DHA: Learning Decoupled-Head Attention from Transformer Checkpoints via Adaptive Heads Fusion
  13. MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures
  14. SwitchLoRA: Switched Low-Rank Adaptation Can Learn Full-Rank Information
  15. Achieving Sparse Activation in Small Language Models
  16. VerilogReader: LLM-Aided Hardware Test Generation
  17. A New Branch-and-Bound Pruning Framework for ℓ0-Regularized Problems
  18. A Brief Overview of Optimization-Based Algorithms for MRI Reconstruction Using Deep Learning
  19. Progressive Inference: Explaining Decoder-Only Sequence Classification Models Using Intermediate Predictions
  20. Immunocto: a massive immune cell database auto-generated for histopathology
  21. Adaptive Layer Splitting for Wireless LLM Inference in Edge Computing: A Model-Based Reinforcement Learning Approach
  22. A hybrid numerical methodology coupling Reduced Order Modeling and Graph Neural Networks for non-parametric geometries: applications to structural dynamics problems
  23. Frequency Enhanced Pre-training for Cross-city Few-shot Traffic Forecasting
  24. ACCO: Accumulate While You Communicate for Communication-Overlapped Sharded LLM Training
  25. Is Data Valuation Learnable and Interpretable?
  26. LOLA: LLM-Assisted Online Learning Algorithm for Content Experiments
  27. MoFormer: Multi-objective Antimicrobial Peptide Generation Based on Conditional Transformer Joint Multi-modal Fusion Descriptor
  28. Less is More: Pseudo-Label Filtering for Continual Test-Time Adaptation
  29. PPINtonus: Early Detection of Parkinson's Disease Using Deep-Learning Tonal Analysis
  30. Multi-Agent Reinforcement Learning Meets Leaf Sequencing in Radiotherapy
  31. Non-uniformity is All You Need: Efficient and Timely Encrypted Traffic Classification With ECHO
  32. L-MAGIC: Language Model Assisted Generation of Images with Coherence
  33. An Open Multilingual System for Scoring Readability of Wikipedia
  34. CAFO: Feature-Centric Explanation on Time Series Classification
  35. A Robust Filter for Marker-less Multi-person Tracking in Human-Robot Interaction Scenarios
  36. FaccAID: A Transformer Model for Neuro-Symbolic Facade Reconstruction
  37. Reliable OOD Virtual Screening with Extrapolatory Pseudo-Label Matching
  38. Causal Discovery with Fewer Conditional Independence Tests
  39. Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning
  40. Long-term foehn reconstruction combining unsupervised and supervised learning
  41. Deep asymmetric mixture model for unsupervised cell segmentation
  42. Memory Capacity Analysis of Time-delay Reservoir Computing Based on Silicon Microring Resonator Nonlinearities
  43. In-Context Learning of Physical Properties: Few-Shot Adaptation to Out-of-Distribution Molecular Graphs
  44. Contextualized Sequence Likelihood: Enhanced Confidence Scores for Natural Language Generation
  45. TabMDA: Tabular Manifold Data Augmentation for Any Classifier using Transformers with In-context Subsetting
  46. Fearless Stochasticity in Expectation Propagation
  47. Online Control in Population Dynamics
  48. The Empirical Impact of Forgetting and Transfer in Continual Visual Odometry
  49. Hybrid-Learning Video Moment Retrieval across Multi-Domain Labels
  50. AI-based Classification of Customer Support Tickets: State of the Art and Implementation with AutoML
  51. Recent Advances in Data-Driven Business Process Management
  52. Multi-agent assignment via state augmented reinforcement learning
  53. OLoRA: Orthonormal Low-Rank Adaptation of Large Language Models
  54. Efficient Data Distribution Estimation for Accelerated Federated Learning
  55. How Does Gradient Descent Learn Features -- A Local Analysis for Regularized Two-Layer Neural Networks
  56. Reproducibility Study on Adversarial Attacks Against Robust Transformer Trackers
  57. An approximation-based approach versus an AI one for the study of CT images of abdominal aorta aneurysms
  58. From Latent to Lucid: Transforming Knowledge Graph Embeddings into Interpretable Structures with KGEPrisma
  59. Position: Cracking the Code of Cascading Disparity Towards Marginalized Communities
  60. Sparser, Better, Deeper, Stronger: Improving Sparse Training with Exact Orthogonal Initialization
  61. Optimizing the Optimal Weighted Average: Efficient Distributed Sparse Classification
  62. Towards Harnessing Large Language Models for Comprehension of Conversational Grounding
  63. Federated Learning-based Collaborative Wideband Spectrum Sensing and Scheduling for UAVs in UTM Systems
  64. DuQuant: Distributing Outliers via Dual Transformation Makes Stronger Quantized LLMs
  65. SnatchML: Hijacking ML models without Training Access
  66. An efficient solution to Hidden Markov Models on trees with coupled branches
  67. Few-Shot Classification of Interactive Activities of Daily Living (InteractADL)
  68. Proxy Denoising for Source-Free Domain Adaptation
  69. TinySV: Speaker Verification in TinyML with On-device Learning
  70. An efficient Wasserstein-distance approach for reconstructing jump-diffusion processes using parameterized neural networks
  71. Distributional bias compromises leave-one-out cross-validation
  72. FusionDTI: Fine-grained Binding Discovery with Token-level Fusion for Drug-Target Interaction
  73. TAGMol: Target-Aware Gradient-guided Molecule Generation
  74. Consciousness defined: requirements for biological and artificial general intelligence
  75. An Analysis under a Unified Fomulation of Learning Algorithms with Output Constraints
  76. iKAN: Global Incremental Learning with KAN for Human Activity Recognition Across Heterogeneous Datasets
  77. FNP: Fourier Neural Processes for Arbitrary-Resolution Data Assimilation
  78. TimeCMA: Towards LLM-Empowered Multivariate Time Series Forecasting via Cross-Modality Alignment
  79. MultiPly: Reconstruction of Multiple People from Monocular Video in the Wild
  80. MaGS: Reconstructing and Simulating Dynamic 3D Objects with Mesh-adsorbed Gaussian Splatting
  81. Text-guided Controllable Mesh Refinement for Interactive 3D Modeling
  82. DeNVeR: Deformable Neural Vessel Representations for Unsupervised Video Vessel Segmentation
  83. Tilting the Odds at the Lottery: the Interplay of Overparameterisation and Curricula in Neural Networks
  84. nn2poly: An R Package for Converting Neural Networks into Interpretable Polynomials
  85. Decomposing and Interpreting Image Representations via Text in ViTs Beyond CLIP
  86. Neural network learns low-dimensional polynomials with SGD near the information-theoretic limit
  87. An Equivalence Between Static and Dynamic Regret Minimization
  88. MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark
  89. Unlocking Guidance for Discrete State-Space Diffusion and Flow Models
  90. Single Trajectory Conformal Prediction
  91. Helix: Serving Large Language Models over Heterogeneous GPUs and Network via Max-Flow
  92. LoFiT: Localized Fine-tuning on LLM Representations
  93. Prototypical Transformer as Unified Motion Learners
  94. FIRM: Flexible Interactive Reflection reMoval
  95. Tensor learning with orthogonal, Lorentz, and symplectic symmetries
  96. ELSA: Evaluating Localization of Social Activities in Urban Streets using Open-Vocabulary Detection
  97. Physics-informed deep learning and compressive collocation for high-dimensional diffusion-reaction equations: practical existence theory and numerics
  98. What Are Large Language Models Mapping to in the Brain? A Case Against Over-Reliance on Brain Scores
  99. How to Count Coughs: An Event-Based Framework for Evaluating Automatic Cough Detection Algorithm Performance
  100. Physics-Informed Neural Networks for Dynamic Process Operations with Limited Physical Knowledge and Data
  101. Predicting the fatigue life of asphalt concrete using neural networks
  102. Beyond symmetrization: effective adjacency matrices and renormalization for (un)singed directed graphs
  103. MAD: Multi-Alignment MEG-to-Text Decoding
  104. The Geometry of Categorical and Hierarchical Concepts in Large Language Models
  105. Re-ReST: Reflection-Reinforced Self-Training for Language Agents
  106. Robust Classification by Coupling Data Mollification with Label Smoothing
  107. DA-HFNet: Progressive Fine-Grained Forgery Image Detection and Localization Based on Dual Attention
  108. Differentiable Task Graph Learning: Procedural Activity Representation and Online Mistake Detection from Egocentric Videos
  109. Online Optimization Perspective on First-Order and Zero-Order Decentralized Nonsmooth Nonconvex Stochastic Optimization
  110. Learning from Streaming Data when Users Choose
  111. Towards Automating the Retrospective Generation of BIM Models: A Unified Framework for 3D Semantic Reconstruction of the Built Environment
  112. Stochastic Newton Proximal Extragradient Method
  113. MixMax: Distributional Robustness in Function Space via Optimal Data Mixtures
  114. Inverse design of photonic surfaces on Inconel via multi-fidelity machine learning ensemble framework and high throughput femtosecond laser processing
  115. Tomographic Reconstruction and Regularisation with Search Space Expansion and Total Variation
  116. Understanding Token Probability Encoding in Output Embeddings
  117. RaDe-GS: Rasterizing Depth in Gaussian Splatting
  118. Hardness of Learning Neural Networks under the Manifold Hypothesis
  119. MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization
  120. Automatic Fused Multimodal Deep Learning for Plant Identification
  121. SAM as the Guide: Mastering Pseudo-Label Refinement in Semi-Supervised Referring Expression Segmentation
  122. SLANT: Spurious Logo ANalysis Toolkit
  123. Enabling ASR for Low-Resource Languages: A Comprehensive Dataset Creation Approach
  124. LexMatcher: Dictionary-centric Data Collection for LLM-based Machine Translation
  125. Asynchronous Multi-Server Federated Learning for Geo-Distributed Clients
  126. Asynchronous Byzantine Federated Learning
  127. Editing the Mind of Giants: An In-Depth Exploration of Pitfalls of Knowledge Editing in Large Language Models
  128. Learning Analysis of Kernel Ridgeless Regression with Asymmetric Kernel Learning
  129. EAGLE: Efficient Adaptive Geometry-based Learning in Cross-view Understanding
  130. Superhuman performance in urology board questions by an explainable large language model enabled for context integration of the European Association of Urology guidelines: the UroBot study
  131. Adaptive Sensitivity Analysis for Robust Augmentation against Natural Corruptions in Image Segmentation
  132. Universal In-Context Approximation By Prompting Fully Recurrent Models
  133. Alibaba LingmaAgent: Improving Automated Issue Resolution via Comprehensive Repository Exploration
  134. Problematizing AI Omnipresence in Landscape Architecture
  135. Mixup Augmentation with Multiple Interpolations
  136. Adapting Prediction Sets to Distribution Shifts Without Labels
  137. CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework
  138. Using Constraints to Discover Sparse and Alternative Subgroup Descriptions
  139. An expert-driven data generation pipeline for histological images
  140. Mixture of Rationale: Multi-Modal Reasoning Mixture for Visual Question Answering
  141. Efficient Computation Using Spatial-Photonic Ising Machines: Utilizing Low-Rank and Circulant Matrix Constraints
  142. TE-NeXt: A LiDAR-Based 3D Sparse Convolutional Network for Traversability Estimation
  143. PrivacyRestore: Privacy-Preserving Inference in Large Language Models via Privacy Removal and Restoration
  144. Sparsity-Accelerated Training for Large Language Models
  145. RL in Latent MDPs is Tractable: Online Guarantees via Off-Policy Evaluation
  146. AutoStudio: Crafting Consistent Subjects in Multi-turn Interactive Image Generation
  147. Do Large Language Models Perform the Way People Expect? Measuring the Human Generalization Function
  148. Convolutional Unscented Kalman Filter for Multi-Object Tracking with Outliers
  149. Multi-Agent Transfer Learning via Temporal Contrastive Learning
  150. D-CPT Law: Domain-specific Continual Pre-Training Scaling Law for Large Language Models
  151. Linguistic Analysis, Description, and Typological Exploration with Categorial Grammar (TheBench Guide)
  152. From Feature Visualization to Visual Circuits: Effect of Adversarial Model Manipulation
  153. BELLS: A Framework Towards Future Proof Benchmarks for the Evaluation of LLM Safeguards
  154. Privacy in LLM-based Recommendation: Recent Advances and Future Directions
  155. R2C2-Coder: Enhancing and Benchmarking Real-world Repository-level Code Completion Abilities of Code Large Language Models
  156. MP-PolarMask: A Faster and Finer Instance Segmentation for Concave Images
  157. Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience
  158. BMRS: Bayesian Model Reduction for Structured Pruning
  159. ARCH2S: Dataset, Benchmark and Challenges for Learning Exterior Architectural Structures from Point Clouds
  160. Statistics-Informed Parameterized Quantum Circuit via Maximum Entropy Principle for Data Science and Finance
  161. Probing Language Models for Pre-training Data Detection
  162. Transferring Domain Knowledge with (X)AI-Based Learning Systems
  163. TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy
  164. Sequence-to-Sequence Multi-Modal Speech In-Painting
  165. The Interpretable and Effective Graph Neural Additive Networks
  166. Enhancing Inertial Hand based HAR through Joint Representation of Language, Pose and Synthetic IMUs
  167. Scale-Free Image Keypoints Using Differentiable Persistent Homology
  168. Compute-Efficient Medical Image Classification with Softmax-Free Transformers and Sequence Normalization
  169. FactGenius: Combining Zero-Shot Prompting and Fuzzy Relation Mining to Improve Fact Verification with Knowledge Graphs
  170. Unsupervised Distractor Generation via Large Language Model Distilling and Counterfactual Contrastive Decoding
  171. CodeR: Issue Resolving with Multi-Agent and Task Graphs
  172. Pulmonary Embolism Mortality Prediction Using Multimodal Learning Based on Computed Tomography Angiography and Clinical Data
  173. Enhancing Dynamic CT Image Reconstruction with Neural Fields and Optical Flow
  174. When Can LLMs Actually Correct Their Own Mistakes? A Critical Survey of Self-Correction of LLMs
  175. CE-VAE: Capsule Enhanced Variational AutoEncoder for Underwater Image Enhancement
  176. Resource-constrained Fairness
  177. Large Language Models as Recommender Systems: A Study of Popularity Bias
  178. Continuous Geometry-Aware Graph Diffusion via Hyperbolic Neural PDE
  179. fruit-SALAD: A Style Aligned Artwork Dataset to reveal similarity perception in image embeddings
  180. EduNLP: Towards a Unified and Modularized Library for Educational Resources
  181. Lifting Factor Graphs with Some Unknown Factors
  182. Expected Grad-CAM: Towards gradient faithfulness
  183. FreeTumor: Advance Tumor Segmentation via Large-Scale Tumor Synthesis
  184. Augmented Commonsense Knowledge for Remote Object Grounding
  185. On the Nonlinearity of Layer Normalization
  186. animal2vec and MeerKAT: A self-supervised transformer for rare-event raw audio input and a large-scale reference dataset for bioacoustics
  187. Towards Scalable Automated Alignment of LLMs: A Survey
  188. DumpKV: Learning based lifetime aware garbage collection for key value separation in LSM-tree
  189. Equivariant Machine Learning on Graphs with Nonlinear Spectral Filters
  190. EffiQA: Efficient Question-Answering with Strategic Multi-Model Collaboration on Knowledge Graphs
  191. Achieving Tractable Minimax Optimal Regret in Average Reward MDPs
  192. Multi-word Term Embeddings Improve Lexical Product Retrieval
  193. AGALE: A Graph-Aware Continual Learning Evaluation Framework
  194. Demonstration Augmentation for Zero-shot In-context Learning
  195. Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition
  196. GeminiFusion: Efficient Pixel-wise Multimodal Fusion for Vision Transformer
  197. ControlSpeech: Towards Simultaneous and Independent Zero-shot Speaker Cloning and Zero-shot Language Style Control
  198. Scaling Up Deep Clustering Methods Beyond ImageNet-1K
  199. Automatic Essay Multi-dimensional Scoring with Fine-tuning and Multiple Regression
  200. A Survey of Generative Information Retrieval
  201. 3D WholeBody Pose Estimation based on Semantic Graph Attention Network and Distance Information
  202. AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation
  203. Sparsity-Agnostic Linear Bandits with Adaptive Adversaries
  204. S-CycleGAN: Semantic Segmentation Enhanced CT-Ultrasound Image-to-Image Translation for Robotic Ultrasonography
  205. MultiMax: Sparse and Multi-Modal Attention Learning
  206. Patch-Based Encoder-Decoder Architecture for Automatic Transmitted Light to Fluorescence Imaging Transition: Contribution to the LightMyCells Challenge
  207. Estimating Global Input Relevance and Enforcing Sparse Representations with a Scalable Spectral Neural Network Approach
  208. Are AI-Generated Text Detectors Robust to Adversarial Perturbations?
  209. Two Tales of Persona in LLMs: A Survey of Role-Playing and Personalization
  210. Zero-Shot Out-of-Distribution Detection with Outlier Label Exposure
  211. Conditional Gumbel-Softmax for constrained feature selection with application to node selection in wireless sensor networks
  212. Dynamic Structural Causal Models
  213. Quantum consistent neural/tensor networks for photonic circuits with strongly/weakly entangled states
  214. UniUSNet: A Promptable Framework for Universal Ultrasound Disease Prediction and Tissue Segmentation
  215. Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms
  216. Depth-Bounded Epistemic Planning
  217. Towards Practical Single-shot Motion Synthesis
  218. Favi-Score: A Measure for Favoritism in Automated Preference Ratings for Generative AI Evaluation
  219. SAVA: Scalable Learning-Agnostic Data Valuation
  220. Learning Adaptive Fusion Bank for Multi-modal Salient Object Detection
  221. TCMBench: A Comprehensive Benchmark for Evaluating Large Language Models in Traditional Chinese Medicine
  222. Latent Logic Tree Extraction for Event Sequence Explanation from LLMs
  223. Accelerating Heterogeneous Federated Learning with Closed-form Classifiers
  224. Cohort Squeeze: Beyond a Single Communication Round per Cohort in Cross-Device Federated Learning
  225. Globally Interpretable Classifiers via Boolean Formulas with Dynamic Propositions
  226. BACON: Bayesian Optimal Condensation Framework for Dataset Distillation
  227. Advancing DRL Agents in Commercial Fighting Games: Training, Integration, and Agent-Human Alignment
  228. Learning Decision Trees and Forests with Algorithmic Recourse
  229. Synergizing Unsupervised and Supervised Learning: A Hybrid Approach for Accurate Natural Language Task Modeling
  230. Joint Learning of Linear Dynamical Systems under Smoothness Constraints
  231. Diverse Subset Selection via Norm-Based Sampling and Orthogonality
  232. FedAdOb: Privacy-Preserving Federated Deep Learning with Adaptive Obfuscation
  233. No Vandalism: Privacy-Preserving and Byzantine-Robust Federated Learning
  234. Object Aware Egocentric Online Action Detection
  235. Unseen Visual Anomaly Generation
  236. Estimating Canopy Height at Scale
  237. Understanding the Cross-Domain Capabilities of Video-Based Few-Shot Action Recognition Models
  238. Towards Efficient Deep Spiking Neural Networks Construction with Spiking Activity based Pruning
  239. Topology-Aware Dynamic Reweighting for Distribution Shifts on Graph
  240. DANCE: Dual-View Distribution Alignment for Dataset Condensation
  241. Virtual avatar generation models as world navigators
  242. Confidence-Based Task Prediction in Continual Disease Classification Using Probability Distribution
  243. MACT: Model-Agnostic Cross-Lingual Training for Discourse Representation Structure Parsing
  244. Decompose, Enrich, and Extract! Schema-aware Event Extraction using LLMs
  245. Nuclear Medicine AI in Action: The Bethesda Report (AI Summit 2024)
  246. Self-Calibrating 4D Novel View Synthesis from Monocular Videos Using Gaussian Splatting
  247. Synthetic Data Generation for 3D Myocardium Deformation Analysis
  248. Generalized Jersey Number Recognition Using Multi-task Learning With Orientation-guided Weight Refinement
  249. CYCLO: Cyclic Graph Transformer Approach to Multi-Object Relationship Modeling in Aerial Videos
  250. PRICE: A Pretrained Model for Cross-Database Cardinality Estimation
  251. Strengthened Symbol Binding Makes Large Language Models Reliable Multiple-Choice Selectors
  252. Khayyam Offline Persian Handwriting Dataset
  253. Combining Qualitative and Computational Approaches for Literary Analysis of Finnish Novels
  254. ATTIQA: Generalizable Image Quality Feature Extractor using Attribute-aware Pretraining
  255. Accent Conversion in Text-To-Speech Using Multi-Level VAE and Adversarial Training
  256. Attention-based Iterative Decomposition for Tensor Product Representation
  257. Multi-Object Tracking based on Imaging Radar 3D Object Detection
  258. Uni-ISP: Toward Unifying the Learning of ISPs from Multiple Mobile Cameras
  259. Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients
  260. Distributional Refinement Network: Distributional Forecasting via Deep Learning
  261. Enhancing Fairness in Unsupervised Graph Anomaly Detection through Disentanglement
  262. Predicting drug-gene relations via analogy tasks with word embeddings
  263. Take its Essence, Discard its Dross! Debiasing for Toxic Language Detection via Counterfactual Causal Effect
  264. Generative Pre-trained Speech Language Model with Efficient Hierarchical Transformer
  265. Luna: An Evaluation Foundation Model to Catch Language Model Hallucinations with High Accuracy and Low Cost
  266. Cold-start Recommendation by Personalized Embedding Region Elicitation
  267. Using RL to Identify Divisive Perspectives Improves LLMs Abilities to Identify Communities on Social Media
  268. Navigating Conflicting Views: Harnessing Trust for Learning
  269. Improving Segment Anything on the Fly: Auxiliary Online Learning and Adaptive Fusion for Medical Image Segmentation
  270. How Video Meetings Change Your Expression
  271. Annotation Guidelines-Based Knowledge Augmentation: Towards Enhancing Large Language Models for Educational Text Classification
  272. Cross-Dimensional Medical Self-Supervised Representation Learning Based on a Pseudo-3D Transformation
  273. State Space Models on Temporal Graphs: A First-Principles Study
  274. A Synergistic Approach In Network Intrusion Detection By Neurosymbolic AI
  275. A Survey of Useful LLM Evaluation
  276. LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions
  277. Self-Supervised Geometry-Guided Initialization for Robust Monocular Visual Odometry
  278. Advancing Weakly-Supervised Audio-Visual Video Parsing via Segment-wise Pseudo Labeling
  279. Robustness of Practical Perceptual Hashing Algorithms to Hash-Evasion and Hash-Inversion Attacks
  280. Alignment-Free RGBT Salient Object Detection: Semantics-guided Asymmetric Correlation Network and A Unified Benchmark
  281. Wasserstein gradient flow for optimal probability measure decomposition
  282. DDA: Dimensionality Driven Augmentation Search for Contrastive Learning in Laparoscopic Surgery