mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 31 Jan 2025

317 papers

  1. TRADES: Generating Realistic Market Simulations with Diffusion ModelsDiffusion models → Flow matching, time series and science
  2. Accelerating LLM Inference with Lossless Speculative Decoding Algorithms for Heterogeneous VocabulariesEfficient LLM inference and serving → Speculative decoding
  3. Improving Rule-based Reasoning in LLMs using Neurosymbolic RepresentationsLLM reasoning → Reasoning benchmarks and evaluation
  4. STP: Self-play LLM Theorem Provers with Iterative Conjecturing and ProvingLLM reasoning → Mathematical reasoning +1
  5. Reward-aware Preference Optimization: A Unified Mathematical Framework for Model AlignmentLLM reasoning → Reinforcement learning for reasoning +1
  6. Spectral Analysis of Diffusion Models with Application to Schedule DesignDiffusion models → Diffusion foundations and sampling
  7. Resolving Editing-Unlearning Conflicts: A Knowledge Codebook Framework for Large Language Model UpdatingLLM safety and security → Machine unlearning
  8. A Checks-and-Balances Framework for Context-Aware Ethical AI AlignmentLLM alignment / RLHF / preference optimisation → Human values and AI feedback alignment
  9. Sparse Autoencoder Insights on Voice EmbeddingsMechanistic interpretability → SAE features and their applications
  10. Mobile Robot Navigation Using Hand-Drawn Maps: A Vision Language Model ApproachMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
  11. AIN: The Arabic INclusive Large Multimodal ModelMultimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  12. Efficient Beam Search for Large Language Models Using Trie-Based DecodingEfficient LLM inference and serving → KV cache optimization
  13. Low-Rank Adapting Models for Sparse AutoencodersMechanistic interpretability → SAE features and their applications
  14. Tackling Fake Forgetting through Uncertainty QuantificationLLM safety and security → Machine unlearning
  15. Vintix: Action Model via In-Context Reinforcement LearningDeep reinforcement learning methods → Deep RL algorithms and representations
  16. Do LLMs Strategically Reveal, Conceal, and Infer Information? A Theoretical and Empirical Analysis in The Chameleon GameLLM agents and tool use → Social simulation and multi-agent debate
  17. s1: Simple test-time scalingLLM reasoning → Test-time compute and efficient thinking
  18. Cache Me If You Must: Adaptive Key-Value Quantization for Large Language ModelsEfficient LLM inference and serving → KV cache optimization
  19. Beyond Fixed Horizons: A Theoretical Framework for Adaptive Denoising DiffusionsDiffusion models → Diffusion foundations and sampling
  20. CoSTI: Consistency Models for (a faster) Spatio-Temporal ImputationDiffusion models → Flow matching, time series and science
  21. The Energy Loss Phenomenon in RLHF: A New Perspective on Mitigating Reward HackingLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  22. Do Large Multimodal Models Solve Caption Generation for Scientific Figures? Lessons Learned from SciCap Challenge 2023Multimodal LLMs / vision-language models → MLLM training and visual instruction tuning
  23. PixelWorld: How Far Are We from Perceiving Everything as Pixels?LLM agents and tool use → Multimodal and embodied agents
  24. Pathological MRI Segmentation by Synthetic Pathological Data Generation in Fetuses and NeonatesDiffusion models → Medical imaging and segmentation
  25. Reward-Guided Speculative Decoding for Efficient LLM ReasoningLLM reasoning → Test-time compute and efficient thinking +2
  26. Judge Decoding: Faster Speculative Sampling Requires Going Beyond Model AlignmentLLM alignment / RLHF / preference optimisation → LLM preference optimization methods +1
  27. SETS: Leveraging Self-Verification and Self-Correction for Improved Test-Time ScalingLLM reasoning → Test-time compute and efficient thinking
  28. Pheromone-based Learning of Optimal Reasoning PathsLLM reasoning → Prompting and chain-of-thought reasoning
  29. Imagine with the Teacher: Complete Shape in a Multi-View Distillation WayKnowledge distillation → Detection and dense prediction distillation
  30. Jackpot! Alignment as a Maximal LotteryLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  31. Objective Metrics for Human-Subjects Evaluation in Explainable Reinforcement LearningDeep reinforcement learning methods → Interpretable and logic-guided RL
  32. Linear Q-Learning Does Not Diverge in L2: Convergence Rates to a Bounded SetDeep reinforcement learning methods → RL theory and sample complexity
  33. Inference-Time Text-to-Video Alignment with Diffusion Latent Beam SearchDiffusion models → Video generation
  34. SHARPIE: A Modular Framework for Reinforcement Learning and Human-AI Interaction ExperimentsDeep reinforcement learning methods → RL training of language and agent models
  35. Accelerating Diffusion Transformer via Error-Optimized CacheDiffusion models → Diffusion foundations and sampling
  36. Autonomous Legacy Web Application Upgrades Using a Multi-Agent SystemLLM agents and tool use → Software engineering coding agents
  37. Improving LLM Unlearning Robustness via Random PerturbationsLLM safety and security → Machine unlearning
  38. Efficient Reasoning with Hidden ThinkingLLM reasoning → Test-time compute and efficient thinking +1
  39. Enhancing Model Defense Against Jailbreaks with Proactive Safety ReasoningLLM reasoning → Reasoning for agents, planning and code +1
  40. PSyDUCK: Training-Free Steganography for Latent DiffusionDiffusion models → Robustness, privacy and adversarial aspects
  41. Poison as Cure: Visual Noise for Mitigating Object Hallucinations in LVMsMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  42. Imitation Game for Adversarial Disillusion with Chain-of-Thought Reasoning in Generative AILLM reasoning → Reasoning for agents, planning and code
  43. Decorrelated Soft Actor-Critic for Efficient Deep Reinforcement LearningDeep reinforcement learning methods → RL theory and sample complexity
  44. Shaping Sparse Rewards in Reinforcement Learning: A Semi-supervised ApproachDeep reinforcement learning methods → Deep RL algorithms and representations
  45. A Theoretical Justification for Asymmetric Actor-Critic AlgorithmsDeep reinforcement learning methods → RL theory and sample complexity
  46. Reinforcement Learning on Reconfigurable Hardware: Overcoming Material Variability in Laser Material ProcessingDeep reinforcement learning methods → RL for energy, networks and operations
  47. Ambient Denoising Diffusion Generative Adversarial Networks for Establishing Stochastic Object Models from Noisy Image DataDiffusion models → Medical imaging and segmentation
  48. Laser: Efficient Language-Guided Segmentation in Neural Radiance FieldsKnowledge distillation → Detection and dense prediction distillation
  49. MotionPCM: Real-Time Motion Synthesis with Phased Consistency ModelDiffusion models → Video generation
  50. Differentially Private Policy GradientDeep reinforcement learning methods → RL for energy, networks and operations
  51. Concept Steerers: Leveraging K-Sparse Autoencoders for Test-Time Controllable GenerationsMechanistic interpretability → Interpreting and steering diffusion models
  52. Optimizing Job Allocation using Reinforcement Learning with Graph Neural NetworksDeep reinforcement learning methods → RL for energy, networks and operations
  53. EgoMe: A New Dataset and Challenge for Following Me via Egocentric View in Real WorldOffline RL and imitation learning from data → Robot manipulation imitation learning
  54. Shift-Aware Calibration for Fine-Tuned CLIP: Leveraging Image-Text AlignmentMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  55. Enabling Autonomic Microservice Management through Self-Learning AgentsLLM agents and tool use → Software engineering coding agents
  56. Towards Physiologically Sensible Predictions via the Rule-based Reinforcement Learning LayerDeep reinforcement learning methods → RL for clinical treatment and surgery
  57. RedundancyLens: Revealing and Exploiting Visual Token Processing Redundancy for Efficient Decoder-Only MLLMsMultimodal LLMs / vision-language models → Visual token pruning and efficiency
  58. Benchmarking Gaslighting Negation Attacks Against Multimodal Large Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  59. Collaborative Diffusion Model for Recommender SystemDiffusion models → Diffusion recommenders
  60. Spend Wisely: Maximizing Post-Training Gains in Iterative Synthetic Data BootstrappingSynthetic data and self-improvement for LLMs → Model collapse from synthetic data
  61. Fantastic Targets for Concept Erasure in Diffusion Models and Where To Find ThemDiffusion models → Robustness, privacy and adversarial aspects +1
  62. Revisit Visual Prompt Tuning: The Expressiveness of Prompt ExpertsMixture-of-experts → Mixture of LoRA experts
  63. KBQA-o1: Agentic Knowledge Base Question Answering with Monte Carlo Tree SearchLLM agents and tool use → Web, search, and research agents
  64. LLM Program Optimization via Retrieval Augmented SearchRetrieval-augmented generation → RAG for code
  65. Rethinking Diffusion Posterior Sampling: From Conditional Score Estimator to Maximizing a PosteriorDiffusion models → Inverse problems and image restoration
  66. GestureLSM: Latent Shortcut based Co-Speech Gesture Generation with Spatial-Temporal ModelingDiffusion models → Audio, speech and music
  67. Towards Unified Attribution in Explainable AI, Data-Centric AI, and Mechanistic InterpretabilityMechanistic interpretability → Circuits and mechanistic analysis
  68. Predictive Prompt AnalysisMechanistic interpretability → SAE features and their applications
  69. RLS3: RL-Based Synthetic Sample Selection to Enhance Spatial Reasoning in Vision-Language Models for Indoor Autonomous PerceptionLLM reasoning → Multimodal reasoning +1
  70. Mitigating Sexual Content Generation via Embedding Distortion in Text-conditioned Diffusion ModelsDiffusion models → Robustness, privacy and adversarial aspects
  71. Best Policy Learning from Trajectory Preference FeedbackLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
  72. UP-VLA: A Unified Understanding and Prediction Model for Embodied AgentMultimodal LLMs / vision-language models → Embodied and 3D vision-language models +2
  73. REG: Rectified Gradient Guidance for Conditional Diffusion ModelsDiffusion models → Diffusion foundations and sampling
  74. Flatness Guided Test-Time Adaptation for Vision-Language ModelsMultimodal LLMs / vision-language models → Prompt learning and adaptation of CLIP
  75. Adaptivity and Convergence of Probability Flow ODEs in Diffusion Generative ModelsDiffusion models → Diffusion foundations and sampling
  76. BRiTE: Bootstrapping Reinforced Thinking Process to Enhance Language Model ReasoningLLM reasoning → Test-time compute and efficient thinking +1
  77. Reinforcement Learning of Flexible Policies for Symbolic Instructions with Adjustable Mapping SpecificationsDeep reinforcement learning methods → Interpretable and logic-guided RL
  78. Trading Inference-Time Compute for Adversarial RobustnessLLM reasoning → Reasoning for agents, planning and code
  79. Partially Rewriting a Transformer in Natural LanguageMechanistic interpretability → SAE features and their applications
  80. Constitutional Classifiers: Defending against Universal Jailbreaks across Thousands of Hours of Red TeamingLLM safety and security → Jailbreaking
  81. Pitfalls of defacing whole-head MRI: re-identification risk with diffusion models and compromised research potentialDiffusion models → Medical imaging and segmentation
  82. Transcoders Beat Sparse Autoencoders for InterpretabilityMechanistic interpretability → Sparse autoencoder training and evaluation
  83. Bridging the Reasoning Gap: Small LLMs Can Plan with Generalised StrategiesLLM reasoning → Reasoning for agents, planning and code
  84. The Model Counting Competitions 2021-2023
  85. In Pursuit of Predictive Models of Human Preferences Toward AI Teammates
  86. Towards Computer-Using Personal Agents
  87. Superhuman Game AI Disclosure: Expertise and Context Moderate Effects on Trust and Fairness
  88. Epistemic Logic Programs: Non-Ground and Counting Complexity
  89. SOK: Exploring Hallucinations and Security Risks in AI-Assisted Software Development with Insights for LLM Deployment
  90. DCentNet: Decentralized Multistage Biomedical Signal Classification using Early Exits
  91. Invariant Measures for Data-Driven Dynamical System Identification: Analysis and Application
  92. Adversarial Machine Learning: Attacking and Safeguarding Image Datasets
  93. Physically Interpretable Representation and Controlled Generation for Turbulence Data
  94. Employee Turnover Prediction: A Cross-component Attention Transformer with Consideration of Competitor Influence and Contagious Effect
  95. Longer Attention Span: Increasing Transformer Context Length with Sparse Graph Processing Techniques
  96. Large Language Models' Accuracy in Emulating Human Experts' Evaluation of Public Sentiments about Heated Tobacco Products on Social Media
  97. A binary PSO based ensemble under-sampling model for rebalancing imbalanced training data
  98. HackerRank-ASTRA: Evaluating Correctness & Consistency of Large Language Models on cross-domain multi-file project problems
  99. Should You Use Your Large Language Model to Explore or Exploit?
  100. Algorithmic Clustering based on String Compression to Extract P300 Structure in EEG Signals
All 317
  1. Fantastic Multi-Task Gradient Updates and How to Find Them In a Cone
  2. Gradient Heterogeneity Complements Hessian Heterogeneity in Transformer Optimization
  3. BICompFL: Stochastic Federated Learning with Bi-Directional Compression
  4. EcoWeedNet: A Lightweight and Automated Weed Detection Method for Sustainable Next-Generation Agricultural Consumer Electronics
  5. Nearly-Optimal Bandit Learning in Stackelberg Games with Side Information
  6. Year-over-Year Developments in Financial Fraud Detection via Deep Learning: A Systematic Literature Review
  7. Fairshare Data Pricing via Data Valuation for Large Language Models
  8. Learning Model Successors
  9. DermaSynth: Rich Synthetic Image-Text Pairs Using Open Access Dermatology Datasets
  10. Physics-Informed Neural Network based Damage Identification for Truss Railroad Bridges
  11. Byzantine-Resilient Zero-Order Optimization for Communication-Efficient Heterogeneous Federated Learning
  12. On the Effectiveness of Random Weights in Graph Neural Networks
  13. Understanding Federated Learning from IID to Non-IID dataset: An Experimental Study
  14. Evaluating Deep Human-in-the-Loop Optimization for Retinal Implants Using Sighted Participants
  15. The role of positional encodings in the ARC benchmark
  16. Lifting by Gaussians: A Simple, Fast and Flexible Method for 3D Instance Segmentation
  17. Distribution-Specific Agnostic Conditional Classification With Halfspaces
  18. Supervised Quadratic Feature Analysis: Information Geometry Approach for Dimensionality Reduction
  19. Improving Quality Control Of MRI Images Using Synthetic Motion Data
  20. ALBAR: Adversarial Learning approach to mitigate Biases in Action Recognition
  21. A Comprehensive Review: Applicability of Deep Neural Networks in Business Decision Making and Market Prediction Investment
  22. Multimodal MRI-Ultrasound AI for Prostate Cancer Detection Outperforms Radiologist MRI Interpretation: A Multi-Center Study
  23. Counting and Reasoning with Plans
  24. Demystifying MPNNs: Message Passing as Merely Efficient Matrix Multiplication
  25. Exploring Transfer Learning for Deep Learning Polyp Detection in Colonoscopy Images Using YOLOv8
  26. ProtoSnap: Prototype Alignment for Cuneiform Signs
  27. A Direct Semi-Exhaustive Search Method for Robust, Partial-to-Full Point Cloud Registration
  28. SAGRAD: A Program for Neural Network Training with Simulated Annealing and the Conjugate Gradient Method
  29. Tracking Most Significant Shifts in Infinite-Armed Bandits
  30. Disambiguating Numeral Sequences to Decipher Ancient Accounting Corpora
  31. Ensembles of Low-Rank Expert Adapters
  32. Re-Visiting Explainable AI Evaluation Metrics to Identify The Most Informative Features
  33. CerraData-4MM: A multimodal benchmark dataset on Cerrado for land use and land cover classification
  34. Advanced Assessment of Stroke in Retinal Fundus Imaging with Deep Multi-view Learning
  35. Deep Ensembling with Multimodal Image Fusion for Efficient Classification of Lung Cancer
  36. Influence of color correction on pathology detection in Capsule Endoscopy
  37. BTS: Harmonizing Specialized Experts into a Generalist LLM
  38. SpikingRTNH: Spiking Neural Network for 4D Radar Object Detection
  39. LLM Cyber Evaluations Don't Capture Real-World Risk
  40. Can AI Solve the Peer Review Crisis? A Large Scale Cross Model Experiment of LLMs' Performance and Biases in Evaluating over 1000 Economics Papers
  41. Privacy Preserving Charge Location Prediction for Electric Vehicles
  42. DAL: A Practical Prior-Free Black-Box Framework for Piecewise Stationary Bandits
  43. Scalable-Softmax Is Superior for Attention
  44. Federated Sketching LoRA: A Flexible Framework for Heterogeneous Collaborative Fine-Tuning of LLMs
  45. Multi-Frame Blind Manifold Deconvolution for Rotating Synthetic Aperture Imaging
  46. Decoding-based Regression
  47. LiDAR Loop Closure Detection using Semantic Graphs with Graph Attention Networks
  48. Using gradient of Lagrangian function to compute efficient channels for the ideal observer
  49. TableMaster: A Recipe to Advance Table Understanding with Language Models
  50. SELMA: A Speech-Enabled Language Model for Virtual Assistant Interactions
  51. Fixing the Double Penalty in Data-Driven Weather Forecasting Through a Modified Spherical Harmonic Loss Function
  52. We're Different, We're the Same: Creative Homogeneity Across LLMs
  53. Neural Implicit Solution Formula for Efficiently Solving Hamilton-Jacobi Equations
  54. An All-digital 8.6-nJ/Frame 65-nm Tsetlin Machine Image Classification Accelerator
  55. PUATE: Efficient Average Treatment Effect Estimation from Treated (Positive) and Unlabeled Units
  56. Covering Multiple Objectives with a Small Set of Solutions Using Bayesian Optimization
  57. Token-Level Entropy Reveals Demographic Disparities in Large Language Models
  58. What is causal about causal models and representations?
  59. The Value of Prediction in Identifying the Worst-Off
  60. Consistent Video Colorization via Palette Guidance
  61. Let Human Sketches Help: Empowering Challenging Image Segmentation Task with Freehand Sketches
  62. Capturing Temporal Dynamics in Large-Scale Canopy Tree Height Estimation
  63. A Generic Hybrid Framework for 2D Visual Reconstruction
  64. Language Bias in Self-Supervised Learning For Automatic Speech Recognition
  65. Advancing Dense Endoscopic Reconstruction with Gaussian Splatting-driven Surface Normal-aware Tracking and Mapping
  66. MINDSTORES: Memory-Informed Neural Decision Synthesis for Task-Oriented Reinforcement in Embodied Systems
  67. LLM-based Affective Text Generation Quality Based on Different Quantization Values
  68. Reverse Probing: Evaluating Knowledge Transfer via Finetuned Task Embeddings for Coreference Resolution
  69. An Efficient Approach for Machine Translation on Low-resource Languages: A Case Study in Vietnamese-Chinese
  70. Ontological analysis of proactive life event services
  71. Beyond checkmate: exploring the creative chokepoints in AI text
  72. Offline Learning for Combinatorial Multi-armed Bandits
  73. Synthetic User Behavior Sequence Generation with Large Language Models for Smart Homes
  74. Analysis of LLMs vs Human Experts in Requirements Engineering
  75. Differentially Private In-context Learning via Sampling Few-shot Mixed with Zero-shot Outputs
  76. OneBatchPAM: A Fast and Frugal K-Medoids Algorithm
  77. Application of Generative Adversarial Network (GAN) for Synthetic Training Data Creation to improve performance of ANN Classifier for extracting Built-Up pixels from Landsat Satellite Imagery
  78. Statistical Physics of Deep Neural Networks: Generalization Capability, Beyond the Infinite Width, and Feature Learning
  79. S-VOTE: Similarity-based Voting for Client Selection in Decentralized Federated Learning
  80. On Pareto Optimality for Parametric Choice Bandits
  81. Concept-Based Explainable Artificial Intelligence: Metrics and Benchmarks
  82. Medical Semantic Segmentation with Diffusion Pretrain
  83. mFollowIR: a Multilingual Benchmark for Instruction Following in Retrieval
  84. Neuro-LIFT: A Neuromorphic, LLM-based Interactive Framework for Autonomous Drone FlighT at the Edge
  85. VisualSpeech: Enhancing Prosody Modeling in TTS Using Video
  86. ContextFormer: Redefining Efficiency in Semantic Segmentation
  87. Clustering in hyperbolic balls
  88. Multi-agent Multi-armed Bandit with Fully Heavy-tailed Dynamics
  89. DINAMO: Dynamic and INterpretable Anomaly MOnitoring for Large-Scale Particle Physics Experiments
  90. Hourly Short Term Load Forecasting for Residential Buildings and Energy Communities
  91. LLM-RecG: A Semantic Bias-Aware Framework for Zero-Shot Sequential Recommendation
  92. Integrating Semi-Supervised and Active Learning for Semantic Segmentation
  93. Fast exact recovery of noisy matrix from few entries: the infinity norm approach
  94. Through the Looking Glass: LLM-Based Analysis of AR/VR Android Applications Privacy Policies
  95. E2Former: An Efficient and Equivariant Transformer with Linear-Scaling Tensor Products
  96. Strassen Attention, Split VC Dimension and Compositionality in Transformers
  97. A single-loop SPIDER-type stochastic subgradient method for expectation-constrained nonconvex nonsmooth optimization
  98. Spatial Supply Repositioning with Censored Demand Data
  99. Learning Sheaf Laplacian Optimizing Restriction Maps
  100. An Empirical Game-Theoretic Analysis of Autonomous Cyber-Defence Agents
  101. RIGNO: A Graph-based framework for robust and accurate operator learning for PDEs on arbitrary domains
  102. Single cell resolution 3D imaging and segmentation within intact live tissues
  103. A Variational Perspective on Generative Protein Fitness Optimization
  104. RaySplats: Ray Tracing based Gaussian Splatting
  105. Rethinking Early Stopping: Refine, Then Calibrate
  106. Secured Communication Schemes for UAVs in 5G: CRYSTALS-Kyber and IDS
  107. A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches
  108. Position: Curvature Matrices Should Be Democratized via Linear Operators
  109. A Compressive-Expressive Communication Framework for Compositional Representations
  110. Learning Non-Local Molecular Interactions via Equivariant Local Representations and Charge Equilibration
  111. No Foundations without Foundations -- Why semi-mechanistic models are essential for regulatory biology
  112. Augmented Intelligence for Multimodal Virtual Biopsy in Breast Cancer Using Generative Artificial Intelligence
  113. Locality-aware Surrogates for Gradient-based Black-box Optimization
  114. Physics-Informed Representation Alignment for Sparse Radio-Map Reconstruction
  115. GDO:Gradual Domain Osmosis
  116. A theoretical framework for overfitting in energy-based modeling
  117. SWAT: Sliding Window Adversarial Training for Gradual Domain Adaptation
  118. Test-Time Training Scaling Laws for Chemical Exploration in Drug Design
  119. On the inductive bias of infinite-depth ResNets and the bottleneck rank
  120. Improving Multi-Label Contrastive Learning by Leveraging Label Distribution
  121. Transformation trees -- documentation of multimodal image registration
  122. A Metric for the Balance of Information in Graph Learning
  123. Mixed Feelings: Cross-Domain Sentiment Classification of Patient Feedback
  124. RGB-Event ISP: The Dataset and Benchmark
  125. FedRTS: Federated Robust Pruning via Combinatorial Thompson Sampling
  126. Principal Components for Neural Network Initialization
  127. Logical Modalities within the European AI Act: An Analysis
  128. A Benchmark for Incremental Micro-expression Recognition
  129. Brain network science modelling of sparse neural networks enables Transformers and LLMs to perform as fully connected
  130. Relating Misfit to Gain in Weak-to-Strong Generalization Beyond the Squared Loss
  131. Neural Collapse Beyond the Unconstrained Features Model: Landscape, Dynamics, and Generalization in the Mean-Field Regime
  132. Elucidating Subspace Perturbation in Zeroth-Order Optimization: Theory and Practice at Scale
  133. ∞-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation
  134. PathE: Leveraging Entity-Agnostic Paths for Parameter-Efficient Knowledge Graph Embeddings
  135. Improving Low-Resource Sequence Labeling with Knowledge Fusion and Contextual Label Explanations
  136. FL-APU: A Software Architecture to Ease Practical Implementation of Cross-Silo Federated Learning
  137. Pivoting Factorization: A Compact Meta Low-Rank Representation of Sparsity for Efficient Inference in Large Language Models
  138. Resolving Oversmoothing with Opinion Dissensus
  139. JGHand: Joint-Driven Animatable Hand Avater via 3D Gaussian Splatting
  140. Fairness Analysis of CLIP-Based Foundation Models for X-Ray Image Classification
  141. A Bias-Correction Decentralized Stochastic Gradient Algorithm with Momentum Acceleration
  142. Temperature-Annealed Boltzmann Generators
  143. Pareto-frontier Entropy Search with Variational Lower Bound Maximization
  144. SpikingSoft: A Spiking Neuron Controller for Bio-inspired Locomotion with Soft Snake Robots
  145. Improving vision-language alignment with graph spiking hybrid Networks
  146. From Low Intrinsic Dimensionality to Non-Vacuous Generalization Bounds in Deep Multi-Task Learning
  147. BEAT: Balanced Frequency Adaptive Tuning for Long-Term Time-Series Forecasting
  148. Machine Learning in Gamma Astronomy
  149. TeZO: Empowering the Low-Rankness on the Temporal Dimension in the Zeroth-Order Optimization for Fine-tuning LLMs
  150. Text-to-CAD Generation Through Infusing Visual Feedback in Large Language Models
  151. Norm-Bounded Low-Rank Adaptation
  152. The Role of Graph-based MIL and Interventional Training in the Generalization of WSI Classifiers
  153. Understanding Model Calibration -- A gentle introduction and visual exploration of calibration and the expected calibration error (ECE)
  154. Self-Supervised Cross-Modal Text-Image Time Series Retrieval in Remote Sensing
  155. Swarm-Gen: Fast Generation of Diverse Feasible Swarm Behaviors
  156. Towards the Worst-case Robustness of Large Language Models
  157. Conformal Prediction in Hierarchical Classification with Constrained Representation Complexity
  158. SynthmanticLiDAR: A Synthetic Dataset for Semantic Segmentation on LiDAR Imaging
  159. XRF V2: A Dataset for Action Summarization with Wi-Fi Signals, and IMUs in Phones, Watches, Earbuds, and Glasses
  160. Error Slice Discovery via Manifold Compactness
  161. True Online TD-Replan(lambda) Achieving Planning through Replaying
  162. On the Impact of Noise in Differentially Private Text Rewriting
  163. Scalable Multi-phase Word Embedding Using Conjunctive Propositional Clauses
  164. Importing Phantoms: Measuring LLM Package Hallucination Vulnerabilities
  165. DyPCL: Dynamic Phoneme-level Contrastive Learning for Dysarthric Speech Recognition
  166. Virtual airways heatmaps to optimize point of entry location in lung biopsy planning systems
  167. Quantum SMOTE with Angular Outliers: Redefining Minority Class Handling
  168. Adversarial Attacks on AI-Generated Text Detection Models: A Token Probability-Based Approach Using Embeddings
  169. VKFPos: A Learning-Based Monocular Positioning with Variational Bayesian Extended Kalman Filter Integration
  170. Visual Autoregressive Modeling for Image Super-Resolution
  171. Optimal Transport-based Conformal Prediction
  172. Permutation-Based Rank Test in the Presence of Discretization and Application in Causal Discovery with Mixed Data
  173. Context Matters: Query-aware Dynamic Long Sequence Modeling of Gigapixel Images
  174. OmniPhysGS: 3D Constitutive Gaussians for General Physics-Based Dynamics Generation
  175. Symmetric Pruning of Large Language Models
  176. Meta-learning of shared linear representations beyond well-specified linear regression
  177. GPO-VAE: Modeling Explainable Gene Perturbation Responses utilizing GRN-Aligned Parameter Optimization
  178. BCAT: A Block Causal Transformer for PDE Foundation Models for Fluid Dynamics
  179. The Surprising Agreement Between Convex Optimization Theory and Learning-Rate Scheduling for Large Model Training
  180. Time-Varying Bayesian Optimization Without a Metronome
  181. Enhancing Neural Function Approximation: The XNet Outperforming KAN
  182. Intrinsic Tensor Field Propagation in Large Language Models: A Novel Approach to Contextual Information Flow
  183. Deep Learning based Quasi-consciousness Training for Robot Intelligent Model
  184. LLMDet: Learning Strong Open-Vocabulary Object Detectors under the Supervision of Large Language Models
  185. Solving Inverse Problem for Multi-armed Bandits via Convex Optimization
  186. O-MAPL: Offline Multi-agent Preference Learning
  187. TV-Dialogue: Crafting Theme-Aware Video Dialogues with Immersive Interaction
  188. TabFSBench: Tabular Benchmark for Feature Shifts in Open Environments
  189. Training-free Quantum-Inspired Image Edge Extraction Method
  190. Language Games as the Pathway to Artificial Superhuman Intelligence
  191. Full-scale Representation Guided Network for Retinal Vessel Segmentation
  192. Deepfake Detection of Singing Voices With Whisper Encodings
  193. Algebra Unveils Deep Learning -- An Invitation to Neuroalgebraic Geometry
  194. Scaling Laws for Differentially Private Language Models
  195. Lightspeed Geometric Dataset Distance via Sliced Optimal Transport
  196. Statistical Inference for Generative Model Comparison
  197. Efficient Supernet Training with Orthogonal Softmax for Scalable ASR Model Compression
  198. A machine learning approach for Premature Coronary Artery Disease Diagnosis according to Different Ethnicities in Iran
  199. CAAT-EHR: Cross-Attentional Autoregressive Transformer for Multimodal Electronic Health Record Embeddings
  200. Understanding Generalization in Physics Informed Models through Affine Variety Dimensions
  201. QMe14S, A Comprehensive and Efficient Spectral Dataset for Small Organic Molecules
  202. Self-Supervised Learning Using Nonlinear Dependence
  203. Neural SDEs as a Unified Approach to Continuous-Domain Sequence Modeling
  204. Continuous-Time Analysis of Federated Averaging
  205. A Deep Spatio-Temporal Architecture for Dynamic Effective Connectivity Network Analysis Based on Dynamic Causal Discovery
  206. FlexiCrackNet: A Flexible Pipeline for Enhanced Crack Segmentation with General Features Transfered from SAM
  207. Project-and-Fuse: Improving RGB-D Semantic Segmentation via Graph Convolution Networks
  208. Text Data Augmentation for Large Language Models: A Comprehensive Survey of Methods, Challenges, and Opportunities
  209. Transfer Learning for Nonparametric Contextual Dynamic Pricing
  210. Early Diagnosis and Severity Assessment of Weligama Coconut Leaf Wilt Disease and Coconut Caterpillar Infestation using Deep Learning-based Image Processing Techniques
  211. Structural Embedding Projection for Contextual Large Language Model Inference
  212. Memory-Efficient Fine-Tuning of Transformers via Token Selection
  213. An Optimal Cascade Feature-Level Spatiotemporal Fusion Strategy for Anomaly Detection in CAN Bus
  214. Large Language Models as Common-Sense Heuristics
  215. An Adversarial Approach to Register Extreme Resolution Tissue Cleared 3D Brain Images
  216. Estimating the Probability of Sampling a Trained Neural Network at Random
  217. Learning Hamiltonian Dynamics with Bayesian Data Assimilation