mlsanityData to 14 Oct 2026

Papers

New on arXiv

Fri 29 Aug 2025

257 papers

  1. APRIL: API Synthesis with Automatic Prompt Optimization and Reinforcement LearningDeep reinforcement learning methods → RL training of language and agent models
  2. Standard vs. Modular Sampling: Best Practices for Reliable LLM UnlearningLLM safety and security → Machine unlearning
  3. Evaluation of Large Language Models for Anomaly Detection in Autonomous VehiclesEnd-to-end autonomous driving → Large language models for driving
  4. ManipDreamer3D : Synthesizing Plausible Robotic Manipulation Video with Occupancy-aware 3D TrajectoryDiffusion models → Diffusion and flow policies for robotics
  5. RECAP: REwriting Conversations for Intent Understanding in Agentic PlanningLLM agents and tool use → General LLM agent frameworks and benchmarks
  6. Multi-Modal Vision vs. Text-Based Parsing: Benchmarking LLM Strategies for Invoice ProcessingMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  7. Evaluating Large Language Models for Financial Reasoning: A CFA-Based Benchmark StudyLLM reasoning → Reasoning for agents, planning and code +1
  8. PDTrim: Targeted Pruning for Prefill-Decode Disaggregation in InferenceEfficient LLM inference and serving → Early exit and edge inference
  9. Generative AI for Industrial Contour Detection: A Language-Guided Vision SystemMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
  10. Exploring Reasoning-Infused Text Embedding with Large Language Models for Zero-Shot Dense RetrievalLLM reasoning → Knowledge- and tool-augmented reasoning
  11. 3D-LATTE: Latent Space 3D Editing from Textual InstructionsDiffusion models → 3D, point cloud and scene generation
  12. Instruction-Level Weight Shaping: A Framework for Self-Improving AI AgentsRetrieval-augmented generation → Agentic RAG, agents and memory +2
  13. The Rarity Blind Spot: A Framework for Evaluating Statistical Reasoning in LLMsLLM reasoning → Knowledge- and tool-augmented reasoning
  14. Universal Deep Research: Bring Your Own Model and StrategyLLM agents and tool use → Web, search, and research agents
  15. First Order Model-Based RL through Decoupled BackpropagationDeep reinforcement learning methods → RL theory and sample complexity
  16. From TLinFormer to TConstFormer: The Leap to Constant-Time Transformer Attention: Achieving O(1) Computation and O(1) KV Cache during Autoregressive InferenceEfficient LLM inference and serving → KV cache optimization
  17. FastTTS: Accelerating Test-Time Scaling for Edge LLM ReasoningLLM reasoning → Reasoning for agents, planning and code +1
  18. Safe-LLaVA: A Privacy-Preserving Vision-Language Dataset and Benchmark for Biometric SafetyMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness
  19. Explainable Chain-of-Thought Reasoning: An Empirical Analysis on State-Aware Reasoning DynamicsLLM reasoning → Prompting and chain-of-thought reasoning
  20. HiVA: Self-organized Hierarchical Variable Agent via Goal-driven Semantic-Topological EvolutionLLM agents and tool use → General LLM agent frameworks and benchmarks
  21. FNODE: Flow-Matching for data-driven simulation of constrained multibody systemsDiffusion models → Diffusion and flow policies for robotics
  22. Category-level Text-to-Image Retrieval Improved: Bridging the Domain Gap with Diffusion Models and Vision EncodersDiffusion models → Image generation, text-to-image and editing
  23. CoComposer: LLM Multi-agent Collaborative Music CompositionLLM agents and tool use → Multimodal and embodied agents
  24. Know When to Explore: Difficulty-Aware Certainty as a Guide for LLM Reinforcement LearningLLM reasoning → Reinforcement learning for reasoning
  25. A Whole New World: Creating a Parallel-Poisoned Web Only AI-Agents Can SeeLLM agents and tool use → Agent threats, guardrails and governance
  26. DriveQA: Passing the Driving Knowledge TestEnd-to-end autonomous driving → VLMs for autonomous driving
  27. Automated Clinical Problem Detection from SOAP Notes using a Collaborative Multi-Agent LLM ArchitectureLLM agents and tool use → Medical and scientific domain agents
  28. DMGIN: How Multimodal LLMs Enhance Large Recommendation Models for Lifelong User Post-click BehaviorsMultimodal LLMs / vision-language models → Document understanding and multimodal RAG
  29. Tree-Guided Diffusion PlannerDiffusion models → Diffusion and flow policies for robotics
  30. DynaMark: A Reinforcement Learning Framework for Dynamic Watermarking in Industrial Machine Tool ControllersDeep reinforcement learning methods → Deep RL algorithms and representations
  31. MoE-Health: A Mixture of Experts Framework for Robust Multimodal Healthcare PredictionMixture-of-experts → Medical and biomedical MoE
  32. PiCSAR: Probabilistic Confidence Selection And Ranking for Reasoning ChainsLLM reasoning → Test-time compute and efficient thinking
  33. UItron: Foundational GUI Agent with Advanced Perception and PlanningLLM agents and tool use → GUI and mobile agents
  34. Reasoning-Intensive RegressionLLM reasoning → Reasoning benchmarks and evaluation
  35. Towards Operational Validation of LLM-Agent Social Simulations: A Replicated Study of a Reddit-like Technology ForumLLM agents and tool use → Social simulation and multi-agent debate
  36. CAD2DMD-SET: Synthetic Generation Tool of Digital Measurement Device CAD Model Datasets for fine-tuning Large Vision-Language ModelsMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
  37. OptMark: Robust Multi-bit Diffusion Watermarking via Inference Time OptimizationLLM safety and security → Watermarking generated content and models
  38. FLORA: Efficient Synthetic Data Generation for Object Detection in Low-Data Regimes via finetuning Flux LoRADiffusion models → Image generation, text-to-image and editing
  39. Accelerating Mixture-of-Experts Inference by Hiding Offloading Latency with Speculative DecodingMixture-of-experts → Efficient MoE training and inference systems +1
  40. Cybersecurity AI: Hacking the AI Hackers via Prompt InjectionLLM safety and security → Prompt injection and agent security
  41. Detecting Stealthy Data Poisoning Attacks in AI Code GeneratorsLLM safety and security → Backdoor and data poisoning attacks
  42. Learning Agile Gate Traversal via Analytical Optimal Policy GradientDeep reinforcement learning methods → RL for robot navigation and UAV control
  43. Temporal Flow Matching for Learning Spatio-Temporal Trajectories in 4D Longitudinal Medical ImagingDiffusion models → Medical imaging and segmentation
  44. Agentic Discovery and Validation of Android App VulnerabilitiesLLM agents and tool use → Agent threats, guardrails and governance
  45. How Well Do Vision--Language Models Understand Cities? A Comparative Study on Spatial Reasoning from Street-View ImagesLLM reasoning → Spatial and embodied reasoning
  46. Complete Gaussian Splats from a Single Image with Denoising Diffusion ModelsDiffusion models → 3D, point cloud and scene generation
  47. Spiking Decision Transformers: Local Plasticity, Phase-Coding, and Dendritic Routing for Low-Power Sequence ControlOffline RL and imitation learning from data → Decision transformers and sequence modeling +1
  48. Few-Shot Neuro-Symbolic Imitation Learning for Long-Horizon Planning and ActingOffline RL and imitation learning from data → Robot manipulation imitation learning
  49. ELV-Halluc: Benchmarking Semantic Aggregation Hallucinations in Long Video UnderstandingMultimodal LLMs / vision-language models → Hallucination mitigation in LVLMs
  50. Rethinking Calibration for Early-Exit Neural NetworksEfficient LLM inference and serving → Early exit and edge inference
  51. Priors Matter: Addressing Misspecification in Bayesian Deep Q-LearningDeep reinforcement learning methods → RL theory and sample complexity
  52. Igniting Creative Writing in Small Language Models: LLM-as-a-Judge versus Multi-Agent Refined RewardsLLM agents and tool use → General LLM agent frameworks and benchmarks +1
  53. MMSearch-Plus: Benchmarking Provenance-Aware Search for Multimodal Browsing AgentsLLM reasoning → Multimodal reasoning +1
  54. When Models Refuse: Political Steerability and Feature Richness as Measures of Ideological DepthLLM safety and security → Safety alignment, refusal and guardrails +1
  55. Beyond expected value: geometric mean optimization for long-term policy performance in reinforcement learningDeep reinforcement learning methods → RL theory and sample complexity
  56. The Complexity Trap: Simple Observation Masking Is as Efficient as LLM Summarization for Agent Context ManagementLLM agents and tool use → General LLM agent frameworks and benchmarks
  57. Med-RewardBench: Benchmarking Reward Models and Judges for Medical Multimodal Large Language ModelsMultimodal LLMs / vision-language models → Medical vision-language models +1
  58. Automatic Reviewers Fail to Detect Faulty Reasoning in Research Papers: A New Counterfactual Evaluation FrameworkLLM reasoning → Knowledge- and tool-augmented reasoning
  59. RoboInspector: Unveiling the Unreliability of Policy Code for LLM-enabled Robotic ManipulationLLM reasoning → Spatial and embodied reasoning
  60. Think in Games: Learning to Reason in Games via Reinforcement Learning with Large Language ModelsLLM reasoning → Reasoning for agents, planning and code
  61. Efficient Diffusion-Based 3D Human Pose Estimation with Hierarchical Temporal PruningDiffusion models → 3D, point cloud and scene generation
  62. Stage-Diff: Stage-wise Long-Term Time Series Generation Based on Diffusion ModelsDiffusion models → Flow matching, time series and science
  63. Distribution-Aware Feature Selection for SAEsMechanistic interpretability → Sparse autoencoder training and evaluation
  64. LLM-driven Provenance Forensics for Threat Investigation and DetectionLLM agents and tool use → Agent threats, guardrails and governance
  65. Convergence of regularized agent-state-based Q-learning in POMDPsDeep reinforcement learning methods → RL theory and sample complexity
  66. ORCA: ORchestrating Causal AgentLLM agents and tool use → Medical and scientific domain agents
  67. Locus: Agentic Predicate Synthesis for Directed FuzzingLLM agents and tool use → Software engineering coding agents
  68. Improving Fisher Information Estimation and Efficiency for LoRA-based LLM UnlearningLLM safety and security → Machine unlearning
  69. Comparative Analysis of Large Language Models for the Machine-Assisted Resolution of User Intentions
  70. Deep Learning Based Approach to Enhanced Recognition of Emotions and Behavioral Patterns of Autistic Children
  71. Next Point-of-interest (POI) Recommendation Model Based on Multi-modal Spatio-temporal Context Feature Embedding
  72. EPIC: Generative AI Platform for Accelerating HPC Operational Data Analytics
  73. PowerGrow: Feasible Co-Growth of Structures and Dynamics for Power Grid Synthesis
  74. AegisShield: Democratizing Cyber Threat Modeling with Generative AI
  75. An Interval Type-2 Version of Bayes Theorem Derived from Interval Probability Range Estimates Provided by Subject Matter Experts
  76. A layered architecture for log analysis in complex IT systems
  77. Reshaping the Forward-Forward Algorithm with a Similarity-Based Objective
  78. Revisiting Deepfake Detection: Chronological Continual Learning and the Limits of Generalization
  79. Toward Reproducible Cross-Backend Compatibility for Deep Learning: A Configuration-First Framework with Three-Tier Verification
  80. A Knowledge-Guided Cross-Modal Feature Fusion Model for Local Traffic Demand Prediction
  81. VILOD: A Visual Interactive Labeling Tool for Object Detection
  82. SpeechLLM: Unified Speech and Language Model for Enhanced Multi-Task Understanding in Low Resource Settings
  83. MOSAIC: A Multilingual, Taxonomy-Agnostic, and Computationally Efficient Approach for Radiological Report Classification
  84. COCORELI: Enforcing Execution Preconditions for Reliable Collaborative Instruction Following
  85. An exact multiple-time-step variational formulation for the committor and the transition rate
  86. Lessons Learned from Deploying Adaptive Machine Learning Agents with Limited Data for Real-time Cell Culture Process Monitoring
  87. Synthetic Founders: AI-Generated Social Simulations for Startup Validation Research in Computational Social Science
  88. Foundation Model-Driven Classification of Atypical Mitotic Figures with Domain-Aware Training Strategies
  89. Team Westwood Solution for MIDOG 2025 Challenge: An Ensemble-CNN-Based Approach For Mitosis Detection And Classification
  90. RF-DETR for Robust Mitotic Figure Detection: A MIDOG 2025 Track 1 Approach
  91. MIDOG 2025: Mitotic Figure Detection with Attention-Guided False Positive Correction
  92. Solutions for Mitotic Figure Detection and Atypical Classification in MIDOG 2025
  93. ConvNeXt with Histopathology-Specific Augmentations for Mitotic Figure Classification
  94. OpenAIs HealthBench in Action: Evaluating an LLM-Based Medical Assistant on Realistic Clinical Queries
  95. Robust Pan-Cancer Mitotic Figure Detection with YOLOv12
  96. Beyond Synthetic Augmentation: Group-Aware Threshold Calibration for Robust Balanced Accuracy in Imbalanced Learning
  97. Ensemble of Pathology Foundation Models for MIDOG 2025 Track 2: Atypical Mitosis Classification
  98. ReLATE: Accelerating Tensor Decomposition via Safe and Efficient Learning of Sparse Encodings
  99. SABER: A SQL-Compatible Semantic Document Processing System Based on Extended Relational Algebra
  100. SHERPA: A Model-Driven Framework for Large Language Model Execution
All 257
  1. Remotely sensing stress evolution in elastic media: a passive approach to earthquake monitoring
  2. The Nondecreasing Rank
  3. Probit Monotone BART
  4. Quantum-Optimized Selective State Space Model for Efficient Time Series Prediction
  5. Assessing One-Dimensional Cluster Stability by Extreme-Point Trimming
  6. The Temporal Game: A New Perspective on Temporal Relation Extraction
  7. The Differential Meaning of Models: A Framework for Analyzing the Structural Consequences of Semantic Modeling Decisions
  8. Criteria for Credible AI-assisted Carbon Footprinting Systems: The Cases of Mapping and Lifecycle Modeling
  9. Feature Augmentations for High-Dimensional Learning
  10. A High-Accuracy Fast Hough Transform with Linear-Log-Cubed Computational Complexity for Arbitrary-Shaped Images
  11. Evaluating the Effectiveness of Transformer Layers in Wav2Vec 2.0, XLS-R, and Whisper for Speaker Identification Tasks
  12. GraViT: Transfer Learning with Vision Transformers and MLP-Mixer for Strong Gravitational Lens Discovery
  13. Speech Foundation Models Generalize to Time Series Tasks from Wearable Sensor Data
  14. Embodied AI in Social Spaces: Responsible and Adaptive Robots in Complex Setting -- UKAIRS 2025 (Copy)
  15. Learning to Shard: RL for Co-optimizing the Parallelism Degrees and Per-operator Sharding Dimensions in Distributed LLM Inference
  16. Multimodal Deep Learning for Phyllodes Tumor Classification from Ultrasound and Clinical Data
  17. Beyond Pixels: Introducing Geometric-Semantic World Priors for Video-based Embodied Models via Spatio-temporal Alignment
  18. WoSNN: Stochastic Solver for PDEs with Machine Learning
  19. Estimating Parameter Fields in Multi-Physics PDEs from Scarce Measurements
  20. Simulation-based inference of yeast centromeres
  21. Algorithm Adaptation Bias in Recommendation System Online Experiments
  22. Generalizable Audio Spoofing Detection using Non-Semantic Representations
  23. What Are Research Hypotheses?
  24. Virtual Group Knowledge and Group Belief in Topological Evidence Models (Extended Version)
  25. Newton-Flow Particle Filters based on Generalized Cram'er Distance
  26. Playing Markov Games Without Observing Payoffs
  27. Waste-Bench: A Comprehensive Benchmark for Evaluating VLLMs in Cluttered Environments
  28. Principled Approximation Methods for Efficient and Scalable Deep Learning
  29. Pilot Study on Generative AI and Critical Thinking in Higher Education Classrooms
  30. Scaling Legal AI: Benchmarking Mamba and Transformers for Statutory Classification and Case Law Retrieval
  31. LLM-based Zero-shot Triple Extraction for Automated Ontology Generation from Software Engineering Standards
  32. Optimizing Health Coverage in Ethiopia: A Learning-augmented Approach and Persistent Proportionality Under an Online Budget
  33. Self-supervised large-scale kidney abnormality detection in drug safety assessment studies
  34. Friend or Foe
  35. The Demon is in Ambiguity: Revisiting Situation Recognition with Single Positive Multi-Label Learning
  36. Achieving Hilbert-Schmidt Independence Under R'enyi Differential Privacy for Fair and Private Data Generation
  37. QR-LoRA: QR-Based Low-Rank Adaptation for Efficient Fine-Tuning of Large Language Models
  38. VoCap: Video Object Captioning and Segmentation from Any Prompt
  39. Considerations for Estimating Causal Effects of Informatively Timed Treatments
  40. TMUAD: Enhancing Logical Capabilities in Unified Anomaly Detection Models with a Text Memory Bank
  41. Going over Fine Web with a Fine-Tooth Comb: Technical Report of Indexing Fine Web for Problematic Content Search and Retrieval
  42. Learning Unified Representations from Heterogeneous Data for Robust Heart Rate Modeling
  43. Benchmarking GPT-5 in Radiation Oncology: Measurable Gains, but Persistent Need for Expert Oversight
  44. A Multi-Stage Fine-Tuning and Ensembling Strategy for Pancreatic Tumor Segmentation in Diagnostic and Therapeutic MRI
  45. Unsupervised Video Continual Learning via Non-Parametric Deep Embedded Clustering
  46. UniMLR: Modeling Implicit Class Significance for Multi-Label Ranking
  47. What Can We Learn from Harry Potter? An Exploratory Study of Visual Representation Learning from Atypical Videos
  48. Domain Generalization in-the-Wild: Disentangling Classification from Domain-Aware Representations
  49. Learning from Silence and Noise for Visual Sound Source Localization
  50. Orientability of Causal Relations in Time Series using Summary Causal Graphs and Faithful Distributions
  51. Not All Parameters Are Created Equal: Smart Isolation Boosts Fine-Tuning Performance
  52. Neural Network Acceleration on MPSoC board: Integrating SLAC's SNL, Rogue Software and Auto-SNL
  53. From Drone Imagery to Livability Mapping: AI-powered Environment Perception in Rural China
  54. Developer Insights into Designing AI-Based Computer Perception Tools
  55. Freeze and Conquer: Reusable Ansatz for Solving the Traveling Salesman Problem
  56. Inferring Effects of Major Events through Discontinuity Forecasting of Population Anxiety
  57. PosterForest: Hierarchical Multi-Agent Collaboration for Scientific Poster Generation
  58. Entropy-Based Non-Invasive Reliability Monitoring of Convolutional Neural Networks
  59. Activation Subspaces for Out-of-Distribution Detection
  60. Why Stop at Words? Unveiling the Bigger Picture through Line-Level OCR
  61. Mapping like a Skeptic: Probabilistic BEV Projection for Online HD Mapping
  62. Towards Interactive Lesion Segmentation in Whole-Body PET/CT with Promptable Models
  63. Is this chart lying to me? Automating the detection of misleading visualizations
  64. A Soft Inducement Framework for Incentive-Aided Steering of No-Regret Players
  65. Harnessing IoT and Generative AI for Weather-Adaptive Learning in Climate Resilience Education
  66. Trajectory learning for ensemble forecasts via the continuous ranked probability score: a Lorenz '96 case study
  67. Surface Stability Modeling with Universal Machine Learning Interatomic Potentials: A Comprehensive Cleavage Energy Benchmarking Study
  68. Unfolding Framework with Complex-Valued Deformable Attention for High-Quality Computer-Generated Hologram Generation
  69. I Stolenly Swear That I Am Up to (No) Good: Design and Evaluation of Model Stealing Attacks
  70. Machine Intelligence on the Edge: Interpretable Cardiac Pattern Localisation Using Reinforcement Learning
  71. Predicting Social Media Engagement from Emotional and Temporal Features
  72. Leveraging Imperfection with MEDLEY A Multi-Model Approach Harnessing Bias in Medical AI
  73. A-MHA*: Anytime Multi-Heuristic A*
  74. The Rosario Dataset v2: Multimodal Dataset for Agricultural Robotics
  75. QZhou-Embedding Technical Report
  76. Personality Matters: User Traits Predict LLM Preferences in Multi-Turn Collaborative Tasks
  77. Integrating Large Language Models with Network Optimization for Interactive and Explainable Supply Chain Planning: A Real-World Case Study
  78. Introduction to the Analysis of Probabilistic Decision-Making Algorithms
  79. Physics-Informed Spectral Modeling for Hyperspectral Imaging
  80. Adapting to Change: A Comparison of Continual and Transfer Learning for Modeling Building Thermal Dynamics under Concept Drifts
  81. Scalable Solution Methods for Dec-POMDPs with Deterministic Dynamics
  82. Middo: Model-Informed Dynamic Data Optimization for Enhanced LLM Fine-Tuning via Closed-Loop Learning
  83. A Survey on Current Trends and Recent Advances in Text Anonymization
  84. Integrating Pathology and CT Imaging for Personalized Recurrence Risk Prediction in Renal Cancer
  85. Convergence of Stochastic Gradient Methods for Wide Two-Layer Physics-Informed Neural Networks for the Poisson Equation
  86. OASIS: Harnessing Diffusion Adversarial Network for Ocean Salinity Imputation using Sparse Drifter Trajectories
  87. L3Cube-MahaSTS: A Marathi Sentence Similarity Dataset and Models
  88. NSPDI-SNN: An efficient lightweight SNN based on nonlinear synaptic pruning and dendritic integration
  89. Revisiting Landmarks: Learning from Previous Plans to Generalize over Problem Instances
  90. Summarize-Exemplify-Reflect: Data-driven Insight Distillation Empowers LLMs for Few-shot Tabular Classification
  91. Limitations of Physics-Informed Neural Networks: a Study on Smart Grid Surrogation
  92. ECHO: Ego-Centric modeling of Human-Object interactions
  93. Comprehensive Signal Quality Evaluation of a Wearable Textile ECG Garment: A Sex-Balanced Study
  94. EZ-Sort: Efficient Pairwise Comparison via Zero-Shot CLIP-Based Pre-Ordering and Human-in-the-Loop Sorting
  95. What Data is Really Necessary? A Feasibility Study of Inference Data Minimization for Recommender Systems
  96. HealthProcessAI: A Technical Framework and Proof-of-Concept for LLM-Enhanced Healthcare Process Mining
  97. HCCM: Hierarchical Cross-Granularity Contrastive and Matching Learning for Natural Language-Guided Drones
  98. Adaptive generative moment matching networks for improved learning of dependence structures
  99. Maybe you don't need a U-Net: convolutional feature upsampling for materials micrograph segmentation
  100. Binary Weight Multi-Bit Activation Quantization for Compute-in-Memory CNN Accelerators
  101. Counterfactual Scenarios for Automated Planning
  102. Modeling Wise Decision Making: A Z-Number Fuzzy Framework Inspired by Phronesis
  103. A Geometric Perspective on the Difficulties of Learning GNN-based SAT Solvers
  104. Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches
  105. Data-driven Discovery of Digital Twins in Biomedical Research
  106. HSFN: Hierarchical Selection for Fake News Detection building Heterogeneous Ensemble
  107. Adversarial Patch Attack for Ship Detection via Localized Augmentation
  108. Controllable 3D Molecular Generation for Structure-Based Drug Design Through Bayesian Flow Networks and Gradient Integration
  109. Normalized Maximum Likelihood Code-Length on Riemannian Data Spaces
  110. Multi-Method Ensemble for Out-of-Distribution Detection
  111. Diffusion-based Multi-modal Synergy Interest Network for Click-through Rate Prediction
  112. Federated Fine-tuning of SAM-Med3D for MRI-based Dementia Classification
  113. Morae: Proactively Pausing UI Agents for User Choices
  114. From Canonical to Complex: Benchmarking LLM Capabilities in Undergraduate Thermodynamics
  115. MM-SeR: Multimodal Self-Refinement for Lightweight Image Captioning
  116. Learning Lifted Action Models From Traces of Incomplete Actions and States
  117. Scale-GS: Efficient Scalable Gaussian Splatting via Redundancy-filtering Training on Streaming Content
  118. A General Framework of Epistemic Forgetting and its Instantiation by Ranking Functions
  119. Quantum enhanced ensemble GANs for anomaly detection in continuous biomanufacturing
  120. Trees as Gaussians: Large-Scale Individual Tree Mapping
  121. Discovering Semantic Subdimensions through Disentangled Conceptual Representations
  122. MedShift: Implicit Conditional Transport for X-Ray Domain Adaptation
  123. Unsupervised Incremental Learning Using Confidence-Based Pseudo-Labels
  124. Rethinking Layer-wise Model Merging through Chain of Merges
  125. Benchmarking the State of Networks with a Low-Cost Method Based on Reservoir Computing
  126. From slides to AI-ready maps: Standardized multi-layer tissue maps as metadata for artificial intelligence in digital pathology
  127. CARJAN: Agent-Based Generation and Simulation of Traffic Scenarios with AJAN
  128. DRASP: A Dual-Resolution Attentive Statistics Pooling Framework for Automatic MOS Prediction
  129. SatDINO: A Deep Dive into Self-Supervised Pretraining for Remote Sensing
  130. Identifying Surgical Instruments in Laparoscopy Using Deep Learning Instance Segmentation
  131. GLENDA: Gynecologic Laparoscopy Endometriosis Dataset
  132. PMODE: Theoretically Grounded and Modular Mixture Modeling
  133. AI Compute Architecture and Evolution Trends
  134. VeriLoRA: Fine-Tuning Large Language Models with Verifiable Security via Zero-Knowledge Proofs
  135. AllSummedUp: un framework open-source pour comparer les metriques d'evaluation de resume
  136. Normality and the Turing Test
  137. The Algorithm Is Not the Behavior: Learned Priors Override Look-Ahead in a Chess-Playing Neural Network
  138. Challenges and Applications of Large Language Models: A Comparison of GPT and DeepSeek family of models
  139. AHELM: A Holistic Evaluation of Audio-Language Models
  140. Faster Inference of Cell Complexes from Flows via Matrix Factorization
  141. Print2Volume: Generating Synthetic OCT-based 3D Fingerprint Volume from 2D Fingerprint Image
  142. EconAgentic in DePIN Markets: A Large Language Model Approach to the Sharing Economy of Decentralized Physical Infrastructure
  143. Adaptive Heavy-Tailed Stochastic Gradient Descent
  144. ARGS: Advanced Regularization on Aligning Gaussians over the Surface
  145. DLGAN : Time Series Synthesis Based on Dual-Layer Generative Adversarial Networks
  146. Stairway to Fairness: Connecting Group and Individual Fairness
  147. Quantum-Enhanced Natural Language Generation: A Multi-Model Framework with Hybrid Quantum-Classical Architectures
  148. Multi-Ontology Integration with Dual-Axis Propagation for Medical Concept Representation
  149. MultiFluxAI Enhancing Platform Engineering with Advanced Agent-Orchestrated Retrieval Systems
  150. MyGO: Memory Yielding Generative Offline-consolidation for Lifelong Learning Systems
  151. BLUEX Revisited: Enhancing Benchmark Coverage with Automatic Captioning
  152. Efficient Code Embeddings from Code Generation Models
  153. A Financial Brain Scan of the LLM
  154. Detecting Domain Shifts in Myoelectric Activations: Challenges and Opportunities in Stream Learning
  155. CALM: A Framework for Continuous, Adaptive, and LLM-Mediated Anomaly Detection in Time-Series Streams
  156. Mini Autonomous Car Driving based on 3D Convolutional Neural Networks
  157. Guess-and-Learn (G&L): Measuring the Cumulative Error Cost of Cold-Start Adaptation