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Research

Monotonic anomaly detection

DGX agent

arXiv:2410.23158v3 Announce Type: replace Abstract: Semi-supervised anomaly detection is based on the principle that any record that looks different from normal training data is a potential anomaly. H

researcharxiv-cs-lg

3 Sept 2026

Model Releases

Morphology signal in whole slide image foundation models can automatically triage slides

DGX agent

arXiv:2609.01987v1 Announce Type: new Abstract: Patient exams in the cancer diagnosis and staging process typically generate several whole slide images (WSIs). One of the initial steps in training mod

All entries

Monotonic anomaly detection

Morphology signal in whole slide image foundation models can automatically triage slides

MS-MEM: Multi-Skill Manipulation-Enhanced Mapping via Uncertainty- and Disturbance-Aware Action Selection

MUDIDI: A Two-Stage Framework for Multilingual Dictionary Digitization with Language Models

Multi-Agent Retrieval-Augmented Generation for Efficient Cloud Knowledge Base Search in Telecom SNOC Environment

Multi-Tool Image Editing Attribution in Facial Forgery

MultiGhostBench: A Multilingual Benchmark for Long-Form LLM-Generated Text Attribution under Distribution Shifts

MultiGraspNet: A Multitask 3D Vision Model for Multi-gripper Robotic Grasping

Multimodal Language Models as Text-to-Image Model Evaluators

MuyBridge: Mobile Human Center-of-Mass Estimation from Monocular Video via Sparse Fusion

MV-dVRK: A Multi-Viewpoint Benchmark for Spatial Surgical Perception

NE-R1: Enhancing Named Entity Recognition Model via Reinforcement Learning

NeoMME: A Single-Tower Multimodal-Native Multilingual Foundation Encoder for Efficient Fine-Tuning and Inference

Network-Aware Forecasting on Wireless Access Points

Neural operators approximate strongly continuous convex monotone semigroups

Neural Variational Cut Posteriors without Upstream Data

No Data Wasted: A Semi-supervised Generative Model for Incomplete Multi-view Data Integration with Missing Labels

Nonasymptotic CLT and Error Bounds for Linear Two-Time-Scale Stochastic Approximation

Not All Agreement Counts as Corroboration: Provenance-Conserving Multi-View Fusion for Typed Action Admission in Human-Robot Collaboration

NS-Copilot: An LLM-Driven Agent System for Autonomous Neuroscience Analysis

NS-VLA: Towards Neuro-Symbolic Vision-Language-Action Models

OBJECTION! Lawyer Agents Mitigate Guilty Bias in Legal Judgment Prediction

oHC: Orthogonal Hyper-Connections on SO(4) via Quaternions

Omega-N: Interpretable Structural Node Descriptors and Their Applicability Domain

OmegaUse-SOP: SOP Engineering for Professional Computer Use from Human Demonstrations

On Cost-Aware Designs for Sequential Hypothesis Testing

On-Policy Distillation Meets Off-Policy GRPO: Training Compact Instruction-Following Rerankers

One Demonstration, Many Objects: Generalizing Manipulation via Local Contact Geometry

One Model, Many Graphs: Learning over Attributed Graphs across Heterogeneous Modalities with Vision-Language Models

Online Non-Monotone DR-Submodular Maximization Matching the Offline 0.401 Factor

Online Reinforcement Learning in the Met Office Unified Model through Distributed Model-Agent Coupling

OR-Transformer: Scaling Real-Time Decision-Making to 1,000 Items

Oracle, will I ever learn? A study of prediction convergence and complementarity across link prediction models

ORB-SVM : An Innovative Hybrid Framework for Efficient Brain Tumor Detection from MRI Scans

Orthogonal Ensembles and Tested Explanations for Performer-Independent Body-Motion Emotion Recognition

OSDAG: Online Scheduling for Efficient Multi-Robot Collaboration

OutageDiT: A Generative Foundation Model for Power Outage Forecasting and Scenario Simulation

Pailitao-MMSearch: Building Native E-Commerce Multimodal Search Foundation

PaperCompiler: Faithful Paper-to-Code Generation via Repository-Level Specification Compilation

Passivity-Centric Safe Reinforcement Learning for Contact-Rich Robotic Tasks

PEARL: Path-Entity Aligned Relational Learning with Contextual Subgraphs for Inductive Knowledge Graph Completion

Perceptually Regularized Diffusion Model for Image Super-Resolution

Percolation Dynamics in Optimization : Variance Cascades and Discrete Scale Invariance

Persistent Sparse Autoencoders: Learning Feature-Specific Timescales in Language Model Representations

PGPO: Potential-Guided Policy Optimization for Multi-Turn Agentic Tasks

PhoenixNest-Video: Evidence-Grounded Multimodal Agent Framework for Automated Video Interview Assessment

Physics-Driven Independent Pair Generation for Iterative Self-Supervised Low-Dose CT Denoising

PIE-APT: Abductive Planning over Temporal Dynamic Knowledge Graphs via Incremental Reasoning