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Model Releases

UI-Venus-2 Technical Report

DGX agent

arXiv:2609.00028v1 Announce Type: new Abstract: Multimodal GUI agents have emerged as a promising paradigm for digital task automation, yet transitioning from benchmark-oriented models to dependable r

model-releasesarxiv-cs-ai

2 Sept 2026

Safety

Search: “automated”

UI-Venus-2 Technical Report

When the Algorithm Becomes the Brand Crisis: A Sociotechnical Theory of Distributed Responsibility and Accountable Transparency

A Unified Perspective on Conformal Prediction and Wasserstein Distributionally Robust Optimization for Uncertainty Quantification

A^2Agent: Action-Aware Reinforcement Learning for Repository-Level Code Localization Agents

Anomaly Detection on Small Industrial Components via Vision-Based Tactile Sensing

Automatic Conversion of NICE Guidelines to an Executable Computational Model Using Large Language Models

AutoScientist-Quant: Self-Evolving Coding Agents for Automatic Research in Quantitative Investment

Breaking Darknet CAPTCHAs with general purpose LLM

Calibrating Small Language Models for Claim Check-Worthiness Detection

Development of an Autonomous AI Coding Agent using Monte Carlo Tree Search (MCTS) and Gemini LLM Frameworks

Extending TotalSegmentator: Predicting Patient and Acquisition Characteristics from CT and MR Images

FaVOR: LLM-Based Agentic Framework for Factor Mining via Empirical Validation

GUI-PRA: Process Reward Agent for GUI Tasks

Learning-Assisted Congestion-Aware Route Scheduling for Semiconductor Fab Material Control Systems

MariSat: A Maritime Dataset for Instance Segmentation of Objects in Satellite and Aerial Images

MobileDreamer: Generative Sketch World Model for GUI Agent

NepScript Genesis: Neural Architecture Search for Handwritten Devanagari Digit Synthesis

PaperBanana-Interact: Scientific Diagram Refinement with Multi-Turn Human Feedback

SePArate: Segmenting Patterns from Defects in Wafer Manufacturing Using Weak Supervision

The Signal in the Noise: An Auditable Reliability Layer for Biomedical Text Classification

Vehicle Drift Emergence: Continuous Evolution from Grip Driving to the Handling Limit via Boundary Exploration Learning Model Predictive Control

Whole-Slide Image Analysis under Realistic Few-Shot Annotation Protocols

Beyond Flat Netlist: Hierarchical Graph Representation Learning for Scalable Analysis of Sequential Circuits

CF-YOLO: Context-Aware Feature Refinement for Camouflaged Industrial Micro-Defect Detection

Explainable Diabetic Retinopathy Classification Using Vision Foundation Models

Iron: Intent-Aligned and Retrospective Dual Learning Framework for Enhancing Generalist Virtual Agents

Accelerating Scientific Research with Gemini in the Real-World

Cross-Architecture Knowledge Distillation from a Vision Foundation Model to a Lightweight Visual State Space Model for Tea Leaf Disease Classification

From Static to Dynamic: Benchmarking Real-World Code Review with MCR-Bench

HybridProver: Augmenting Theorem Proving with LLM-Driven Proof Synthesis and Refinement

Leveraging Large Language Models for Systematic Literature Review of Disease Spread Models

Natural-Language Policies to Executable Decisions: An Interpretable Large Language Model Framework

NeuronFuzz: Safety Neuron Guided Fuzzing for LLM Safety Evaluation

Reinforcement Learning-Based Control of CAV Platoon Joining Maneuvers in Mixed Traffic

Stack Trace-Based Crash Deduplication with Transformer Adaptation

The Score Granularity Gap in Black-Box LLM Classification: A Comparative Study of Confidence Constructions

Automatic weld seam segmentation for industrial quality control: a comparison of RGB and polarimetric imaging with CNN and transformer architectures

DESCENT: Directed Edge Scene Encoding for Airport Surface Movement Prediction

Imitation Learning for Connection-Tableau Construction

ONNX-Net: Towards Universal Representations and Instant Performance Prediction for Neural Architectures

Saliency-Depth Conditioning for Zero-Shot Segmentation of Communication-Tower Components in Cluttered UAV Imagery

Simulating Cognitive Smart Freight Corridors with Agent-Based Models and Reinforcement Learning

Training Alignment Auditors via Reinforcement Learning

ADVERSA: Measuring Multi-Turn Guardrail Degradation and Judge Reliability in Large Language Models

Benchmarking LLM Judges for Voice-Agent Evaluation: Reliability, Calibration, and Human Oversight

Highway Congestion Reduction through Reinforcement Learning Based Eulerian Headway Control

Learning to Grade Efficiently: A Bandit-Driven Prompt-Selection Framework for Low-Cost LLM Essay Scoring

NeuralParker: A Reinforcement Learning Planner for Irregular Parking Environments