Forschung & Analyse

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236

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19. Mai 2026

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RESEARCH

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ai-tools19. Mai 2026

Multi-axis Analysis of Image Manipulation Localization

Advanced image editing software enables easy creation of highly convincing image manipulations, which has been made even more accessible in recent years…

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ai-tools12:00 AM

Long-term Power Grid Planning via Answer Set Programming

The Power grid is a critical infrastructure underpinning all aspects of modern society and its services. Maintaining its effectiveness requires…

ai-tools12:00 AM

HaorFloodAlert: Deseasonalized ML Ensemble for 72-Hour Flood Prediction in Bangladesh Haor Wetlands

Flash floods in Bangladesh's haor wetlands show up with almost no warning. They wreck the annual boro rice harvest. Current setups, built for riverine…

ai-tools12:00 AM

Atoms of Thought: Universal EEG Representation Learning with Microstates

Learning universal representations from electroencephalogram (EEG) signals is a cutting-edge approach in the field of neuroinformatics and brain-computer…

ai-tools12:00 AM

A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents

Production LLM agents combine stochastic model outputs with deterministic software systems, yet the boundary between the two is rarely treated as a…

Forschung & Analyse

Multi-axis Analysis of Image Manipulation Localization

Top-Stories

Long-term Power Grid Planning via Answer Set Programming

HaorFloodAlert: Deseasonalized ML Ensemble for 72-Hour Flood Prediction in Bangladesh Haor Wetlands

Atoms of Thought: Universal EEG Representation Learning with Microstates

A Methodology for Selecting and Composing Runtime Architecture Patterns for Production LLM Agents

Weitere Artikel

VGGT-Edit: Feed-forward Native 3D Scene Editing with Residual Field Prediction

RefDecoder: Enhancing Visual Generation with Conditional Video Decoding

FutureSim: Replaying World Events to Evaluate Adaptive Agents

EntityBench: Towards Entity-Consistent Long-Range Multi-Shot Video Generation

ATLAS: Agentic or Latent Visual Reasoning? One Word is Enough for Both

Task-Adaptive Embedding Refinement via Test-time LLM Guidance

Pion: A Spectrum-Preserving Optimizer via Orthogonal Equivalence Transformation

Learning, Fast and Slow: Towards LLMs That Adapt Continually

Elastic Attention Cores for Scalable Vision Transformers

AlphaGRPO: Unlocking Self-Reflective Multimodal Generation in UMMs via Decompositional Verifiable Reward

Variational Inference for Lévy Process-Driven SDEs via Neural Tilting

ELF: Embedded Language Flows

DECO: Sparse Mixture-of-Experts with Dense-Comparable Performance on End-Side Devices

Why Global LLM Leaderboards Are Misleading: Small Portfolios for Heterogeneous Supervised ML

Verifier-Backed Hard Problem Generation for Mathematical Reasoning

UniPool: A Globally Shared Expert Pool for Mixture-of-Experts

BAMI: Training-Free Bias Mitigation in GUI Grounding

ActCam: Zero-Shot Joint Camera and 3D Motion Control for Video Generation

Taming Outlier Tokens in Diffusion Transformers

Sharp Capacity Thresholds in Linear Associative Memory: From Winner-Take-All to Listwise Retrieval

LongSeeker: Elastic Context Orchestration for Long-Horizon Search Agents

Grokability in five inequalities

Almost-Orthogonality in Lp Spaces: A Case Study with Grok

Safety and accuracy follow different scaling laws in clinical large language models

Redefining AI Red Teaming in the Agentic Era: From Weeks to Hours

OpenSeeker-v2: Pushing the Limits of Search Agents with Informative and High-Difficulty Trajectories

Large-Scale High-Quality 3D Gaussian Head Reconstruction from Multi-View Captures

A Closed-Form Adaptive-Landmark Kernel for Certified Point-Cloud and Graph Classification

Unsupervised Machine Learning for Detecting Structural Anomalies in European Regional Statistics

Standing on the Shoulders of Giants: Stabilized Knowledge Distillation for Cross--Language Code Clone Detection

SpecKV: Adaptive Speculative Decoding with Compression-Aware Gamma Selection

Multi-fidelity surrogates for mechanics of composites: from co-kriging to multi-fidelity neural networks

Enhancing RL Generalizability in Robotics through SHAP Analysis of Algorithms and Hyperparameters

Synthetic Computers at Scale for Long-Horizon Productivity Simulation

LLM as Clinical Graph Structure Refiner: Enhancing Representation Learning in EEG Seizure Diagnosis

Exploration Hacking: Can LLMs Learn to Resist RL Training?

Computing Equilibrium beyond Unilateral Deviation

An adaptive wavelet-based PINN for problems with localized high-magnitude source

Turning the TIDE: Cross-Architecture Distillation for Diffusion Large Language Models

On the Learning Curves of Revenue Maximization

Learning Over-Relaxation Policies for ADMM with Convergence Guarantees

Hyper Input Convex Neural Networks for Shape Constrained Learning and Optimal Transport

A Note on How to Remove the $\ln\ln T$ Term from the Squint Bound

Toward a Functional Geometric Algebra for Natural Language Semantics

Teacher Forcing as Generalized Bayes: Optimization Geometry Mismatch in Switching Surrogates for Chaotic Dynamics

Recursive Multi-Agent Systems

How Fast Should a Model Commit to Supervision? Training Reasoning Models on the Tsallis Loss Continuum

Carbon-Taxed Transformers: A Green Compression Pipeline for Overgrown Language Models

The Optimal Sample Complexity of Multiclass and List Learning

SpecRLBench: A Benchmark for Generalization in Specification-Guided Reinforcement Learning

Personalized Worked Example Generation from Student Code Submissions using Pattern-based Knowledge Components

Learning to Think from Multiple Thinkers

Conflict-Aware Harmonized Rotational Gradient for Multiscale Kinetic Regimes

When Prompts Override Vision: Prompt-Induced Hallucinations in LVLMs

The Sample Complexity of Multicalibration

Temporal Taskification in Streaming Continual Learning: A Source of Evaluation Instability

Seeing Fast and Slow: Learning the Flow of Time in Videos

Fine-Tuning Regimes Define Distinct Continual Learning Problems

SpeechParaling-Bench: A Comprehensive Benchmark for Paralinguistic-Aware Speech Generation

Global Offshore Wind Infrastructure: Deployment and Operational Dynamics from Dense Sentinel-1 Time Series

FedSIR: Spectral Client Identification and Relabeling for Federated Learning with Noisy Labels

Closing the Domain Gap in Biomedical Imaging by In-Context Control Samples

AVISE: Framework for Evaluating the Security of AI Systems

UniT: Toward a Unified Physical Language for Human-to-Humanoid Policy Learning and World Modeling

Safe Continual Reinforcement Learning in Non-stationary Environments

Phase Transitions in the Fluctuations of Functionals of Random Neural Networks

Generalization at the Edge of Stability

FASTER: Value-Guided Sampling for Fast RL

When Can LLMs Learn to Reason with Weak Supervision?

Sessa: Selective State Space Attention

MathNet: a Global Multimodal Benchmark for Mathematical Reasoning and Retrieval

Bounded Ratio Reinforcement Learning