All Articles
17050 articles total
Proxy Exploration and Reusable Guidance: A Modular LLM Post-Training Paradigm via Proxy-Guided Update Signals
PUST is a post-training framework that decouples update-signal exploration from distribution alignment using proxy models.
CDFM: Towards a General-Purpose Causal Discovery Foundation Model
CDFM presents a general-purpose foundation model for zero-shot structural causal discovery from observational data.
Toward Inclusive Avatar Design with Limb Differences Through Artificial Intelligence
A review of AI-driven technical approaches for creating inclusive 3D avatars that represent people with limb differences.
Global Warming at 3 °C by 2050? What's Behind the New German Climate Warning
A discussion regarding a German climate warning predicting global warming could reach 3°C by 2050.
Ambient Website Background Clouds
A post about implementing ambient background clouds for websites.
Longitudinal Multi-View Breast Cancer Risk Prediction
Researchers propose LMV-Net, a deep learning model for longitudinal multi-view breast cancer risk prediction using mammography views.
Understanding the Impact of AI Code Assistants on Security API Usage: An Empirical Study
An empirical study finds that AI code assistants like GitHub Copilot improve functional correctness but do not significantly improve the secure usage of security APIs.
Characterising AI Models for Cataloguing
An evaluation of AI models for the task of creating digital catalogue records for digital collections.
Beyond Sally-Anne: Evaluating Theory of Mind in LLMs using Epistemic Schelling Points
Introduction of the Epistemic Asymmetry Schelling Task (EAST) to evaluate Theory of Mind in LLMs through dialogue games.
BackgroundMellow: A Multi-Modal Cohesive Framework for Narrative-Driven Rich Cinematic Soundscape Generation
BackgroundMellow is a multi-modal framework for generating synchronized, narrative-driven cinematic soundscapes using a master-specialist agent architecture.
A Glimpse into Long-term Physical Coexistence with Intelligent Robots
Introduction of PHILIA, a multi-robot agent architecture that decouples high-level reasoning from low-level execution for long-term physical coexistence.
Agentic Routing: The Harness-Native Data Flywheel
Proposes Harness-Native agentic routing to optimize model selection within AI agent execution harnesses to create a data flywheel for training.
Uncertainty Quantification for EO Regression Tasks: Building Height, Tree Canopy Height and Above-ground Biomass Estimation
A study on uncertainty quantification for Earth Observation regression tasks including building height and biomass estimation using Sentinel data.
Pix2Act: Image-Space Manipulation Policies with Equivariant Augmentation
Pix2Act is an imitation learning method for 3D manipulation that simplifies control by predicting 2D image-space trajectories and recovering poses via triangulation.
Enhancing LLMs through human feedback: a journey towards self-improvement
The study proposes enhancing RAG systems by integrating an auxiliary feedback RAG system and a human-in-the-loop workflow for continuous self-improvement.
Towards Predictive, Aligned, and Scalable Robot Learning
Lumo-2 is a latent world-action model that uses a multi-stage modality pre-alignment strategy to improve robotic predictive reasoning and control performance.
Automated Textbook Auditing with Multi-Agent LLM Systems
The AI Textbook Auditor is a multi-agent LLM pipeline designed to automate factual and linguistic auditing of educational materials.
A Unified Framework for Comprehensive Cardiac CT Segmentation and Phenotyping: Human-in-the-Loop Data Annotation, Vision Foundation Model Development, Multicenter Evaluation and Clinical Validation
A unified framework for cardiac CT segmentation using a self-supervised foundation model and a large expert-annotated dataset to improve clinical phenotyping.
Mako: A Self-Evolving Agentic Operating System (SE-AOS) for Autonomous Web Exploitation
Mako is a self-evolving agentic OS for autonomous web exploitation that treats exploit capabilities as a mutable kernel it can extend at runtime.
The Paternalistic Filter: Epistemic Injustice and Differential Refusal in LLM-Mediated History Education for Marginalized Romanian Students
An audit of LLMs acting as history tutors reveals systemic biases and 'epistemic paternalism' that disadvantage marginalized students.