All Articles
17889 articles total
AgentX: Towards Agent-Driven Self-Iteration of Industrial Recommender Systems
AgentX is a multi-agent system designed to automate and improve industrial recommender systems through self-iterating development loops.
TAVR-VLM: Risk-Conditioned Causal Grounding for Hallucination-Resistant Report Generation
TAVR-VLM is a framework for hallucination-resistant medical report generation in TAVR planning using risk-conditioned causal grounding.
We All Depend on Open Source. We Will Defend It Together
A community discussion on Hacker News regarding the collective defense and support of open-source software.
Do Safety Guardrails Need to Reason? LeanGuard: A Fast and Light Approach for Robust Moderation
Introduction of LeanGuard, a lightweight bidirectional encoder for robust AI moderation that achieves 100x reduction in inference compute compared to reasoning-based guardrails.
Kalman Prototypical Networks for Few-shot Fault Detection in Combined Cycle Gas Turbines
Proposes the Kalman Prototypical Network (KPN) for few-shot fault detection in gas turbines, using latent stochastic states to improve robustness.
LithoDreamer: A Physics-Informed World Model for Multi-Stage Computational Lithography
Presents LithoDreamer, a physics-informed world model for computational lithography to optimize semiconductor manufacturing processes.
A Latent ODE Approach to Spatiotemporal Modeling of Cine Cardiac MRI
A latent ODE approach to spatiotemporal modeling of cardiac MRI to improve heart failure prediction beyond conventional markers.
Socratic agents for autonomous scientific discovery in high-dimensional physical systems
Introduces AHOIS, a multi-agent AI scientist that uses Socratic questioning to autonomously discover physical explanations in high-dimensional systems.
Scientific discovery as meta-optimization: a combinatorial optimization case study
Proposes a meta-optimization framework for scientific discovery that uses consensus objective aggregation to speed up 3-SAT algorithm discovery by 67x.
EGG: An Expert-Guided Agent Framework for Kernel Generation
Presents EGG, an expert-guided agent framework for GPU kernel generation that achieves a 2.13x speedup over PyTorch through staged optimization.
ResilPhase: Plug-and-Play Phase Mapping and Noise-Resilient Macro-Trajectory Extrapolation for Diffusion Acceleration
Introduces ResilPhase, a noise-resilient acceleration framework for Diffusion Transformers (DiTs) using barycentric Lagrange extrapolation in ODE space.
Memory Depth, Not Memory Access: Selective Parametric Consolidation for Long-Running Language Agents
Study on memory depth for long-running AI agents, introducing EVAF, a selective parametric consolidation mechanism for goal persistence.
Falcon GX the most powerful brand engineering tool
A discussion thread regarding a brand engineering tool called Falcon GX.
Why are we so obsessed with lawns?
A general discussion thread questioning the societal obsession with lawns.
Explainable Ensemble-Based Machine Learning Models for Detecting the Presence of Cirrhosis in Hepatitis C Patients
Research on using ensemble-based machine learning models, specifically Extra Trees, to detect cirrhosis in Hepatitis C patients with high accuracy.
EvoOptiGraph: Weakness-Driven Coevolution via Graph-Based Structural Generation for Optimization Modeling
Introduction of EvoOptiGraph, a framework where data and models co-evolve to improve LLM performance in automating optimization modeling from natural language.
A Multi-Level Validation and Traceability Framework for AI-Generated Telescope Scheduling Decisions
A multi-level validation and traceability framework designed to ensure the reliability and executability of AI-generated telescope scheduling decisions.
Content-Based Smart E-Mail Dispatcher Using Large Language Models
An LLM-based agent system developed to automate the dispatching of emails to relevant WhatsApp groups in an engineering college setting.
LLM-based Models for Detecting Emerging Topics in Service Feedback
A methodology combining quantized LLMs and human-in-the-loop oversight to detect emerging service quality issues in public sector customer feedback.
Autoformalization of Agent Instructions into Policy-as-Code
An autoformalization pipeline that uses an LLM generator-critic loop to translate agent instructions into formally verified Cedar Policy Language policies.