Aug 24, 2026
Personalized Privacy Control in LLMs via Attention Head Intervention
Personalized Privacy Control in LLMs via Attention Head Intervention introduces a method to align Large Language Model (LLM) responses with individual user p...
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AI Research Papers
Understand new AI research with readable explanations and links to the original papers.
Aug 24, 2026
AUSO: Action-Level Unified Skill Optimization from Internalization to Utilization
AUSO (Action-level Unified Skill Optimization) is a framework designed to improve how AI agents learn and use skills during long-horizon tasks.
Aug 24, 2026
Fine-Grain GPU Parallelization of the Generalized Partition Crossover for Large-Scale Traveling Salesman Problems
Fine-Grain GPU Parallelization of the Generalized Partition Crossover for Large-Scale Traveling Salesman Problems addresses the computational bottleneck in G...
Aug 24, 2026
Enhancing LLMs in Predictive Political QA with Semi-Structured Data
Enhancing LLMs in Predictive Political QA with Semi-Structured Data introduces PSL, a framework designed to improve how Large Language Models (LLMs) predict...
Aug 24, 2026
Ontology-supported AI Model and Dataset Management
The paper "Ontology-supported AI Model and Dataset Management" addresses the challenge of effectively exchanging and managing AI models and datasets in indus...
Aug 24, 2026
CLEAR: Continuous Latent Adapter Routing for Utility-Preserving LLM Safety Alignment
CLEAR: Continuous Latent Adapter Routing for Utility-Preserving LLM Safety Alignment introduces a framework designed to improve LLM safety without degrading...
Aug 24, 2026
Unified Branch-and-Bound Search for the Steiner Traveling Salesman Problem on Graphs of Convex Sets
The Steiner Traveling Salesman Problem (Steiner-TSP) on Graphs of Convex Sets (GCS) involves finding the lowest-cost closed trajectory that visits a specific...
Aug 24, 2026
VIALS: A Benchmark for Visual Interpretation of Artifacts in the Life Sciences
VIALS is a new benchmark designed to evaluate how well vision-language models (VLMs) interpret the specialized visual artifacts used in professional life sci...
Aug 24, 2026
Anatomy-Informed Neural Networks: Encoding Anatomic Priors in Loss and Architecture, with an SE(3) Formulation of Guidewire-Induced Aortoiliac Deformation
Anatomy-Informed Neural Networks (AINN) are a proposed framework designed to improve the reliability of medical AI by embedding anatomical knowledge directly...
Aug 24, 2026
From Regulation to Implementation: A Critical Evaluation of LLM-Assisted Regulatory Compliance in Industry
From Regulation to Implementation: A Critical Evaluation of LLM-Assisted Regulatory Compliance in Industry investigates how Large Language Models (LLMs) can...
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