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Characterizing Model-Native Skills

DGX agent

arXiv:2604.17614v1 Announce Type: cross Abstract: Skills are a natural unit for describing what a language model can do and how its behavior can be changed. However, existing characterizations rely on

safetyarxiv-cs-cl

21 Apr 2026

Model Releases

Search: “models”

Characterizing Model-Native Skills

Cross-Family Speculative Decoding for Polish Language Models on Apple~Silicon: An Empirical Evaluation of Bielik~11B with UAG-Extended MLX-LM

Injecting Structured Biomedical Knowledge into Language Models: Continual Pretraining vs. GraphRAG

JudgeMeNot: Personalizing Large Language Models to Emulate Judicial Reasoning in Hebrew

LogicDiff: Logic-Guided Denoising Improves Zero-Shot Reasoning in Masked Diffusion Language Models

Reasoning Models Know What's Important, and Encode It in Their Activations

Scaling Recurrence-aware Foundation Models for Clinical Records via Next-Visit Prediction

Sharpening Lightweight Models for Generalized Polyp Segmentation: A Boundary Guided Distillation from Foundation Models

SIF: Semantically In-Distribution Fingerprints for Large Vision-Language Models

Systematic Capability Benchmarking of Frontier Large Language Models for Offensive Cyber Tasks

The Illusion of Insight in Reasoning Models

Towards a Foundation-Model Paradigm for Aerodynamic Prediction in Three-dimensional Design

VLM-3R: Vision-Language Models Augmented with Instruction-Aligned 3D Reconstruction

Evaluating the Progression of Large Language Model Capabilities for Small-Molecule Drug Design

Fragile Thoughts: How Large Language Models Handle Chain-of-Thought Perturbations

Information Router for Mitigating Modality Dominance in Vision-Language Models

Language Models as Semantic Teachers: Post-Training Alignment for Medical Audio Understanding

Modeling Parkinson's Disease Progression Using Longitudinal Voice Biomarkers: A Comparative Study of Statistical and Neural Mixed-Effects Models

DySCO: Dynamic Attention-Scaling Decoding for Long-Context Language Models

IF-RewardBench: Benchmarking Judge Models for Instruction-Following Evaluation

Learning Ad Hoc Network Dynamics via Graph-Structured World Models

Beyond Static Personas: Situational Personality Steering for Large Language Models

Peer-Predictive Self-Training for Language Model Reasoning

The Consciousness Cluster: Emergent preferences of Models that Claim to be Conscious

Cross-Domain Transfer with Particle Physics Foundation Models: From Jets to Neutrino Interactions

FABLE: Fine-grained Fact Anchoring for Unstructured Model Editing

Filtered Reasoning Score: Evaluating Reasoning Quality on a Model's Most-Confident Traces

LoSA: Locality Aware Sparse Attention for Block-Wise Diffusion Language Models

MoshiRAG: Asynchronous Knowledge Retrieval for Full-Duplex Speech Language Models

Towards EnergyGPT: A Large Language Model Specialized for the Energy Sector

Benchmarking Vision-Language Models under Contradictory Virtual Content Attacks in Augmented Reality

Consistency of AI-Generated Exercise Prescriptions: A Repeated Generation Study Using a Large Language Model

Continuous Adversarial Flow Models

FS-DFM: Fast and Accurate Long Text Generation with Few-Step Diffusion Language Models

Grid2Matrix: Revealing Digital Agnosia in Vision-Language Models

How Many Tries Does It Take? Iterative Self-Repair in LLM Code Generation Across Model Scales and Benchmarks

Modular Delta Merging with Orthogonal Constraints: A Scalable Framework for Continual and Reversible Model Composition

Parallelism and Generation Order in Masked Diffusion Language Models: Limits Today, Potential Tomorrow

Self-supervised Pretraining of Cell Segmentation Models

SRBench: A Comprehensive Benchmark for Sequential Recommendation with Large Language Models

Symmetry-Aware Generative Modeling through Learned Canonicalization

TorchUMM: A Unified Multimodal Model Codebase for Evaluation, Analysis, and Post-training

Distilling Genomic Models for Efficient mRNA Representation Learning via Embedding Matching

Learning Vision-Language-Action World Models for Autonomous Driving

Post-Selection Distributional Model Evaluation

UAV-Track VLA: Embodied Aerial Tracking via Vision-Language-Action Models

Ads in AI Chatbots? An Analysis of How Large Language Models Navigate Conflicts of Interest

Beyond Social Pressure: Benchmarking Epistemic Attack in Large Language Models