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Focus Shifts to Structured and Verifiable AI Development

The observed trend moves beyond simple model capability improvements toward building highly reliable systems that function within complex, real-world constraints. This is evidenced by the focus on using composable architecture frameworks or subjecting AI to rigorous validation through high-difficulty benchmarks like the Ramanujan Challenge. Furthermore, securing efficiency and robustness has become a critical concern across diverse domains, from optimizing RAG performance to streamlining embedded system security patches.

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arXivJuly 31, 2026

AISPA: User-Centric System Prompt Auditing for Large Language Model Applications

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LLM 애플리케이션의 시스템 프롬프트를 체계적으로 감사하기 위한 사용자 중심 프레임워크 AISPA를 제안합니다. 88개 상용 AI 제품의 프롬프트를 분석하여 보호적 지침과 문제적 지침의 현황 및 격차를 규명했습니다.

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system-prompt
ai-safety
audit-framework
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Focus Shifts to Structured and Verifiable AI Development

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What’s emerging

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Focus Shifts to Structured and Verifiable AI Development

AISPA: User-Centric System Prompt Auditing for Large Language Model Applications

PAC-MAN: Perception-Aware CBF-RL for Whole-Body Safety in Humanoid Dodgeball

The AI Visibility Evidence Model: What the Research Actually Supports

How a Baseten Engineer Traced 7 Years of Attention Mechanism Evolution -- From GPT-2 to Kimi K3, in Runable PyTorch

All oneshots from Kimi-K3, looks better than opus4.8.

ReToken: One Token to Improve Vision-Language Models for Visual Retrieval

$β$-OPSD: Deriving with Policy Optimization, Training with Self-Distillation

ScaFE: Data-Efficient Scar Classification with LLM-Generated Clinical Feature Programs

APO: Unsupervised Atomic Policy Optimization for 3D Structure Prediction of Atomic Systems

Graph Neural Network Force Fields for Spin Dynamics in Metallic Magnets

Doubly Robust Functional Representation Learning for Longitudinal Causal Inference with Irregular Histories

MixFrag: Fragility-Guided Mixed-Precision Post-Training Quantization for Vision Transformers

Change2Task: From Repository Changes to Executable Coding Agent Tasks and Environments

Sample More, Reflect Less: Self-Refine and Reflexion Lose to Repeated Sampling at Equal Token Cost, from 1.5B to 7B

KAISEN: Reproducible Subgroup Fairness Auditing for Clinical Risk Models

AskChem: Claim-Centered Infrastructure for Chemistry Literature Synthesis

Korea's #1 model on GPQA Diamond is a 24-GPU startup's — and it ranks #3 in the world

MonoVoc: Decoupling Geometry and Semantics for Lightweight Monocular Open-Vocabulary 3D Gaussians

Theia: Large-Scale Multimodal Captioning and Automated Validation of the Incidents1M Dataset for Data-Free Distillation

MemHarness: Memory Is Reconstructed, Not Replayed