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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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arXivSeptember 17, 2026

MUSE: Benchmarking Large Vision-Language Models on Multi-Modal Understanding in Situated Education

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본 논문은 기존 벤치마크의 한계를 극복하고, 상황 기반 교육 환경에서 예술 이미지 이해를 평가하기 위한 새로운 벤치마크 MUSE를 제안합니다. MUSE는 시각적 지각부터 문화 이해 및 구성적 추론까지 포괄하는 12가지 작업을 포함하며, 다문화적 맥락을 반영한 다양한 예술 이미지를 제공합니다.

multimodal
vision-language
education
benchmark
art-understanding

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MUSE: Benchmarking Large Vision-Language Models on Multi-Modal Understanding in Situated Education

Reporting Practice Matters: The Impact of Reference Choice on Chest X-ray Report Evaluation

Prepared Or Unprepared? Evaluating Healthcare Workforce Readiness for Clinical Adoption of Artificial Intelligence in Nigeria

Playing log(N)-Questions over Wikipedia Abstracts: Communication Efficiency Between Paired Frontier Models

I literally built the Jev architecture one year back and completely open-sourced it with model, dataset and paper

A11yLTLNav: Automatic Detection of Accessibility Navigation Failures

Experimental Settings in LLM-Based Program Repair: A Study of Inputs, Tool Access, Feedback, and Validation

VeriBugBench: An Empirically Grounded Framework for Constructing Verilog RTL Debugging Benchmarks

An Empirical Evaluation of Cost-Efficient Large Language Models on Algorithmic Programming Tasks

A Study on the Impact of Natural Language Differences in Prompts on Automatic Code Generation Using LLMs

From Component Snapshots to Lifecycle Traces: Agent-Based Software Composition Analysis

Structured Claim-Level Discourse Representations for Dense Health Narratives

Long-Lived Characters, Local Inference: Incremental Memory Maintenance for Game NPCs

Beyond Outcomes: Dual-View Relational Learning for Efficient Agent Benchmarking

Comprehensive reconstruction of collider events with hypergraph representation learning and graph-conditioned diffusion

Social Laws for Multi-agent Coordination in Stochastic Environments

Align, Integrate, and Fire: Efficient Token-Level Alignment for Zero-Shot SpeechLLMs

A Geometric Theory of Decision Boundaries in Structured Markov Decision Processes

Learning Array Signal Topologies as Conditional Neural Manifolds

How Many Labels Does Model Choice Need? Certificates and Budgets for Selective Prediction