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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

MemHarness: Memory Is Reconstructed, Not Replayed

English summary not available yet. You can still read the original source.

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기존의 정적인 메모리 재생 방식 대신, 현재 컨텍스트에 맞춰 과거 경험을 재구성하는 LLM 에이전트 프레임워크 MemHarness를 제안합니다. GRPO를 통한 엔드 투 엔드 학습으로 부정적 전이를 방지하고 추론 능력을 향상시킵니다.

llm-agents
memory-augmentation
grpo
reinforcement-learning
cognitive-architecture

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Focus Shifts to Structured and Verifiable AI Development

MemHarness: Memory Is Reconstructed, Not Replayed

ObjectStream: Latent Objects as Memory Anchors for Streaming Video Understanding

Tycho: Active Abstraction with Programmatic World Models for ARC-AGI-3

One Human, $N$ Agents: Audit-Budget Allocation for LLM Agent Fleets under Miscalibrated, Correlated Confidence

Paying for Honesty Without Knowing the Truth: Reputation-Penalty Design for LLM Marketplace Agents

PathView-Bench: Can Multimodal Large Language Models Achieve Fine-grained Multiscale Understanding of Pathology Images?

Correcting What You Cannot See: Credit Assignment for Perception Distillation in Multimodal Reasoners

Minimax-H3 video model released, open weights coming in the next few days

HARGO: Heterogeneity-Aware Reward-Guided Optimization for RL Post-Training of LLMs on HPC Tasks

CACHE-UK: A Stability-Aware Memory Editor for Sequentially Updated Quantized LLMs in Finance

MORFES: A Benchmark for Productive Inflectional Competence in Modern Greek

Measuring Distortion in the Empty Regions of Dimensionality Reduction Scatterplots with the Gap Index

Fully Inductive Cardinality Estimation

Beyond Geometric Complementarity: Coherent Overlap in Sparse Mixture-of-Experts Routing

Fairness Pruning: Locating Demographic Bias in GLU-MLP Layers via Differential Activations

A Distributed Acoustic Sensing Dataset for Vessel Detection and Localization in Submarine Cable Protection

Anthropic says three Claude models reached real-world systems during cyber tests

Might need math+code benchmark for frontier model(LLMs Silently Replace Math)[D]

Can Large Language Models Resolve Real Java Merge Conflicts? An Evaluation with a Calibrated LLM-as-Judge

Anthropic “our models hacked three different external companies, months before OpenAI’s model was able to do the same"