cs papers | Gist.Science

Accumulated-History Replicator SelectionOptimization: Algorithm Design, TheoreticalGrounding, and Experimental Analysis (MycelialNetwork Optimization)

This paper introduces the Accumulated-History Replicator Selection (AHRS) framework and its Mycelial Network Optimization (MNO) algorithm, which leverage exponentially weighted historical fitness data to outperform standard population-based optimizers on complex, non-separable landscapes while being theoretically grounded in evolutionary game theory and Fisher's Fundamental Theorem.

Rahul Kumar Mishra2026-07-06

💻 computer science

Can Large Language Models Detect Contradicted Biomedical Evidence? A Dual-Annotator Benchmark Audit

This study demonstrates that current large language models and retrieval-augmented generation systems significantly fail to detect contradictions between generated biomedical answers and retrieved evidence, often misclassifying them as insufficient, thereby highlighting that such automated verifiers are not yet ready for clinical autonomous screening.

xinzheng Chen2026-07-06

💻 computer science

An Integrated AI-Driven Learning Ecosystem for Refugee Higher Education Access

This study proposes an Artificial Intelligence-Driven Adaptive Learning Ecosystem (AIALE) that integrates adaptive learning, multilingual support, blockchain credential verification, and community mentoring to holistically overcome legal, financial, and technological barriers to higher education for refugee and displaced populations.

Nika Sintesa Grinika Family2026-07-06

💻 computer science

Representation Paradigms in AI-based 3D Radiological Image Reconstruction: A Literature Review

This literature review synthesizes 103 records to categorize AI-based 3D radiological image reconstruction methods into four representation families—discrete grids, explicit basis expansions, explicit primitives, and implicit neural representations—while evaluating their respective strengths, limitations, available resources, and critical clinical challenges.

Yuezhe Yang, Lei Bi, Boyu Yang, Yaqian Wang, Yang He, Yige Peng, Zhe Jin, Xingbo Dong, Jinman Kim2026-07-06

💻 computer science

SWCB-YOLO: Toward Robust and Real-Time Wind Turbine Blade Defect Detection in Unstructured Natural Environments

The paper proposes SWCB-YOLO, a lightweight real-time detector for wind turbine blade defects that integrates a Curvature-Aware Shape IoU loss, an Asymmetric Strip Swin-TransformerV2 module, and a Frequency-Spatial Dual-Domain Attention mechanism to achieve robust detection in unstructured environments with 89.0% mAP@50 on a field dataset while running at 35 FPS on edge hardware.

Bingyu Cao, Peng Zhou, Mingqi Kan, Wei Chen, Yingchao Wang2026-07-06

💻 computer science

Safe Deployment of a Generative AI Assistant for Traditional-Medicine Education: Defense-in-Depth Architecture, Domain-Calibrated Safety Evaluation, and a Proposed Minimum Safety Stack

This paper presents TLAS-YHCT, a generative AI assistant for traditional-medicine education that achieves 100% safety against domain-specific attacks through a defense-in-depth architecture, demonstrating that clinically calibrated safety standards and a minimum safety stack combining RAG, standardized prompting, and LLM-as-judge verification are essential for safe deployment in clinical education.

Ta Bich Hong, Tran Tan Linh, Le Hoang Oanh, Nghiem Thi Thuy Giang, Tran Tang, Le Thi Thuy Tien, Thi Ngoc Anh Bui2026-07-06

💻 computer science

Optimization method for area controller scheduling integrating efficiency, fatigue, and fairness

This paper proposes a collaborative optimization method based on the multi-objective marine predator algorithm (MOMPA) and constraint programming to generate area air traffic controller schedules that effectively balance operational efficiency, fatigue risk, and working time fairness, demonstrating superior performance and engineering feasibility through validation with real-world data.

Tiantian Niu, Haoran Gao, Zhengyi Hu, Cong Qian, Xin He, Xiaobo Zhu2026-07-06

💻 computer science

Obstacle-Avoidance Path Planning for a Basket-Carrying Robotic Arm Based on an Improved APF-RRT Algorithm

This paper proposes an improved APF-RRT algorithm that integrates power-law decay repulsive gains, a three-level escape mechanism, and adaptive strategies to significantly enhance path planning efficiency, smoothness, and obstacle avoidance for basket-carrying robotic arms in complex agricultural environments.

Shilei Lyu, Shengjun Shi, Guoning Zhang, Junxing He, Leyuan Chen, Xiongzhe Han, Peng Gao2026-07-06

💻 computer science

Calibrated Abstention and Clinical Deferral in Small Language Models via RLVR and GRPO

This paper demonstrates that training a Small Language Model (Gemma 2B) with RLVR and GRPO to enforce calibrated abstention significantly improves clinical safety by doubling the deferral rate for ambiguous cases, despite a trade-off in raw benchmark accuracy.

Narendra Bayutama Wibisono2026-07-06

💻 computer science

When Explanations Mislead: A Systematic Audit of Saliency Map Localization Failures in Chest X-Ray AI Despite Correct Predictions

This paper systematically demonstrates that in chest X-ray AI, correct predictions are frequently accompanied by inaccurate saliency map explanations, revealing a critical decoupling between prediction accuracy and localization fidelity that necessitates mandatory validation thresholds before clinical deployment.

Siddhardha Nanda2026-07-06

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