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benchmark surveying

GeneTech 知识引擎共收录 153 篇相关科研实体，横跨 24 个垂直领域。数据来自 OpenAlex、arXiv、Crossref、PubMed、Europe PMC 等公开学术源，全部可溯源到原文。

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代表性文献（按质量分排序，前 60 条）

• AgentClinic: a multimodal benchmark for tool-using clinical AI agents
  2026 · AI Agent 生态 · Evaluating large language models (LLM) in clinical scenarios is crucial to assessing their potential clinical utility. Existing benchmarks rely heavily on static question-answering, which does not accurately depict the c…
• GDPVAL: Evaluating AI Model Performance on Real-World Economically Valuable Tasks
  2026 · AI 安全与对齐 · We introduce GDPval, a benchmark evaluating AI model capabilities on realworld economically valuable tasks. GDPval covers the majority of U.S. Bureau of Labor Statistics Work Activities for 44 occupations across the top …
• Artificial Intelligence agents for biological research: a survey
  2026 · 医疗人工智能 · The rapid growth of biological data and experimental complexity has motivated increasing interest in artificial intelligence (AI) systems that extend beyond static prediction toward autonomous reasoning and action. While…
• The Carbon Cost of Intelligence: A Domain-Specific Framework for Measuring AI Energy and Emissions
  2026 · 医疗人工智能 · The accelerating energy demands from artificial intelligence (AI) deployment introduce systemic challenges for achieving carbon neutrality. Large language models (LLMs) represent a dominant driver of AI energy consumptio…
• A Dataset for Evaluating Large Language Models on Chinese National Medical Licensing Examinations
  2026 · 医疗人工智能 · Large language models (LLMs) are increasingly applied in medical education, question answering, and clinical reasoning, yet standardized datasets in non-English contexts remain limited. To address this gap, we present CN…
• Metal–Hydrogen Batteries and Decoupled Electrolyzers: Converging Pathways for Hydrogen-Integrated Energy Storage
  2026 · 碳中和与 CCUS · High Resolution Image Download MS PowerPoint Slide Electrochemical energy storage and hydrogen conversion have historically been developed as separate technologies, yet their chemistries and engineering challenges overla…
• A Scale-Consistent Adsorption Model for Polymer-Based Adsorbents in Direct Air Capture
  2026 · 碳中和与 CCUS · Energy-efficient and cost-effective Direct Air Capture of CO2 is considered key for carbon dioxide removal and carbon capture and utilization. However, separating CO2 from air is inherently challenging due to its low con…
• PathoMIC: A Benchmark for Cross-Species Antimicrobial Peptide Activity Prediction
  2026 · 碳中和与 CCUS · With activity against multidrug-resistant pathogens and mechanisms distinct from conventional antibiotics, antimicrobial peptides (AMPs) offer a promising approach to combating antibiotic-resistant infections. However, t…
• Environmental Benchmarking for Sustainable Clinker Production: A Harmonized Cradle-to-Gate Life Cycle Assessment Using Real Industrial Data
  2026 · 碳中和与 CCUS · Clinker production is the main contributor to the environmental footprint of cement manufacturing and represents a key target for improving the sustainability of the cement industry. This study presents a harmonized crad…
• Digitalisation of Shipyard Production Planning: A Review of Simulation, Optimisation, AI, and Digital Twin Methods (2010–2025)
  2026 · 数字孪生 · Digitalisation is reshaping shipyard production, yet its methodological foundations remain fragmented across simulation, optimisation, Artificial Intelligence (AI), and Digital Twin (DT) research streams. This paper pres…
• Integrating Advanced AI techniques to assist Urban Digital Twins Generation
  2026 · 数字孪生 · Abstract. Digital twins play a crucial role in autonomous driving applications and transportation system simulations. The need for large scale and dynamic information has increased interest in generating urban digital tw…
• Quantum-Centric Alchemical Free Energy Calculations
  2026 · 量子材料 · In this work, we extended the book-ending framework with a hybrid quantum-classical workflow that incorporates configuration interaction (CI) calculations into alchemical free energy (AFE) predictions. In the book-ending…
• Demo: Healthcare Agent Orchestrator (HAO) for Patient Summarization in Molecular Tumor Boards
  2025 · AI Agent 生态 · Molecular Tumor Boards (MTBs) are multidisciplinary forums where oncology specialists collaboratively assess complex patient cases to determine optimal treatment strategies. A central element of this process is the patie…
• MedAgentBench: A Virtual EHR Environment to Benchmark Medical LLM Agents
  2025 · AI Agent 生态 · BACKGROUND Recent large language models (LLMs) have demonstrated significant advancements, particularly in their ability to serve as agents, thereby surpassing their traditional role as chatbots.These agents can leverage…
• ELT-Bench: An End-to-End Benchmark for Evaluating AI Agents on ELT Pipelines
  2025 · AI Agent 生态 · Practitioners are increasingly turning to Extract-Load-Transform (ELT) pipelines with the widespread adoption of cloud data warehouses. However, designing these pipelines often involves significant manual work to ensure …
• Bridging resource gaps in cross-lingual sentiment analysis: adaptive self-alignment with data augmentation and transfer learning
  2025 · AI 安全与对齐 · Cross-lingual sentiment analysis plays a crucial role in accurately interpreting emotions across diverse linguistic contexts. However, performance disparities remain a major challenge, particularly in fewer-resource (inc…
• Ensemble learning approach with explainable AI for improved heart disease prediction
  2025 · AI 安全与对齐 · Introduction: Heart disease remains a leading cause of global morbidity and mortality, motivating the development of predictive models that are both accurate and clinically interpretable. We introduce the Interpretable E…
• The neurobench framework for benchmarking neuromorphic computing algorithms and systems
  2025 · 生物计算 · Neuromorphic computing shows promise for advancing computing efficiency and capabilities of AI applications using brain-inspired principles. However, the neuromorphic research field currently lacks standardized benchmark…
• Extending quantum-mechanical benchmark accuracy to biological ligand-pocket interactions
  2025 · 生物计算 · Predicting the binding affinity of ligands to protein pockets is key in the drug design pipeline. The flexibility of ligand-pocket motifs arises from a range of attractive and repulsive electronic interactions during bin…
• Large Language Models lack essential metacognition for reliable medical reasoning
  2025 · 医疗人工智能 · Large Language Models have demonstrated expert-level accuracy on medical board examinations, suggesting potential for clinical decision support systems. However, their metacognitive abilities, crucial for medical decisio…
• Raindrop optimizer: a novel nature-inspired metaheuristic algorithm for artificial intelligence and engineering optimization
  2025 · 医疗人工智能 · This paper presents a novel meta-heuristic optimization method, the Raindrop Algorithm (RD), inspired by natural raindrop phenomena, and explores its applications in artificial intelligence. The raindrop algorithm compri…
• The DRAGON benchmark for clinical NLP
  2025 · 医疗人工智能 · Artificial Intelligence can mitigate the global shortage of medical diagnostic personnel but requires large-scale annotated datasets to train clinical algorithms. Natural Language Processing (NLP), including Large Langua…
• A federated learning-based privacy-preserving image processing framework for brain tumor detection from CT scans
  2025 · 仿生智能 · The detection of brain tumors is crucial in medical imaging, because accurate and early diagnosis can have a positive effect on patients. Because traditional deep learning models store all their data together, they raise…
• Ensemble Surrogates and NSGA-II with Active Learning for Multi-Objective Optimization of WAG Injection in CO2-EOR
  2025 · 碳中和与 CCUS · CO2-enhanced oil recovery (CO2-EOR) with water-alternating-gas (WAG) injection offers the dual benefit of boosted oil production and CO2 storage, addressing both energy needs and climate goals. However, designing CO2-WAG…
• A collective intelligence model for swarm robotics applications.
  2025 · 深海科技 · Swarm intelligence models represent a powerful tool to address complex tasks by multi-agent systems, although they are rarely used in practical applications as decentralized cooperation logic. Modern challenges include t…
• IceBench: A Benchmark for Deep-Learning-Based Sea-Ice Type Classification
  2025 · 深海科技 · Sea ice plays a critical role in the global climate system and maritime operations, making timely and accurate classification essential. However, traditional manual methods are time-consuming, costly, and have inherent b…
• Underwater Optical Object Detection in the Era of Artificial Intelligence: Current, Challenge, and Future
  2025 · 深海科技 · Underwater optical object detection (UOD), aiming at identifying and localising objects in underwater optical images or videos, presents significant challenges due to the optical distortion, water turbidity, and changing…
• Integrating 3D object detection with ontologies for accurate digital twin creation in manufacturing systems
  2025 · 数字孪生 · Abstract The digitization of manufacturing resources through digital twins (DTs) enhances operational efficiency and resource management. Ontologies play a key role in maintaining semantic consistency within DT systems. …
• Genos: a human-centric genomic foundation model
  2025 · 基因技术工具 · BACKGROUND: The rapid expansion of human genomic data demands foundation models that manage ultra-long sequences and capture population diversity, limitations common in existing models that lack human-specific representa…
• Towards fair decentralized benchmarking of healthcare AI algorithms with the Federated Tumor Segmentation (FeTS) challenge
  2025 · 隐私计算与数据要素 · Computational competitions are the standard for benchmarking medical image analysis algorithms, but they typically use small curated test datasets acquired at a few centers, leaving a gap to the reality of diverse multic…
• HtFLlib: A Comprehensive Heterogeneous Federated Learning Library and Benchmark
  2025 · 隐私计算与数据要素 · As AI evolves, collaboration among heterogeneous models helps overcome data scarcity by enabling knowledge transfer across institutions and devices.Traditional Federated Learning (FL) only supports homogeneous models, li…
• A Practical Performance Benchmark of Post-Quantum Cryptography Across Heterogeneous Computing Environments
  2025 · 量子计算 · The emergence of large-scale quantum computing presents an imminent threat to contemporary public-key cryptosystems, with quantum algorithms such as Shor’s algorithm capable of efficiently breaking RSA and elliptic curve…
• Secretary bird optimization algorithm based on quantum computing and multiple strategies improvement for KELM diabetes classification
  2025 · 量子计算 · The classification of chronic diseases has long been a prominent research focus in the field of public health, with widespread application of machine learning algorithms. Diabetes is one of the chronic diseases with a hi…
• Establishing a New Benchmark in Quantum Computational Advantage with 105-qubit Zuchongzhi 3.0 Processor
  2025 · 量子计算 · In the relentless pursuit of quantum computational advantage, we present a significant advancement with the development of Zuchongzhi 3.0. This superconducting quantum computer prototype, comprising 105 qubits, achieves …
• QuantumToolbox.jl: An efficient Julia framework for simulating open quantum systems
  2025 · 量子计算 · We present Q u a n t u m T o o l b o x . j l , an open-source Julia package for simulating open quantum systems. Designed with a syntax familiar to users of Q u T i P (Quantum Toolbox in Python), it harnesses Julia's hig…
• Modified EfficientNet-B0 Architecture Optimized with Quantum-Behaved Algorithm for Skin Cancer Lesion Assessment
  2025 · 量子材料 · Background/Objectives: Skin cancer is one of the most common diseases in the world, whose early and accurate detection can have a survival rate more than 90% while the chance of mortality is almost 80% in case of late di…
• Accurate quantum-centric simulations of intermolecular interactions
  2025 · 量子材料 · Modelling and simulating non-covalent interactions is challenging, as they are inherently weak, dynamic, and system-specific. Common predictive methods often require trading the accuracy for reducing the otherwise cumber…
• QSHO: Quantum spotted hyena optimizer for global optimization
  2025 · 量子材料 · Spotted Hyena Optimizer (SHO) is a population-based metaheuristic algorithm inspired by the spotted hyenas’ social behavior, and it has been developed to solve global optimization problems. SHO has shown superior perform…
• Variational quantum thermalizers based on weakly-symmetric nonunitary multi-qubit operations
  2025 · 量子材料 · Abstract We propose incorporating multi-qubit nonunitary operations in variational quantum thermalizers (VQTs). VQTs are hybrid quantum–classical algorithms that generate the thermal (Gibbs) state of a given Hamiltonian,…
• PPB-Affinity: Protein-Protein Binding Affinity dataset for AI-based protein drug discovery
  2024 · AI 安全与对齐 · Prediction of protein-protein binding (PPB) affinity plays an important role in large-molecular drug discovery. Deep learning (DL) has been adopted to predict the changes of PPB binding affinities upon mutations, but the…
• KorNAT: LLM Alignment Benchmark for Korean Social Values and Common Knowledge
  2024 · AI 安全与对齐 · For Large Language Models (LLMs) to be effectively deployed in a specific country, they must possess an understanding of the nation's culture and basic knowledge.To this end, we introduce National Alignment, which measur…
• Developing the Benchmark: Establishing a Gold Standard for the Evaluation of AI Caries Diagnostics
  2024 · AI 安全与对齐 · Background/Objectives: The aim of this study was to establish a histology-based gold standard for the evaluation of artificial intelligence (AI)-based caries detection systems on proximal surfaces in bitewing images. Met…
• Experimental Demonstration of Reservoir Computing with Self‐Assembled Percolating Networks of Nanoparticles
  2024 · 生物计算 · The complex self-assembled network of neurons and synapses that comprises the biological brain enables natural information processing with remarkable efficiency. Percolating networks of nanoparticles (PNNs) are complex s…
• MetaboAnalyst 6.0: towards a unified platform for metabolomics data processing, analysis and interpretation
  2024 · 生物计算 · We introduce MetaboAnalyst version 6.0 as a unified platform for processing, analyzing, and interpreting data from targeted as well as untargeted metabolomics studies using liquid chromatography - mass spectrometry (LC-M…
• Deep learning in marine bioacoustics: a benchmark for baleen whale detection
  2024 · 深海科技 · Abstract Passive acoustic monitoring (PAM) is commonly used to obtain year‐round continuous data on marine soundscapes harboring valuable information on species distributions or ecosystem dynamics. This continuously incr…
• Advancing Digital Twin Technology in Manufacturing: A Comprehensive Study on Data Capture and Simulation of End Mills
  2024 · 数字孪生 · Abstract This research presents a significant advancement in digital twin technology within the manufacturing sector, focusing on enhancing data acquisition and simulation processes during critical product lifecycle phas…
• From data to action in flood forecasting leveraging graph neural networks and digital twin visualization
  2024 · 数字孪生 · Forecasting floods encompasses significant complexity due to the nonlinear nature of hydrological systems, which involve intricate interactions among precipitation, landscapes, river systems, and hydrological networks. R…
• Revised temperatures for two benchmark M-dwarfs – outliers no more
  2024 · 地外科学 · ABSTRACT Well-characterized M-dwarfs are rare, particularly with respect to effective temperature. In this letter, we re-analyse two benchmark M-dwarfs in eclipsing binaries from Kepler/K2: KIC 1571511AB and HD 24465AB. …
• Validation of the OpenMC Code for Fusion Applications: The FNG-Streaming Benchmark Case
  2024 · 核能 · In this work, we benchmark OpenMC against the FNG-ITER streaming experiment. FNG-ITER streaming, a high-quality experiment carried out at the ENEA laboratories in Frascati, Italy, was initially included in SINBAD (Shield…
• Iteration-Free quantum approximate optimization algorithm using neural networks
  2024 · 量子材料 · Abstract The quantum approximate optimization algorithm (QAOA) is a leading iterative variational quantum algorithm for heuristically solving combinatorial optimization problems. A large portion of the computational effo…
• Reflexion: Language Agents with Verbal Reinforcement Learning
  2023 · AI Agent 生态 · Large language models (LLMs) have been increasingly used to interact with external environments (e.g., games, compilers, APIs) as goal-driven agents. However, it remains challenging for these language agents to quickly a…
• GenImage: A Million-Scale Benchmark for Detecting AI-Generated Image
  2023 · AI 安全与对齐 · The extraordinary ability of generative models to generate photographic images has intensified concerns about the spread of disinformation, thereby leading to the demand for detectors capable of distinguishing between AI…
• Alignment for Honesty
  2023 · AI 安全与对齐 · Recent research has made significant strides in aligning large language models (LLMs) with helpfulness and harmlessness. In this paper, we argue for the importance of alignment for \emph{honesty}, ensuring that LLMs proa…
• Towards Generalist Biomedical AI
  2023 · AI 安全与对齐 · Medicine is inherently multimodal, with rich data modalities spanning text, imaging, genomics, and more. Generalist biomedical artificial intelligence (AI) systems that flexibly encode, integrate, and interpret this data…
• Power‐Efficient Multisensory Reservoir Computing Based on Zr‐Doped HfO2 Memcapacitive Synapse Arrays
  2023 · 生物计算 · Abstract Hardware implementation tailored to requirements in reservoir computing would facilitate lightweight and powerful temporal processing. Capacitive reservoirs would boost power efficiency due to their ultralow sta…
• Towards Medical Artificial General Intelligence via Knowledge-Enhanced Multimodal Pretraining
  2023 · 医疗人工智能 · Medical artificial general intelligence (MAGI) enables one foundation model to solve different medical tasks, which is very practical in the medical domain. It can significantly reduce the requirement of large amounts of…
• Capabilities of GPT-4 on Medical Challenge Problems
  2023 · 医疗人工智能 · Large language models (LLMs) have demonstrated remarkable capabilities in natural language understanding and generation across various domains, including medicine. We present a comprehensive evaluation of GPT-4, a state-…
• Source-Free Domain Adaptation for SSVEP-based Brain-Computer Interfaces
  2023 · 仿生智能 · Objective: SSVEP-based BCI spellers assist individuals experiencing speech difficulties by enabling them to communicate at a fast rate. However, achieving a high information transfer rate (ITR) in most prominent methods …
• Neuromorphic control of a simulated 7-DOF arm using Loihi
  2023 · 仿生智能 · Abstract In this paper, we present a fully spiking neural network running on Intel’s Loihi chip for operational space control of a simulated 7-DOF arm. Our approach uniquely combines neural engineering and deep learning …
• Artificial Intelligence for Cognitive Health Assessment: State-of-the-Art, Open Challenges and Future Directions
  2023 · 边缘智能 · Abstract The subjectivity and inaccuracy of in-clinic Cognitive Health Assessments (CHA) have led many researchers to explore ways to automate the process to make it more objective and to facilitate the needs of the heal…

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