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fos computer and information sciences

GeneTech 知识引擎共收录 2976 篇相关科研实体，横跨 30 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）

• Prove2Me: An Open Collaborative Platform for Scaling Math Formalization
  2026 · AI Agent 生态 · Proof assistants such as Lean 4 promise the paradigm of formally verified mathematics, but large-scale formalization projects have faced major barriers to entry, including the need for expertise in formal verification (a…
• LLM-generated personalized nudges for improving pro-environmental behavior: Field evidence from resource conservation
  2026 · AI Agent 生态 · Encouraging pro-environmental behavior remains a major challenge for sustainable cities. Conventional feedback nudges can show individuals how their current behavior compares with environmental goals but often provide li…
• Diff Mining: Logit Differences Reveal Finetuning Objectives
  2026 · AI Agent 生态 · Finetuning has become the gold standard for refining existing behaviors and inducing new ones in language models, yet it often remains unclear exactly which behaviors emerge during this process. As models grow ever more …
• Decoupling Planning and Control for Instructable Agents
  2026 · AI Agent 生态 · Recent work shows that pre-trained, instruction-tuned vision-language models (VLMs) perform well at mapping from instructions and observations to high-level plans, but struggle to realize such plans as reliable low-laten…
• Decentralized Granular Access Control for Agentic AI Systems in Critical Infrastructure
  2026 · AI Agent 生态 · The deployment of autonomous AI agents in production infrastructure introduces fundamental security challenges that traditional role-based access control (RBAC) models cannot address. Unlike deterministic automation, AI …
• LLM Agents Perform Controlled Experiments Using Simulation Models
  2026 · AI Agent 生态 · Large language models (LLMs) have shown strong capabilities in reasoning, planning, and tool use, but many scientific and engineering tasks require more than plausible text and code generation. They require understanding…
• LUCID: An Agentic AI Framework on Digital-Twin in the Loop for QoS-Guaranteeing Robotic Control
  2026 · AI Agent 生态 · Cloud robotics relies on the timely uplink of high-volume sensing streams, yet dynamic environments continually shift the feasible combinations of trajectories, active-robot count, and per-robot QoS. Because existing app…
• Simultaneous Dual-View Mammogram Synthesis Using Denoising Diffusion Probabilistic Models
  2026 · AI 安全与对齐 · Breast cancer screening relies heavily on mammography, where the craniocaudal (CC) and mediolateral oblique (MLO) views provide complementary information for diagnosis. However, many datasets lack complete paired views, …
• Expected Reward Prediction, with Applications to Model Routing
  2026 · AI 安全与对齐 · Reward models are a standard tool to score responses from LLMs. Reward models are built to rank responses to a fixed prompt sampled from a single model, for example to choose the best of n sampled responses. In this pape…
• Evolving Safety Landscape of Multi-modal Large Language Models: A Survey of Emerging Threats and Safeguards
  2026 · AI 安全与对齐 · Multi-modal large language models (MLLMs) integrate heterogeneous modalities through modality alignment and fusion, enabling stronger understanding and reasoning. However, this architectural shift reshapes the safety lan…
• Report of the 2026 Workshop on Next-Generation Ecosystems for Scientific Computing: Harnessing Community, Software, and AI for Cross-Disciplinary Team Science
  2026 · AI 驱动科学发现 · Scientific computing is undergoing rapid transformation as advances in artificial intelligence, heterogeneous computing, automation, and data-intensive research reshape not only computational tools but also the instituti…
• Diff Mining: Logit Differences Reveal Finetuning Objectives
  2026 · AI 驱动科学发现 · Finetuning has become the gold standard for refining existing behaviors and inducing new ones in language models, yet it often remains unclear exactly which behaviors emerge during this process. As models grow ever more …
• FIRSTPASS: A Multi-Domain, Multi-Round Peer Review Dataset Grounded in Real Editorial Outcomes
  2026 · AI 驱动科学发现 · Scientific peer review datasets have trained AI systems exclusively on Computer Science and Machine Learning venues, producing models that critique ablation studies yet have never seen a biology reviewer demand contamina…
• First-Principles Atomistic Structure and Dynamics of Polyethylene During High-Pressure Radical Polymerization via Machine Learning Force Fields
  2026 · AI 驱动科学发现 · Polyethylene (PE) is one of the most commonly used synthetic polymers. While the synthesis and processing protocols for PE are well established, precise experimental assignment of microscopic structures at atomistic reso…
• ALKEMIE Agent: an autonomous platform for computational materials design
  2026 · AI 驱动科学发现 · Despite the powerful multi-scale modeling methods and high-throughput infrastructures established in the materials community, real material computation workflows remain fragmented and heavily manual, requiring researcher…
• Robust and Interpretable Adaptation of Equivariant Materials Foundation Models via Sparsity-promoting Fine-tuning
  2026 · AI 驱动科学发现 · Pre-trained materials foundation models, or machine learning interatomic potentials, leverage general physicochemical knowledge to effectively approximate potential energy surfaces. However, they often require domain-spe…
• From Evaluation to Design: Using Potential Energy Surface Smoothness Metrics to Guide Machine Learning Interatomic Potential Architectures
  2026 · AI 驱动科学发现 · Machine Learning Interatomic Potentials (MLIPs) sometimes fail to reproduce the physical smoothness of the quantum potential energy surface (PES), leading to erroneous behavior in downstream simulations that standard ene…
• Connecting Meteorite Spectra to Lunar Surface Composition Using Hyperspectral Imaging and Machine Learning
  2026 · 地外矿物 · We present an innovative, cost-effective framework integrating laboratory Hyperspectral Imaging (HSI) of the Bechar010 Lunar meteorite with ground-based lunar HSI and supervised Machine Learning(ML) to generate high-fide…
• A Bayes-Markov Neuromorphic Model of Cortical Orientation Selectivity: A Computational Re-implementation and Quantitative Simulation Study
  2026 · 生物计算 · The emergence of orientation selectivity in the primary visual cortex (V1) remains a central question in computational neuroscience. Shirazi's Bayes-Markov model proposed a probabilistic explanation for how orientation-s…
• Loom: Multi-Region Analysis of Spatial Transcriptomics with Local Neighborhoods and Global Trajectories
  2026 · 生物计算 · We present Loom, a spatial transcriptomics (ST) visual computing system to support the analysis of pseudo-temporal trajectories, comparative investigation across samples and regions of interest, and the examination of sp…
• SCOPE: Siamese Contrastive Operon Pair Embeddings for Functional Sequence Representation and Classification
  2026 · 生物计算 · Identifying operons is a fundamental step in understanding prokaryotic gene regulation, as classifying genes into operons supports the reconstruction of regulatory networks, functional annotation of unannotated genes, an…
• What Makes a Bacterial Model a Good Reservoir Computer? Predicting Performance from Separability and Similarity
  2026 · 生物计算 · Biological systems are promising substrates for computation because they naturally process environmental information through complex internal dynamics. In this study, we investigate whether bacterial metabolic models can…
• Scalable Message-Passing Quantum Graph Neural Networks in the Weisfeiler-Leman Hierarchy
  2026 · 生物计算 · Graphs provide a natural language for relational data in chemistry, biology and optimisation. Graph neural networks (GNNs) have driven much of the recent progress in learning from such data through message passing, a sin…
• Scaling Hawkes Processes
  2026 · 生物计算 · Hawkes processes (HP) are a large class of stochastic point process models scientists have used to analyze contagion phenomena ranging from earthquakes, infectious diseases and biological neurons to financial trading act…
• Heterogeneous SoC Integrating an Open-Source Recurrent SNN Accelerator for Neuromorphic Edge Computing on FPGA
  2026 · 生物计算 · The growing popularity of Spiking Neural Networks (SNNs) and their applications has led to a significant fast-paced increase of neuromorphic architectures capable of mimicking the spike-based data processing typical of b…
• Life as Plasmas: Autonomy and Interactivism in-materio
  2026 · 生物计算 · When is a material system a candidate for life at all? We argue that this question is prior to behavior, functional architecture, or computational capacity, and that at root it is one of physical admissibility. We develo…
• Cell-type-specific synaptic motifs generate coupled mean-variability dynamics in recurrent neural networks
  2026 · 生物计算 · Synaptic-resolution network connectomics has revealed that brain circuits feature fine-scale structural connectivity, such as pairs of correlated synaptic couplings known as second-order motifs. Large-scale recordings of…
• Redakto - The Incognito Tab for LLMs
  2026 · 医疗人工智能 · Large Language Models (LLMs) are being increasingly used in everyday applications. A major challenge in the context of LLMs or Artificial Intelligence (AI) in general is to ensure privacy when using them, meaning that pe…
• TractoGraphVLM: A Unified Vision-Language Framework for White Matter Tractography
  2026 · 医疗人工智能 · Vision language models have transformed 2D medical imaging, yet extending them to 3D white matter tractography remains challenging due to the complex topology of fiber bundles. We introduce TractoGraphVLM, a unified fram…
• Harnessing Magnitude-Only and Complex Measurements for Improved Dynamic MRI Reconstruction with Learned Priors
  2026 · 医疗人工智能 · MRI reconstruction methods for undersampled k-space data naturally utilize complex-valued measurements. Parallel developments in sparse phase retrieval have shown that magnitude-only measurements may provide complementar…
• FedAgain: A Trust-Based and Robust Federated Learning Strategy for an Automated Kidney Stone Identification in Ureteroscopy
  2026 · 医疗人工智能 · The reliability of artificial intelligence (AI) in medical imaging critically depends on its robustness to heterogeneous and corrupted images acquired with diverse devices across different hospitals which is highly chall…
• Computational Pathology in the Era of Emerging Foundation and Agentic AI -- International Expert Perspectives on Clinical Integration and Translational Readiness
  2026 · 医疗人工智能 · Recent breakthroughs in artificial intelligence through foundation models and agents have accelerated the evolution of computational pathology. Demonstrated performance gains reported across academia in benchmarking data…
• Flow Matching Meets 3D Curvilinear Structure Segmentation in Medical Imaging
  2026 · 医疗人工智能 · Segmentation of curvilinear anatomical structures in 3D medical images remains challenging due to complex topology, severe class imbalance, weak contrast, and large variations in structure morphology. While deep learning…
• Restoring rapid natural bimanual typing with a neuroprosthesis after paralysis
  2026 · 仿生智能 · Recognizing keyboard typing as a familiar, high information rate communication paradigm, we developed an intracortical brain computer interface (iBCI) typing neuroprosthesis providing bimanual QWERTY keyboard functionali…
• A 2-Block Architecture for Real-Time EEG Gait Decoding: A Pilot Study
  2026 · 仿生智能 · Closed-loop lower-limb exoskeleton control via Electroencephalography (EEG) remains limited by motion artifacts, low signal-to-noise ratio, and binary gait formulations that fail to capture full cortical gait complexity.…
• An Approach to Simultaneous Acquisition of Real-Time MRI Video, EEG, and Surface EMG for Articulatory, Brain, and Muscle Activity During Speech Production
  2026 · 仿生智能 · Speech production is a complex process spanning neural planning, motor control, muscle activation, and articulatory kinematics. While the acoustic speech signal is the most accessible product of the speech production act…
• An Augmented Reality Brain-Robot Interface for Generalist Robot Arm Manipulation
  2026 · 仿生智能 · The integration of augmented reality (AR) and EEG-based brain-computer interfaces (BCIs) offers a promising path for enabling intuitive control of robots for assistive purposes. However, existing AR brain-robot interface…
• Deep Sleep Classification via EEG Signal Criticality: A Passive BCI Approach for Sleep-Improvement Neurofeedback
  2026 · 仿生智能 · Automated sleep staging is a fundamental application of passive Brain-Computer Interfaces (pBCI), decoding spontaneous neural states to enable closed-loop interventions independent of user intent. This study evaluates cr…
• RAG-based EEG-to-Text Translation Using Deep Learning and LLMs
  2026 · 仿生智能 · The decoding of linguistic information from electroencephalography (EEG) signals remains an extremely challenging problem in brain-computer interface (BCI) research. In particular, sentence-level decoding from EEG is dif…
• Data from: Decoding intended speech with an intracortical brain-computer interface in a person with longstanding anarthria and locked-in syndrome
  2026 · 仿生智能 · Intracortical brain-computer interfaces (iBCIs) for decoding intended speech have provided individuals with ALS and severe dysarthria an intuitive method for high-throughput communication. These advances have been demons…
• Energy-Based Dynamical Models for Neurocomputation, Learning, and Optimization
  2026 · 脑科学 · Recent advances at the intersection of control theory, neuroscience, and machine learning have revealed novel mechanisms by which dynamical systems perform computation. These advances encompass a wide range of conceptual…
• Neuromorphic architectures as numerical solvers for computational neuroscience
  2026 · 脑科学 · Neuromorphic computing is closely associated with spiking neuronal networks. However, an alternative class of so-called "rate-based" models arising from computational neuroscience and machine learning forgoes spiking int…
• Simple Models, Rich Representations: Visual Decoding from Primate Intracortical Neural Signals
  2026 · 脑科学 · Understanding how neural activity gives rise to perception is a central challenge in neuroscience. We address the problem of decoding visual information from high-density intracortical recordings in primates, using the T…
• FIRSTPASS: A Multi-Domain, Multi-Round Peer Review Dataset Grounded in Real Editorial Outcomes
  2026 · 脑科学 · Scientific peer review datasets have trained AI systems exclusively on Computer Science and Machine Learning venues, producing models that critique ablation studies yet have never seen a biology reviewer demand contamina…
• A Comprehensive Comparison of Deep Learning Architectures for COVID-19 Classification on CT & X-ray Imagery
  2026 · 脑科学 · COVID-19 was a significant challenge that led to the loss of numerous lives daily. Not only a certain country was involved in this outbreak, but even the world has suffered because of the coronavirus. Imaging techniques …
• Effective Parameters, Real Behavior: Renormalization for Robotics -- From Infinite Electron Mass to Sim-to-Real Gap
  2026 · 深海科技 · Bridging the sim-to-real gap is a central problem in robotics, and the prevailing approach is to build increasingly accurate simulators. Here, we propose another approach based on renormalization: using effective, resolu…
• OceanGym: A Benchmark Environment for Underwater Embodied Agents
  2025 · AI Agent 生态 · We introduce OceanGym, the first comprehensive benchmark for ocean underwater embodied agents, designed to advance AI in one of the most demanding real-world environments. Unlike terrestrial or aerial domains, underwater…
• Multi-agent Auditory Scene Analysis
  2025 · AI Agent 生态 · Auditory scene analysis (ASA) aims to retrieve information from the acoustic environment, by carrying out three main tasks: sound source location, separation, and classification. These tasks are traditionally executed wi…
• ContestTrade: A Multi-Agent Trading System Based on Internal Contest Mechanism
  2025 · AI Agent 生态 · In financial trading, large language model (LLM)-based agents demonstrate significant potential, but their decisions can be sensitive to noisy and non-stationary market information. We propose ContestTrade, a multi-agent…
• One Request, Multiple Experts: LLM Orchestrates Domain Specific Models via Adaptive Task Routing
  2025 · AI Agent 生态 · With the integration of massive distributed energy resources and the widespread participation of novel market entities, the operation of active distribution networks (ADNs) is progressively evolving into a complex, multi…
• Progressive Multimodal Interaction Network for Reliable Quantification of Fish Feeding Intensity in Aquaculture
  2025 · 智慧农业 · Accurate quantification of fish feeding intensity is crucial for precision feeding in aquaculture, as it directly affects feed utilization and farming efficiency. Although multimodal fusion has proven to be an effective …
• RAPID: Retrieval-Augmented Parallel Inference Drafting for Text-Based Video Event Retrieval
  2025 · AI 安全与对齐 · Retrieving events from videos using text queries has become increasingly challenging due to the rapid growth of multimedia content. Existing methods for text-based video event retrieval often focus heavily on object-leve…
• Smoothed Embeddings for Robust Language Models
  2025 · AI 安全与对齐 · Improving the safety and reliability of large language models (LLMs) is a crucial aspect of realizing trustworthy AI systems. Although alignment methods aim to suppress harmful content generation, LLMs are often still vu…
• Aligning Compound AI Systems via System-level DPO
  2025 · AI 安全与对齐 · Compound AI systems, comprising multiple interacting components such as LLMs, foundation models, and external tools, have demonstrated remarkable improvements compared to single models in various tasks. To ensure their e…
• The Missing Variable: Socio-Technical Alignment in Risk Evaluation
  2025 · AI 安全与对齐 · This paper addresses a critical gap in the risk assessment of AI-enabled safety-critical systems. While these systems, where AI systems assist human operators, function as complex socio-technical systems, existing risk e…
• HIP: Hessian Interatomic Potentials without derivatives
  2025 · AI 驱动科学发现 · Molecular Hessians, the second derivatives of the potential energy, are fundamental to many workflows in computational chemistry. Usually, accurate Hessians are computationally expensive to calculate and scale poorly wit…
• OrbitAll: A Unified Quantum Mechanical Representation Deep Learning Framework for All Molecular Systems
  2025 · AI 驱动科学发现 · We introduce OrbitAll, a geometry- and physics-informed deep learning framework that encodes any molecular system with arbitrary charges, spins, and environmental effects using electronic structure information. It utiliz…
• FastCSP: Accelerated Molecular Crystal Structure Prediction with Universal Model for Atoms
  2025 · AI 驱动科学发现 · Molecular crystal structure prediction (CSP) is essential for applications in pharmaceuticals and organic electronics. However, CSP remains challenging and computationally intensive due to the need to explore a large sea…
• P-DRUM: Post-hoc Descriptor-based Residual Uncertainty Modeling for Machine Learning Potentials
  2025 · AI 驱动科学发现 · Ensemble method is considered the gold standard for uncertainty quantification (UQ) in machine learning interatomic potentials (MLIPs). However, their high computational cost can limit its practicality. Alternative techn…
• A practical guide to machine learning interatomic potentials -- Status and future
  2025 · AI 驱动科学发现 · The rapid development and large body of literature on machine learning interatomic potentials (MLIPs) can make it difficult to know how to proceed for researchers who are not experts but wish to use these tools. The spir…

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