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GeneTech 知识引擎共收录 721 篇相关科研实体，横跨 28 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…
• 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, …
• 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…
• 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…
• 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…
• 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…
• 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…
• 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…
• 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…
• 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…
• 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…
• 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…
• 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 …
• ExploraTwin, a Non-Profit Research Platform for Digital Twin Simulations
  2026 · 数字孪生 · Digital twin simulations show promise, but current empirical evidence suggests that the approach should be tested before being deployed in any particular context. To lower the friction for researchers and practitioners t…
• Blockchain Infrastructure for Intelligent Cyber--Physical--Social Systems:Post-Quantum Security, Interoperability, and Trustworthy Data Economies in the Era of Embodied AI
  2026 · 具身智能 · The deployment of embodied artificial intelligence via world-model-based robotics presents a transformative opportunity for blockchain infrastructure, establishing urgent demand for trustworthy data provenance, cross-org…
• Thinker: A vision-language foundation model for embodied intelligence
  2026 · 具身智能 · When large vision-language models are applied to the field of robotics, they encounter problems that are simple for humans yet error-prone for models. Such issues include confusion between third-person and first-person p…
• GigaBrain-WBC-0.5: A Behavior World Model for Robust Whole-Body Control with Environment Interaction
  2026 · 具身智能 · Whole-body motion tracking policies turn a humanoid into a robust control interface: the teleoperator---or an upstream model---only supplies a coarse movement intent, while the low-level policy keeps the robot balanced a…
• Physical Agentic AI: An Architecture for Orchestrating a Robot Crew with LLMs
  2026 · 具身智能 · Agentic AI frameworks interpret open-ended task goals and decompose them into multi-step plans. Richer information about embodiment-specific capabilities, physical preconditions, and cross-robot coordination improves gro…
• Towards Next-Generation Healthcare: A Survey of Medical Embodied AI for Perception, Decision-Making, and Action
  2026 · 具身智能 · Foundation models have demonstrated impressive performance in enhancing healthcare efficiency across a wide range of medical applications. Nevertheless, their limited ability to perceive, understand, and interact with th…
• AI-IoT-Robotics Integration: Survey of Frameworks, Emerging Trends, and the Path Toward Connected Robotics
  2026 · 具身智能 · The convergence of Artificial Intelligence, the Internet of Things, and Robotics is no longer a futuristic vision; it is rapidly becoming the foundation of real-time, intelligent, and context-aware systems. AI enables pe…
• Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses
  2026 · 具身智能 · Embodied Artificial Intelligence (Embodied AI) integrates perception, cognition, planning, and interaction into agents that operate in open-world, safety-critical environments. As these systems gain autonomy and enter do…
• 6G Communication Networks Enabling Embodied Agents: Architecture and Prototype
  2026 · 具身智能 · Embodied agents, which couple intelligent decision-making with physical actuation in the real world, impose far more stringent and heterogeneous communication requirements than purely software-based agents. While 6G prom…
• From Perception to Action: Spatial AI Agents and World Models
  2026 · 具身智能 · While large language models have become the prevailing approach for agentic reasoning and planning, their success in symbolic domains does not readily translate to the physical world. Spatial intelligence, the ability to…
• Agentic Artificial Intelligence (AI): Architectures, Taxonomies, and Evaluation of Large Language Model Agents
  2026 · 具身智能 · Artificial Intelligence is moving from models that only generate text to Agentic AI, where systems behave as autonomous entities that can perceive, reason, plan, and act. Large Language Models (LLMs) are no longer used o…
• Token-Based Affordance Grounding with Large Vision-Language Models
  2026 · 具身智能 · Affordance grounding aims to localize image regions that support a specific action, serving as a core capability for physical intelligence and embodied perception. Previous studies have primarily relied on weakly supervi…
• From Noise to Intent: Anchoring Generative VLA Policies with Residual Bridges
  2026 · 具身智能 · Bridging high-level semantic understanding with low-level physical control remains a persistent challenge in embodied intelligence, stemming from the fundamental spatiotemporal scale mismatch between cognition and action…
• PointGS: Semantic-Consistent Unsupervised 3D Point Cloud Segmentation with 3D Gaussian Splatting
  2026 · 具身智能 · Unsupervised point cloud segmentation is critical for embodied artificial intelligence and autonomous driving, as it mitigates the prohibitive cost of dense point-level annotations required by fully supervised methods. W…
• 3D-VCD: Hallucination Mitigation in 3D-LLM Embodied Agents through Visual Contrastive Decoding
  2026 · 具身智能 · Large multimodal models are increasingly used as the reasoning core of embodied agents operating in 3D environments, yet they remain prone to hallucinations that can produce unsafe and ungrounded decisions. Existing infe…
• Not Forgotten: Implementation and Evaluation of a Personalized Episodic Memory for the Humanoid Robot Head Kim
  2026 · 具身智能 · Social robots that rely on large language models for conversation are unable to retain information across sessions. This absence of memory violates social expectations, potentially preventing the formation of persistent …
• Cooperative Robotics Reinforced by Collective Perception for Traffic Moderation
  2026 · 具身智能 · Collisions at non-line-of-sight (NLOS) intersections remain a major safety concern because drivers have limited visibility of approaching traffic. V2X based warnings can reduce these risks, yet many vehicles are not equi…
• MotionBricks: Scalable Real-Time Motions with Modular Latent Generative Model and Smart Primitives
  2026 · 具身智能 · Despite transformative advances in generative motion synthesis, real-time interactive motion control remains dominated by traditional techniques. In this work, we identify two key challenges in bridging research and prod…
• LEGO: Latent-space Exploration for Geometry-aware Optimization of Humanoid Kinematic Design
  2026 · 具身智能 · Designing robot morphologies and kinematics has traditionally relied on human intuition, with little systematic foundation. Motion-design co-optimization offers a promising path toward automation, but two major challenge…
• A Multimodal Framework for Human-Multi-Agent Interaction
  2026 · 具身智能 · Human-robot interaction is increasingly moving toward multi-robot, socially grounded environments. Existing systems struggle to integrate multimodal perception, embodied expression, and coordinated decision-making in a u…
• VividFace: Real-Time and Realistic Facial Expression Shadowing for Humanoid Robots
  2026 · 具身智能 · Humanoid facial expression shadowing enables robots to realistically imitate human facial expressions in real time, which is critical for lifelike, facially expressive humanoid robots and affective human-robot interactio…
• Decoupling Planning and Control for Instructable Agents
  2026 · 具身智能 · 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…
• VLANeXt: Recipes for Building Strong VLA Models
  2026 · 具身智能 · Following the rise of large foundation models, Vision-Language-Action models (VLAs) emerged, leveraging strong visual and language understanding from Vision-Language Models for general-purpose policy learning. Yet, the c…
• ForeTime-VLA: Causal Future-Token Distillation from a World Action Model for Conveyor-Belt Manipulation
  2026 · 具身智能 · Manipulating moving objects requires a policy to anticipate contact events, yet vision-language-action (VLA) policies are commonly fine-tuned from the current observation alone. World action models (WAMs) learn predictiv…
• Pre-Decoding Acoustic Triage for Budgeted Vision-Language Captioning of Untrimmed Egocentric Video
  2026 · 具身智能 · Automatically analyzing hours-long egocentric video is increasingly essential for progress monitoring, quality control, and safety in logistics, construction, and manufacturing. Yet current pipelines that process short, …
• WNM-3D: A World Navigation Model with 3D Scene Conditioning for Closed-Loop VLN
  2026 · 具身智能 · Recent vision-language navigation (VLN) systems increasingly adapt pretrained vision-language models (VLMs) into vision-language-action (VLA) policies that map egocentric observations and language instructions directly t…
• SafeBranch: Branch-Pair Safety Alignment for Embodied Agents
  2026 · 具身智能 · Vision-language-model-based embodied agents can complete instructed tasks but often violate safety constraints in the process, a problem recently framed as interactive safety. Training such agents to act safely is diffic…
• Evolve Vision-Language-Action Model into an Agent with On-the-fly Tool-use
  2026 · 具身智能 · This paper integrates end-to-end Visual-Language-Action (VLA) models with agentic tool-use to propose Agentic Robot with Tool-use (ART). ART is a tool-injection framework that tunes any VLA model to leverage off-the-shel…
• WAM-Diff2: Hierarchical AR-to-Diffusion Distillation for Highly Efficient Autonomous Driving VLA
  2026 · 具身智能 · Vision-Language-Action (VLA) models have emerged as a prominent paradigm for end-to-end autonomous driving; however, their efficient deployment is severely constrained by high computational latency and exposure bias aris…
• NebulaVLA: A Dual-Frequency Vision-Language-Action Model With Guide Action for Robotic Manipulation
  2026 · 具身智能 · Real-world deployment of Vision-Language-Action (VLA) models is often bottlenecked by efficiency-performance trade-offs, cross-embodiment generalization, and execution smoothness. We present NebulaVLA, an asynchronous du…
• 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…
• 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 …
• 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…
• A Model-Driven Engineering Approach to AI-Powered Healthcare Platforms
  2025 · 医疗人工智能 · Artificial intelligence (AI) has the potential to transform healthcare by supporting more accurate diagnoses and personalized treatments. However, its adoption in practice remains constrained by fragmented data sources, …
• Keeping Medical AI Healthy and Trustworthy: A Review of Detection and Correction Methods for System Degradation
  2025 · 医疗人工智能 · Artificial intelligence (AI) is increasingly integrated into modern healthcare, offering powerful support for clinical decision-making. However, in real-world settings, AI systems may experience performance degradation o…

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