Artificial Intelligence articles

Time frame: 1 June 2025 - 30 May 2026

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Count: 307

Article ‘Count’ for Artificial Intelligence.

Journal Count
1
Metal–Organic Framework-Enabled Bimodal Sensory System for Gas Leak Detection and Localization
3
Receptor‐Mimetic Stereo Olfaction for Simultaneous Odor Recognition and Spatial Localization
Opto‐Ion‐Exchange Enabled Active Swarming System
Tailoring COFs with Water and Oxygen Pathways for Efficient Catalyst Interfaces in PEMFCs
1
Improving polygenic risk prediction performance by integrating electronic health records through phenotype embedding
2
General Intelligence-Based Fragmentation (GIF): A Framework for Peak-Labeled Spectra Simulation
Prediction of Retention Time by Combining Multiple Data Sets with Chromatographic Parameter Vectorization and Transfer Learning
1
Enhancing Oxygen Transport in Proton Exchange Membrane Fuel Cell Through Nanoconfined Triple Phase Interface Engineering
1
Deriving Clavien-Dindo Classification from Administrative Data: Development and External Validation in Hepatobiliary Surgery.
5
Coordinated dispatch of hybrid mobile power sources for distribution network restoration: A dynamic gradient masking embedded multi-agent meta-deep reinforcement learning method
Global optimization of wake steering for large-scale wind farms using generalized serial refinement method
Privacy-preserving economic dispatch for multi-energy virtual power plants: A distributed approach against Sybil attacks
Effect of ionomer coverage on Pt surface on local mass transport in the cathode catalyst layer for enhanced proton exchange membrane fuel cell performance
Study on a novel dot array cathode flow field with discrete ship-shaped ribs structures for proton exchange membrane fuel cell
1
Advancements in the application of large language models in urban studies: A systematic review
1
The Best of Both Worlds: How Combining a Large Language Model and a Rules-based Algorithm Makes CAUTI Surveillance More Efficient
1
Exploring the prospects of multimodal large language models for Automated Emotion Recognition in education: Insights from Gemini
4
Rubric-conditioned large language model labeling: Agreement, uncertainty, and label consistency in subjective text annotation
Evaluating Human-Based and Large Language Model-Based Content Analysis: A Case Study on Negative Word-of-Mouth Classification in Social Media
Predicting online group opinions: A hypergraph-enhanced structure deep clustering with LSTM
Balancing human and machine coding: Evaluating the credibility and potential of topic modeling for open-ended survey responses
1
Extending the Observational Medical Outcomes Partnership (OMOP) Common Data Model for Critical Care Medicine: A Framework for Standardizing Complex ICU Data Using the Society of Critical Care Medicine's Critical Care Data Dictionary (C2D2).
14
Many-objective optimization of fuel cell flow channel with triangular baffles based on many-population many-objective gray wolf optimizer
Financial risk comparison of energy generation alternatives from sugarcane bagasse
The bio-inspired contraction-expansion flow fields for high-performance proton exchange membrane fuel cells
Mass Transfer Evaluation Criteria and Mechanisms in Full-Scale PEMFCs with Collaborative Flow Distribution
A nested convection-enhanced serpentine flow field for improving multi-physics distributions in large-scale proton exchange membrane electrolyzers
Semi-Empirical Closed-Form Model for Methane Leakage Monitoring and Sensor Placement
Optimization study of the proton exchange membrane fuel cell with a cathode wave-trapezoid channel based on data-driven method
Triangular baffle design for proton exchange membrane fuel cell bipolar-plate channels evaluated by decoupled multi-physics analysis
Flow fields optimization for PEMFC performance improvement
Fuel economy-emission trade-off optimization for diesel/natural gas dual-fuel engine using many-objective many-population hybrid genetic algorithm
Research on the wave energy capture performance of an underwater vehicle with hydrofoils
A gradient channel-width flow field for temperature uniformity enhancement in ammonia fueled solid oxide fuel cell
Topology optimization of flow distribution zones mitigating preferential flow in large-scale PEM electrolyzers
Fish Scale Bionic Flow Field Design and Performance Analysis of a Proton Exchange Membrane Fuel Cell
2
Deep Fuzzy-NN modeling for the prediction of Zn(II) adsorption in columns using alkaline modified biochar: Integrated experimental and computational insights
AI-Driven neural time series network forecasting and cost analysis for dye removal prediction in packed bed adsorption using ultrasonic biomass composites for sustainable wastewater management
1
Leveraging LLMs for Environmental Complexity: Structured Fine-Tuning Data Sets and Deployment Strategies
1
Artificial intelligence-simplified information to advance reproductive genetic literacy and health equity
196
MPDG-SLAM: Motion Probability-Based 3DGS-SLAM in Dynamic Environment
Stabilizing Humanoid Robot Trajectory Generation via Physics-Informed Learning and Control-Informed Steering
VSLAM-LAB: A Comprehensive Framework for Visual SLAM Methods and Datasets
Experimental Comparison of Whole-Body Control Formulations for Humanoid Robots in Task Acceleration and Task Force Spaces
Merry-Go-Round: Safe Control of Decentralized Multi-Robot Systems with Deadlock Prevention
CTSG: Integrating Context and Way Topology Into Scene Graph for Zero-shot Navigation
Zoned Artificial Repulsion: Path Planning Through Local Minima for Multiple-Robot Dexterous Micromanipulation
A Real-Time Collision-Avoidance Motion Planner for Robot Soccer
Risk Euclidean Distance-based Model Predictive Path Integral to Safety-Critical Obstacle Avoidance
A robust MLTD3 path planning algorithm in unknown environments
AGENTS-LLM: Augmentative GENeration of Challenging Traffic Scenarios with an Agentic LLM Framework
Advancing Object-Goal Navigation through LLM-enhanced Object Affinities Transfer
Language as Cost: Proactive Hazard Mapping using VLM for Robot Navigation
Task-driven SLAM Benchmarking for Robot Navigation
Regrasp Maps for Sequential Manipulation Planning
Design and Control of a 6-DOF Fully Actuated Aerial-Aquatic Robot with Thrust Vectoring
Enhanced Robotic Navigation in Deformable Environments using Learning from Demonstration and Dynamic Modulation
Language-Guided Hierarchical Planning with Scene Graphs for Tabletop Object Rearrangement
GOEN: Guided Obstacle Endpoint Navigation for Real-Time Collision-Free Path Planning in Unstructured Environments
L-SNI: A Language-Driven Semantic Navigation System for Inspection Tasks
Reactive 3D Motion Planning in Dynamic Environments Using Efficient Model Predictive Control via Circular Fields *
SeGMan: Sequential and Guided Manipulation Planner for Robust Planning in 2D Constrained Environments
Nezha-T: a Bi-floating State Lightweight Tail-sitter HAUV
Find Everything: A General Vision Language Model Approach to Multi-Object Search
OpenNav: Open-World Navigation with Multimodal Large Language Models
Physics-Based Gas Mapping with Nano Aerial Vehicles: The ADApprox Algorithm
HeStIa: Asynchronous Embodied Dynamic Locomotion Learning for Walking Robots through Multimodal Large Language Models
DCM Modulation: A Three-Axis Rotation Stabilization Technique for Bipedal Locomotion Control
Observation-Graph Interaction and Key-Detail Guidance for Vision and Language Navigation
GHO-WBC: A Gradient-Based Hierarchical Kinematic Optimization Approach to Enhance the Reachability of a Humanoid Robot
Hierarchical Reactive Task Planning with Temporal Logic and Visual Servoing for Bolt-Tightening Robots in Transmission Towers
LOG-SLAM: Large-Scale Outdoor Gaussian SLAM for Dense Mapping and Loop Closure in Kilometer-Scale Scene Reconstruction
Towards Autonomous Indoor Parking: A Globally Consistent Semantic SLAM System and A Semantic Localization Subsystem
Weakly-supervised VLM-guided Partial Contrastive Learning for Visual Language Navigation
Incremental Language Understanding for Online Motion Planning of Robot Manipulators
Interpreting Behaviors and Geometric Constraints as Knowledge Graphs for Robot Manipulation Control
ACoL: From Abstractions to Grounded Languages for Robust Coordination of Task Planning Robots
Recognizing and Generating Novel Emotional Behaviors on Two Robotic Platforms
LGNav: Zero-Shot Object Navigation Driven by Language and Pointing Gesture Using Large Vision-Language Models
A Partition-Learning-Selection-Augmentation (PLSA) Framework to Solve Forward Kinematics of Parallel Robots
Parameterized Motion Planning for Aerial Manipulators in Contact with Unstructured Surfaces
LTLCodeGen: Code Generation of Syntactically Correct Temporal Logic for Robot Task Planning
LLM-Informed Iterative Planning for Object Search and Relocation in Indoor Environments
Can Real-Time Lipreading Improve Speech Recognition? A Systematic Exploration Using Human-Robot Interaction Data
DRACo-SLAM2: Distributed Robust Acoustic Communication-efficient SLAM for Imaging Sonar Equipped Underwater Robot Teams with Object Graph Matching
Socially-Aware Robot Navigation Enhanced by Bidirectional Natural Language Conversations Using Large Language Models
SemGauss-SLAM: Dense Semantic Gaussian Splatting SLAM
Domain-Conditioned Scene Graphs for State-Grounded Task Planning
B4P: Simultaneous Grasp and Motion Planning for Object Placement via Parallelized Bidirectional Forests and Path Repair
Capsizing-Guided Trajectory Optimization for Autonomous Navigation with Rough Terrain
DriveLMM-o1: A Step-by-Step Reasoning Dataset and Large Multimodal Model for Driving Scenario Understanding
Efficient Collision Detection for Long and Slender Robotic Links in Euclidean Distance Fields: Application to a Forestry Crane
A Robust Stereo Splatting SLAM System with Inertial-Legged Fusion
VLM See, Robot Do: Human Demo Video to Robot Action Plan via Vision Language Model
Efficient and Real-Time Motion Planning for Robotics Using Projection-Based Optimization
VLM Can Be a Good Assistant: Enhancing Embodied Visual Tracking with Self-Improving Vision-Language Models
Safety-Guided RRT*: Hyperoctant Sampling-based Path Planning with SDF-based Robotic Representation
Decentralized Uncertainty-Aware Multi-Agent Collision Avoidance With Model Predictive Path Integral*
Sampling-Based Motion Planning with Discrete Configuration-Space Symmetries
Interactive Object Detection by Mitigating Uncertainty of Robot Task Plans using Large Language Model
Mr. Virgil: Learning Multi-robot Visual-range Relative Localization
Accelerating Focal Search in Multi-Agent Path Finding with Tighter Lower Bounds
GraspMAS: Zero-Shot Language-driven Grasp Detection with Multi-Agent System
Humanoid Whole-Body Locomotion on Narrow Terrain via Dynamic Balance and Reinforcement Learning
LightPlanner: Unleashing the Reasoning Capabilities of Lightweight Large Language Models in Task Planning
Refer and Grasp: Vision-Language Guided Continuous Dexterous Grasping
WiTAH A*: Winding-Constrained Anytime Heuristic Search for a Pair of Tethered Robots
Enhancing Deep Reinforcement Learning-based Robot Navigation Generalization through Scenario Augmentation
Scanning Bot: Efficient Scan Planning using Panoramic Cameras
SaWa-ML: Structure-Aware Pose Correction and Weight Adaptation-Based Robust Multi-Robot Localization
Frontier Shepherding: A Bio-inspired Multi-robot Framework for Large-Scale Exploration
Neural MP: A Neural Motion Planner
Reactive Model Predictive Contouring Control for Robot Manipulators
LLM-Driven Hierarchical Planning: Long-horizon Task Allocation for Multi-Robot Systems in Cross-Regional Environments
Point Cloud-Based Control Barrier Functions for Model Predictive Control in Safety-Critical Navigation of Autonomous Mobile Robots
Adaptive Sliding Window Optimization for Multi-Modal LiDAR Inertial Odometry and Mapping
Inspection Planning Primitives with Implicit Models
Data-Bootstrapped, Physics-Informed Framework for Object Rearrangement
Team Orienteering Problem with Communication Constraints
Nezha-Morphing: Design and Experiments of a Seabird-Inspired Hybrid Aerial Underwater Vehicle
Any-shape Real-time Replanning via Swept Volume SDF
Multi-Robot Coordination in an Adversarial Graph-Traversal Game
Is the House Ready For Sleeptime? Generating and Evaluating Situational Queries for Embodied Question Answering
High-Stiffness Path Planning for 7-DOF Cable-Driven Manipulators in Single and Dual-Arm Configurations
A Novel Terrain Classification System with Planar ECT Sensor
Vision-Language Navigation with Continual Learning for Unseen Environments
Cumulative Informative Path Planning for Efficient Gas Source Localization with Mobile Robots
Safe Lattice Planning for Motion Planning with Dynamic Obstacles
SmartWay: Enhanced Waypoint Prediction and Backtracking for Zero-Shot Vision-and-Language Navigation
Improving Generalization of Language-Conditioned Robot Manipulation
Where to Wait: Postponing the Decision About Waiting Locations in Multi-Agent Path Finding
Learning Distributed End-to-End Hunting Locomotion for Multiple Quadruped Robots
LERa: Replanning with Visual Feedback in Instruction Following
Arena-Bench 2.0: A Comprehensive Benchmark of Social Navigation Approaches in Collaborative Environments
Image-Goal Navigation Using Refined Feature Guidance and Scene Graph Enhancement
WMNav: Integrating Vision-Language Models into World Models for Object Goal Navigation
GDM-Net++: Multi-robot 2D and 3D Gas Distribution Mapping Via Deep Q-Learning and Gaussian Process Regression
Collision Avoidance with Differentiable Occupancy Functions in Object Rearrangement
Uncertainty-Aware Multi-Robot Flocking via Learned State Estimation and Control Barrier Functions
Optimization-Based Path-Velocity Control for Time-Optimal Path Tracking under Uncertainties
SDF-guided Keyframe Selection: Novel Boost for NeRF SLAM Loop Closure
Trajectory Generation for Humanoid Backflips and Jumps Based on Whole-Body Dynamics Optimization with Consideration of KKT Residual Convergence
SPADE: Towards Scalable Path Planning Architecture on Actionable Multi-Domain 3D ScenE Graphs
Energy-Efficient Obstacle Avoidance via Iterative B-Spline Optimization for a Mobile Manipulator in Dynamic Environments
DGVO: A Dynamically Constrained Gradient Velocity Obstacle Approach for Mobile Robots in Dynamic Environments
Optimal Control of Walkers with Parallel Actuation
3D-MoRe: Unified Modal-Contextual Reasoning for Embodied Question Answering
Homotopy-aware Multi-agent Navigation via Distributed Model Predictive Control
Dynamic Walking Corridor Generation for Visually Impaired Navigation Using Social Force Models and Convex Optimization
A Novel Strategy for Connectivity Maintenance and Recovery in Heterogeneous Multi-Robot Systems
Efficient Navigation Among Movable Obstacles using a Mobile Manipulator via Hierarchical Policy Learning
GeoFlow-SLAM: A Robust Tightly-Coupled RGBD-Inertial and Legged Odometry Fusion SLAM for Dynamic Legged Robotics
Sampling-Based Path Planning for Tethered Robot Chains
SkyVLN: Vision-and-Language Navigation and NMPC Control for UAVs in Urban Environments
Local Path Optimization in The Latent Space Using Learned Distance Gradient
Safety Aware Task Planning via Large Language Models in Robotics
Collective Behavior Clone with Visual Attention via Neural Interaction Graph Prediction
Decremental Dynamics Planning for Robot Navigation
Integrating Opinion Dynamics into Safety Control for Decentralized Airplane Encounter Resolution
Autotuning Bipedal Locomotion MPC with GRFM-Net for Efficient Sim-to-Real Transfer
Multimodal Autonomous Robotic Long-Horizon Task Planning via Embodied Language Model and Behavior Trees
FOCI: Trajectory Optimization on Gaussian Splats
Navi2Gaze: Leveraging Foundation Models for Navigation and Target Gazing
Gravity Compensation with Dual Quaternions
Towards Safe Imitation Learning via Potential Field-Guided Flow Matching
VecNav: Vector Goal Robot Navigation from In-the-wild Videos
EmoRLTalk: Speech-Driven Emotional Facial Animation With Offline Reinforcement Learning
Transferring Kinesthetic Demonstrations across Diverse Objects for Manipulation Planning
Hybrid Data-Driven Predictive Control for Robust and Reactive Exoskeleton Locomotion Synthesis
Signal Temporal Logic Compliant Co-design of Planning and Control
EfficientEQA: An Efficient Approach to Open-Vocabulary Embodied Question Answering
iWalker: Imperative Visual Planning for Walking Humanoid Robot
GO-Flock: Goal-Oriented Flocking in 3D Unknown Environments with Depth Maps
EASEIR: Efficient and Adaptive Safe-set Estimation via Implicit Representation for High-dimensional Motion Planning
J-ORA: A Framework and Multimodal Dataset for Japanese Object Identification, Reference, Action Prediction in Robot Perception
Generating Actionable Robot Knowledge Bases by Combining 3D Scene Graphs with Robot Ontologies
FlowPlan: Zero-Shot Task Planning with LLM Flow Engineering for Robotic Instruction Following
Benchmarking Shortcutting Techniques for Multi-Robot-Arm Motion Planning
ZS-Puffin: Design, Modeling and Implementation of an Unmanned Aerial-Aquatic Vehicle with Amphibious Wings
SubCDM: Collective Decision-Making with a Swarm Subset
Multi-Sets Trees (MST*): Accelerated Asymptotically Optimal Motion Planning Optimization Informed by Multiple Domain Subsets
RRT*former: Environment-Aware Sampling-Based Motion Planning using Transformer
VLIN-RL: A Unified Vision-Language Interpreter and Reinforcement Learning Motion Planner Framework for Robot Dynamic Tasks
CIT*: Context-Based Biased Batch-Sampling for Almost-Surely Asymptotically Optimal Motion Planning
Collaborative Dynamic 3D Scene Graphs for Open-Vocabulary Urban Scene Understanding
Bio-inspired Shape Self-Assembly in Large-Scale Swarm Robots Under Information Asymmetry *
MALMM: Multi-Agent Large Language Models for Zero-Shot Robotic Manipulation
Human-Robot Collaborative SLAM-XR
Robust and Expressive Humanoid Motion Retargeting via Optimization-Based Rig Unification
SDA-LLM: Spatial DisAmbiguation via Multi-turn Vision-Language Dialogues for Robot Navigation
FEG-VON: Frontier Embedding Graph for Efficient Visual Object Navigation
Non-differentiable Reward Optimization for Diffusion-based Autonomous Motion Planning
VerifyLLM: LLM-Based Pre-Execution Task Plan Verification for Robots
AutoSpatial: Visual-Language Reasoning for Social Robot Navigation through Efficient Spatial Reasoning Learning
Self-Assembly Planning for Modular Robots via Multi-Agent Path Finding on Time-Expanded Networks
Safe and Efficient Navigation for Differential-Drive Robots in Dynamic Pedestrian Environments
Continuous-Time Gradient-Proportional-Integral Flow for Provably Convergent Motion Planning with Obstacle Avoidance
Vision-Language Guided Adaptive Robot Action Planning: Responding to Intermediate Results and Implicit Human Intentions
GraphSCENE: On-Demand Critical Scenario Generation for Autonomous Vehicles in Simulation
Social-LLaVA: Enhancing Social Robot Navigation through Human-Language Reasoning
Dual-Level Open-Vocabulary 3D Scene Representation for Instance-Aware Robot Navigation
Parallel Transmission Aware Co-Design: Enhancing Manipulator Performance Through Actuation-Space Optimization
An Online Terrain Classification Framework for Legged Robots Based on Fusion of Proprioceptive and Exteroceptive Sensors
Human-Robot Co-Transportation using Disturbance-Aware MPC with Pose Optimization
Space-Time Graphs of Convex Sets for Multi-Robot Motion Planning
A Parallel Fuzzy Nonlinear ADRC Framework for Robotic Machining with Vibrations
LPVIMO-SAM: Tightly-coupled LiDAR/Polarization Vision/Inertial/Magnetometer/Optical Flow Odometry via Smoothing and Mapping
PathCluster: Pedestrian Group-Adaptive Social Navigation in Dense Crowds
CAMSCKF: A Multi-State Constraint Kalman Filter with Adaptive Multivariate Noise Parameters Clustering and Estimation for Visual-Inertial Odometry
Safe and Efficient Target Singulation with Multi-Fingered Gripper using Collision-Free Push-Stack Synergy
Adaptive Step Duration for Accurate Foot Placement: Achieving Robust Bipedal Locomotion on Terrains with Restricted Footholds
Time-Optimal Path Parameterization with Viscous Friction and Jerk Constraints based on Reachability Analysis
iGaussian: Real-Time Camera Pose Estimation via Feed-Forward 3D Gaussian Splatting Inversion
DBaS-Log-MPPI: Efficient and Safe Trajectory Optimization via Barrier States
Reinforcement Learning-Based Microrobotic Swarm Navigation and Obstacle Avoidance in Partially Observable Environments
Embodied Instruction Following in Unknown Environments
Hierarchical Question-Answering for Driving Scene Understanding Using Vision-Language Models
NaviFormer: A Deep Reinforcement Learning Transformer-like Model to Holistically Solve the Navigation Problem
Exploring Spontaneous Social Interaction Swarm Robotics Powered by Large Language Models
MeGS-SLAM:Memory Efficient Gaussian Splatting SLAM with Graph Signal Processing
Understanding and Imitating Human-Robot Motion with Restricted Visual Fields
L3M+P: Lifelong Planning with Large Language Models
NOLO: Navigate Only Look Once
Large Language Model-Based Robot Task Planning from Voice Command Transcriptions
Enhancing Robustness in Language-Driven Robotics: A Modular Approach to Failure Reduction
CVLN-Think: Causal Inference with Counterfactual Style Adaptation for Continuous Vision-and-Language Navigation
Monocular Person Localization under Camera Ego-Motion
Efficient Swept Volume-Based Trajectory Generation for Arbitrary-Shaped Ground Robot Navigation
A Coarse-to-Fine Approach to Multi-Modality 3D Occupancy Grounding
ELPTNet: An Efficient LiDAR-based 3D Pedestrian Tracking Network for Autonomous Navigation Social Robots
FoldPath: End-to-End Object-Centric Motion Generation via Modulated Implicit Paths
Towards Efficient Image-goal Navigation: A Self-supervised Transformer-based Reinforcement Learning Approach
Robotic Task Ambiguity Resolution via Natural Language Interaction
Resource-Efficient Affordance Grounding with Complementary Depth and Semantic Prompts
STC-Tracker: Spatiotemporal-Consistent Multi-Robot Collaboration Framework for Long-Term Dynamic Object Tracking
SORT3D: Spatial Object-centric Reasoning Toolbox for Zero-Shot 3D Grounding Using Large Language Models
7
Collaborative carbon accounting: A data-driven framework for monitoring emissions across city, regional, and industrial scales
Environmental and cost trade-offs uncertainty in ecodesign: a new approach to communicate life cycle impacts
Evaluating and ranking of corporate carbon footprint calculation software: An integrated FCM-TODIM approach
Who drives sustainability in distance education? A novel multi-stakeholder analysis using factor analysis and fuzzy MACTOR
Sustainability evaluation of shared energy storage systems using the q-rung orthopair fuzzy linguistic multi-attribute method
A BIM-based functional condition assessment using improved Dempster-Shafer evidence theory for regeneration decision-making of existing neighborhoods
Assessment of sites for coal-to-nuclear transition in Poland
2
Forewarned Is Forearmed: The Single- and Dual-Brain Mechanisms in Detectors from Dyads of Varying Social Distance during Deceptive Outcome Evaluation
The Time Course of Phonological Encoding: Insights from Time-Resolved MVPA
1
Optimizing the Mass Transport and Atomic Fe Intrinsic Activity to Achieve High-Performing Fuel Cells
2
Inference of dependency knowledge graph for Electronic Health Records
Robust detection of watermarks for large language models under human edits
6
Evaluating large language models for accuracy incentivizes hallucinations
Language models transmit behavioural traits through hidden signals in data
An agentic system for rare disease diagnosis with traceable reasoning
Multimodal learning with next-token prediction for large multimodal models
Aligning machine and human visual representations across abstraction levels
Learning the natural history of human disease with generative transformers
25
Emergent and controllable behaviors of Janus swarmalator collectives
Proactive collaboration via autonomous interaction
Graph augmented transformers improve chemotherapy toxicity symptom extraction from clinical notes
Hyper-RAG: combating LLM hallucinations using hypergraph-driven retrieval-augmented generation
Machine learning-driven alignment architecture of heterogeneous data with transient varying semantics
Representation learning to advance multi-institutional studies with electronic health record data from US and France
Human analogical guidance amplifies LLM performance through cross-domain knowledge activation
TrialMatchAI: an end-to-end AI-powered clinical trial recommendation system to streamline patient-to-trial matching
Grounding large language models in clinical diagnostics
Text embedding models yield detailed conceptual knowledge maps derived from short multiple-choice quizzes
Revealing the intrinsic ethical vulnerability of aligned large language models
Accelerating hybrid XOR–CNF Boolean satisfiability problems natively with in-memory computing
The mosaic memory of large language models
Linguistic features of AI mis/disinformation and the detection limits of LLMs
Tunable colloidal swarmalators with hydrodynamic coupling
A large language model for clinical outcome adjudication from telephone follow-up interviews: a secondary analysis of a multicenter randomized clinical trial
Quantifying the reasoning abilities of LLMs on clinical cases
AgentMD: Empowering language agents for risk prediction with large-scale clinical tool learning
Adversarial prompt and fine-tuning attacks threaten medical large language models
InfEHR: Clinical phenotype resolution through deep geometric learning on electronic health records
A foundation model for human-AI collaboration in medical literature mining
A mechanical route for cooperative transport in autonomous robotic swarms
Evidence triangulator: using large language models to extract and synthesize causal evidence across study designs
A collective intelligence model for swarm robotics applications
Chemotactic navigation in robotic swimmers via reset-free hierarchical reinforcement learning
3
Shared sensitivity to data distribution during learning in humans and transformer networks
Multimodal large language models can make context-sensitive hate speech evaluations aligned with human judgement
A semantic embedding space based on large language models for modelling human beliefs
1
A large language model for complex cardiology care
2
Informational Memory Shapes Collective Behavior in Intelligent Swarms
Random Tree Model of Meaningful Memory
1
Acoustic Signaling Enables Collective Perception and Control in Active Matter Systems
10
Compositionality and systematicity emerge from iterated learning in deep linear networks
Expert evaluation of LLM world models: A high-Tc superconductivity case study
SR-LLM: An incremental symbolic regression framework driven by LLM-based retrieval-augmented generation
Uncovering inequalities in new knowledge learning by large language models across different languages
Evaluating large language models in biomedical data science challenges through a classroom experiment
Advancing stochastic 3-SAT solvers by dissipating oversatisfied constraints
Revealing emergent human-like conceptual representations from language prediction
Disentanglement of prosodic meaning: Toward a framework for the analysis of nonverbal information in speech
Echoes in AI: Quantifying lack of plot diversity in LLM outputs
Asymptotic theory of in-context learning by linear attention
1
Optimizing Large Language Models for Automated Protocoling of Abdominal and Pelvic CT Scans: The Power of Context.
6
Self-organized criticality in aquatic robot swarm
Physical embodiment enables information processing beyond explicit flow sensing in active matter
Understanding generative AI output with embedding models
Benchmarking retrieval-augmented large language models in biomedical NLP: Application, robustness, and self-awareness
Source framing triggers systematic bias in large language models
Reconfigurable robust microrobot collectives with large force output enabled by gradient magnetic fields
3
Sensor configuration optimization for source term estimation of time-varying emissions
A novel resilient agro-ecological system for sustainable urban-rural agricultural integration
A Strategic Sustainability Framework for Smart City Investment Prioritization
1
Causal-Informed Domain Adaptation with Cross-Attention for Predicting Anomalous Effluent Quality Fluctuations in Wastewater Treatment Plants

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