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79 articles tagged with this entity.
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Object Search in Partially-Known Environments via LLM-informed Model-based Planning and Prompt Selection
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AI Chatbot Suicide Risk Detection and Response: Human Validation Study of the Open-Source VERA-MH Safety Evaluation
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HumanOmni-Speaker: Identifying Who said What and When
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LLM-Driven Neural Network Generation with Same-Family Architecture Guidance: Disentangling Transfer and Adaptation
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Agentic Artificial Intelligence for Multistage Physics Experiments at a Large-Scale User Facility Particle Accelerator
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Hyper-KGGen: A Skill-Driven Knowledge Extractor for High-Quality Knowledge Hypergraph Generation
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GMODiff: One-Step Gain Map Refinement with Diffusion Priors for HDR Reconstruction
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CorridorVLA: Explicit Spatial Constraints for Generative Action Heads via Sparse Anchors
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UniVideo: Unified Understanding, Generation, and Editing for Videos
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Split-n-Chain: Privacy-Preserving Multi-Node Split Learning with Blockchain-Based Auditability
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From "Strings" to "Things" for Personal Knowledge Graphs: Evaluating LLM Triple Extraction for Recommendation Systems
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Urban Deceleration Behavior Modes Under Scene Context: An Early-Kinematic Classifier from Argoverse 2 Multi-Agent Trajectories
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FeLoG: Scalable and Efficient Distributed Graph Embedding with Feedback Loop Mechanism
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Targeted Tests for LLM Reasoning: An Audit-Constrained Protocol
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A Controlled Counterexample to Strong Proxy-Based Explanations of OOD Performance: in a Fixed Pretraining-and-Probing Setup
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Bridging Neural Networks and Wireless Systems with MIMO-OFDM Semantic Communications
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High-Resolution Climate Projections Using Diffusion-Based Downscaling of a Lightweight Climate Emulator
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Can Fine-Tuning Erase Your Edits? On the Fragile Coexistence of Knowledge Editing and Adaptation
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Audio-Visual Continual Test-Time Adaptation without Forgetting
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Continual Learning for Sequential Personalization of Small Language Models: A Stability Monitoring Analysis
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Text as Illumination: Spatial Contrastive Retinex Learning for Language-guided Medical Image Segmentation
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When the Prompt Becomes Visual: Vision-Centric Jailbreak Attacks for Large Image Editing Models
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From Dispersion to Attraction: Spectral Dynamics of Hallucination Across Whisper Model Scales
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Optimizing Teacher-Student Partitioning for Scalable Knowledge Distillation on HPC Systems
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NASimJax: A GPU-Accelerated Policy Learning Framework for Penetration Testing
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Mitigating Hallucinations via Inter-Layer Consistency Aggregation in Large Vision-Language Models
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Learning State-Tracking from Code Using Linear RNNs
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FoReco and FoRecoML: A Unified Toolbox for Forecast Reconciliation in R
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Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos
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PERTINENCE: Input-based Opportunistic Neural Network Dynamic Execution
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Flexible Gravitational-Wave Parameter Estimation with Transformers
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Delving into Latent Spectral Biasing of Video VAEs for Superior Diffusability
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The 4/$\delta$ Bound: Designing Predictable LLM-Verifier Systems for Formal Method Guarantee
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TruncProof: A Guardrail for LLM-based JSON Generation under Token-Length Constraints
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2.5-D Decomposition for LLM-Based Spatial Construction
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An adaptive subsampling method for large-sample feature screening
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Removing Noise, not Finding Gold: Quality Filtering for Large-Scale Pretraining
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Decentralized SGD with Controlled Disagreement Finds Flatter Minima
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Generating adversarial inputs for a graph neural network model of AC power flow
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Dynamic Execution Commitment of Vision-Language-Action Models
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A Multi-Agent system for Multi-Objective constrained optimization
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SIGMA: Search-Augmented On-Demand Knowledge Integration for Agentic Mathematical Reasoning
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HeatKV: Head-tuned KV-cache Compression for Visual Autoregressive Modeling
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Investigating Faithfulness in Large Audio Language Models
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The Road to Artificial SuperIntelligence: A Comprehensive Survey of Superalignment
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MLLP-VRAIN UPV system for the IWSLT 2026 Simultaneous Speech Translation task
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SorryDB: Can AI Provers Complete Real-World Lean Theorems?
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Interpretation as Linear Transformation: A Cognitive-Geometric Model of Concepts and Meaning
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Improved Knowledge Distillation for Land-Use Image Classification
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Rescaling Confidence: What Scale Design Reveals About LLM Metacognition
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NanoQuant: Efficient Sub-1-Bit Quantization of Large Language Models
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Escaping the Cognitive Well: Efficient Competition Math with Off-the-Shelf Models
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Tangram: Unlocking Non-Uniform KV Cache Compression for Efficient Multi-turn LLM Serving
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Best Arm Identification with Minimal Regret
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SCAR: Semantic Continuity-Aware Retrieval for Efficient Context Expansion in RAG
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Phishing Email Detection Using Large Language Models
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Cluster LOCO: Feature Importance For Interpreting Clusters
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Fragile Knowledge, Robust Instruction-Following: The Width Pruning Dichotomy in Llama-3.2
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ARROW: Augmented Replay for RObust World models
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The KG-ER Conceptual Schema Language
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Standardized Methods and Recommendations for Green Federated Learning
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Scaling Self-Supervised Speech Models Uncovers Deep Linguistic Relationships: Evidence from the Pacific Cluster
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Spatio-Temporal Attention Graph Neural Network: Explaining Causalities With Attention
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Diagnosing Evidence Utilization in Long-Context and Retrieval-Augmented Language Models under Matched Evidence Conditions
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MemCast: Memory-Driven Time Series Forecasting with Experience-Conditioned Reasoning
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BRAIN: Bayesian Reasoning via Active Inference for Agentic and Embodied Intelligence in Mobile Networks
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Geometry-Aware Uncertainty Quantification via Conformal Prediction on Manifolds
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BlendServe: Optimizing Offline Inference for Auto-regressive Large Models with Resource-aware Batching
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Reflection in the Dark: Exposing and Escaping the Black Box in Reflective Prompt Optimization
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Contour Field based Elliptical Shape Prior for the Segment Anything Model
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GimmBO: Interactive Generative Image Model Merging via Bayesian Optimization
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Meeting SLOs, Slashing Hours: Automated Enterprise LLM Optimization with OptiKIT
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Language-based Trial and Error Falls Behind in the Era of Experience
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Chunking the Critic: A Transformer-based Soft Actor-Critic with N-Step Returns
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Exploring Flow-Lenia Universes with a Curiosity-driven AI Scientist: Discovering Diverse Ecosystem Dynamics
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LLM-Augmented Digital Twin for Policy Evaluation in Short-Video Platforms
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SEEK: Steering LLM Reasoning for RAG via Internal Reasoning Sketches
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Multi-objective optimization and quantum hybridization of equivariant deep learning interatomic potentials
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Learning to Execute Graph Algorithms Exactly with Graph Neural Networks