Papers
Sun 13 Sep 2026
241 papers
- Rethinking Streaming Video Diffusion Model: Context, Execution, and TrainingDiffusion models → Video generation
- The Imitation Game: When LLMs Learn to Reason Like Programs via Code-Centric Reasoning Data SynthesisLLM reasoning → Reasoning for agents, planning and code +1
- World-Action Models for Robot Learning and Control: A SurveyWorld models → Embodied and robot world models +1
- The Immutable Past: Formalizing State Mutability and Conflict Resolution in Mutable RAGRetrieval-augmented generation → Agentic RAG, agents and memory
- World Models for Cross-Machine CNC Transfer under Partial Sensor OverlapWorld models → Embodied and robot world models
- You Don't Need To Train: Agentic Heuristic Learning Studio for Executable Human Activity RecognitionLLM agents and tool use → Multimodal and embodied agents
- Towards Scalable RLVR: Multimodal Instruction Following Data Synthesis and DistillationSynthetic data and self-improvement for LLMs → Self-play RL for reasoning
- OmniHarness: Harnessing Generalizable Visual Generation via Symbolic Policy LearningMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- State of Thought Enables Endogenous ReasoningLLM reasoning → Test-time compute and efficient thinking
- Retrieval-Driven Memory Reconsolidation for Long-Term LLM AgentsLLM agents and tool use → Agent memory systems
- Self-Orchestrating Language Models: Leveraging Semantic Dependence for Efficient InferenceDiffusion models → Discrete and text diffusion
- El Agente Potente: High-Throughput Agentic Atomistic SimulationsLLM agents and tool use → Medical and scientific domain agents
- One Model, Two Physical Stories: Auditing Misalignment in Multi-Modal World ModelingWorld models → Latent predictive world models
- ANASSA: An Agentic AI Orchestration Framework for Spatial IntelligenceLLM agents and tool use → Multimodal and embodied agents
- Zero-shot video highlight detection based on text descriptions and synthetic imagesDiffusion models → Video generation
- The Stochastic Deputy: Structural Tenant Isolation for Tool-Using LLM AgentsLLM agents and tool use → Agent threats, guardrails and governance
- Func-R1: Incentivizing Mathematical Function Reasoning in Multimodal Large Language ModelsLLM reasoning → Multimodal reasoning +1
- Loop-Back Authority in LLM Agent Teams: A Paired Experiment on Flat and Hierarchical CoordinationLLM agents and tool use → General LLM agent frameworks and benchmarks
- TriCalRAG: A Three-Strategy, Retrieval-Augmented Benchmark for On-Premise LLM-Based Root Cause Analysis in AIOpsRetrieval-augmented generation → Privacy and security of RAG
- Fabrication After Tool Failure: Tool-Augmented Agents Assert Values Their Tools Did Not ReturnLLM agents and tool use → Tool learning and function calling
- Building Legal Reward Models for Grounding and AbstentionRetrieval-augmented generation → Legal and financial RAG +1
- CALICO: A Human-Centered, Codebook-Aligned System for AnnotationLLM alignment / RLHF / preference optimisation → LLM preference optimization methods
- CrossDistill: Balancing Quality and Diversity via Trajectory-Level Hybrid Few-Step DistillationDiffusion models → Diffusion foundations and sampling
- Detecting and Localizing Segment-Level Poisoning in Multi-Source LLM-Agent InputsLLM agents and tool use → Agent threats, guardrails and governance
- A Two-Dimensional Study of the Model Context Protocol: Publication and AdoptionLLM agents and tool use → Agent threats, guardrails and governance
- Carryover Drafting: Recycling Rejected States for Speculative DecodingEfficient LLM inference and serving → Speculative decoding
- An immune world model for multiscale forecasting and therapeutic hypothesis generationWorld models → Medical and surgical world models
- Lightning Weave: Improving the Accuracy-Efficiency Frontier of Reasoning Models through Capability CompositionLLM reasoning → Test-time compute and efficient thinking
- Perceive, Refine, Reason: A Calibrated Pipeline for Measuring Indicators in Strategic Visual Communication on Social MediaLLM reasoning → Multimodal reasoning
- ViTeGate: Visual-Textual Triggered Knowledge Poisoning for Vision-Language Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG
- Compositional SVG Generation via VLM-Driven Hierarchical Semantic ParsingLLM reasoning → Multimodal reasoning +1
- CIG-MIA: Context-Induced Information Gain Membership Inference Attacks against Retrieval-Augmented GenerationRetrieval-augmented generation → Privacy and security of RAG +1
- Optimizing Sparse Outcomes Through Dense Behavioral Signals via Value-Guided Preference DistillationLLM alignment / RLHF / preference optimisation → Reward modeling and RLHF
- BigMoMo: Efficient Inference of Large-Scale MoE with Speculative Decoding on Mobile DevicesMixture-of-experts → Efficient MoE training and inference systems +1
- Diffusion-Based Generation of Gait TrajectoriesDiffusion models → Video generation
- DynSTEER: Dynamic Stage-wise Trajectory Evaluation and Execution-time Review for AgentsLLM agents and tool use → General LLM agent frameworks and benchmarks
- Know When to Stop, Where to Restart: Accelerating Multi-Turn Agentic On-Policy DistillationLLM agents and tool use → Reinforcement learning for LLM agents
- LLM Agent Capabilities Should Follow Task Intent and Context SourceLLM agents and tool use → Agent threats, guardrails and governance
- Beyond Benchmark Scores: How Synthetic and Authentic Query Distributions Diverge in RAG EvaluationRetrieval-augmented generation → RAG pipeline design and evaluation
- AlgoRAG: Retrieval-Augmented Generation for Theoretical Computer Science Education -- A Comprehensive Evaluation Framework for Algorithm Analysis and Complexity TheoryRetrieval-augmented generation → Agentic RAG, agents and memory
- Disentangling Topology and Diversity in Multi-Agent LLMs for Multilingual Low-Resource Emotion DetectionLLM agents and tool use → Social simulation and multi-agent debate
- GLAM: Training a latent world model over global spatiotemporal memory for active exploration and navigationWorld models → World models for navigation
- NavPatch: Evidence-Guided Object-Level Costmap Correction with Vision-Language ModelsMultimodal LLMs / vision-language models → Embodied and 3D vision-language models
- Theseus in the Graph: Towards Traceable Multi-Hop Graph NavigationLLM reasoning → Knowledge- and tool-augmented reasoning
- Selective Tool Use for Agentic Change Visual Question Answering in Remote SensingLLM agents and tool use → Multimodal and embodied agents
- Physically Partitioned KVCache Format for CPU--GPU Load Balancing in MoE InferenceMixture-of-experts → Efficient MoE training and inference systems +1
- AlayaVista: Streaming World Modeling from Panoramic States to Perspective VideoWorld models → Video-generation world models and simulators
- A latent dimension of Condorcet's jury theorem for multiple AI advisersLLM reasoning → Test-time compute and efficient thinking
- Differentiable Digital Signal Processing Mixture Model-Guided Diffusion for Synthesis Parameter Estimation from Harmonic Sound MixturesDiffusion models → Audio, speech and music
- Safety Signals to Verify NetOps Agents with Action-Level GranularityLLM agents and tool use → Software engineering coding agents
- A Hybrid Dependency-Aware Framework for Task Decomposition and Dynamic Agent Generation in Oracle-to-PostgreSQL MigrationLLM agents and tool use → Web, search, and research agents
- Question's Gambit: The First Move Matters in Agentic Deep SearchLLM agents and tool use → Web, search, and research agents
- Dynamic Learning Solutions: A System for Personalized Educational Video GenerationRetrieval-augmented generation → Multimodal RAG
- MOSCOPT: Mixture-of-Skills Collective Optimization for LLM AgentsLLM agents and tool use → Agent skill learning and evolution
- Two-Stage Mixture-of-LoRA for Multi-Task Medical Vision-Language LearningMultimodal LLMs / vision-language models → Medical vision-language models
- Flattening Every Memory Peak in Long-Context Mixture-of-Experts TrainingMixture-of-experts → Efficient MoE training and inference systems
- E2A-Bench: Benchmarking Evidence-to-Action Reliability in Financial Chart ReasoningLLM reasoning → Reasoning for agents, planning and code
- AnnoSketch: Evaluating and Collecting Human Sketches for MLLM-assisted Chart AnnotationMultimodal LLMs / vision-language models → Chart understanding and anomaly detection
- Vision-Language Models for Criterion-Level Grading of Handwritten Examinations in Outcome-Based EducationMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- VGFM: Expressive Robot Policies via Dense Value Guidance in Flow MatchingDiffusion models → Diffusion and flow policies for robotics +1
- SPARK: Representation-Level KV Memory Alignment for Safer Vision-Language ModelsMultimodal LLMs / vision-language models → MLLM jailbreaks and adversarial robustness +1
- DenMark: Robust Semantic Watermarking for Diffusion Language ModelsDiffusion models → Robustness, privacy and adversarial aspects +1
- The Attribution-Compression Frontier in Retrieval-Augmented GenerationRetrieval-augmented generation → RAG robustness and adaptive retrieval
- CoArena: Evaluating Computer-Use and Multi-Agent Systems in Real TimeLLM agents and tool use → General LLM agent frameworks and benchmarks
- OpWeave: Flexible Operator Disaggregation for Heterogeneous LLM ServingMixture-of-experts → Efficient MoE training and inference systems +1
- Enhancing Human Mobility Prediction with Spatially Aware LLM-based Multi-Agent SystemsLLM reasoning → Spatial and embodied reasoning +1
- ECAS: An Edge-Controlled Agentic System for Validation-Gated Scientific Application ExecutionLLM agents and tool use → Software engineering coding agents
- Learning to Refer from Estimated Listener GazeMultimodal LLMs / vision-language models → VLM benchmarks and visual reasoning
- From Hand-Crafted to LLM-Based Variation Operators in Metaheuristics: A Tutorial
- Energy Vision--Language--Action: A Controlled Multimodal Benchmark for Intent-Conditioned Residential Energy Management
- SignTrace: Describe a Sign, Find the Word
- SlideLab: Audience-Centered Scientific Slide Generation and Evaluation
- Cartograph: Federated Tool Discovery with Operator-Attested Retrieval for AI Agents
- ORDER: A Fictitious-World Benchmark for Domain-Adaptive Embodied AI
- Complementary rPPG-Derived and Lip-Region Frequency Cues for Talking-Face Deepfake Detection
- Brain-to-Image Generation: Reconstructing Visual Stimuli from EEG using Generative Adversarial Networks
- Performance vs Consistency: Evaluating a Foundation Model in Lung-RADS Screening
- Making Political Text Scaling Comparable: Infrastructure and Hyperparameter Sensitivity for 17 Algorithms
- Decentralized Optimal Equilibrium Learning Over Dynamic Networks
- Structure is not mechanism: high-gain gated-FFN rows across text and genomic foundation models
- Pseudo-Label Augmentation for Affect Sensing in Small Collaborative Groups
- AssemblyGrid v1: A Benchmark for Multi-Robot Production with Temporary Coalitions, Local Information, and Geometric Constraints
- Efficient Multimodal Generative Recommendation with Latent Narrative Reasoning
- Beyond Distribution Matching: Semantics-Consistent Tabular Diffusion with Weak Semantic Priors
- A Dynamic Aggregation Strategy Enhanced Efficient Global Optimization Algorithm for Solving High-Dimensional Turbomachinery Design Problems
- A panoramic aerodynamic performance prediction method for turbomachinery cascades using transformer-enhanced neural operator
- Signed p-adic Residual Encodings of Finite-Domain All-Different Systems with a Sudoku Case Study
- Digital Persuasion: Understanding the Impact of Online Influencers on Public Opinion
- POSPAN: Position-Constrained Span Masking for Language Model Pre-training
- HintMiner: Automatic Question Hints Mining From Q&A Web Posts with Language Model via Self-Supervised Learning
- Driver Behavior Estimation at Signalized Intersections Using a Physics-Constrained Decision-Conditioned Autoregressive Transformer
- Managing Action Preconditions in Neuro-Symbolic RL: Three Placement Strategies for Embodied Agents
- Causal neural set filtering for online multi-target tracking
- "Looking for Something Weird to Happen": How Humans Sustain AI Agent Novelty Amid Semantic Collapse
- LLMs as Oracles: Reliance on LLMs for Subjective Personal Questions
- Prescreening Point Defects in Semiconductors With Machine Learning
- A Responsive Present, a Shared Past, a Social Other: Teens' Overreliance on Companion AI Chatbots
- Tackling Failure Modes of PINNs and PIKANs Using Conflict-Free Gradients
- Efficiency Hallucination: Formalizing and Measuring Behavioral Calibration in LLM-Based Code Optimization
- Enemray: Toward Capable Language Models for Hassaniya
All 241
- Route, Don't Fix: Regime-Dependent Decoding Correction and a Trajectory-Gated Router for Reliable Clinical LLM Answer Selection
- MedTRACE: Tool-Augmented Multimodal Clinical Reasoning Agents for Evidence-Grounded Decision-Making
- Decision-Oriented Uncertainty Quantification for Risk Control in Earth System Spatiotemporal Foundation Models
- POLARIS: Training-Free Audio Fingerprinting with Saliency-Based Landmarks and Delaunay Grouping
- A primer on evaluation methods for large language models in healthcare
- Tone on a Budget: A Reference-Free Metric for Lexical Tone in Massively Multilingual Text-to-Speech
- A Functional SVD Framework for Regularized Multivariate Functional PCA with Dual Penalization
- Crypto Accounting Bench: Evaluating Frontier and Open-Weight Models on Crypto-Asset Accounting Tasks
- Another Blueprint In The Wall: How to Ask Frontier AI Like a Kid?
- From matrix inversion to constraints: provably tighter confidence regions for importance weights in label shift
- AI Persuasion as a Threat to Human Control
- Mind Which Bird You Favour: Parameterizing Adequacy-Fluency Balance in Meta-Evaluation of Machine Translation
- Language-Guided Representation Learning for Robust Cross-Sensor Material Recognition
- Privacy Preserving Gossip Learning
- Pull: Lazy Materialization of Working Memory for Stateful LLM Conversations
- How broad is that claim? Mapping Generalisation in NLP Research
- A Personalized Dynamic Balance Evaluation Paradigm for Hip Exoskeleton-Assisted Walking under Unexpected Ground Perturbations
- CCMAN: Cognitive Instability-Aware Cross-Modal Attention Network for Interpretable Temporal Biomarkers of Verbal Fluency Speech
- From Visual Feedback to Textual Reviews: A Multi-Agent Vision-Language Framework for Image-Grounded Review Assistance
- Refusal Reads Only a Slice of What the Model Knows: Harm-Keyed Routing and Its Exceptions Across Model Families
- Calibrating Interpretability Instruments Before Trusting Their Verdicts
- Runtime Authorization for Resources Acquired by AI Agents
- Quantifying the Generation Modality Gap in Speech-Text Language Models
- A property-registry contract for retrieve-or-refuse thermal-mechanical lattice search
- AppliedScientist: Automated Scientific Revision Through Iterative AI Reviewing
- HELENA for 5G NR LEO NTN Channel Estimation: A Comparative Evaluation
- OCT-FedSIR: Toward Trustworthy Federated Ophthalmic Learning under Annotation Noise
- WaVeFuse: Regime-Adaptive Equity Index Forecasting via Channel-Wise Wavelet Denoising and Vertical Attention Fusion
- Parameter isolation with domain-specific experts for incremental audio classification
- Bayesian Intelligence from the Outside
- PC2-AD: Point Cloud Upsampling to Safeguard 3D Anomaly Detection with Resolution-constrained Edge Devices
- Are Gradient Boosting Models Suitable for Intermittent Demand Forecasting?
- Moral Rebel Agents: Decision-Making Under Conflicting Obligations
- Depth and Scale in the Sub-150M Regime: JugnuLM-53M vs JugnuLM-110M
- Learning Metastable Dynamics
- GRPO-QPS: Target-Preserving Reinforcement Learning for Quantum Posterior Sampling
- WaterKron and FlipFlop Hessian: Information-Theoretically Grounded Quantization with Kronecker-factored Hessians
- Patient-Level, Leakage-Aware Deep Learning for Cross-Center Periapical Radiograph Classification
- Speak to the City: Multimodal Resolution for Outside-the-Vehicle References
- LIMODENet: Attention-Free Compact Encoders for Information-Preserving Onboard Satellite Image Restoration
- One Feedback System Does Not Fit All: Localising Data-to-Text Driver Coaching for the United Kingdom and Nigeria
- The Garden of Forking Prompts: How Users Explore Narrative Space in Story Generation
- From Density to Biopsy Decisions and Malignancy Prediction: A Benchmark Study of Multimodal Large Language Models Against Radiologists in Digital and Contrast-Enhanced Mammography
- PU classification under Non-SCAR: clustering-assisted logistic model with oversampling enhancement
- Floquet Fibre Geometry and Higher-Order Reduced Coordinates for Off-Manifold Transients near Nonlinear Aeroelastic Flutter
- Exploring Multimodal Turn-Taking Cues in Face-to-Face Conversation using Voice Activity Projection
- Symmetries and Singularities
- MANE: A Multi-Path Adaptive Network for Edge Onloading of Deep Neural Networks
- Evaluating Contextual Bias in CNN Image Classification: Evidence from Agricultural Benchmark Datasets
- Natural Language Knowledge Graph Query Execution: Leveraging Controlled Semantics in the LLM Context Window
- Skill Composition for Legged Robot Reinforcement Learning
- CompCQR: Compositional Query Generation for Training-Free Conversational Search
- Investigating the Impacts of Generative AI on Information Seeking
- SCOUT-SLAM: Structurally-Coupled Dual Uncertainty-Aware 3DGS SLAM in the Wild
- TTDF: A Two-Stage Framework for Reliable Surgical Phase Transition Detection
- ESAFusion: LiDAR--4-D Radar Fusion via Local Geometric Complementation and Multiscale Adaptive Interaction for 3-D Object Detection
- Channel-Adaptive Region Adjacency Graph Carriers for Semantic Image Communication
- Open-UniMo: Towards Unified Motion-Language Understanding and Generation in the Open World
- SH-WRNN: Implicit Spherical Harmonics Weight Field Routing Neural Networks for Asymmetric Edge Intelligence
- A note on goal-based hierarchical RL
- Direct Conditional Transition Sampling for Diffusion Inverse Problems
- Diagnosing Temporal Misalignment in Multichannel Time-Series Classification with Minimum Description Length
- SENTINEL: A Multi-Pathway Architecture for Detecting Living-Off-the-Land APT Attacks on Windows Command Lines
- AI Deployment Accountability Engineering: A Vision for Accountable AI in Safety-Critical Socio-Technical Systems
- Pathwise Individual Rationality in Federated Learning: A Mechanism-Architecture Co-Design
- Reverse Spatio-Temporal Disease Progression Modelling
- A Building as a Repository: KIR, a Typed Intermediate Representation for Agent-Authored Building Information Models
- Domain-specific Pretraining Profile and Transformer Performance: Evidence from Modeling Digital Pragmatics in Arabic-English Code-switching
- Evaluation of optimisation and Bayesian inference methods for reaction rates in atmospheric chemical mechanisms
- Learning Multi-Agent Task Assignment and Navigation in the Factory: from Simulation to Real Robots
- TATK: Triple-Aware Top-K Learning with Knowledge-Grounded Verification for LLM-based Sequential Recommendation
- Small Object Detection in Drone Aerial Imagery with LAF-YOLOv10
- Selecting k Paths with the Minimum Longest Path Length in the Stochastic Semi-Bandit Setting
- Neyshekar: An Open Persian Read-Speech Corpus for Automatic Speech Recognition
- GNN4PPM: Multi-Target Predictive Process Monitoring with Relational Graph Convolutional Networks
- Proving olympiad geometry theorems on a superconducting quantum processor
- Multi-source conformal prediction: leveraging heterogeneity via localization
- Sharing standardized image-derived data in computational pathology using DICOM
- Parameter-Efficient Quantum NLP for Paraphrase Detection: Performance, Robustness, and Entanglement
- CGGT: Curve-Grounded Geometry Transformer for 3D Parametric Curve Reconstruction
- Toward a Layer-2 Trigger for AI/ML Lifecycle Management in 6G
- OptoAgent: A Trustworthy Multi-Agent Framework for Opportunistic Vision Micro-Screening in Classroom Environments
- Beyond Scene Description: Multi-Agent Orchestration for Non-visual Access to Virtual Worlds
- Should All Noises Be Treated Equally: Impact of Input Noise Variability on Neural Network Robustness
- When does a scaling result justify a different allocation? A critical review of resource-allocation evidence for AI systems
- EdgeHAR: An Edge-Native Compact Sensor Foundation Model for Human Activity Recognition
- MCIQA-2K: A Multi-Dimensional Dataset and No-Reference Quality Assessment Benchmark for Colorized Images
- Retrieval-Guided Fine-Tuning as Noisy Estimation: Risk bounds and Architectural Analysis
- PuzzleMate: Benchmarking MLLMs for Egocentric Puzzle Assistance
- PRI-Net: A Lightweight Multimodal Framework for 3D UAV Localization
- Bridging the Modality Gap in Long-Form Clinical Audio: A Comparative Study of Lightweight and Heavyweight End-to-End SOAP Generation
- DynEoMT: Learning Object Dynamicity from Online Segmentation Queries
- Follow the Geometry, Not the Model: Cold Start Semi-Supervised Learning
- Towards Identifying the Dataset Biases Causing Phantom Transfer
- NeuroActiSep: Detecting Factual Hallucinations from Feed-Forward Neurons in a Single Pass
- From Visual Attribution to Clinical Reasoning: Explainable Parkinson's Disease Screening from Hand-Drawn Patterns
- Context-Aware Mutual Learning for Blind Image Inpainting and Beyond
- Lightweight Generalized DeepFake Face Detection with WAVIE: Wavelet Augmented Vision Intermediate Embeddings
- Has Scientific Talent Shifted from Depth to Breadth?Evidence across Papers, Knowledge Inputs, Careers, and Teams
- Certification cost of quantum models: measurement correlation, not parameter count
- A Generative AI Integrated Multimodal Framework for Low-Latency Multi-Camera Person Re-Identification
- Surrogate-Assisted Genetic Programming with Phenotypic Characterisation in Dynamic Multi-Mode Project Scheduling
- Neural Modal Decomposition: Architectural Priors from Observables
- Policy Loopholes in Agent Evaluation: When Policy Ambiguity Masquerades as Agent Error
- Newton Deep Unfolding for Compressed Sensing
- Formal Properties of Language as Constraints on Neural Dynamics
- Contour-Guided Spectral Routing for Robust Real-Time Pedestrian Detection
- Rethinking Camouflage Image Generation towards a Training-Free Paradigm
- LLaTSA: Large Language Model-Aligned General-Purpose Transient Stability Analysis
- Robust small-molecule identification from incomplete, degraded, and inconsistent spectra using multimodal mixed-condition training
- Beyond Natural Images: Rethinking AI-Generated Image Detection in Documents
- 4DMulti: automated multicomponent identification at complex material interfaces
- Mobile CT Services for Rural, Regional, and Remote Areas: Current Practice and Future Integration with Telehealth and Regulatory-Authorised AI
- AURA: Unified Multimodal Framework for Conversational Music Editing
- Communication-Efficient LLM Adaptation over Decentralized GPU Meshes
- Nonparametric Variance-Penalized Actor-Critic: Statistical Inference for Risk-Sensitive Reinforcement Learning
- AI Assisted Workflow Optimization and Automation
- SpectralShift: Effective Context Window Extension of Gated DeltaNet via Spectral Reparameterization
- Learning Continuous Source Responses For Generalizable AI-Generated Image Detection
- S3-Tracker: Self-Supervised Surgical Tissue Tracking With Contrastive Random Walks
- DTI-Guided Volumetric Spherical Harmonics Regression for Single-to-Multi-Shell dMRI Synthesis
- Robust low-rank tensor completion via factorized weighted tensor schatten-p norm minimization
- Learning Source Acquisition Policies by Offline Planning
- Fusing Spectral Signatures and Activation Clustering for Backdoor Detection in Healthcare Imaging Models: Method, Implementation, and Evaluation
- Editorial routing shapes how computational results are qualified in AI-assisted scientific writing
- Biquaternionic Space with Complex-valued Attention for Temporal Knowledge Graph Completion
- SpermYOLO: A Coordinated YOLO-Based Detector for Accurate and Efficient Sperm and Impurity Detection in Microscopic Images
- Parameter Estimation of Ringdown Quasinormal Modes with Autoencoder
- Sparsity-Adaptive Sharpness-Aware Minimization
- Bayesian optimization with kernel ensembles and disagreement-based acquisition for source localization and acoustic inversion
- Document Topic Alignment Metrics for Evaluating Topic Models of Short-Text Public Health Communications on Social Media
- Towards Anticipatory Databases Through Shared Data and Workload Semantics
- ATTRICITE: Training an Open 4B Model for Citation Recovery toward Faithful Attribution
- What Input Resolution Is Required for Bird Species Identification, and What Is Its Latency Cost on an Edge Device? A Study of 14 Input Resolutions and Six Architectures with On-Device Measurements
- Joint Optimization for Federated Learning and Transmission over Unreliable Wireless Networks with Heterogeneous Data
- Assessing the Applicability of Existing Design Recommendations to AI Companion Design: A Multi-Method Study
- Graph-Transformer Fraud Detection with Self-Supervised Pretraining and Conformal Risk Control
- Modeling, Scaling, and Decoding: Optimizing Controllable Speech Generation with Nonverbal Vocalizations
- Corpus Characterization and Inverse Constitutional Fine-Tuning for Style-Aware Radiology Reports
- Task-Specified Active Metrological Inspection with Measurement-Steered VLA Manipulation and Deterministic Evidence Gating
- Partition-Aware Scheduling for Mobile Heterogeneous Inference Co-Execution