yusuke1997/dblp-id-title huggingface dataset:
Towards Efficient Speech-Text Jointly Decoding within One Speech Language Model
More Tokens, Lower Precision: Towards the Optimal Token-Precision Trade-off in KV Cache Compression
Theoretical Analysis of Compressive Sensing via Random Filter
GoViG: Goal-Conditioned Visual Navigation Instruction Generation
Decentralized Entropy-Driven Ransomware Detection Using Autonomous Neural Graph Embeddings
Lightweight Implementation of Per-packet Service Protection in eBPF/XDP
Solving a Mathematical Problem in Square War: a Go-like Board Game
Competitive Learning for Achieving Content-specific Filters in Video Coding for Machines
Scaling Large-Language-Model-based Multi-Agent Collaboration
Methods for pitch analysis in contemporary popular music: multiple pitches from harmonic tones in Vitalic's music
A Unified Framework for Simulating Strongly-Coupled Fluid-Robot Multiphysics
Sharing a conceptual model of grid resources and services
A Survey of Machine Learning Techniques for Improving Global Navigation Satellite Systems
GymFG: A Framework with a Gym Interface for FlightGear
MME-Survey: A Comprehensive Survey on Evaluation of Multimodal LLMs
Distributed Data Storage in Large-Scale Sensor Networks Based on LT Codes
Energy-Efficient Spiking Recurrent Neural Network for Gesture Recognition on Embedded GPUs
Accelerating Control Systems with GitOps: A Path to Automation and Reliability
Efficient RDMA Communication Protocols
Classical and quantum counter automata on promise problems
Physically Disentangled Representations
Mask-FPAN: Semi-Supervised Face Parsing in the Wild With De-Occlusion and UV GAN
Stochastic bridges of linear systems
Novel Concepts for Agent-Based Population Modelling and Simulation: Updates from GEPOC ABM
MIMO Beamforming in Millimeter-Wave Directional Wi-Fi
Compatible-Strain Mixed Finite Element Methods for 3D Compressible and Incompressible Nonlinear Elasticity
Robust a posteriori error analysis of the stochastic Cahn-Hilliard equation with rough noise
VAPU: System for Autonomous Legacy Code Modernization
Can You Follow Me? Testing Situational Understanding in ChatGPT
Finding the Second-Best Candidate under the Mallows Model
Manipulation Attacks by Misaligned AI: Risk Analysis and Safety Case Framework
AFABench: A Generic Framework for Benchmarking Active Feature Acquisition
Locally Differentially Private Distributed Deep Learning via Knowledge Distillation
Development of an Adaptive Sliding Mode Controller using Neural Networks for Trajectory Tracking of a Cylindrical Manipulator
Cross-Examiner: Evaluating Consistency of Large Language Model-Generated Explanations
Learning Tri-mode Grasping for Ambidextrous Robot Picking
Belief-selective Propagation Detection for MIMO Systems
Multi-Modality Cascaded Fusion Technology for Autonomous Driving
An Efficient Cell List Implementation for Monte Carlo Simulation on GPUs
The Unequal Opportunities of Large Language Models: Revealing Demographic Bias through Job Recommendations
RAKG:Document-level Retrieval Augmented Knowledge Graph Construction
Performance Analysis of Self-Interference Cancellation Methods in Full-Duplex Large-Scale MIMO Systems
clotFoam: An Open-Source Framework to Simulate Blood Clot Formation Under Flow
Potential Field as Scene Affordance for Behavior Change-Based Visual Risk Object Identification
Zoom is what you need: An empirical study of the power of zoom and spatial biases in image classification
Bonn Activity Maps: Dataset Description
Classifying cooking object's state using a tuned VGG convolutional neural network
Extracting Effective Subnetworks with Gumebel-Softmax
Nearly Optimal Minimax Tree Search?
LoLA-SpecViT: Local Attention SwiGLU Vision Transformer with LoRA for Hyperspectral Imaging
Discontinuous Galerkin Approach to Large Bending Deformation of a Bilayer Plate with Isometry Constraint
Face Morphing Attack Detection Using Privacy-Aware Training Data
Sum Degrees of Freedom of the $K$-user Interference Channel with Blind CSI
An Approach to Characterize Graded Entailment of Arguments through a Label-based Framework
A Flat-Combining-Based Persistent Stack for Non-Volatile Memory
Simultaneous Feature and Body-Part Learning for Real-Time Robot Awareness of Human Behaviors
MM-ACT: Learn from Multimodal Parallel Generation to Act
The Importance of Collective Privacy in Digital Sexual and Reproductive Health
When the Small-Loss Trick is Not Enough: Multi-Label Image Classification with Noisy Labels Applied to CCTV Sewer Inspections
Weak Concurrent Kleene Algebra with Application to Algebraic Verification
Solving Approximation Tasks with Greedy Deep Kernel Methods
Towards a Precipitation Bias Corrector against Noise and Maldistribution
Including STDP to eligibility propagation in multi-layer recurrent spiking neural networks
An End-to-End Deep Learning Framework for Arsenicosis Diagnosis Using Mobile-Captured Skin Images
Robust Localization with Visual-Inertial Odometry Constraints for Markerless Mobile AR
Towards a Unified Framework for Sequential Decision Making
Lagrangian Dynamic Mode Decomposition for Construction of Reduced-Order Models of Advection-Dominated Phenomena
Data-enabled Gradient Flow as Feedback Controller: Regulation of Linear Dynamical Systems to Minimizers of Unknown Functions
On The Complexity and Completeness of Static Constraints for Breaking Row and Column Symmetry
Generalizations of Boxworld
Non-locality of the meet levels of the Trotter-Weil Hierarchy
The main factors in student satisfaction with a campus environment: A mixed approach vs. a quantitative approach
WeMix: How to Better Utilize Data Augmentation
GVDepth: Zero-Shot Monocular Depth Estimation for Ground Vehicles based on Probabilistic Cue Fusion
Multiscale Graph Neural Network Autoencoders for Interpretable Scientific Machine Learning
Fine-tuned Sentiment Analysis of COVID-19 Vaccine-Related Social Media Data: Comparative Study
Assessing the impact of inertia and reactive power constraints in generation expansion planning
SPUS: A Lightweight and Parameter-Efficient Foundation Model for PDEs
On logical hierarchies within FO 2 -definable languages
Bounded Rationality in Concurrent Parity Games
Informative path planning for scalar dynamic reconstruction using coregionalized Gaussian processes and a spatiotemporal kernel
Computers Should Be Uniters Not Dividers: A Vision of Computer-Enhanced Happy Future
Improving Visual Question Answering Models through Robustness Analysis and In-Context Learning with a Chain of Basic Questions
Prioritising Interactive Flows in Data Center Networks With Central Control
Search Using N-gram Technique Based Statistical Analysis for Knowledge Extraction in Case Based Reasoning Systems
Developing the UML as a Formal Modelling Notation
Heterogeneous Update Processes Shape Information Cascades in Social Networks
Implementation of a Blind navigation method in outdoors/indoors areas
Fully Homomorphic Encryption via Affine Automorphisms
End-to-End Instance Segmentation and Counting with Recurrent Attention
Beyond standard benchmarks: Parameterizing performance evaluation in visual object tracking
A Greedy Approach to Answer Reachability Queries on DAGs
Satellite Sunroof: High-res Digital Surface Models and Roof Segmentation for Global Solar Mapping
Insights into the performance of loosely-coupled FSI schemes based on Robin boundary conditions
AI For Privacy in Smart Homes: Exploring How Leveraging AI-Powered Smart Devices Enhances Privacy Protection
Multi-Facets Contract for Modeling and Verifying Heterogeneous Systems
Dissecting the software-based measurement of CPU energy consumption: a comparative analysis
DCIS: Efficient Length Extrapolation of LLMs via Divide-and-Conquer Scaling Factor Search
Market Mechanisms with Non-Price-Taking Agents
Echoes of Automation: How Bots Shaped Political Discourse in Brazil
Data Augmentation for Enhancing EEG-based Emotion Recognition with Deep Generative Models
Toward Subject Invariant and Class Disentangled Representation in BCI via Cross-Domain Mutual Information Estimator
Truthful Spectrum Auction for Efficient Anti-Jamming in Cognitive Radio Networks
Amorphous Fortress: Observing Emergent Behavior in Multi-Agent FSMs
A Near Complete Nonasymptotic Generalization Theory For Multilayer Neural Networks: Beyond the Bias-Variance Tradeoff
Get It For Free: Radar Segmentation without Expert Labels and Its Application in Odometry and Localization
Efficient Inversion of Multiple-Scattering Model for Optical Diffraction Tomography
A Periodic Isoperimetric Problem Related to the Unique Games Conjecture
Efficiently Identifying Hotspots in a Spatially Varying Field with Multiple Robots
Relevance for Human Robot Collaboration
A Comparative Study on Annotation Quality of Crowdsourcing and LLM via Label Aggregation
Improving the Robustness of Federated Learning for Severely Imbalanced Datasets
Investigation of intelligent barbell squat coaching system based on computer vision and machine learning
Generalized Network Dismantling
Inductive biases, pretraining and fine-tuning jointly account for brain responses to speech
Impact of annotation modality on label quality and model performance in the automatic assessment of laughter in-the-wild
Semantics-Native Communication with Contextual Reasoning
A Novel Two Stream Decision Level Fusion of Vision and Inertial Sensors Data for Automatic Multimodal Human Activity Recognition System
Multi-level and Multi-modal Action Anticipation
Optimal subspace codes in PG(4, q)
Equitable Access to Justice: Logical LLMs Show Promise
Retrieval of Remote Sensing Images Using Colour and Texture Attribute
Solving QMLTP Problems by Translation to Higher-order Logic
A Benchmark Study on Machine Learning Methods for Fake News Detection
Post-Hoc Robustness Enhancement in Graph Neural Networks with Conditional Random Fields
Imitation from Observation With Bootstrapped Contrastive Learning
Label fusion and training methods for reliable representation of inter-rater uncertainty
ItôWave: Itô Stochastic Differential Equation Is All You Need For Wave Generation
On Packing Colorings of Distance Graphs
DeepCalliFont: Few-shot Chinese Calligraphy Font Synthesis by Integrating Dual-modality Generative Models
OSCAR-P and aMLLibrary: Profiling and Predicting the Performance of FaaS-based Applications in Computing Continua
Likelihood Ratio Based Scheduler for Secure Detection in Cyber Physical Systems
Flattened one-bit stochastic gradient descent: compressed distributed optimization with controlled variance
Optimal space-time codes for the MIMO amplify-and-forward cooperative channel
Realizing evaluation strategies by hierarchical graph rewriting
SkipVAR: Accelerating Visual Autoregressive Modeling via Adaptive Frequency-Aware Skipping
Version Control of Speaker Recognition Systems
A Structured Review of Underwater Object Detection Challenges and Solutions: From Traditional to Large Vision Language Models
Thermodynamically-Informed Iterative Neural Operators for Heterogeneous Elastic Localization
OmniSparse: Training-Aware Fine-Grained Sparse Attention for Long-Video MLLMs
Neural probabilistic motor primitives for humanoid control
Universal representations for financial transactional data: embracing local, global, and external contexts
Methodology and Analysis of Smart Contracts in Blockchain-Based International Trade Application
Compact Tetrahedralization-based Acceleration Structure for Ray Tracing
FedFTN: Personalized Federated Learning with Deep Feature Transformation Network for Multi-institutional Low-count PET Denoising
Comparative Analysis of Merge Trees using Local Tree Edit Distance
X-ray2CTPA: Generating 3D CTPA scans from 2D X-ray conditioning
Discrete-Time Models for Implicit Port-Hamiltonian Systems
Acoustic Room Compensation Using Local PCA-based Room Average PSD Estimation
FlexPipe: Adapting Dynamic LLM Serving Through Inflight Pipeline Refactoring in Fragmented Serverless Clusters
Information Lower Bounds for Robust Mean Estimation
RMF-Owl: A Collision-Tolerant Flying Robot for Autonomous Subterranean Exploration
Zero-Shot RTL Code Generation with Attention Sink Augmented Large Language Models
Introducing Spotlight: A Novel Approach for Generating Captivating Key Information from Documents
Thermal analysis of 3D associative processor
Hierarchical principles of embodied reinforcement learning: A review
Optimization of Test Case Generation using Genetic Algorithm (GA)
Visual Contexts Clarify Ambiguous Expressions: A Benchmark Dataset
TOM-SWE: User Mental Modeling For Software Engineering Agents
Graph Attention with Random Rewiring
Iterative Mask Filling: An Effective Text Augmentation Method Using Masked Language Modeling
Facial 3D Model Registration Under Occlusions With SensiblePoints-based Reinforced Hypothesis Refinement
Mamba-ND: Selective State Space Modeling for Multi-Dimensional Data
VisBias: Measuring Explicit and Implicit Social Biases in Vision Language Models
Area under the ROC Curve has the Most Consistent Evaluation for Binary Classification
Versatile, Robust, and Explosive Locomotion with Rigid and Articulated Compliant Quadrupeds
Conflict vs Causality in Event Structures
On complexity of mutlidistance graph recognition in R 1
Making Qwen3 Think in Korean with Reinforcement Learning
Causality and Interpretability for Electrical Distribution System faults
REX-RAG: Reasoning Exploration with Policy Correction in Retrieval-Augmented Generation
Bipedal Model Based on Human Gait Pattern Parameters Bipedal Model Based on Human Gait Pattern Parameters for Sagittal Plane Movement
Beyond the Monitor: Mixed Reality Visualization and AI for Enhanced Digital Pathology Workflow
Concise and Organized Perception Facilitates Large Language Models for Deductive Reasoning
Preparing data for pathological artificial intelligence with clinical-grade performance
Waveformer: Linear-Time Attention with Forward and Backward Wavelet Transform
AG codes on certain maximal curves
Accelerated Preference Optimization for Large Language Model Alignment
Stabilized finite elements for Tresca friction problem
Stochastic particle method with birth-death dynamics
Tensor Networks for Language Modeling
A high-level C++ approach to manage local errors, asynchrony and faults in an MPI application
Big Data Analytics and Artificial Intelligence in Next-Generation Wireless Networks
Rational Value of Information Estimation for Measurement Selection
TwitterCrowds: Techniques for Exploring Topic and Sentiment in Microblogging Data
CP-LLM: Context and Pixel Aware Large Language Model for Video Quality Assessment
The stray- and demagnetizing field from a homogeneously magnetized tetrahedron
Using super-resolution for enhancing visual perception and segmentation performance in veterinary cytology
The Race to Efficiency: A New Perspective on AI Scaling Laws
Incorporating Expressive Graphical Models in Variational Approximations: Chain-Graphs and Hidden Variables
Cascading Bandits Robust to Adversarial Corruptions
Learning Vision-Based Neural Network Controllers with Semi-Probabilistic Safety Guarantees
Fine-grained Background Representation for Weakly Supervised Semantic Segmentation
Vessel Length Estimation from Magnetic Wake Signature: A Physics-Informed Residual Neural Network Approach
Quantifier Elimination by Dependency Sequents
ChatCounselor: A Large Language Models for Mental Health Support
Fixed Point Computation: Beating Brute Force with Smoothed Analysis
Importance mixing: Improving sample reuse in evolutionary policy search methods
Timely Tracking of a Wiener Process With Single Bit Quantization
Achieving anonymity via weak lower bound constraints for k-median and k-means
Improve Language Modelling for Code Completion through Statement Level Language Model based on Statement Embedding Generated by BiLSTM
Sequential propagation of chaos
Building Energy Consumption Models Based On Smartphone User's Usage Patterns
Origins of power-law degree distribution in the heterogeneity of human activity in social networks
Read My Mind: A Multi-Modal Dataset for Human Belief Prediction
Interpretable Measurement of CNN Deep Feature Density using Copula and the Generalized Characteristic Function
APIGen-MT: Agentic Pipeline for Multi-Turn Data Generation via Simulated Agent-Human Interplay
Structure-Aware Dynamic Scheduler for Parallel Machine Learning
I Stolenly Swear That I Am Up to (No) Good: Design and Evaluation of Model Stealing Attacks
Randomized Iterative Reconstruction for Sparse View X-ray Computed Tomography
Adaptive optimal 𝓁 ∞ -induced robust stabilization of minimum phase SISO plant under bounded disturbance and coprime factor perturbations
Accessible and Portable LLM Inference by Compiling Computational Graphs into SQL
Automatic Feature Extraction for Heartbeat Anomaly Detection
On the Channel Correlation in Reconfigurable Intelligent Surface-Aided System
Demonstration Based Explainable AI for Learning from Demonstration Methods
Application of GPT Language Models for Innovation in Activities in University Teaching
Fixed Interfaces, Adaptive Interfaces... What is next? Total movability - a new paradigm for the user interface
A Generic Construction on Self-orthogonal Algebraic Geometric Codes and Its Applications
Expectation Learning for Adaptive Crossmodal Stimuli Association
Human-Centric Open-Future Task Discovery: Formulation, Benchmark, and Scalable Tree-Based Search
A Measure of Explanatory Effectiveness
Non-Orthogonal Time-Frequency Space Modulation
Studying and improving reasoning in humans and machines
Temporal Transformer Networks with Self-Supervision for Action Recognition
WebLLM: A High-Performance In-Browser LLM Inference Engine
DUSK: Do Not Unlearn Shared Knowledge
Multi-object Tracking with a Hierarchical Single-branch Network
A Stabilized Normal Form Algorithm for Generic Systems of Polynomial Equations
A Systematic Review on Prompt Engineering in Large Language Models for K-12 STEM Education
Secret Sharing for Cloud Data Security
Interpretable Clinical Classification with Kolgomorov-Arnold Networks
Social Group Query Based on Multi-fuzzy-constrained Strong Simulation
Document Rectification and Illumination Correction using a Patch-based CNN
Permuted NMF: A Simple Algorithm Intended to Minimize the Volume of the Score Matrix
VARD: Efficient and Dense Fine-Tuning for Diffusion Models with Value-based RL
"Against the Void": An Interview and Survey Study on How Rust Developers Use Unsafe Code
Assessing the Reliability of LLMs Annotations in the Context of Demographic Bias and Model Explanation
A Multi-Language Perspective on the Robustness of LLM Code Generation
Feature maps for the Laplacian kernel and its generalizations
Learning Grouped Lattice Vector Quantizers for Low-Bit LLM Compression
Self-supervised learning for audio-visual speaker diarization
On a New Method of Storing a Variable Size Array
Learning to Play Games in Extensive Form by Valuation
NVIDIA NeMo Neural Machine Translation Systems for English-German and English-Russian News and Biomedical Tasks at WMT21
Emotion-aware Dual Cross-Attentive Neural Network with Label Fusion for Stance Detection in Misinformative Social Media Content
Computational study of irrational rotations via exact discontinuity tracking
Generalizability of Machine Learning Models: Quantitative Evaluation of Three Methodological Pitfalls
Automated Machine Learning - a brief review at the end of the early years
Video prediction using score-based conditional density estimation
Better Handling Coreference Resolution in Aspect Level Sentiment Classification by Fine-Tuning Language Models
Interpretable Neural Networks for Panel Data Analysis in Economics
INT-FP-QSim: Mixed Precision and Formats For Large Language Models and Vision Transformers
Correlation and Spectral Density Functions in Mode-Stirred Reverberation - II. Spectral Moments, Sampling, Noise, EMI and Understirring
CRAFT: Continuous Reasoning and Agentic Feedback Tuning for Multimodal Text-to-Image Generation
Use of visual programming in the university education by means of free software
MonoForce: Learnable Image-conditioned Physics Engine
A posteriori error analysis for a distributed optimal control problem governed by the von Kármán equations
Optimal Routing and Link Configuration for Covert Heterogeneous Wireless Networks
Submodularity of Mutual Information for Multivariate Gaussian Sources with Additive Noise
DiPerF: an automated DIstributed PERformance testing Framework
Robust Cooperative Formation Control of Fixed-Wing Unmanned Aerial Vehicles
CLOVER: Constrained Learning with Orthonormal Vectors for Eliminating Redundancy
ASSED - A Framework for Identifying Physical Events through Adaptive Social Sensor Data Filtering
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges
The superiority of stochastic symplectic methods for a linear stochastic oscillator via large deviations principles
Encoder with the Empirical Mode Decomposition (EMD) to remove muscle artefacts from EEG signal
Data preprocessing methods for robust Fourier ptychographic microscopy
Stable-SPAM: How to Train in 4-Bit More Stably than 16-Bit Adam
Improving GNSS Positioning using Neural Network-based Corrections
Making Differential Privacy Work for Census Data Users
Time Dependent Contraction Hierarchies -- Basic Algorithmic Ideas
Non-Contact Health Monitoring During Daily Personal Care Routines
Navigating ultra-small worlds in ultra-short time
A Quality and Cost Approach for Comparison of Small-World Networks
Parameter-robust Preconditioners for the Stokes-Darcy Coupled Problem without Fractional Operators
Hierarchical Multi Agent DRL for Soft Handovers Between Edge Clouds in Open RAN
Image Classification by Sparse Representation-based Transduction
Effective de Rham Cohomology - The Hypersurface Case
Learning Topology of the Power Distribution Grid with and without Missing Data
Action Mapping for Reinforcement Learning in Continuous Environments with Constraints
Identification of splicing edges in tampered image based on Dichromatic Reflection Model
Prompting without Panic: Attribute-aware, Zero-shot, Test-Time Calibration
Multivariate Gaussian Representation Learning for Medical Action Evaluation
A Cookbook for Community-driven Data Collection of Impaired Speech in LowResource Languages
Parametric Stiffness Analysis of the Orthoglide
Learned Static Function Data Structures
Deep Convolutional Generative Adversarial Networks Based Flame Detection in Video
Learning to Complement with Multiple Humans (LECOMH): Integrating Multi-rater and Noisy-Label Learning into Human-AI Collaboration
WPTrack: A Wi-Fi and Pressure Insole Fusion System for Single Target Tracking
Multi-Draft Speculative Sampling: Canonical Architectures and Theoretical Limits
Investigating cybersecurity incidents using large language models in latest-generation wireless networks
Motion Detection in Diffraction Tomography by Common Circle Methods
Autonomous Orbit Determination via Kalman Filtering of Gravity Gradients
LitBench: A Benchmark and Dataset for Reliable Evaluation of Creative Writing
Anti-Inpainting: A Proactive Defense against Malicious Diffusion-based Inpainters under Unknown Conditions
Exergetic Port-Hamiltonian Systems: Navier-Stokes-Fourier Fluid
Graphical Transformation Models
A Survey of Machine Learning-based Physical-Layer Authentication in Wireless Communications
An Insight into the Pull Requests of GitHub
An adaptive Hermite spectral method for the Boltzmann equation
Understanding Stigmatizing Language Lexicons: A Comparative Analysis in Clinical Contexts
A Novel Cyber-Insurance for Internet Security
Nonlinear symbols combining for Power Amplifier-distorted OFDM signal reception
Is Shapley Value fair? Improving Client Selection for Mavericks in Federated Learning
A 3D-Shape Similarity-based Contrastive Approach to Molecular Representation Learning
On model selection and the disability of neural networks to decompose tasks
RANS-PINN based Simulation Surrogates for Predicting Turbulent Flows
OpenFActScore: Open-Source Atomic Evaluation of Factuality in Text Generation
A Matrix Ensemble Kalman Filter-based Multi-arm Neural Network to Adequately Approximate Deep Neural Networks
On Designing Effective RL Reward at Training Time for LLM Reasoning
Single-Source Regular Path Querying in Terms of Linear Algebra
Doppler-Division Multiplexing for MIMO OFDM Joint Sensing and Communications