yusuke1997/dblp-id-title huggingface dataset:
The VLLM Safety Paradox: Dual Ease in Jailbreak Attack and Defense
Bilevel Optimization, Deep Learning and Fractional Laplacian Regularization with Applications in Tomography
PLUM: Adapting Pre-trained Language Models for Industrial-scale Generative Recommendations
Network Embedding for Cross-network Node Classification
Inter-tier Interference Suppression in Heterogeneous Cloud Radio Access Networks
Optimizing Human Learning
Semi-Supervised Multi-Organ Segmentation through Quality Assurance Supervision
An Empirical Study on the Robustness of YOLO Models for Underwater Object Detection
A Numerical Study of Chaotic Dynamics of K-S Equation with FNOs
Identifying Influential Nodes Using Overlapping Modularity Vitality
Sparse multiresolution representations with adaptive kernels
Self-Similarity Based Time Warping
A Minimum-propellant Pontryagin-based Nonlinear MPC for Spacecraft Rendezvous in Lunar Orbit: the Extended Version
Channel Modeling between Seaborne MIMO Radar and MIMO Cellular System
QCRMut: Quantum Circuit Random Mutant generator tool
Geometric Dynamics of Signal Propagation Predict Trainability of Transformers
Recognition Complexity of Subgraphs of 2- and 3-Connected Planar Cubic Graphs
Towards Neural Network based Cognitive Models of Dynamic Decision-Making by Humans
Going Beyond Pollution Attacks: Forcing Byzantine Clients to Code Correctly
A note on hardness of promise hypergraph colouring
3D Axial-Attention for Lung Nodule Classification
ORCNet: A context-based network to simultaneously segment the ocular region components
How Training Data Impacts Performance in Learning-based Control
Applying Stochastic Network Calculus to 802.11 Backlog and Delay Analysis
Optimization-based parametric model order reduction via H 2 ⊗L 2 first-order necessary conditions
Language Models and Logic Programs for Trustworthy Financial Reasoning
SafeMLRM: Demystifying Safety in Multi-modal Large Reasoning Models
Loop Invariant Generation: A Hybrid Framework of Reasoning optimised LLMs and SMT Solvers
Fast and Furious: A study on Monotonicity and Speed in Cops-and-Robber Games
Multi-scale and Multi-path Cascaded Convolutional Network for Semantic Segmentation of Colorectal Polyps
Visualizing Marden's theorem with Scilab
Image segmentation with traveling waves in an exactly solvable recurrent neural network
PMLB: A Large Benchmark Suite for Machine Learning Evaluation and Comparison
Convergence Dynamics and Stabilization Strategies of Co-Evolving Generative Models
FORQ-based Language Inclusion Formal Testing
How often are errors in natural language reasoning due to paraphrastic variability?
Analyzing Epistemic and Aleatoric Uncertainty for Drusen Segmentation in Optical Coherence Tomography Images
Captioning for Text-Video Retrieval via Dual-Group Direct Preference Optimization
Fragility of Layout-Based and Visual GUI Test Scripts: An Assessment Study on a Hybrid Mobile Application
Physics-Informed Distillation of Diffusion Models for PDE-Constrained Generation
Enhancing Lung Cancer Treatment Outcome Prediction through Semantic Feature Engineering Using Large Language Models
ADA-DPM: A Neural Descriptors-based Adaptive Noise Point Filtering Strategy for SLAM
Dimension-free Regret for Learning Asymmetric Linear Dynamical Systems
Sustainable Grid through Distributed Data Centers: Spinning AI Demand for Grid Stabilization and Optimization
The AVA-Kinetics Localized Human Actions Video Dataset
Comparison Between Algebraic and Matrix-free Geometric Multigrid for a Stokes Problem on Adaptive Meshes with Variable Viscosity
Novelty and Coverage in context-based information filtering
An IR-based Approach Towards Automated Integration of Geo-spatial Datasets in Map-based Software Systems
Efficient algorithm for computing large scale systems of differential algebraic equations
Helping News Editors Write Better Headlines: A Recommender to Improve the Keyword Contents & Shareability of News Headlines
deep learning of segment-level feature representation for speech emotion recognition in conversations
Latent Factor Modeling of Users Subjective Perception for Stereoscopic 3D Video Recommendation
ROS2swarm - A ROS 2 Package for Swarm Robot Behaviors
Panoptic SegFormer
Revisiting MLLM Token Technology through the Lens of Classical Visual Coding
A Paradigm Shift: Detecting Human Rights Violations Through Web Images
Calipso: Physics-based Image and Video Editing through CAD Model Proxies
A Sphere Decoding Algorithm for Multistep Sequential Model Predictive Control
Revisit Multinomial Logistic Regression in Deep Learning: Data Dependent Model Initialization for Image Recognition
The Silent Curriculum: How Does LLM Monoculture Shape Educational Content and Its Accessibility?
Learning better representations for crowded pedestrians in offboard LiDAR-camera 3D tracking-by-detection
A robust multi-domain network for short-scanning amyloid PET reconstruction
KmerCo: A lightweight K-mer counting technique with a tiny memory footprint
Online Budgeted Learning for Classifier Induction
SAH: Shifting-aware Asymmetric Hashing for Reverse k-Maximum Inner Product Search
Path Dependent Structural Equation Models
A robust single-pixel particle image velocimetry based on fully convolutional networks with cross-correlation embedded
Applying convolutional neural networks to extremely sparse image datasets using an image subdivision approach
The poker-chip experiments of synthetic elastomers
Adaptive Human-Computer Interaction Strategies Through Reinforcement Learning in Complex
Thermal and Visual Tracking of Photovoltaic Plants for Autonomous UAV inspection
Sorting from Crowdsourced Comparisons using Expert Verifications
Optimisation of Resource Allocation in Heterogeneous Wireless Networks Using Deep Reinforcement Learning
Zielonka's Recursive Algorithm: dull, weak and solitaire games and tighter bounds
A Distributed Hybrid Hardware-In-the-Loop Simulation framework for Infrastructure Enabled Autonomy
Sturmian and infinitely desubstitutable words accepted by an ω-automaton
A Fully Discrete Surface Finite Element Method for the Navier-Stokes equations on Evolving Surfaces with prescribed Normal Velocity
Differentiable Discrete Event Simulation for Queuing Network Control
Hierarchical coded elastic computing
NATURAL PLAN: Benchmarking LLMs on Natural Language Planning
Experiments on Parallel Training of Deep Neural Network using Model Averaging
Multi-Focus Image Fusion Based on Spatial Frequency(SF) and Consistency Verification(CV) in DCT Domain
Active spline model: A shape based model-interactive segmentation
FlagEvalMM: A Flexible Framework for Comprehensive Multimodal Model Evaluation
Subadditivity of Matrix phi-Entropy and Concentration of Random Matrices
Generating dynamic contact graphs with indirect links
Measles Rash Image Detection Using Deep Convolutional Neural Network
Multi-Antenna Wireless Powered Communication with Energy Beamforming
"Even GPT Can Reject Me": Conceptualizing Abrupt Refusal Secondary Harm (ARSH) and Reimagining Psychological AI Safety with Compassionate Completion Standard (CCS)
Implicit automata in {\lambda}-calculi III: affine planar string-to-string functions
Modelling a CubeSat-based Space Mission and its Operation
The Importance of Song Context and Song Order in Automated Music Playlist Generation
Feasibility of 5G mm-wave communication for connected autonomous vehicles
In defence of metric learning for speaker recognition
Lynx: Enabling Efficient MoE Inference through Dynamic Batch-Aware Expert Selection
Policy Gradient Reinforcement Learning for Policy Represented by Fuzzy Rules: Application to Simulations of Speed Control of an Automobile
Counting with Confidence: Accurate Pest Monitoring in Water Traps
Predicting Early Dropout: Calibration and Algorithmic Fairness Considerations
A simple formalization of alpha-equivalence
Prototype2Code: End-to-end Front-end Code Generation from UI Design Prototypes
A near-linear time minimum Steiner cut algorithm for planar graphs
DeepLogo: Hitting Logo Recognition with the Deep Neural Network Hammer
Alphabet Sizes of Auxiliary Variables in Canonical Inner Bounds
Weak bisimulation for coalgebras over order enriched monads
Neural Text Sanitization with Privacy Risk Indicators: An Empirical Analysis
Learning in games from a stochastic approximation viewpoint
New Intelligent Transmission Concept for Hybrid Mobile Robot Speed Control
An Overview on Machine Learning Methods for Partial Differential Equations: from Physics Informed Neural Networks to Deep Operator Learning
Circularly compatible ones, D-circularity, and proper circular-arc bigraphs
A Study about the Knowledge and Use of Requirements Engineering Standards in Industry
Fixed points of monotonic and (weakly) scalable neural networks
The Hybrid Multimodal Graph Index (HMGI): A Comprehensive Framework for Integrated Relational and Vector Search
Vision: A Deep Learning Approach to provide walking assistance to the visually impaired
On Updating and Querying Submatrices
Contrastive Learning of Semantic and Visual Representations for Text Tracking
Building and Measuring Privacy-Preserving Predictive Blacklists
Learning Dependencies in Distributed Cloud Applications to Identify and Localize Anomalies
Evaluating and Mitigating Discrimination in Language Model Decisions
Comparative Security Performance of Workday Cloud ERP Across Key Dimensions
Covariance Estimators for the ROOT-SGD Algorithm in Online Learning
Any Variational Autoencoder Can Do Arbitrary Conditioning
A 3D Coarse-to-Fine Framework for Automatic Pancreas Segmentation
Computer-Aided Personalized Education
Delay-Tolerant Augmented-Consensus-based Distributed Directed Optimization
Offline Supervised Learning V.S. Online Direct Policy Optimization: A Comparative Study and A Unified Training Paradigm for Neural Network-Based Optimal Feedback Control
string2string: A Modern Python Library for String-to-String Algorithms
A customizable inexact subgraph matching algorithm for attributed graphs
Simple Algorithms for Scheduling Monotonic Moldable Tasks
Occam's Ghost
Single-Carrier Delay-Doppler Domain Equalization
Language models in molecular discovery
Greedy randomized sampling nonlinear Kaczmarz methods
A Regularization Operator for the Source Approximation of a Transport Equation
Solution for Large-Scale Hierarchical Object Detection Datasets with Incomplete Annotation and Data Imbalance
Mull-Tokens: Modality-Agnostic Latent Thinking
Metalearning with Hebbian Fast Weights
An Efficient and Secure Routing Protocol for Mobile Ad-Hoc Networks
Practical Strategies for Integrating a Conversation Analyst in an Iterative Design Process
Converting Epics/Stories into Pseudocode using Transformers
On the Cone Effect in the Learning Dynamics
Robust Topology Optimization of Truss with regard to Volume
A Cross Channel Context Model for Latents in Deep Image Compression
Detecting COVID-19 and Community Acquired Pneumonia using Chest CT scan images with Deep Learning
Traffic Predictive Control from Low-Rank Structure
On the Decidability of Reachability in Continuous Time Linear Time-Invariant Systems
Pattern Recognition of Bearing Faults using Smoother Statistical Features
Deep Learning Framework Testing via Heuristic Guidance Based on Multiple Model Measurements
Spatial Privacy-aware VR streaming
Satellite-Terrestrial Routing or Inter-Satellite Routing? A Stochastic Geometry Perspective
Causal affect prediction model using a facial image sequence
Syntactic Ghost: An Imperceptible General-purpose Backdoor Attacks on Pre-trained Language Models
Integrating Conflict Driven Clause Learning to Local Search
A Lossless Fuzzy Binary AND/OR Compressor
Faster way to agony: Discovering hierarchies in directed graphs
Fundamental Tensor Operations for Large-Scale Data Analysis in Tensor Train Formats
Low cost prediction of probability distributions of molecular properties for early virtual screening
Low-dimensional Interpretable Kernels with Conic Discriminant Functions for Classification
Technical Analysis of Security Infrastructure in RFID Technology
I 2 MD: 3D Action Representation Learning with Inter- and Intra-modal Mutual Distillation
Role-Based Access Controls
Mining Patents with Large Language Models Demonstrates Congruence of Functional Labels and Chemical Structures
Is PGD-Adversarial Training Necessary? Alternative Training via a Soft-Quantization Network with Noisy-Natural Samples Only
A comparative study of process mediator components that support behavioral incompatibility
Global labor flow network reveals the hierarchical organization and dynamics of geo-industrial clusters in the world economy
A probabilistic approach to spectral analysis of Cauchy-type inverse problems: Convergence and stability analysis
A General Scenario Theory For Security-Constrained Unit Commitment With Probabilistic Guarantees
FineServe: Precision-Aware KV Slab and Two-Level Scheduling for Heterogeneous Precision LLM Serving
Head Automata for Speech Translation
Performance Evaluation of Scheduling in 5G-mmWave Networks under Human Blockage
Approximation of the Maxwell eigenvalue problem in a Least-Squares setting
Hallucination reduction with CASAL: Contrastive Activation Steering For Amortized Learning
Shadow Wireless Intelligence: Large Language Model-Driven Reasoning in Covert Communications
Effective sampling for large-scale automated writing evaluation systems
GraphFM: A Scalable Framework for Multi-Graph Pretraining
InvisibiliTee: Angle-agnostic Cloaking from Person-Tracking Systems with a Tee
Error Performance of Channel Coding in Random Access Communication
TOC-UCO: a comprehensive repository of tabular ordinal classification datasets
Voice Activity Detection in presence of background noise using EEG
New Upper Bounds on Sizes of Permutation Arrays
Centralized calibration of power system dynamic models using variational data assimilation
Tikhonov Regularization for Long Short-Term Memory Networks
Lower Bound on the Optimal Access Bandwidth of (K+2, K, 2)-MDS Array Code with Degraded Read Friendly
End-to-End Multi-Tab Website Fingerprinting Attack: A Detection Perspective
Complex Networks Measures for Differentiation between Normal and Shuffled Croatian Texts
A novel method for object detection using deep learning and CAD models
From Occurrence to Consequence: A Comprehensive Data-driven Analysis of Building Fire Risk
Target-Oriented Fine-tuning for Zero-Resource Named Entity Recognition
L1-(2D)2PCANet: A Deep Learning Network for Face Recognition
PLGS: Robust Panoptic Lifting with 3D Gaussian Splatting
Complexity-aware fine-tuning
Optical Rate-Splitting Multiple Access for Visible Light Communications
subgraph2vec: Learning Distributed Representations of Rooted Sub-graphs from Large Graphs
A Scalable Approach for Facial Action Unit Classifier Training Using Noisy Data for Pre-Training
Reconstruction of Voxels with Position- and Angle-Dependent Weightings
Automatic Synthesis of Parallel and Distributed Unix Commands with KumQuat
Road Context-aware Intrusion Detection System for Autonomous Cars
An Interoperable Realization of Smart Cities with Plug and Play based Device Management
A SOT-MRAM-based Processing-In-Memory Engine for Highly Compressed DNN Implementation
On the Effects and Optimal Design of Redundant Sensors in Sensor Networks
Arbitrage-Free Bond and Yield Curve Forecasting with Neural Filters under HJM Constraints
Faster Rates for the Frank-Wolfe Algorithm Using Jacobi Polynomials
Boundary between noise and information applied to filtering neural network weight matrices
A Framework for Routing DNN Inference Jobs over Distributed Computing Networks
Symmetrically Fair Allocations of Indivisible Goods
Cross-Lingual Text Classification with Multilingual Distillation and Zero-Shot-Aware Training
Output-Feedback Stabilizing Policy Iteration for Convergence Assurance of Unknown Discrete-Time Systems with Unmeasurable States
Use of triplet loss for facial restoration in low-resolution images
Despite "super-human" performance, current LLMs are unsuited for decisions about ethics and safety
A $o(d) \cdot \text{polylog}~n$ Monotonicity Tester for Boolean Functions over the Hypergrid [n] d
Rethinking Retrieval-Augmented Generation for Medicine: A Large-Scale, Systematic Expert Evaluation and Practical Insights
Watermark Robustness and Radioactivity May Be at Odds in Federated Learning
Recovery of Localization Errors in Sensor Networks using Inter-Agent Measurements
STAMP: Scalable Task And Model-agnostic Collaborative Perception
Coexisting Coverage and Throughput of Multi-RAT Wireless Networks with Unlicensed Band Access
OccamVTS: Distilling Vision Models to 1% Parameters for Time Series Forecasting
Optimal Ternary Cyclic Codes from Monomials
Position Bias Mitigates Position Bias:Mitigate Position Bias Through Inter-Position Knowledge Distillation
ProReason: Multi-Modal Proactive Reasoning with Decoupled Eyesight and Wisdom
Symmetric Strategies for Multi-Access IoT Network Optimization: A Common Information Approach
Impact of Fasteners on the Radar Cross-Section performance of Radar Absorbing Air Intake Duct
Text-based Adventures of the Golovin AI Agent
AutoEvoEval: An Automated Framework for Evolving Close-Ended LLM Evaluation Data
Robust Dialogue Understanding in HERALD
A Network Simplex Method for the Budget-Constrained Minimum Cost Flow Problem
The weak Galerkin finite element method for Stokes interface problems with curved interface
Large Language Models for Telecom: The Next Big Thing?
Community Detection by Principal Components Clustering Methods
Global Unifying Intrinsic Calibration for Spinning and Solid-State LiDARs
Colored Gaussian Multiple Descriptions: Spectral-Domain Characterization and Time-Domain Design
Sparse Phased Array Optimization Using Deep Learning
Fly Safe: Aerial Swarm Robotics using Force Field Particle Swarm Optimisation
BP-Triplet Net for Unsupervised Domain Adaptation: A Bayesian Perspective
FOLE: The First-order Logical Environment
Toward Agents That Reason About Their Computation
DeepMI: Deep Multi-lead ECG Fusion for Identifying Myocardial Infarction and its Occurrence-time
Optimal Flexural Design of FRP-Reinforced Concrete Beams Using a Particle Swarm Optimizer
Data-driven Machinery Fault Detection: A Comprehensive Review
GDBA Revisited: Unleashing the Power of Guided Local Search for Distributed Constraint Optimization
RetroFlow: Maintaining Control Resiliency and Flow Programmability for Software-Defined WANs
Verifying Compositional Refinement of Assume/Guarantee Contracts using Linear Programming
Linearization-Based Feedback Stabilization of McKean-Vlasov PDEs
Mixed Precision DNN Qunatization for Overlapped Speech Separation and Recognition
Towards More Relevant Product Search Ranking Via Large Language Models: An Empirical Study
Data-Driven Recursive Least Squares Estimation for Model Predictive Current Control of Permanent Magnet Synchronous Motors
Transfer Learning on Multi-Dimensional Data: A Novel Approach to Neural Network-Based Surrogate Modeling
Brains and pseudorandom generators
Fast Processing of SPARQL Queries on RDF Quadruples
Explaining Machine Learning Models in Natural Conversations: Towards a Conversational XAI Agent
Additive Higher-Order Factorization Machines
Statistically Valid Post-Deployment Monitoring Should Be Standard for AI-Based Digital Health
On the conversion of multivalued gene regulatory networks to Boolean dynamics
The CAP Principle for LLM Serving: A Survey of Long-Context Large Language Model Serving
Domain-aware Control-oriented Neural Models for Autonomous Underwater Vehicles
GLMHA A Guided Low-rank Multi-Head Self-Attention for Efficient Image Restoration and Spectral Reconstruction
Simultaneous Policy Learning and Latent State Inference for Imitating Driver Behavior
Exploring the Impact of Noise and Degradations on Heart Sound Classification Models
Solving Polynomial Equations with Equation Constraints: the Zero-dimensional Case
Entering the Era of Discrete Diffusion Models: A Benchmark for Schrödinger Bridges and Entropic Optimal Transport
Modeling the behavior of reinforced concrete walls under fire, considering the impact of the span on firewalls
Exploration and Application of AI in 6G Field
Undivided Attention: Are Intermediate Layers Necessary for BERT?
Learning to bag with a simulation-free reinforcement learning framework for robots
A Survey on Personalized and Pluralistic Preference Alignment in Large Language Models
Lie-algebra Adaptive Tracking Control for Rigid Body Dynamics
Deep Fictitious Play for Stochastic Differential Games
Aesthetics, Personalization and Recommendation: A survey on Deep Learning in Fashion
CT-3DFlow : Leveraging 3D Normalizing Flows for Unsupervised Detection of Pathological Pulmonary CT scans
Gated recurrent neural networks discover attention
Topological descriptors of the parameter region of multistationarity: deciding upon connectivity
Word segmentation granularity in Korean
Driver Behavior Soft-Sensor Based on Neurofuzzy Systems and Weighted Projection on Principal Components
DAG-based Long Short-Term Memory for Neural Word Segmentation
A Saliency-based Clustering Framework for Identifying Aberrant Predictions
DEHYDRATOR: Enhancing Provenance Graph Storage via Hierarchical Encoding and Sequence Generation
The Smart Sampling Kalman Filter with Symmetric Samples
Deep Surrogate Docking: Accelerating Automated Drug Discovery with Graph Neural Networks
Efficient Computation of Visibility Polygons
A Progressive Network Management Architecture Enabled By Java Technology
Detecting Cluster with Temporal Information in Sparse Dynamic Graph
Learning Risk-aware Costmaps for Traversability in Challenging Environments
BiCoRec: Bias-Mitigated Context-Aware Sequential Recommendation Model
A Blockchain Architecture for Industrial Applications
A Novel Interpretation of the Radon Transform's Ray- and Pixel-Driven Discretizations under Balanced Resolutions
PGNAA Spectral Classification of Aluminium and Copper Alloys with Machine Learning
Campaign Knowledge Network: Building Knowledge for Campaign Efficiency
Music viewed by its Entropy content: A novel window for comparative analysis
Federated and Meta learning over Non-Wireless and Wireless Networks: A Tutorial
Computational Theories of Curiosity-Driven Learning
Algorithmic Fairness in Business Analytics: Directions for Research and Practice
Taxonomy-as-a-Service: How To Structure Your Related Work
A compact formula for the derivative of a 3-D rotation in exponential coordinates
Decompressing Knowledge Graph Representations for Link Prediction
On Inductive Biases in Deep Reinforcement Learning
Distributed nonlinear model predictive control of an autonomous tractor-trailer system
FLTG: Byzantine-Robust Federated Learning via Angle-Based Defense and Non-IID-Aware Weighting
Rule Covering for Interpretation and Boosting
Structural Balance and Interpersonal Appraisals Dynamics: Beyond All-to-All and Two-Faction Networks
SPECTra: Scalable Multi-Agent Reinforcement Learning with Permutation-Free Networks
From CLIP to DINO: Visual Encoders Shout in Multi-modal Large Language Models
Key-Exchange Convolutional Auto-Encoder for Data Augmentation in Early Knee OsteoArthritis Classification
Transforming Decoder-Only Transformers for Accurate WiFi-Telemetry Based Indoor Localization
Graph Q-Learning for Combinatorial Optimization
On LoRaWAN Scalability: Empirical Evaluation of Susceptibility to Inter-Network Interference
Resilient Multimodal Industrial Surface Defect Detection with Uncertain Sensors Availability
Generalization of Mrs. Gerber's Lemma
3-D Convolutional Neural Networks for Glioblastoma Segmentation
Pitfalls of Conditional Batch Normalization for Contextual Multi-Modal Learning
Composable OS Kernel Architectures for Autonomous Intelligence
Approximating CCCV charging using SOC-dependent tapered charging power constraints in long-term microgrid planning
amLite: Amharic Transliteration Using Key Map Dictionary
A Lightweight Algorithm to Uncover Deep Relationships in Data Tables
Still More Shades of Null: A Benchmark for Responsible Missing Value Imputation
Towards efficient models for real-time deep noise suppression
Fault Tolerance for Service Function Chains
Categorical Lyapunov Theory II: Stability of Systems
Reconstruction and Membership Inference Attacks against Generative Models
SCV-Stereo: Learning Stereo Matching from a Sparse Cost Volume