yusuke1997/dblp-id-title huggingface dataset:
TalkToAgent: A Human-centric Explanation of Reinforcement Learning Agents with Large Language Models
TextMaster: Universal Controllable Text Edit
Robust fully discrete error bounds for the Kuznetsov equation in the inviscid limit
Tree-like distance colouring for planar graphs of sufficient girth
OpenGuardrails: A Configurable, Unified, and Scalable Guardrails Platform for Large Language Models
Declarative Linearizability Proofs for Descriptor-Based Concurrent Helping Algorithms
CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning
Dynamic Pricing of Electric Vehicle Charging Station Alliances Under Information Asymmetry
Survey of Consensus Protocols
Better than BERT but Worse than Baseline
Rotate the ReLU to implicitly sparsify deep networks
Shared Autonomous Vehicle Mobility for a Transportation Underserved City
A Novel Wasserstein Quaternion Generative Adversarial Network for Color Image Generation
Square-free graphs with no six-vertex induced path
Understanding Physical Therapy Challenges for Older Adults through Mixed Reality
Solving Multiparametric Generalized Nash Equilibrium Problems and Explicit Game-Theoretic Model Predictive Control
High-order discontinuous Galerkin approximation for a three-phase incompressible Navier-Stokes/Cahn-Hilliard model
Insider Stories: Analyzing Internal Sustainability Efforts of Major US Companies from Online Reviews
Training Neural Networks as Learning Data-adaptive Kernels: Provable Representation and Approximation Benefits
Discriminating an Arbitrary Number of Pure Quantum States by the Combined CPT and Hermitian Measurements
Discovering Customer-Service Dialog System with Semi-Supervised Learning and Coarse-to-Fine Intent Detection
Emergence and Evolution of Interpretable Concepts in Diffusion Models
ExtraGS: Geometric-Aware Trajectory Extrapolation with Uncertainty-Guided Generative Priors
Multi-agent consensus over time-invariant and time-varying signed digraphs via eventual positivity
From error detection to behaviour observation: first results from screen capture analysis
Towards More Efficient Data Valuation in Healthcare Federated Learning using Ensembling
XtraGPT: LLMs for Human-AI Collaboration on Controllable Academic Paper Revision
LD-SDM: Language-Driven Hierarchical Species Distribution Modeling
CURENet: Combining Unified Representations for Efficient Chronic Disease Prediction
Decomposed Inductive Procedure Learning
Accelerating High-Throughput Catalyst Screening by Direct Generation of Equilibrium Adsorption Structures
Wireless Peer-to-Peer Scheduling in Mobile Networks
Solving the HP model with Nested Monte Carlo Search
A Differentially Private Kaplan-Meier Estimator for Privacy-Preserving Survival Analysis
s-ID: Causal Effect Identification in a Sub-Population
Can Molecular Foundation Models Know What They Don't Know? A Simple Remedy with Preference Optimization
Generalization in portfolio-based algorithm selection
VCR-Bench: A Comprehensive Evaluation Framework for Video Chain-of-Thought Reasoning
An Ensemble Dialogue System for Facts-Based Sentence Generation
Bayesian inference of network structure from information cascades
Gradient Descent Temporal Difference-difference Learning
ML-SPEAK: A Theory-Guided Machine Learning Method for Studying and Predicting Conversational Turn-taking Patterns
PyPop7: A Pure-Python Library for Population-Based Black-Box Optimization
Nonconvex Stochastic Scaled-Gradient Descent and Generalized Eigenvector Problems
Learning Single Index Models in High Dimensions
Reinforcement learning based data assimilation for unknown state model
Algorithmic information and plane Kakeya sets
The Thins Ordering on Relations
Netcast: Low-Power Edge Computing with WDM-defined Optical Neural Networks
A Genetic Algorithm-Based Approach to Power Allocation in Rate-Splitting Multiple Access Systems
Dominator Tree Certification and Independent Spanning Trees
Adaptive determinantal scheduling with fairness in wireless networks
Data-Driven Approximation of the Perron-Frobenius Operator Using the Wasserstein Metric
Characterizing and Enumerating Walsh-Hadamard Transform Algorithms
A fixed-point policy-iteration-type algorithm for symmetric nonzero-sum stochastic impulse games
Automatic differentiation for solid mechanics
Successor Features Support Model-based and Model-free Reinforcement Learning
JarvisArt: Liberating Human Artistic Creativity via an Intelligent Photo Retouching Agent
Decisions & Disruptions 2: Decide Harder
A Key 6G Challenge and Opportunity - Connecting the Remaining 4 Billions: A Survey on Rural Connectivity
Empirical Evaluation of Four Tensor Decomposition Algorithms
Predictive Digital Twin for Condition Monitoring Using Thermal Imaging
Open-world Story Generation with Structured Knowledge Enhancement: A Comprehensive Survey
Position Aided Beam Prediction in the Real World: How Useful GPS Locations Actually Are?
Sparse-View CT Reconstruction via Convolutional Sparse Coding
Neural Network Tracking of Moving Objects with Unknown Equations of Motion
Spatio-Temporal Graph Unlearning
Strong and Weak Random Walks on Signed Networks
Time-Darts: A Data Structure for Verification of Closed Timed Automata
Model-free front-to-end training of a large high performance laser neural network
JetsonLEAP: a Framework to Measure Power on a Heterogeneous System-on-a-Chip Device
QoS Provisioning Using Hybrid FSO RF Based Hierarchical Model for Wireless Multimedia Sensor Networks
Fixseeker: An Empirical Driven Graph-based Approach for Detecting Silent Vulnerability Fixes in Open Source Software
Slippage-robust Gaze Tracking for Near-eye Display
Social Media Argumentation Mining: The Quest for Deliberateness in Raucousness
Towards Optimised Data Transport and Analytics for Edge Computing
DTVLT: A Multi-modal Diverse Text Benchmark for Visual Language Tracking Based on LLM
Big Data and the Computational Social Science of Entrepreneurship and Innovation
Endoscopy disease detection challenge 2020
Benchmarking Evolutionary Algorithms For Real-valued Constrained Optimization - A Critical Review
Pattern Localization in Time Series through Signal-To-Model Alignment in Latent Space
Analysis of Communication Pattern with Scammers in Enron Corpus
A discrete three-dimensional divdiv complex on polyhedral meshes with application to a mixed formulation of the biharmonic problem
Grounding Artificial Intelligence in the Origins of Human Behavior
Is Dynamic Rumor Detection on social media Viable? An Unsupervised Perspective
A Novel Triplet Sampling Method for Multi-Label Remote Sensing Image Search and Retrieval
Concurrent Tracking of Inliers and Outliers
Spatial QUBO: Convolutional Formulation of Large-Scale Binary Optimization with Dense Interactions
Surgical-VQLA: Transformer with Gated Vision-Language Embedding for Visual Question Localized-Answering in Robotic Surgery
Hate Speech Criteria: A Modular Approach to Task-Specific Hate Speech Definitions
A 3D Curve Offset Approach for Ruled Surface Generation in Engineering Design
A Note on Property Testing Sum of Squares and Multivariate Polynomial Interpolation
Uncertainty Quantification for the Homogeneous Landau-Fokker-Planck Equation via Deterministic Particle Galerkin methods
Asynchronous Hybrid Reinforcement Learning for Latency and Reliability Optimization in the Metaverse over Wireless Communications
Quality Assessment of Low Light Restored Images: A Subjective Study and an Unsupervised Model
The fifteen year struggle of decentralizing privacy-enhancing technology
Learning-based Natural Geometric Matching with Homography Prior
Numerical analysis for subdiffusion problem with non-positive memory
UC-NeRF: Uncertainty-aware Conditional Neural Radiance Fields from Endoscopic Sparse Views
Efficiently Sampling Multiplicative Attribute Graphs Using a Ball-Dropping Process
Re-evaluating Group Robustness via Adaptive Class-Specific Scaling
On the Development of Methodology for Planning and Cost-Modeling of a Wide Area Network
Security Analysis of Cloud Computing
Sense of Agency in Closed-loop Muscle Stimulation
Adversarially robust quantum state learning and testing
Fixing Imbalanced Attention to Mitigate In-Context Hallucination of Large Vision-Language Model
Optimizing Retrieval-Augmented Generation (RAG) for Colloquial Cantonese: A LoRA-Based Systematic Review
Improving Hyper-Relational Knowledge Graph Completion
KG-HTC: Integrating Knowledge Graphs into LLMs for Effective Zero-shot Hierarchical Text Classification
Forensic Shoe-print Identification: A Brief Survey
SupMAE: Supervised Masked Autoencoders Are Efficient Vision Learners
Auxiliary Class Based Multiple Choice Learning
A Survey on GAN Acceleration Using Memory Compression Technique
A Testing Framework for P Systems
Explaining the emergence of echo chambers on social media: the role of ideology and extremism
AAAI SSS-22 Symposium on Closing the Assessment Loop: Communicating Proficiency and Intent in Human-Robot Teaming
EasyJailbreak: A Unified Framework for Jailbreaking Large Language Models
Reinforced Imitation: Sample Efficient Deep Reinforcement Learning for Map-less Navigation by Leveraging Prior Demonstrations
End-to-end Piano Performance-MIDI to Score Conversion with Transformers
Overview of the VLSP 2023 - ComOM Shared Task: A Data Challenge for Comparative Opinion Mining from Vietnamese Product Reviews
Inorganic synthesis-structure maps in zeolites with machine learning and crystallographic distances
Multi-Task Learning in Utterance-Level and Segmental-Level Spoof Detection
Integration of LLM Quality Assurance into an NLG System
Infinite Families of Recursive Formulas Generating Power Moments of Kloosterman Sums: Symplectic Case
SAVVY: Spatial Awareness via Audio-Visual LLMs through Seeing and Hearing
Blind Stereo Image Quality Assessment Inspired by Brain Sensory-Motor Fusion
Retrofitting Service Dependency Discovery in Distributed Systems
Vessel and Port Efficiency Metrics through Validated AIS data
SealQA: Raising the Bar for Reasoning in Search-Augmented Language Models
On core of categorical product of (di)graphs
Unitary rotation of pixellated polychromatic images
Approximately optimal domain adaptation with Fisher's Linear Discriminant Analysis
A Unified Speech LLM for Diarization and Speech Recognition in Multilingual Conversations
Approximating Spatial Distance Through Confront Networks: Application to the Segmentation of Medieval Avignon
BEAD: Best Effort Autonomous Deletion in Content-Centric Networking
A Novel Variational Family for Hidden Nonlinear Markov Models
Unsupervised Sentence Simplification via Dependency Parsing
A quality model for evaluating and choosing a stream processing framework architecture
Asking a Language Model for Diverse Responses
Security Review of Ethereum Beacon Clients
Realistic risk-mitigating recommendations via inverse classification
Sparse Federated Learning with Hierarchical Personalization Models
VisAhoi: Towards a Library to Generate and Integrate Visualization Onboarding Using High-level Visualization Grammars
Emergence of Digital Twins
From Function to Failure
Neural Recursive Belief States in Multi-Agent Reinforcement Learning
Multi-Actor Multi-Critic Deep Deterministic Reinforcement Learning with a Novel Q-Ensemble Method
Fast Certified Robust Training via Better Initialization and Shorter Warmup
Human Extraction and Scene Transition utilizing Mask R-CNN
Mapping Topics and Topic Bursts in PNAS
Creating Disasters: Recession Forecasting with GAN-Generated Synthetic Time Series Data
The Argument against Quantum Computers
Event-Case Correlation for Process Mining using Probabilistic Optimization
For the Misgendered Chinese in Gender Bias Research: Multi-Task Learning with Knowledge Distillation for Pinyin Name-Gender Prediction
Physics-Guided Diffusion Transformer with Spherical Harmonic Posterior Sampling for High-Fidelity Angular Super-Resolution in Diffusion MRI
Modelling and Classification of Fairness Patterns for Designing Sustainable Information Systems
Complete Test of Synthesised Safety Supervisors for Robots and Autonomous Systems
NTRUCipher-Lattice Based Secret Key Encryption
Heuristic Algorithm for Interpretation of Non-Atomic Categorical Attributes in Similarity-based Fuzzy Databases - Scalability Evaluation
GraphDistNet: A Graph-based Collision-distance Estimator for Gradient-based Trajectory
Attention Modules Improve Modern Image-Level Anomaly Detection: A DifferNet Case Study
Reliable Spatial-Temporal Voxels For Multi-Modal Test-Time Adaptation
Aliasing and Label-Independent Decomposition of Risk: Beyond the bias-variance trade-off
Deep Non-Monotonic Reasoning for Visual Abstract Reasoning Tasks
Unsupervised body part regression using convolutional neural network with self-organization
Data privacy protection in microscopic image analysis for material data mining
Graph theory enables drug repurposing. How a mathematical model can drive the discovery of hidden Mechanisms of Action
Isometry on Interval-valued Fuzzy Graphs
Educating for Hardware Specialization in the Chiplet Era: A Path for the HPC Community
Semi-analytical calculation of the singular and hypersingular integrals for discrete Helmholtz operators in 2D BEM
Neural gradients are lognormally distributed: understanding sparse and quantized training
Learning to Refine: An Agentic RL Approach for Iterative SPARQL Query Construction
SPIRIT: Short-term Prediction of solar IRradIance for zero-shot Transfer learning using Foundation Models
CM2LoD3: Reconstructing LoD3 Building Models Using Semantic Conflict Maps
Priority Attachment: a Universal Mechanism for Generating Networks
Affect in Tweets Using Experts Model
A secret sharing scheme using groups
ER-TEST: Evaluating Explanation Regularization Methods for NLP Models
Downlink Cellular Network Analysis with LOS/NLOS Propagation and Elevated Base Stations
Exploiting the Distortion-Semantic Interaction in Fisheye Data
Recurrent Spectral Network (RSN): shaping the basin of attraction of a discrete map to reach automated classification
Multi-Dimensional Explanation of Reviews
Skin-R1: Toward Trustworthy Clinical Reasoning for Dermatological Diagnosis
Distillation Quantification for Large Language Models
Deep learning for neuroimaging: a validation study
A Walk with SGD
GCS: Graph-based Coordination Strategy for Multi-Agent Reinforcement Learning
MMH* with arbitrary modulus is always almost-universal
Sparse Phase Retrieval via Sparse PCA Despite Model Misspecification: A Simplified and Extended Analysis
Machine Learning for Phase Behavior in Active Matter Systems
Standard audiogram classification from loudness scaling data using unsupervised, supervised, and explainable machine learning techniques
Automated Epilepsy Diagnosis Using Interictal Scalp EEG
Functional Encryption in the Bounded Storage Models
Causality-based CTR Prediction using Graph Neural Networks
Convolutional Neural Networks for the segmentation of microcalcification in Mammography Imaging
Two Bicomplex Least Mean Square (BLMS) algorithms
DAST: Difficulty-Adaptive Slow-Thinking for Large Reasoning Models
Investigating the Effect of Spatial Context on Multi-Task Sea Ice Segmentation
MIMO OFDM Radar IRCI Free Range Reconstruction with Sufficient Cyclic Prefix
Brain in the Dark: Design Principles for Neuromimetic Inference under the Free Energy Principle
Learning Real and Boolean Functions: When Is Deep Better Than Shallow
CRPS-LAM: Regional ensemble weather forecasting from matching marginals
Bridging Simulation and Reality: Cross-Domain Transfer with Semantic 2D Gaussian Splatting
Toward a statistical mechanics of four letter words
Refining Student Marks based on Enrolled Modules Assessment Methods using Data Mining Techniques
Distributed Stochastic Multi-Task Learning with Graph Regularization
Information-Theoretic Perspectives on Brascamp-Lieb Inequality and Its Reverse
Failure Modes of Time Series Interpretability Algorithms for Critical Care Applications and Potential Solutions
A Class-Aware Representation Refinement Framework for Graph Classification
Calibrating Explore-Exploit Trade-off for Fair Online Learning to Rank
RiskNet: Interaction-Aware Risk Forecasting for Autonomous Driving in Long-Tail Scenarios
Supervised and Unsupervised Alignments for Spoofing Behavioral Biometrics
Evolaris: A Roadmap to Self-Evolving Software Intelligence Management
Boosting Audio-visual Zero-shot Learning with Large Language Models
Creating a Safety Assurance Case for an ML Satellite-Based Wildfire Detection and Alert System
Minimizing Communication for Eigenproblems and the Singular Value Decomposition
Correcting Hallucinations in News Summaries: Exploration of Self-Correcting LLM Methods with External Knowledge
Gradient Regularization-based Neural Granger Causality
Urdu News Article Recommendation Model using Natural Language Processing Techniques
Green Economic Load Dispatch: A Review and Implementation
Two-dimensional optomechanics formed by the graphene sheet and photonic crystal cavity
Linearithmic Clean-up for Vector-Symbolic Key-Value Memory with Kroneker Rotation Products
Super-Resolution Information Enhancement For Crowd Counting
Cyber-Security Investment in the Context of Disruptive Technologies: Extension of the Gordon-Loeb Model
Resilient Linear Classification: An Approach to Deal with Attacks on Training Data
Statistical Learning and Estimation of Piano Fingering
Disrupting Vision-Language Model-Driven Navigation Services via Adversarial Object Fusion
ConvoWaste: An Automatic Waste Segregation Machine Using Deep Learning
SALT: A Lightweight Model Adaptation Method for Closed Split Computing Environments
Can the Inference Logic of Large Language Models be Disentangled into Symbolic Concepts?
Heterogeneous Graph-based Framework with Disentangled Representations Learning for Multi-target Cross Domain Recommendation
Assist-as-needed Control for FES in Foot Drop Management
Service-based Trajectory Planning in Multi-Drone Skyway Networks
KoACD: The First Korean Adolescent Dataset for Cognitive Distortion Analysis
DValue for Boolean games is EXP-complete
Phase Retrieval Using Unitary 2-Designs
Towards 6G Networks: Use Cases and Technologies
Skew Probabilistic Neural Networks for Learning from Imbalanced Data
Word Representations, Tree Models and Syntactic Functions
Attention Beam: An Image Captioning Approach
Fair and autonomous sharing of federate learning models in mobile Internet of Things
ZIP-FIT: Embedding-Free Data Selection via Compression-Based Alignment
Uncovering patterns of inter-urban trips and spatial interactions from check-in data
Augmenting LLMs to Repair Obsolete Test Cases with Static Collector and Neural Reranker
Reinforced Wasserstein Training for Severity-Aware Semantic Segmentation in Autonomous Driving
Enhancing CT Image synthesis from multi-modal MRI data based on a multi-task neural network framework
Safety Subspaces are Not Distinct: A Fine-Tuning Case Study
On Computing In the Network: Covid-19 Coughs Detection Case Study
Learning to compose 6-DoF omnidirectional videos using multi-sphere images
Robustness in Fairness against Edge-level Perturbations in GNN-based Recommendation
KGE-CL: Contrastive Learning of Knowledge Graph Embeddings
3D Facial Geometry Recovery from a Depth View with Attention Guided Generative Adversarial Network
Target Fishing: A Single-Label or Multi-Label Problem?
The Smart Highway to Babel: the coexistence of different generations of Intelligent Transport Systems
Computing the First Betti Numberand Describing the Connected Components of Semi-algebraic Sets
The devil is in Asymmetries (Rough Version)
From Chat Logs to Collective Insights: Aggregative Question Answering
Towards Social HRI for Improving Children's Healthcare Experiences
Self-supervised Graph-based Point-of-interest Recommendation
Erdős Matching Conjecture for almost perfect matchings
Improving Decoupled Posterior Sampling for Inverse Problems using Data Consistency Constraint
DeepLABNet: End-to-end Learning of Deep Radial Basis Networks with Fully Learnable Basis Functions
GuardVal: Dynamic Large Language Model Jailbreak Evaluation for Comprehensive Safety Testing
Differential Games of Competition in Online Content Diffusion
Children's Overtrust and Shifting Perspectives of Generative AI
Immersion for AI: Immersive Learning with Artificial Intelligence
A Nearly Tight Lower Bound for the d-Dimensional Cow-Path Problem
"I Recall the Past": Exploring How People Collaborate with Generative AI to Create Cultural Heritage Narratives
Robust Image Stitching with Optimal Plane
Wave-informed dictionary learning for high-resolution imaging in complex media
Shape from Projections via Differentiable Forward Projector
A constructive algorithm for the LLL on permutations
Xpose: Bi-directional Engineering for Hidden Query Extraction
Bayesian Nonparametric Dynamical Clustering of Time Series
Automatic pain recognition from Blood Volume Pulse (BVP) signal using machine learning techniques
BIP! Scholar: A Service to Facilitate Fair Researcher Assessment
MV-CoLight: Efficient Object Compositing with Consistent Lighting and Shadow Generation
Occluded object reconstruction for first responders with augmented reality glasses using conditional generative adversarial networks
The Role of Edges in Line Drawing Perception
The AutoSPADA Platform: User-Friendly Edge Computing for Distributed Learning and Data Analytics in Connected Vehicles
MTVNet: Mapping using Transformers for Volumes - Network for Super-Resolution with Long-Range Interactions
Pre-training on High Definition X-ray Images: An Experimental Study
Cube-based Isomorph-free Finite Model Finding
An End-to-End Model For Logits Based Large Language Models Watermarking
Polynomial Time Symmetry and Isomorphism Testing for Connected Graphs
Counts and end-curves in two-parameter persistence
VEGN: Variant Effect Prediction with Graph Neural Networks
Organizing Unstructured Image Collections using Natural Language
On the security of the Blockchain Bix Protocol and Certificates
Learning on Abstract Domains: A New Approach for Verifiable Guarantee in Reinforcement Learning
Gradient Reduction Convolutional Neural Network Policy for Financial Deep Reinforcement Learning
Level Up the Deepfake Detection: a Method to Effectively Discriminate Images Generated by GAN Architectures and Diffusion Models
Research performance of UNU - A bibliometric analysis of the United Nations University
Modeling Product Search Relevance in e-Commerce
Robust Federated Learning via Over-The-Air Computation
MambaRefine-YOLO: A Dual-Modality Small Object Detector for UAV Imagery
Dual-Student Knowledge Distillation Networks for Unsupervised Anomaly Detection
MemANNS: Enhancing Billion-Scale ANNS Efficiency with Practical PIM Hardware
A polynomial time log barrier method for problems with nonconvex constraints
MapQaTor: A System for Efficient Annotation of Map Query Datasets
A Decade of Information Architecture in HCI: A Systematic Literature Review
Learning and Controlling Silicon Dopant Transitions in Graphene using Scanning Transmission Electron Microscopy
Advanced Multi-Microscopic Views Cell Semi-supervised Segmentation
Training-Free Instance Segmentation from Semantic Image Segmentation Masks
Exploring Compositionality in Vision Transformers using Wavelet Representations
Adaptive Weighted Nonnegative Matrix Factorization for Robust Feature Representation
Multiple structural transitions in interacting networks
Package Hermeticity Testing with Thermal Transient Measurements
Automatic and Manual Segmentation of Hippocampus in Epileptic Patients MRI
End-to-end Throughput Maximization for Underlay Multi-hop Cognitive Radio Networks with RF Energy Harvesting
Economic Power, Population, and the Size of Astronomical Community
What's In A Patch, II: Visualizing generic surfaces
Instance-Dependent Regret Analysis of Kernelized Bandits
Guidelines and a Corpus for Extracting Biographical Events
Preserving Differential Privacy Between Features in Distributed Estimation
Joint Resource Optimization, Computation Offloading and Resource Slicing for Multi-Edge Traffic-Cognitive Networks
Beamsteering on Mobile Devices: Network Capacity and Client Efficiency
Self-healing networks: redundancy and structure
Developing a Risk Identification Framework for Foundation Model Uses
Block-diagonal Hessian-free Optimization for Training Neural Networks