yusuke1997/dblp-id-title huggingface dataset:
AutoScale: Automatic Prediction of Compute-optimal Data Composition for Training LLMs
Exploring Scaling Laws for Local SGD in Large Language Model Training
Evaluating NLP Systems On a Novel Cloze Task: Judging the Plausibility of Possible Fillers in Instructional Texts
I/O-Efficient Planar Range Skyline and Attrition Priority Queues
An RGB-D Image Dataset for Lychee Detection and Maturity Classification for Robotic Harvesting
Mapping the Design Space of Interactions in Human-AI Text Co-creation Tasks
Controlling Complex Networks with Compensatory Perturbations
Underwater Acoustic Ranging Between Smartphones
Faster Energy Maximization for Faster Maximum Flow
Structure-Preserving Reduction of Finite-Difference Time-Domain Equations with Controllable Stability Beyond the CFL Limit
Arterial incident duration prediction using a bi-level framework of extreme gradient-tree boosting
Perturbed Newton Method with Trust-region Time-stepping Schemes for Linear Programming with Uncertain Data
Data mining when each data point is a network
A Strongly Monotonic Polygonal Euler Scheme
Synthetic Interlocutors. Experiments with Generative AI to Prolong Ethnographic Encounters
LLMs can be Fooled into Labelling a Document as Relevant (best café near me; this paper is perfectly relevant)
NoRA: Nested Low-Rank Adaptation for Efficient Fine-Tuning Large Models
On curvature and temperature of complex networks
Cyberbullying Detection with Fairness Constraints
Newton Sketch: A Linear-time Optimization Algorithm with Linear-Quadratic Convergence
Improving Skip-Gram based Graph Embeddings via Centrality-Weighted Sampling
Representation Learning on a Random Lattice
StreetView-Waste: A Multi-Task Dataset for Urban Waste Management
Meta-Router: Bridging Gold-standard and Preference-based Evaluations in Large Language Model Routing
Accessible computational materials design with high fidelity and high throughput
S2CE: A Hybrid Cloud and Edge Orchestrator for Mining Exascale Distributed Streams
Self-Supervised Shadow Removal
The isomorphism problem for finite extensions of free groups is in PSPACE
Learning Invariant Feature Representation to Improve Generalization across Chest X-ray Datasets
Improving decision-making via risk-based active learning: Probabilistic discriminative classifiers
Mining Rooted Ordered Trees under Homeomorphism
Anticanonical codes from del Pezzo surfaces with Picard rank one
Exploring Equality: An Investigation into Custom Loss Functions for Fairness Definitions
On Optimal Caching and Model Multiplexing for Large Model Inference
Jigsaw: Supporting Designers in Prototyping Multimodal Applications by Assembling AI Foundation Models
Generalized Inpainting Method for Hyperspectral Image Acquisition
A Unified Knowledge Graph to Permit Interoperability of Heterogeneous Digital Evidence
Solving high-dimensional Hamilton-Jacobi-Bellman equation with functional hierarchical tensor
How could we ignore the lens and pupils of eyeballs: Metamaterial optics for retinal projection
Approximate GCD in a Bernstein basis
The ThreeDWorld Transport Challenge: A Visually Guided Task-and-Motion Planning Benchmark for Physically Realistic Embodied AI
Leveraging GNN to Enhance MEF Method in Predicting ENSO
A Parallel Workflow for Polar Sea-Ice Classification using Auto-labeling of Sentinel-2 Imagery
Too Far to See? Not Really! - Pedestrian Detection with Scale-aware Localization Policy
Deep Neural Networks are Surprisingly Reversible: A Baseline for Zero-Shot Inversion
Community-Based Efficient Algorithms for User-Driven Competitive Influence Maximization in Social Networks
Interpolatory Necessary Optimality Conditions for Reduced-order Modeling of Parametric Linear Time-invariant Systems
NuwaTS: a Foundation Model Mending Every Incomplete Time Series
Optimal Prefix Free Code: word-RAM Linear and Algebraic Instance Optimal
Multi-view Contrastive Self-Supervised Learning of Accounting Data Representations for Downstream Audit Tasks
Can Random Coin Flips Speed Up a Computer?
A Modular Transradial Bypass Socket for Surface Myoelectric Prosthetic Control in Non-Amputees
Screen Content Image Segmentation Using Sparse Decomposition and Total Variation Minimization
An efficient length- and rate-preserving concatenation of polar and repetition codes
On Improving Throughput of Multichannel ALOHA using Preamble-based Exploration
V2X-AHD: Vehicle-to-Everything Cooperation Perception via Asymmetric Heterogenous Distillation Network
FlashSloth: Lightning Multimodal Large Language Models via Embedded Visual Compression
Simultaneous Wireless Information and Power Transfer with Co-Channel Interference
Overcoming challenges in bamboo connections: A review of mechanical properties and structural considerations
Stereo 3D Gaussian Splatting SLAM for Outdoor Urban Scenes
A predictive model for kidney transplant graft survival using machine learning
Type I and Type II Bayesian Methods for Sparse Signal Recovery using Scale Mixtures
Computational Typology
MeshONet: A Generalizable and Efficient Operator Learning Method for Structured Mesh Generation
Kernel Correlation-Dissimilarity for Multiple Kernel k-Means Clustering
Streaming Message Interface: High-Performance Distributed Memory Programming on Reconfigurable Hardware
How Many Pinching Antennas Are Enough?
Hybrid Device-to-Device and Device-to-Vehicle Networks for Energy-Efficient Emergency Communication
Item Matching using Text Description and Similarity Search
Redundancy Resolution in Kinematic Control of Serial Manipulators in Multi-Obstacle Environment
Intelligent Hybrid Resource Allocation in MEC-assisted RAN Slicing Network
ADRD: LLM-Driven Autonomous Driving Based on Rule-based Decision Systems
Seeing poverty from space, how much can it be tuned?
On the Foundation of Sparse Sensing (Part II): Diophantine Sampling and Array Configuration
FedSynthCT-Brain: A Federated Learning Framework for Multi-Institutional Brain MRI-to-CT Synthesis
On the log-normality of the degree distribution in large homogeneous binary multiplicative attribute graph models
Bootstrapping as a Morphism: An Arithmetic Geometry Approach to Asymptotically Faster Homomorphic Encryption
Standards for the application of bibliometrics in the evaluation of individual researchers working in the natural sciences
The Future of Internet of Things and Multimodal Language Models in 6G Networks: Opportunities and Challenges
Machine Learning Applied to Peruvian Vegetables Imports
Tensor-Based Foundations of Ordinary Least Squares and Neural Network Regression Models
Gateway Controller with Deep Sensing: Learning to be Autonomic in Intelligent Internet of Things
On the use of first and second derivative approximations for biometric online signature recognition
The Graphics Card as a Streaming Computer
Rolling in the deep of cognitive and AI biases
Dreams Are More "Predictable" Than You Think
Operational Mermin non-locality and All-vs-Nothing arguments
Nonlinear Optimization with GPU-Accelerated Neural Network Constraints
Mapping Smarter, Not Harder: A Test-Time Reinforcement Learning Agent That Improves Without Labels or Model Updates
Dominance Products and Faster Algorithms for High-Dimensional Closest Pair under L ∞
Titans Revisited: A Lightweight Reimplementation and Critical Analysis of a Test-Time Memory Model
Towards Counterfactual and Contrastive Explainability and Transparency of DCNN Image Classifiers
Strong Asymptotic Optimality in General Environments
Mitigating Disparate Impact of Differential Privacy in Federated Learning through Robust Clustering
From Orchestration to Choreography through Contract Automata
Equiangular lines and regular graphs
Real-Time Elderly Healthcare Monitoring Expert System Using Wireless Sensor Network
Modifying the upper bound on the length of minimal synchronizing word
Node-Context Network Clustering using PARAFAC Tensor Decomposition
For each $α$ > 2 there is an infinite binary word with critical exponent $α$
Making mean-estimation more efficient using an MCMC trace variance approach: DynaMITE
Trove: Ontology-driven weak supervision for medical entity classification
A Survey of the Evolution of Language Model-Based Dialogue Systems
DeepThinkVLA: Enhancing Reasoning Capability of Vision-Language-Action Models
Sketch-and-Project Meets Newton Method: Global O(k -2 ) Convergence with Low-Rank Updates
Continuous Relaxations for the Traveling Salesman Problem
Modified Levenberg-Marquardt Algorithm For Tensor CP Decomposition in Image Compression
Usefulness of data flow diagrams and large language models for security threat validation: a registered report
Ionic Sieving Through One-Atom-Thick 2D Material Enables Analog Nonvolatile Memory for Neuromorphic Computing
Efficient Context Scaling with LongCat ZigZag Attention
Application of Facial Recognition using Convolutional Neural Networks for Entry Access Control
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care
Quantum algorithm for dense kernel matrices using hierarchical splitting
Empirical Evaluation of AI-Assisted Software Package Selection: A Knowledge Graph Approach
Automatic Labels are as Effective as Manual Labels in Biomedical Images Classification with Deep Learning
Effect of correlations on routing and modeling of Time Varying Communication Networks
Spectrum Sensing with Small-Sized Datasets in Cognitive Radio: Algorithms and Analysis
A Comprehensive Survey on Deep-Learning-based Vehicle Re-Identification: Models, Data Sets and Challenges
Conception and Use of Ontologies for Indexing and Searching by Semantic Contents of Video Courses
Permutation-based multi-objective evolutionary feature selection for high-dimensional data
Lightweight Transformer for EEG Classification via Balanced Signed Graph Algorithm Unrolling
Schemex: Discovering Design Patterns from Examples through Iterative Abstraction and Refinement
Large Language Models as a Tool for Mining Object Knowledge
Evaluating NLP Models via Contrast Sets
Enhancing Steering Estimation with Semantic-Aware GNNs
Como o Game Design Pode Incentivar o Comportamento Tóxico em Jogos Online
Borrowing Treasures from the Wealthy: Deep Transfer Learning through Selective Joint Fine-tuning
On the automorphism groups of some AG-codes based on C a, b curves
A Critical Review of Predominant Bias in Neural Networks
Resource Optimization for Blockchain-based Federated Learning in Mobile Edge Computing
Maximum-Likelihood Network Reconstruction for SIS Processes is NP-Hard
Virtual Prototyping and Distributed Control for Solar Array with Distributed Multilevel Inverter
Network psychometrics and cognitive network science open new ways for detecting, understanding and tackling the complexity of math anxiety: A review
Review of Machine Learning Methods for Additive Manufacturing of Functionally Graded Materials
Disentangled State Space Representations
A Machine Learning-Based Secure Face Verification Scheme and Its Applications to Digital Surveillance
Verifying C11-Style Weak Memory Libraries
Temperature as Uncertainty in Contrastive Learning
Bayesian D-Optimal Experimental Designs via Column Subset Selection: The Power of Reweighted Sensors
Weight-of-Thought Reasoning: Exploring Neural Network Weights for Enhanced LLM Reasoning
Generalizable Classification of UHF Partial Discharge Signals in Gas-Insulated HVDC Systems Using Neural Networks
Expansions of MSO by cardinality relations
The Return of Pseudosciences in Artificial Intelligence: Have Machine Learning and Deep Learning Forgotten Lessons from Statistics and History?
Optimizing differential equations to fit data and predict outcomes
Efficient and Distributed Large-Scale 3D Map Registration using Tomographic Features
An Energy Efficient Spectrum Sensing in Cognitive Radio Wireless Sensor Networks
Enhancing multilingual speech recognition in air traffic control by sentence-level language identification
Regulating Online Algorithmic Pricing: A Comparative Study of Privacy and Data Protection Laws in the EU and US
The Cascading Metric Tree
DBOT: Artificial Intelligence for Systematic Long-Term Investing
Two Cellular Resource Based Models Linking Growth and Parts Characteristics Aids the Study and Optimization of Synthetic Gene Circuits
State-based approach to the numerical solution of Dirichlet boundary optimal control problems for the Laplace equation
Robust Low-rank Matrix Completion via an Alternating Manifold Proximal Gradient Continuation Method
Parallel One-Step Control of Parametrised Boolean Networks
Towards Unified Representation of Multi-Modal Pre-training for 3D Understanding via Differentiable Rendering
Relevance-driven Decision Making for Safer and More Efficient Human Robot Collaboration
Relay Selection in Cooperative Power Line Communication: A Multi-Armed Bandit Approach
Unveiling the gap between continuous and discrete adjoint lattice Boltzmann methods
Constantly Improving Image Models Need Constantly Improving Benchmarks
Learning Cross-Domain Representation with Multi-Graph Neural Network
Clipping and Intersection Algorithms: Short Survey and References
AssemMate: Graph-Based LLM for Robotic Assembly Assistance
Prototypical Cross-domain Self-supervised Learning for Few-shot Unsupervised Domain Adaptation
A Triangular Network For Density Estimation
LOcAl DEcisions on Replicated States (LOADER) in programmable data planes: programming abstraction and experimental evaluation
Cross-Layer Feature Self-Attention Module for Multi-Scale Object Detection
Set-based complexity and biological information
A Cyclic Proof System for HFLN
Error-Aware Curriculum Learning for Biomedical Relation Classification
F3-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis
A Novel ML-driven Test Case Selection Approach for Enhancing the Performance of Grammatical Evolution
Classifying the Stoichiometry of Virus-like Particles with Interpretable Machine Learning
Enhancing Robot Safety via MLLM-Based Semantic Interpretation of Failure Data
A High Speed Multi-label Classifier based on Extreme Learning Machines
Safety Analysis for Vehicle Guidance Systems with Dynamic Fault Trees
What Would You Do? Acting by Learning to Predict
Laboratory demonstration of the local oscillator concept for the Event Horizon Imager
WangchanBERTa: Pretraining transformer-based Thai Language Models
Concepts for End-to-end Augmented Reality based Human-Robot Interaction Systems
Optimizing Image Capture for Computer Vision-Powered Taxonomic Identification and Trait Recognition of Biodiversity Specimens
Toward Enabling Reproducibility for Data-Intensive Research using the Whole Tale Platform
Learning to generate shape from global-local spectra
Kernel Mode Decomposition and programmable/interpretable regression networks
Science in the Era of ChatGPT, Large Language Models and AI: Challenges for Research Ethics Review and How to Respond
Routing for Global Congestion Avoidance
A study of the universal threshold in the L1 recovery by statistical mechanics
Eliciting Latent Knowledge from Quirky Language Models
Learning Parameter Sharing with Tensor Decompositions and Sparsity
A Diffractive Neural Network with Weight-Noise-Injection Training
Improving science yield for NASA Swift with automated planning technologies
Can Audio Captions Be Evaluated with Image Caption Metrics?
Pitch Plane Trajectory Tracking Control for Sounding Rockets via Adaptive Feedback Linearization
Prismatic World Model: Learning Compositional Dynamics for Planning in Hybrid Systems
PathSAGE: Spatial Graph Attention Neural Networks With Random Path Sampling
Improving Neural Network Classifier using Gradient-based Floating Centroid Method
Distributed Methods with Absolute Compression and Error Compensation
A Bi-Level Stochastic Game Model for PMU Placement in Power Grid with Cybersecurity Risks
Multi-scale Interactive Network for Salient Object Detection
Path-LLM: A Shortest-Path-based LLM Learning for Unified Graph Representation
Grid-Free MIMO Beam Alignment through Site-Specific Deep Learning
Developing generative AI chatbots conceptual framework for higher education
Autoencoder based approach for the mitigation of spurious correlations
On the best lattice quantizers
Space-Time Continuum: Continuous Shape and Time State Estimation for Flexible Robots
A full controller for a fixed-wing UAV
Computing the k-binomial complexity of the Thue-Morse word
Attention in a family of Boltzmann machines emerging from modern Hopfield networks
Summary of Point Transformer with Federated Learning for Predicting Breast Cancer HER2 Status from Hematoxylin and Eosin-Stained Whole Slide Images
Elliptical Wishart distributions: information geometry, maximum likelihood estimator, performance analysis and statistical learning
Autoencoders in Function Space
Legal Question Answering using Ranking SVM and Deep Convolutional Neural Network
A Unified Approach to Joint and Iterative Adaptive Interference Cancellation and Parameter Estimation for CDMA Systems in Multipath Channels
RecMind: Japanese Movie Recommendation Dialogue with Seeker's Internal State
Interaction-Based Driving Scenario Classification and Labeling
IowaRain: A Statewide Rain Event Dataset Based on Weather Radars and Quantitative Precipitation Estimation
TeaNet: universal neural network interatomic potential inspired by iterative electronic relaxations
Memory and Bandwidth are All You Need for Fully Sharded Data Parallel
Ternary Gamma Semirings as a Novel Algebraic Framework for Learnable Symbolic Reasoning
Hetu v2: A General and Scalable Deep Learning System with Hierarchical and Heterogeneous Single Program Multiple Data Annotations
Graph-Theoretic Framework for Unified Analysis of Observability and Data Injection Attacks in the Smart Grid
Data Race Detection by Digest-Driven Abstract Interpretation (Extended Version)
WAFFLE: Weighted Averaging for Personalized Federated Learning
On Secure Exact-repair Regenerating Codes with a Single Pareto Optimal Point
On Distributed Graph Coloring with Iterative Recoloring
FluentNet: End-to-End Detection of Speech Disfluency with Deep Learning
RNN-Transducer-based Losses for Speech Recognition on Noisy Targets
Advanced Software Protection Now
Unshuffling fields in data formats
Vision-Based Lane Detection and Tracking under Different Challenging Environmental Conditions
Uncertainty Estimation via Response Scaling for Pseudo-mask Noise Mitigation in Weakly-supervised Semantic Segmentation
Improved Bounds on the Span of L(1, 2)-edge Labeling of Some Infinite Regular Grids
Privacy Leakage in Mobile Computing: Tools, Methods, and Characteristics
Fun Boy Three Were Wrong: it is what you do, not the way that you do it
Fast Community Detection based on Graph Autoencoder Reconstruction
Improving Knowledge Distillation in Transfer Learning with Layer-wise Learning Rates
Optimus-Q: Utilizing Federated Learning in Adaptive Robots for Intelligent Nuclear Power Plant Operations through Quantum Cryptography
May the Feedback Be with You! Unlocking the Power of Feedback-Driven Deep Learning Framework Fuzzing via LLMs
Deep Fruit Detection in Orchards
PARAFAC2×N: Coupled Decomposition of Multi-modal Data with Drift in N Modes
MOYU: A Theoretical Study on Massive Over-activation Yielded Uplifts in LLMs
Simultaneous Intermittent Communication Control and Path Optimization in Networks of Mobile Robots
A new wave of vehicle insurance fraud fueled by generative AI
Forming Guard Sets using AS Relationships
Achieving Linear Speedup in Asynchronous Federated Learning with Heterogeneous Clients
Joint Estimation of Multipath Angles and Delays for Millimeter-Wave Cylindrical Arrays with Hybrid Front-ends
Objective Features Extracted from Motor Activity Time Series for Food Addiction Analysis Using Machine Learning
The Cloud Adoption Toolkit: Supporting Cloud Adoption Decisions in the Enterprise
Symbiotic Agents: A Novel Paradigm for Trustworthy AGI-driven Networks
NeurIPS 2025 E2LM Competition : Early Training Evaluation of Language Models
Evaluating Physician-AI Interaction for Cancer Management: Paving the Path towards Precision Oncology
DGCM-Net: Dense Geometrical Correspondence Matching Network for Incremental Experience-based Robotic Grasping
Document-Level Abstractive Summarization
Identifying Patch Correctness in Test-Based Automatic Program Repair
Order-one strong convergence of numerical methods for SDEs without globally monotone coefficients
Compressive Estimation of a Stochastic Process with Unknown Autocorrelation Function
Closing the Performance Gap in Biometric Cryptosystems: A Deeper Analysis on Unlinkable Fuzzy Vaults
Matrix method for the multi salesmen problem (TSP) with several vehicles
Revisiting Knowledge Distillation for Object Detection
A quantum approach to fully homomorphic encryption
Systematic Literature Review of Validation Methods for AI Systems
Polynomial Life: the Structure of Adaptive Systems
Random Forest Dissimilarity for High-Dimension Low Sample Size Classification
Average-Distortion Sketching
Solving Shisen-Sho boards
Spectroscopic data de-noising via training-set-free deep learning method
A Taxonomy of Loss Functions for Stochastic Optimal Control
Bias Mitigating Few-Shot Class-Incremental Learning
CIS-BA: Continuous Interaction Space Based Backdoor Attack for Object Detection in the Real-World
Improving Performance of Automated Essay Scoring by using back-translation essays and adjusted scores
New bounds for circulant Johnson-Lindenstrauss embeddings
A family of lattices with an unbounded number of unit vectors
Video-Mediated Emotion Disclosure: Expressions of Fear, Sadness, and Joy by People with Schizophrenia on YouTube
Conformity enhances network reciprocity in evolutionary social dilemmas
SmartSales: Sales Script Extraction and Analysis from Sales Chatlog
Cold-Tip Temperature Control of Space-borne SatelliteStirlingCryocooler: Mathematical Modeling and Control Investigation
Learning Discriminative Representation with Signed Laplacian Restricted Boltzmann Machine
A Comparative Study of Delta Parquet, Iceberg, and Hudi for Automotive Data Engineering Use Cases
Unsupervised Defect Detection for Surgical Instruments
AD-GAN: End-to-end Unsupervised Nuclei Segmentation with Aligned Disentangling Training
Parameterized complexity of fair deletion problems II
A Semantic Alignment System for Multilingual Query-Product Retrieval
Accelerating Quantum Eigensolver Algorithms With Machine Learning
Kron-based Model-order Reduction of Open Mass-action Kinetics Chemical Reaction Networks
Track selection in Multifunction Radars: Nash and correlated equilibria
Convergence-rate and error analysis of sectional-volume average method for the collisional breakage equation with multi-dimensional modelling
LegalTurk Optimized BERT for Multi-Label Text Classification and NER
FIMP-HGA: A Novel Approach to Addressing the Partitioning Min-Max Weighted Matching Problem
Comparative Analysis for Quick Sort Algorithm under four Different Modes of Execution
Reliable Interval Prediction of Minimum Operating Voltage Based on On-chip Monitors via Conformalized Quantile Regression
Information Batteries: Storing Opportunity Power with Speculative Execution
TOKEN is a MASK: Few-shot Named Entity Recognition with Pre-trained Language Models
Group-averaged Markov chains: mixing improvement
Co-existence of Terrestrial and Non-Terrestrial Networks in S-band
Fast estimation method for rank of a high-dimensional sparse matrix
Outlier-Insensitive Kalman Filtering: Theory and Applications
A Comparison Between Decision Trees and Decision Tree Forest Models for Software Development Effort Estimation
Improving type information inferred by decompilers with supervised machine learning
Towards Unlocking Insights from Logbooks Using AI
Video Creation by Demonstration
An Efficient Framework for Network Code based Multimedia Content Distribution in a Hybrid P2P Network
Fish-Speech: Leveraging Large Language Models for Advanced Multilingual Text-to-Speech Synthesis
Scalable Group Secret Key Generation over Wireless Channels
Dereverberation of Autoregressive Envelopes for Far-field Speech Recognition
Payment-failure times for random Lightning paths
FPT algorithms over linear delta-matroids with applications
LAION-SG: An Enhanced Large-Scale Dataset for Training Complex Image-Text Models with Structural Annotations