Cover Image

Speaker Fuzzy Fingerprints: Benchmarking Text-Based Identification in Multiparty Dialogues

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ribeiro, Rui, Coheur, Luísa, Carvalho, Joao P.
Format:	Preprint
Published:	2025
Subjects:	Computation and Language Artificial Intelligence Computational Engineering, Finance, and Science Machine Learning Neural and Evolutionary Computing
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

CryptoGPT: a 7B model rivaling GPT-4 in the task of analyzing and classifying real-time financial news
by: Zhang, Ying, et al.
Published: (2024)

An improved educational competition optimizer with multi-covariance learning operators for global optimization problems
by: Zhao, Baoqi, et al.
Published: (2025)

A multi-strategy improved gazelle optimization algorithm for solving numerical optimization and engineering applications
by: Diao, Qi, et al.
Published: (2025)

Green vehicle routing problem that jointly optimizes delivery speed and routing based on the characteristics of electric vehicles
by: Feng, YY.
Published: (2024)

A modified RIME algorithm with covariance learning and diversity enhancement for numerical optimization
by: Shi, Shangqing, et al.
Published: (2025)

OR-Agent: Bridging Evolutionary Search and Structured Research for Automated Algorithm Discovery
by: Liu, Qi, et al.
Published: (2026)

Benchmarking ERP Analysis: Manual Features, Deep Learning, and Foundation Models
by: Wang, Yihe, et al.
Published: (2026)

Benchmarking of GPU-optimized Quantum-Inspired Evolutionary Optimization Algorithm using Functional Analysis
by: Kumar, Kandula Eswara Sai, et al.
Published: (2024)

Enhancing Physics-Informed Neural Networks with Domain-aware Fourier Features: Towards Improved Performance and Interpretable Results
by: Calero, Alberto Miño, et al.
Published: (2026)

AutoTandemML: Active Learning Enhanced Tandem Neural Networks for Inverse Design Problems
by: Grbcic, Luka, et al.
Published: (2025)

Input Specific Neural Networks
by: Jadoon, Asghar A., et al.
Published: (2025)

Active Learning for Neural PDE Solvers
by: Musekamp, Daniel, et al.
Published: (2024)

Smart Timing for Mining: A Deep Learning Framework for Bitcoin Hardware ROI Prediction
by: Wickramasinghe, Sithumi, et al.
Published: (2025)

Efficient Inverse Design Optimization through Multi-fidelity Simulations, Machine Learning, and Search Space Reduction Strategies
by: Grbcic, Luka, et al.
Published: (2023)

A Differentiable Approach to Multi-scale Brain Modeling
by: Wang, Chaoming, et al.
Published: (2024)

An approach to the timetabling problem in deregulated railway markets based on metaheuristic algorithms
by: Muñoz-Valero, David, et al.
Published: (2025)

Illustrating the benefits of efficient creation and adaption of behavior models in intelligent Digital Twins over the machine life cycle
by: Dittler, Daniel, et al.
Published: (2024)

Modified-Improved Fitness Dependent Optimizer for Complex and Engineering Problems
by: Hamarashid, Hozan K., et al.
Published: (2024)

Towards Equitable Rail Service Allocation Through Fairness-Oriented Timetabling in Liberalized Markets
by: Muñoz-Valero, David, et al.
Published: (2025)

Graph Neural Network Assisted Genetic Algorithm for Structural Dynamic Response and Parameter Optimization
by: Mukherjee, Sagnik, et al.
Published: (2025)

Populating cellular metamaterials on the extrema of attainable elasticity through neuroevolution
by: Yan, Maohua, et al.
Published: (2024)

Meta-heuristic Optimizer Inspired by the Philosophy of Yi Jing
by: Yang, Yisheng, et al.
Published: (2024)

Dominant Design Prediction with Phylogenetic Networks
by: He, Youwei, et al.
Published: (2024)

Higher-order-ReLU-KANs (HRKANs) for solving physics-informed neural networks (PINNs) more accurately, robustly and faster
by: So, Chi Chiu, et al.
Published: (2024)

Enhancing Heat Sink Efficiency in MOSFETs using Physics Informed Neural Networks: A Systematic Study on Coolant Velocity Estimation
by: Bora, Aniruddha, et al.
Published: (2026)

Advanced Displacement Magnitude Prediction in Multi-Material Architected Lattice Structure Beams Using Physics Informed Neural Network Architecture
by: Mishra, Akshansh
Published: (2024)

Benchmark for CEC 2024 Competition on Multiparty Multiobjective Optimization
by: Luo, Wenjian, et al.
Published: (2024)

Regression-based Physics Informed Neural Networks (Reg-PINNs) for Magnetopause Tracking
by: Hou, Po-Han, et al.
Published: (2023)

LLM-Guided Evolutionary Program Synthesis for Quasi-Monte Carlo Design
by: Sadikov, Amir
Published: (2025)

ST-ResGAT: Explainable Spatio-Temporal Graph Neural Network for Road Condition Prediction and Priority-Driven Maintenance
by: Topu, Mohsin Mahmud, et al.
Published: (2026)

Brain-Like Replay Naturally Emerges in Reinforcement Learning Agents
by: Wang, Jiyi, et al.
Published: (2024)

Robust blue-green urban flood risk management optimised with a genetic algorithm for multiple rainstorm return periods
by: Rehman, Asid Ur, et al.
Published: (2025)

PINEAPPLE: Physics-Informed Neuro-Evolution Algorithm for Prognostic Parameter Inference in Lithium-Ion Battery Electrodes
by: Pugalenthi, Karkulali, et al.
Published: (2026)

Generative AI-based Prompt Evolution Engineering Design Optimization With Vision-Language Model
by: Wong, Melvin, et al.
Published: (2024)

The Principle of Maximum Heterogeneity Optimises Productivity in Distributed Production Systems Across Biology, Economics, and Computing
by: Artis, Guillhem, et al.
Published: (2026)

Plastic Arbor: a modern simulation framework for synaptic plasticity -- from single synapses to networks of morphological neurons
by: Luboeinski, Jannik, et al.
Published: (2024)

Personalized Transcranial Electrical Stimulation: A Review of Computational Modeling and Optimization
by: Wang, Mo, et al.
Published: (2025)

Liquid Fourier Latent Dynamics Networks for fast GPU-based numerical simulations in computational cardiology
by: Salvador, Matteo, et al.
Published: (2024)

Evaluating the Efficacy of Instance Incremental vs. Batch Learning in Delayed Label Environments: An Empirical Study on Tabular Data Streaming for Fraud Detection
by: Amekoe, Kodjo Mawuena, et al.
Published: (2024)

Evolutionary Optimization of Physics-Informed Neural Networks: Evo-PINN Frontiers and Opportunities
by: Wong, Jian Cheng, et al.
Published: (2025)