Imagen de Portada

Adaptive scheduling for adaptive sampling in POS taggers construction

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Ferro, Manuel Vilares, Bilbao, Victor M. Darriba, Ferro, Jesús Vilares
Formato:	Preprint
Publicado:	2024
Materias:	Computation and Language Artificial Intelligence Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Absolute convergence and error thresholds in non-active adaptive sampling
por: Ferro, Manuel Vilares, et al.
Publicado: (2024)

Modeling of learning curves with applications to pos tagging
por: Ferro, Manuel Vilares, et al.
Publicado: (2024)

Surfing the modeling of PoS taggers in low-resource scenarios
por: Ferro, Manuel Vilares, et al.
Publicado: (2024)

Early stopping by correlating online indicators in neural networks
por: Ferro, Manuel Vilares, et al.
Publicado: (2024)

LyS at SemEval 2025 Task 8: Zero-Shot Code Generation for Tabular QA
por: Gude, Adrián, et al.
Publicado: (2025)

On the performance of phonetic algorithms in microtext normalization
por: Doval, Yerai, et al.
Publicado: (2024)

Aplicaciones del Procesamiento del Lenguaje Natural en la Recuperacion de Información en Español
por: Jesús Vilares Ferro
Publicado: (2006)

Assembly of Experts: Linear-time construction of the Chimera LLM variants with emergent and adaptable behaviors
por: Klagges, Henrik, et al.
Publicado: (2025)

HiTZ at VarDial 2025 NorSID: Overcoming Data Scarcity with Language Transfer and Automatic Data Annotation
por: Bengoetxea, Jaione, et al.
Publicado: (2024)

A comprehensive solution to retrieval-based chatbot construction
por: Moore, Kristen, et al.
Publicado: (2021)

Small sample-based adaptive text classification through iterative and contrastive description refinement
por: Rajeev, Amrit, et al.
Publicado: (2025)

Transformer-Squared: Self-adaptive LLMs
por: Sun, Qi, et al.
Publicado: (2025)

Transformers for molecular property prediction: Domain adaptation efficiently improves performance
por: Sultan, Afnan, et al.
Publicado: (2025)

DashAttention: Differentiable and Adaptive Sparse Hierarchical Attention
por: Huang, Yuxiang, et al.
Publicado: (2026)

A dataset and benchmark for hospital course summarization with adapted large language models
por: Aali, Asad, et al.
Publicado: (2024)

Memory-efficient Energy-adaptive Inference of Pre-Trained Models on Batteryless Embedded Systems
por: Farina, Pietro, et al.
Publicado: (2024)

LyS at SemEval-2024 Task 3: An Early Prototype for End-to-End Multimodal Emotion Linking as Graph-Based Parsing
por: Ezquerro, Ana, et al.
Publicado: (2024)

Soft Adaptive Policy Optimization
por: Gao, Chang, et al.
Publicado: (2025)

Constrained Adaptive Rejection Sampling
por: Parys, Paweł, et al.
Publicado: (2025)

fg-expo: Frontier-guided exploration-prioritized policy optimization via adaptive kl and gaussian curriculum
por: Lin, Mingxiong, et al.
Publicado: (2026)

Adaptive Computation Pruning for the Forgetting Transformer
por: Lin, Zhixuan, et al.
Publicado: (2025)

Adaptive Milestone Reward for GUI Agents
por: Zheng, Congmin, et al.
Publicado: (2026)

Adaptively profiling models with task elicitation
por: Brown, Davis, et al.
Publicado: (2025)

Deep learning and abstractive summarisation for radiological reports: an empirical study for adapting the PEGASUS models' family with scarce data
por: Benzoni, Claudio, et al.
Publicado: (2025)

Focus On This, Not That! Steering LLMs with Adaptive Feature Specification
por: Lamb, Tom A., et al.
Publicado: (2024)

Calibrating Language Models with Adaptive Temperature Scaling
por: Xie, Johnathan, et al.
Publicado: (2024)

MDAgents: An Adaptive Collaboration of LLMs for Medical Decision-Making
por: Kim, Yubin, et al.
Publicado: (2024)

Adaptive Guidance for Retrieval-Augmented Masked Diffusion Models
por: Kim, Jaemin, et al.
Publicado: (2026)

Zero-Overhead Introspection for Adaptive Test-Time Compute
por: Manvi, Rohin, et al.
Publicado: (2025)

ARGUS: Adaptive Rotation-Invariant Geometric Unsupervised System
por: Sharma, Anantha
Publicado: (2026)

Adaptive Margin RLHF via Preference over Preferences
por: Chittepu, Yaswanth, et al.
Publicado: (2025)

Adaptive Guidance Accelerates Reinforcement Learning of Reasoning Models
por: Nath, Vaskar, et al.
Publicado: (2025)

An Adaptive Placement and Parallelism Framework for Accelerating RLHF Training
por: Xiao, Youshao, et al.
Publicado: (2023)

Adaptive Elicitation of Latent Information Using Natural Language
por: Wang, Jimmy, et al.
Publicado: (2025)

COMPASS: COntinual Multilingual PEFT with Adaptive Semantic Sampling
por: Flynn, Noah
Publicado: (2026)

KVzap: Fast, Adaptive, and Faithful KV Cache Pruning
por: Jegou, Simon, et al.
Publicado: (2026)

AdaBoN: Adaptive Best-of-N Alignment
por: Raman, Vinod, et al.
Publicado: (2025)

Adaptive Soft Rolling KV Freeze with Entropy-Guided Recovery: Sublinear Memory Growth for Efficient LLM Inference
por: Metinov, Adilet, et al.
Publicado: (2025)

BEST-Route: Adaptive LLM Routing with Test-Time Optimal Compute
por: Ding, Dujian, et al.
Publicado: (2025)

Adaptive Pruning for Large Language Models with Structural Importance Awareness
por: Zheng, Haotian, et al.
Publicado: (2024)