:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Ferro, Manuel Vilares, Bilbao, Víctor M. Darriba, Ribadas-Pena, Francisco J., Gil, Jorge Graña
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Machine Learning 68, 68T50
Online Access:	https://arxiv.org/abs/2402.02449
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Improving Large-Scale k-Nearest Neighbor Text Categorization with Label Autoencoders
by: Ribadas-Pena, Francisco J., et al.
Published: (2024)

Adaptive scheduling for adaptive sampling in POS taggers construction
by: Ferro, Manuel Vilares, et al.
Published: (2024)

CoLe and LYS at BioASQ MESINESP8 Task: similarity based descriptor assignment in Spanish
by: Ribadas-Pena, Francisco J., et al.
Published: (2024)

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

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

Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach
by: Liu, Linyu, et al.
Published: (2024)

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

Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study
by: Keraghel, Imed, et al.
Published: (2024)

LLM-Assisted Crisis Management: Building Advanced LLM Platforms for Effective Emergency Response and Public Collaboration
by: Otal, Hakan T., et al.
Published: (2024)

OptPO: Optimal Rollout Allocation for Test-time Policy Optimization
by: Wang, Youkang, et al.
Published: (2025)

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures
by: Nogales, Miguel, et al.
Published: (2025)

A Language Model-Driven Semi-Supervised Ensemble Framework for Illicit Market Detection Across Deep/Dark Web and Social Platforms
by: Yazdanjue, Navid, et al.
Published: (2025)

Clustering in pure-attention hardmax transformers and its role in sentiment analysis
by: Alcalde, Albert, et al.
Published: (2024)

Semantic Needles in Document Haystacks: Sensitivity Testing of LLM-as-a-Judge Similarity Scoring
by: Aksoy, Sinan G., et al.
Published: (2026)

Review GIDE -- Restaurant Review Gastrointestinal Illness Detection and Extraction with Large Language Models
by: Laurence, Timothy, et al.
Published: (2025)

CausalSent: Interpretable Sentiment Classification with RieszNet
by: Frees, Daniel, et al.
Published: (2025)

Does It Make Sense to Explain a Black Box With Another Black Box?
by: Delaunay, Julien, et al.
Published: (2024)

Healthy LLMs? Benchmarking LLM Knowledge of UK Government Public Health Information
by: Harris, Joshua, et al.
Published: (2025)

Evaluating Large Language Models for Public Health Classification and Extraction Tasks
by: Harris, Joshua, et al.
Published: (2024)

Optimization Strategies for Enhancing Resource Efficiency in Transformers & Large Language Models
by: Wallace, Tom, et al.
Published: (2025)

QuAILoRA: Quantization-Aware Initialization for LoRA
by: Lawton, Neal, et al.
Published: (2024)

Self-Attention as Transport: Limits of Symmetric Spectral Diagnostics
by: Dahlem, Dominik, et al.
Published: (2026)

Inference acceleration for large language models using "stairs" assisted greedy generation
by: Grigaliūnas, Domas, et al.
Published: (2024)

Cache-to-Cache: Direct Semantic Communication Between Large Language Models
by: Fu, Tianyu, et al.
Published: (2025)

FairLangProc: A Python package for fairness in NLP
by: Pérez-Peralta, Arturo, et al.
Published: (2025)

Data filtering methods for training language models
by: Shevchenko, Egor, et al.
Published: (2026)

Contrasting Linguistic Patterns in Human and LLM-Generated News Text
by: Muñoz-Ortiz, Alberto, et al.
Published: (2023)

The Meta-Prompting Protocol: Orchestrating LLMs via Adversarial Feedback Loops
by: Fu, Fanzhe
Published: (2025)

Improving Recursive Transformers with Mixture of LoRAs
by: Nouriborji, Mohammadmahdi, et al.
Published: (2025)

Evaluating Named Entity Recognition: A comparative analysis of mono- and multilingual transformer models on a novel Brazilian corporate earnings call transcripts dataset
by: Abilio, Ramon, et al.
Published: (2024)

Parameter-Efficient Transformer Embeddings
by: Ndubuaku, Henry, et al.
Published: (2025)

Clinical information extraction for Low-resource languages with Few-shot learning using Pre-trained language models and Prompting
by: Richter-Pechanski, Phillip, et al.
Published: (2024)

Empirical analysis of binding precedent efficiency in Brazilian Supreme Court via case classification
by: Tinarrage, Raphaël, et al.
Published: (2024)

Multi-Model Synthetic Training for Mission-Critical Small Language Models
by: Platt, Nolan, et al.
Published: (2025)

Retrieval-augmented code completion for local projects using large language models
by: Hostnik, Marko, et al.
Published: (2024)

Nested Named Entity Recognition as Single-Pass Sequence Labeling
by: Muñoz-Ortiz, Alberto, et al.
Published: (2025)

Evaluating AI Grading on Real-World Handwritten College Mathematics: A Large-Scale Study Toward a Benchmark
by: Yu, Zhiqi, et al.
Published: (2026)

Mechanistic Analysis of Catastrophic Forgetting in Large Language Models During Continual Fine-tuning
by: Imanov, Olaf Yunus Laitinen
Published: (2026)

Latent Object Permanence: Topological Phase Transitions, Free-Energy Principles, and Renormalization Group Flows in Deep Transformer Manifolds
by: Alpay, Faruk, et al.
Published: (2026)

Strategic Doctrine Language Models (sdLM): A Learning-System Framework for Doctrinal Consistency and Geopolitical Forecasting
by: Imanov, Olaf Yunus Laitinen, et al.
Published: (2026)