Image de couverture de livre

Optimization Strategies for Enhancing Resource Efficiency in Transformers & Large Language Models

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Wallace, Tom, Ezzati-Jivan, Naser, Ombuki-Berman, Beatrice
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning Computation and Language 68T50
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Evaluating Large Language Models for Public Health Classification and Extraction Tasks
par: Harris, Joshua, et autres
Publié: (2024)

Review GIDE -- Restaurant Review Gastrointestinal Illness Detection and Extraction with Large Language Models
par: Laurence, Timothy, et autres
Publié: (2025)

Cache-to-Cache: Direct Semantic Communication Between Large Language Models
par: Fu, Tianyu, et autres
Publié: (2025)

Surfing the modeling of PoS taggers in low-resource scenarios
par: Ferro, Manuel Vilares, et autres
Publié: (2024)

Pivot Language for Low-Resource Machine Translation
par: Talwar, Abhimanyu, et autres
Publié: (2025)

LawInstruct: A Resource for Studying Language Model Adaptation to the Legal Domain
par: Niklaus, Joel, et autres
Publié: (2024)

A Flexible Large Language Models Guardrail Development Methodology Applied to Off-Topic Prompt Detection
par: Chua, Gabriel, et autres
Publié: (2024)

Uncertainty Estimation and Quantification for LLMs: A Simple Supervised Approach
par: Liu, Linyu, et autres
Publié: (2024)

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

LEGAL-UQA: A Low-Resource Urdu-English Dataset for Legal Question Answering
par: Faisal, Faizan, et autres
Publié: (2024)

CausalSent: Interpretable Sentiment Classification with RieszNet
par: Frees, Daniel, et autres
Publié: (2025)

Healthy LLMs? Benchmarking LLM Knowledge of UK Government Public Health Information
par: Harris, Joshua, et autres
Publié: (2025)

Does It Make Sense to Explain a Black Box With Another Black Box?
par: Delaunay, Julien, et autres
Publié: (2024)

QuAILoRA: Quantization-Aware Initialization for LoRA
par: Lawton, Neal, et autres
Publié: (2024)

OptPO: Optimal Rollout Allocation for Test-time Policy Optimization
par: Wang, Youkang, et autres
Publié: (2025)

PolyTruth: Multilingual Disinformation Detection using Transformer-Based Language Models
par: Gouliev, Zaur, et autres
Publié: (2025)

ENIGMA: The Geometry of Reasoning and Alignment in Large-Language Models
par: Seneque, Gareth, et autres
Publié: (2025)

Fine-tuning Large Language Models for Entity Matching
par: Steiner, Aaron, et autres
Publié: (2024)

Multi-Model Synthetic Training for Mission-Critical Small Language Models
par: Platt, Nolan, et autres
Publié: (2025)

Recent Advances in Named Entity Recognition: A Comprehensive Survey and Comparative Study
par: Keraghel, Imed, et autres
Publié: (2024)

Parameter-Efficient Transformer Embeddings
par: Ndubuaku, Henry, et autres
Publié: (2025)

Large Language Models versus Classical Machine Learning: Performance in COVID-19 Mortality Prediction Using High-Dimensional Tabular Data
par: Ghaffarzadeh-Esfahani, Mohammadreza, et autres
Publié: (2024)

ABC Align: Large Language Model Alignment for Safety & Accuracy
par: Seneque, Gareth, et autres
Publié: (2024)

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

HEFT: A Coarse-to-Fine Hierarchy for Enhancing the Efficiency and Accuracy of Language Model Reasoning
par: Hill, Brennen
Publié: (2025)

Lightweight Transformers for Clinical Natural Language Processing
par: Rohanian, Omid, et autres
Publié: (2023)

DYNAMAX: Dynamic computing for Transformers and Mamba based architectures
par: Nogales, Miguel, et autres
Publié: (2025)

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

TRUE: A Trustworthy Unified Explanation Framework for Large Language Model Reasoning
par: Yang, Yujiao
Publié: (2026)

Fairness Certification for Natural Language Processing and Large Language Models
par: Freiberger, Vincent, et autres
Publié: (2024)

Template-Based Probes Are Imperfect Lenses for Counterfactual Bias Evaluation in LLMs
par: Kohankhaki, Farnaz, et autres
Publié: (2024)

Knowledge Editing for Large Language Model with Knowledge Neuronal Ensemble
par: Li, Yongchang, et autres
Publié: (2024)

A Comprehensive Survey of Small Language Models in the Era of Large Language Models: Techniques, Enhancements, Applications, Collaboration with LLMs, and Trustworthiness
par: Wang, Fali, et autres
Publié: (2024)

Clustering in pure-attention hardmax transformers and its role in sentiment analysis
par: Alcalde, Albert, et autres
Publié: (2024)

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

A Survey on Hypothesis Generation for Scientific Discovery in the Era of Large Language Models
par: Alkan, Atilla Kaan, et autres
Publié: (2025)

Fishing for Magikarp: Automatically Detecting Under-trained Tokens in Large Language Models
par: Land, Sander, et autres
Publié: (2024)

On The Role of Reasoning in the Identification of Subtle Stereotypes in Natural Language
par: Tian, Jacob-Junqi, et autres
Publié: (2023)

VisGraphVar: A Benchmark Generator for Assessing Variability in Graph Analysis Using Large Vision-Language Models
par: Sartori, Camilo Chacón, et autres
Publié: (2024)

Anonymity at Risk? Assessing Re-Identification Capabilities of Large Language Models
par: Nyffenegger, Alex, et autres
Publié: (2023)