Cover Image

Fine-tuning Transformer-based Encoder for Turkish Language Understanding Tasks

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Yildirim, Savas
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Multi-Task Pre-Finetuning of Lightweight Transformer Encoders for Text Classification and NER
by: Zhu, Junyi, et al.
Published: (2025)

Progtuning: Progressive Fine-tuning Framework for Transformer-based Language Models
by: Ji, Xiaoshuang, et al.
Published: (2025)

TURNA: A Turkish Encoder-Decoder Language Model for Enhanced Understanding and Generation
by: Uludoğan, Gökçe, et al.
Published: (2024)

Fine-tuning vs Prompting, Can Language Models Understand Human Values?
by: Sun, Pingwei
Published: (2024)

Federated Fine-tuning of Large Language Models under Heterogeneous Tasks and Client Resources
by: Bai, Jiamu, et al.
Published: (2024)

Language Models are Homer Simpson! Safety Re-Alignment of Fine-tuned Language Models through Task Arithmetic
by: Bhardwaj, Rishabh, et al.
Published: (2024)

SC-Phi2: A Fine-tuned Small Language Model for StarCraft II Macromanagement Tasks
by: Khan, Muhammad Junaid, et al.
Published: (2024)

AI Generated Text Detection Using Instruction Fine-tuned Large Language and Transformer-Based Models
by: Guggilla, Chinnappa, et al.
Published: (2025)

Semi-supervised Fine-tuning for Large Language Models
by: Luo, Junyu, et al.
Published: (2024)

Sensitivity of Small Language Models to Fine-tuning Data Contamination
by: Scaria, Nicy, et al.
Published: (2025)

Knowledge AI: Fine-tuning NLP Models for Facilitating Scientific Knowledge Extraction and Understanding
by: Muralidharan, Balaji, et al.
Published: (2024)

Panacea: Mitigating Harmful Fine-tuning for Large Language Models via Post-fine-tuning Perturbation
by: Wang, Yibo, et al.
Published: (2025)

Layer-Wise Evolution of Representations in Fine-Tuned Transformers: Insights from Sparse AutoEncoders
by: Nadipalli, Suneel
Published: (2025)

Evaluating Spatial Understanding of Large Language Models
by: Yamada, Yutaro, et al.
Published: (2023)

KnowTuning: Knowledge-aware Fine-tuning for Large Language Models
by: Lyu, Yougang, et al.
Published: (2024)

JudgeLM: Fine-tuned Large Language Models are Scalable Judges
by: Zhu, Lianghui, et al.
Published: (2023)

Dhati+: Fine-tuned Large Language Models for Arabic Subjectivity Evaluation
by: Bellaouar, Slimane, et al.
Published: (2025)

Compositional Subspace Representation Fine-tuning for Adaptive Large Language Models
by: Zhou, Andy
Published: (2025)

You Only Fine-tune Once: Many-Shot In-Context Fine-Tuning for Large Language Models
by: He, Wenchong, et al.
Published: (2025)

Exploring Memorization in Fine-tuned Language Models
by: Zeng, Shenglai, et al.
Published: (2023)

Normalization through Fine-tuning: Understanding Wav2vec 2.0 Embeddings for Phonetic Analysis
by: Wang, Yiming, et al.
Published: (2025)

Prompting or Fine-tuning? Exploring Large Language Models for Causal Graph Validation
by: Susanti, Yuni, et al.
Published: (2024)

Comparing Explanation Faithfulness between Multilingual and Monolingual Fine-tuned Language Models
by: Zhao, Zhixue, et al.
Published: (2024)

On Active Privacy Auditing in Supervised Fine-tuning for White-Box Language Models
by: Sun, Qian, et al.
Published: (2024)

Systematic Analysis for Pretrained Language Model Priming for Parameter-Efficient Fine-tuning
by: Huang, Shih-Cheng, et al.
Published: (2022)

A Fine-tuning Dataset and Benchmark for Large Language Models for Protein Understanding
by: Shen, Yiqing, et al.
Published: (2024)

The Importance of Online Data: Understanding Preference Fine-tuning via Coverage
by: Song, Yuda, et al.
Published: (2024)

Plug-in and Fine-tuning: Bridging the Gap between Small Language Models and Large Language Models
by: Kim, Kyeonghyun, et al.
Published: (2025)

Small Language Models Fine-tuned to Coordinate Larger Language Models improve Complex Reasoning
by: Juneja, Gurusha, et al.
Published: (2023)

Improving Semantic Understanding in Speech Language Models via Brain-tuning
by: Moussa, Omer, et al.
Published: (2024)

KInIT at SemEval-2024 Task 8: Fine-tuned LLMs for Multilingual Machine-Generated Text Detection
by: Spiegel, Michal, et al.
Published: (2024)

Information Guided Regularization for Fine-tuning Language Models
by: Sharma, Mandar, et al.
Published: (2024)

Fine-tuned Large Language Models (LLMs): Improved Prompt Injection Attacks Detection
by: Rahman, Md Abdur, et al.
Published: (2024)

Multi-Party Supervised Fine-tuning of Language Models for Multi-Party Dialogue Generation
by: Wang, Xiaoyu, et al.
Published: (2024)

SPAFIT: Stratified Progressive Adaptation Fine-tuning for Pre-trained Large Language Models
by: Arora, Samir, et al.
Published: (2024)

Window-based Membership Inference Attacks Against Fine-tuned Large Language Models
by: Chen, Yuetian, et al.
Published: (2026)

Fine-tuning Language Models for Recipe Generation: A Comparative Analysis and Benchmark Study
by: Vij, Anneketh, et al.
Published: (2025)

Introducing TrGLUE and SentiTurca: A Comprehensive Benchmark for Turkish General Language Understanding and Sentiment Analysis
by: Altinok, Duygu
Published: (2025)

Transformer Copilot: Learning from The Mistake Log in LLM Fine-tuning
by: Zou, Jiaru, et al.
Published: (2025)

Quasi-symbolic Semantic Geometry over Transformer-based Variational AutoEncoder
by: Zhang, Yingji, et al.
Published: (2022)