Image de couverture de livre

Building a Strong Instruction Language Model for a Less-Resourced Language

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Vreš, Domen, Arčon, Tjaša, Petrič, Timotej, Vajda, Dario, Robnik-Šikonja, Marko, Bajec, Iztok Lebar
Format:	Preprint
Publié:	2026
Sujets:	Computation and Language Machine Learning
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Improving LLMs for Machine Translation Using Synthetic Preference Data
par: Vajda, Dario, et autres
Publié: (2025)

Generative Model for Less-Resourced Language with 1 billion parameters
par: Vreš, Domen, et autres
Publié: (2024)

Sarcasm Detection in a Less-Resourced Language
par: Đoković, Lazar, et autres
Publié: (2024)

Evaluating Metalinguistic Knowledge in Large Language Models across the World's Languages
par: Arčon, Tjaša, et autres
Publié: (2026)

Large language models for folktale type automation based on motifs: Cinderella case study
par: Arčon, Tjaša, et autres
Publié: (2025)

Towards Corpus-Grounded Agentic LLMs for Multilingual Grammatical Analysis
par: Klemen, Matej, et autres
Publié: (2025)

Measuring Catastrophic Forgetting in Cross-Lingual Transfer Paradigms: Exploring Tuning Strategies
par: Koloski, Boshko, et autres
Publié: (2023)

TT-XAI: Trustworthy Clinical Text Explanations via Keyword Distillation and LLM Reasoning
par: Miok, Kristian, et autres
Publié: (2025)

Incremental Graph Construction Enables Robust Spectral Clustering of Texts
par: Pranjić, Marko, et autres
Publié: (2026)

Retrieval-augmented code completion for local projects using large language models
par: Hostnik, Marko, et autres
Publié: (2024)

Review of Natural Language Processing in Pharmacology
par: Trajanov, Dimitar, et autres
Publié: (2022)

Solving Word-Sense Disambiguation and Word-Sense Induction with Dictionary Examples
par: Škvorc, Tadej, et autres
Publié: (2025)

QFS-Composer: Query-focused summarization pipeline for less resourced languages
par: Đuranović, Vuk, et autres
Publié: (2026)

Teaching LLMs to See Graphs: Unifying Text and Structural Reasoning
par: Vajda, Dario
Publié: (2026)

Real-time News Story Identification
par: Škvorc, Tadej, et autres
Publié: (2025)

Challenges in Explaining Pretrained Clinical Text Classifiers
par: Miok, Kristian, et autres
Publié: (2026)

Are Compressed Language Models Less Subgroup Robust?
par: Gee, Leonidas, et autres
Publié: (2024)

Neural spell-checker: Beyond words with synthetic data generation
par: Klemen, Matej, et autres
Publié: (2024)

LEGO: Language Model Building Blocks
par: Bhansali, Shrenik, et autres
Publié: (2024)

Less is KEN: a Universal and Simple Non-Parametric Pruning Algorithm for Large Language Models
par: Mastromattei, Michele, et autres
Publié: (2024)

Pay Less Attention to Function Words for Free Robustness of Vision-Language Models
par: Tian, Qiwei, et autres
Publié: (2025)

Less Diverse, Less Safe: The Indirect But Pervasive Risk of Test-Time Scaling in Large Language Models
par: Nahin, Shahriar Kabir, et autres
Publié: (2025)

Less but Better: Parameter-Efficient Fine-Tuning of Large Language Models for Personality Detection
par: Shen, Lingzhi, et autres
Publié: (2025)

MURI: High-Quality Instruction Tuning Datasets for Low-Resource Languages via Reverse Instructions
par: Köksal, Abdullatif, et autres
Publié: (2024)

Less is More: Local Intrinsic Dimensions of Contextual Language Models
par: Ruppik, Benjamin Matthias, et autres
Publié: (2025)

Evaluating Large Language Models at Evaluating Instruction Following
par: Zeng, Zhiyuan, et autres
Publié: (2023)

Compositional Instruction Following with Language Models and Reinforcement Learning
par: Cohen, Vanya, et autres
Publié: (2025)

Shuttle Between the Instructions and the Parameters of Large Language Models
par: Sun, Wangtao, et autres
Publié: (2025)

KInITVeraAI at SemEval-2023 Task 3: Simple yet Powerful Multilingual Fine-Tuning for Persuasion Techniques Detection
par: Hromadka, Timo, et autres
Publié: (2023)

Learning Instruction-Following Policies through Open-Ended Instruction Relabeling with Large Language Models
par: Zhang, Zhicheng, et autres
Publié: (2025)

Zero-to-Strong Generalization: Eliciting Strong Capabilities of Large Language Models Iteratively without Gold Labels
par: Liu, Chaoqun, et autres
Publié: (2024)

Investigating the Multilingual Calibration Effects of Language Model Instruction-Tuning
par: Huang, Jerry, et autres
Publié: (2026)

Instruction Mining: Instruction Data Selection for Tuning Large Language Models
par: Cao, Yihan, et autres
Publié: (2023)

Self-Play Fine-Tuning Converts Weak Language Models to Strong Language Models
par: Chen, Zixiang, et autres
Publié: (2024)

AF Adapter: Continual Pretraining for Building Chinese Biomedical Language Model
par: Yan, Yongyu, et autres
Publié: (2022)

On the Generalizability of "Competition of Mechanisms: Tracing How Language Models Handle Facts and Counterfactuals"
par: Dotsinski, Asen, et autres
Publié: (2025)

Large Language Models for Math Education in Low-Resource Languages: A Study in Sinhala and Tamil
par: Kishanthan, Sukumar, et autres
Publié: (2026)

Large Language Models can be Strong Self-Detoxifiers
par: Ko, Ching-Yun, et autres
Publié: (2024)

Generalizing Large Language Model Usability Across Resource-Constrained
par: Tsai, Yun-Da
Publié: (2025)

Kakugo: Distillation of Low-Resource Languages into Small Language Models
par: Devine, Peter, et autres
Publié: (2026)