Cover Image

SynDARin: Synthesising Datasets for Automated Reasoning in Low-Resource Languages

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Ghazaryan, Gayane, Arakelyan, Erik, Minervini, Pasquale, Augenstein, Isabelle
Format:	Preprint
Published:	2024
Subjects:	Computation and Language Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FLARE: Faithful Logic-Aided Reasoning and Exploration
by: Arakelyan, Erik, et al.
Published: (2024)

Semantic Sensitivities and Inconsistent Predictions: Measuring the Fragility of NLI Models
by: Arakelyan, Erik, et al.
Published: (2024)

Reasoning Inconsistencies and How to Mitigate Them in Deep Learning
by: Arakelyan, Erik
Published: (2025)

With Great Backbones Comes Great Adversarial Transferability
by: Arakelyan, Erik, et al.
Published: (2025)

Misaligned by Reward: Socially Undesirable Preferences in LLMs
by: Ghazaryan, Gayane, et al.
Published: (2026)

Probing the Emergence of Cross-lingual Alignment during LLM Training
by: Wang, Hetong, et al.
Published: (2024)

Stress Testing Factual Consistency Metrics for Long-Document Summarization
by: Mujahid, Zain Muhammad, et al.
Published: (2025)

Multi-Step Knowledge Interaction Analysis via Rank-2 Subspace Disentanglement
by: Islam, Sekh Mainul, et al.
Published: (2025)

Investigating the Interplay between Contextual and Parametric Chain-of-Thought Faithfulness under Optimization
by: Sun, Jingyi, et al.
Published: (2026)

Mixtures of In-Context Learners
by: Hong, Giwon, et al.
Published: (2024)

MURI: High-Quality Instruction Tuning Datasets for Low-Resource Languages via Reverse Instructions
by: Köksal, Abdullatif, et al.
Published: (2024)

Evaluating Fine-Tuned LLM Model For Medical Transcription With Small Low-Resource Languages Validated Dataset
by: Chowdhury, Mohammed Nowshad Ruhani, et al.
Published: (2026)

Low-Rank Compression of Language Models via Differentiable Rank Selection
by: Sundrani, Sidhant, et al.
Published: (2025)

BiasGym: A Simple and Generalizable Framework for Analyzing and Removing Biases through Elicitation
by: Islam, Sekh Mainul, et al.
Published: (2025)

MedSyn: Enhancing Diagnostics with Human-AI Collaboration
by: Sayin, Burcu, et al.
Published: (2025)

Emotion Classification in Low and Moderate Resource Languages
by: Tafreshi, Shabnam, et al.
Published: (2024)

Kakugo: Distillation of Low-Resource Languages into Small Language Models
by: Devine, Peter, et al.
Published: (2026)

Dependency Parsing Across the Resource Spectrum: Evaluating Architectures on High and Low-Resource Languages
by: Guan, Kevin, et al.
Published: (2026)

Investigating the Transferability of Code Repair for Low-Resource Programming Languages
by: Wong, Kyle, et al.
Published: (2024)

Large Multimodal Models for Low-Resource Languages: A Survey
by: Lupascu, Marian, et al.
Published: (2025)

Small Language Models for Privacy-Preserving Clinical Information Extraction in Low-Resource Languages
by: Ghaffarzadeh-Esfahani, Mohammadreza, et al.
Published: (2026)

BhashaSetu: Cross-Lingual Knowledge Transfer from High-Resource to Extreme Low-Resource Languages
by: Maji, Subhadip, et al.
Published: (2026)

Generalizable and Stable Finetuning of Pretrained Language Models on Low-Resource Texts
by: Somayajula, Sai Ashish, et al.
Published: (2024)

IndiText Boost: Text Augmentation for Low Resource India Languages
by: Litake, Onkar, et al.
Published: (2024)

Contrastive Decoding for Synthetic Data Generation in Low-Resource Language Modeling
by: Ulm, Jannek, et al.
Published: (2025)

Plan Optimization to Bilingual Dictionary Induction for Low-Resource Language Families
by: Nasution, Arbi Haza, et al.
Published: (2020)

ConLID: Supervised Contrastive Learning for Low-Resource Language Identification
by: Foroutan, Negar, et al.
Published: (2025)

Language Ranker: A Metric for Quantifying LLM Performance Across High and Low-Resource Languages
by: Li, Zihao, et al.
Published: (2024)

Few-Shot Cross-Lingual Transfer for Prompting Large Language Models in Low-Resource Languages
by: Toukmaji, Christopher
Published: (2024)

When Every Token Counts: Optimal Segmentation for Low-Resource Language Models
by: Raj, Bharath, et al.
Published: (2024)

Looking to Learn: Token-wise Dynamic Gating for Low-Resource Vision-Language Modelling
by: Ganescu, Bianca-Mihaela, et al.
Published: (2025)

AI-Generated Text Detection in Low-Resource Languages: A Case Study on Urdu
by: Ammar, Muhammad, et al.
Published: (2025)

GHaLIB: A Multilingual Framework for Hope Speech Detection in Low-Resource Languages
by: Abdullah, Ahmed, et al.
Published: (2025)

Reducing Large Language Model Bias with Emphasis on 'Restricted Industries': Automated Dataset Augmentation and Prejudice Quantification
by: Mondal, Devam, et al.
Published: (2024)

Epistemic Diversity and Knowledge Collapse in Large Language Models
by: Wright, Dustin, et al.
Published: (2025)

A Multilingual Sentiment Lexicon for Low-Resource Language Translation using Large Languages Models and Explainable AI
by: Malinga, Melusi, et al.
Published: (2024)

LexC-Gen: Generating Data for Extremely Low-Resource Languages with Large Language Models and Bilingual Lexicons
by: Yong, Zheng-Xin, et al.
Published: (2024)

Bridging the Bosphorus: Advancing Turkish Large Language Models through Strategies for Low-Resource Language Adaptation and Benchmarking
by: Acikgoz, Emre Can, et al.
Published: (2024)

mCSQA: Multilingual Commonsense Reasoning Dataset with Unified Creation Strategy by Language Models and Humans
by: Sakai, Yusuke, et al.
Published: (2024)

SLR: Automated Synthesis for Scalable Logical Reasoning
by: Helff, Lukas, et al.
Published: (2025)