1 citations · 2 across the 5 of their papers we have counts for
6 papers · 1 filter
Through the LLM Looking Glass: A Socratic Probing of Donkeys, Elephants, and Markets
Molly Kennedy, Ayyoob Imani, Timo Spinde +2
Large Language Models (LLMs) are widely used for text generation, making it crucial to address potential bias. This study investigates ideological framing bias in LLM-generated art…
MURI: High-Quality Instruction Tuning Datasets for Low-Resource Languages via Reverse Instructions
Abdullatif Köksal, Marion Thaler, Ayyoob Imani +3
Instruction tuning enhances large language models (LLMs) by aligning them with human preferences across diverse tasks. Traditional approaches to create instruction tuning datasets…
How Transliterations Improve Crosslingual Alignment
Yihong Liu, Mingyang Wang, Amir Hossein Kargaran +6
Recent studies have shown that post-aligning multilingual pretrained language models (mPLMs) using alignment objectives on both original and transliterated data can improve crossli…
Graph-Based Multilingual Label Propagation for Low-Resource Part-of-Speech Tagging
Ayyoob Imani, Silvia Severini, Masoud Jalili Sabet +2
Part-of-Speech (POS) tagging is an important component of the NLP pipeline, but many low-resource languages lack labeled data for training. An established method for training a POS…
Graph Algorithms for Multiparallel Word Alignment
Ayyoob Imani, Masoud Jalili Sabet, Lütfi Kerem Şenel +3
With the advent of end-to-end deep learning approaches in machine translation, interest in word alignments initially decreased; however, they have again become a focus of research…
ParCourE: A Parallel Corpus Explorer for a Massively Multilingual Corpus
Ayyoob Imani, Masoud Jalili Sabet, Philipp Dufter +2
With more than 7000 languages worldwide, multilingual natural language processing (NLP) is essential both from an academic and commercial perspective. Researching typological prope…