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Found 5 papers, 2 papers with code
Unintended Impacts of LLM Alignment on Global Representation
Before being deployed for user-facing applications, developers align Large Language Models (LLMs) to user preferences through a variety of procedures, such as Reinforcement Learning From Human Feedback (RLHF) and Direct Preference Optimization (DPO).
Revisiting non-English Text Simplification: A Unified Multilingual Benchmark
However, less work has been done on multilingual text simplification due to the lack of a diverse evaluation benchmark that covers complex-simple sentence pairs in many languages.
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Text Simplification
on WikiLargeFR
ReadMe++: Benchmarking Multilingual Language Models for Multi-Domain Readability Assessment
We present a systematic study and comprehensive evaluation of large language models for automatic multilingual readability assessment.
Having Beer after Prayer? Measuring Cultural Bias in Large Language Models
In this paper, we show that multilingual and Arabic monolingual LMs exhibit bias towards entities associated with Western culture.
Single Image Internal Distribution Measurement Using Non-Local Variational Autoencoder
To harvest maximum details for various receptive regions and high-quality synthetic images, \texttt{NLVAE} is introduced as a self-supervised strategy that reconstructs high-resolution images using disentangled information from the non-local neighbourhood.
