Author

Tarek Naous

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#natural language process... Preprint Oct 2026

Training User Simulators with Latent Intrinsic Feedback

User simulators are gaining attention as environments to train LLM assistants that can better cope with the nuances of multi-turn conversations with real users. Prior work on user simulation has emphasized generating realistic user utterances, leaving unexplored their potential as a source of direct feedback on the ass...

Tarek Naous, C. Boutilier, Wei Xu et al. · 0 citations

#natural language process... Oct 2025

Camellia: Benchmarking Cultural Biases in LLMs for Asian Languages

Camellia is introduced, a benchmark for evaluating entity-centric cultural biases in nine Asian languages, spanning six Asian cultures, and it is found that LLMs can struggle with context understanding in some Asian languages, creating performance gaps between cultures in entity extraction.

Tarek Naous, Anagha Savit, Carlos Rafael Catalan et al. · arXiv.org · 2 citations · ⚡1