Papers by Susan Üsküdarlı

2 papers
TimeRes: A Turkish Benchmark For Evaluating Temporal Understanding of Large Language Models (2026.eacl-srw)

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Challenge: Existing benchmarks focus on English and underexplore how linguistic structure contributes to temporal meaning.
Approach: They propose a Turkish benchmark to evaluate temporal understanding of Large Language Models (LLMs) their benchmark examines Reichenbach’s temporal points and reported speech through date arithmetic .
Outcome: The proposed model fails to resolve reported speech and fails to generalize across word order variations.
TURNA: A Turkish Encoder-Decoder Language Model for Enhanced Understanding and Generation (2024.findings-acl)

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Challenge: Recent advances in natural language processing have favored well-resourced English-centric models, resulting in a significant gap with low-resource languages.
Approach: They propose a language model for the low-resource language Turkish that is capable of both natural language understanding and generation tasks.
Outcome: The proposed model outperforms multilingual models in understanding and generation tasks and competes with monolingual models for understanding tasks.

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