Evaluating Open-Weight LLMs for Turkish Domain Documents Under Retrieval and Hardware Constraints

arXiv:2609.28007 · cs.CL, cs.IR, cs.LG · Submitted 2026-09-23 · Read on arXiv

cs.CL, cs.IR, cs.LG

Submitted: 2026-09-23

Updated: 2026-09-23

Comments: 6

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Accuracy — 26× in this paper · explained in 1 episode
• Abstention — 14× in this paper · explained in 1 episode
• Benchmark — 14× in this paper · explained in 2 episodes
• Failure Modes — 2× in this paper · explained in 3 episodes
• Robustness — 2× in this paper · explained in 5 episodes
• Adaptation — 1× in this paper · explained in 1 episode
• Core — 1× in this paper · explained in 2 episodes
• Cosine Similarity — 1× in this paper · explained in 3 episodes
• Grounding — 1× in this paper · explained in 3 episodes
• Large Language Models (LLMs) — 1× in this paper · explained in 6 episodes

Sources

• Setting Standards in Turkish NLP: TR-MMLU for Large Language Model Evaluation
• T\"urk\c{c}e Dil Modellerinin Performans Kar\c{s}{\i}la\c{s}t{\i}rmas{\i} Performance Comparison of Turkish Language Models
• Qwen2.5 Technical Report
• Mistral 7B
• The Llama 3 Herd of Models

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