most citedKazMMLU: Evaluating Language Models on Kazakh, Russian, and Regional Knowledge of Kazakhstan

1 citations · 3 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2026

Jais 2: A Family of Arabic-Centric Open Large Language Models

Mohamed Anwar, Abed Alhakim Freihat, George Ibrahim +57

Jais 2 is a family of Arabic-centric large language models developed jointly by MBZUAI, Cerebras, and Inception, designed to advance Arabic-centric language modeling, with strong p…

cs.CL2026

Multilingual Idioms in Sentences and Conversations Across High-, Medium-, and Low-Resource Languages

Saeed Almheiri, Bilal Elbouardi, Salsabila Zahirah Pranida +16

Idiomatic expressions pose a major challenge for multilingual NLP because their meanings shift between figurative and literal usage, often requiring context for accurate interpreta…

cs.CL2026

Sycophancy Hides Linearly in the Attention Heads

Rifo Genadi, Munachiso Nwadike, Nurdaulet Mukhituly +3

We find that correct-to-incorrect sycophancy signals are most linearly separable within multi-head attention activations. Motivated by the linear representation hypothesis, we trai…

eess.AS2025

SPIRIT: Patching Speech Language Models against Jailbreak Attacks

Amirbek Djanibekov, Nurdaulet Mukhituly, Kentaro Inui +2

Speech Language Models (SLMs) enable natural interactions via spoken instructions, which more effectively capture user intent by detecting nuances in speech. The richer speech sign…

cs.CL2025★ 1 cited

Sherkala-Chat: Building a State-of-the-Art LLM for Kazakh in a Moderately Resourced Setting

Fajri Koto, Rituraj Joshi, Nurdaulet Mukhituly +31

Llama-3.1-Sherkala-8B-Chat, or Sherkala-Chat (8B) for short, is a state-of-the-art instruction-tuned open generative large language model (LLM) designed for Kazakh. Sherkala-Chat (…

cs.CL2025★ 1 cited

Qorgau: Evaluating LLM Safety in Kazakh-Russian Bilingual Contexts

Maiya Goloburda, Nurkhan Laiyk, Diana Turmakhan +11

Large language models (LLMs) are known to have the potential to generate harmful content, posing risks to users. While significant progress has been made in developing taxonomies f…

cs.CL2025★ 1 cited

KazMMLU: Evaluating Language Models on Kazakh, Russian, and Regional Knowledge of Kazakhstan

Mukhammed Togmanov, Nurdaulet Mukhituly, Diana Turmakhan +11

Despite having a population of twenty million, Kazakhstan's culture and language remain underrepresented in the field of natural language processing. Although large language models…