activity
20242026
most citedSherkala-Chat: Building a State-of-the-Art LLM for Kazakh in a Moderately Resourced Setting

1 citations · 2 across the 6 of their papers we have counts for

collaborators

6 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.AI2026

Intelligence Impact Quotient (IIQ): A Framework for Measuring Organizational AI Impact

Chandan Rajah, Neha Sengupta, Federico Castanedo +4

The Intelligence Impact Quotient (IIQ) is a composite metric intended to quantify the depth to which AI systems are integrated into organizational work and their impact. Rather tha…

cs.AI2026

Nomad: Autonomous Exploration and Discovery

Bokang Jia, Samta Kamboj, Satheesh Katipomu +3

We introduce Nomad, a system for autonomous data exploration and insight discovery. Given a corpus of documents, databases, or other data sources, users rarely know the full set of…

cs.CL2025

Llama-3-Nanda-10B-Chat: An Open Generative Large Language Model for Hindi

Monojit Choudhury, Shivam Chauhan, Rocktim Jyoti Das +27

Developing high-quality large language models (LLMs) for moderately resourced languages presents unique challenges in data availability, model adaptation, and evaluation. We introd…

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.CL2024★ 1 cited

ArabicMMLU: Assessing Massive Multitask Language Understanding in Arabic

Fajri Koto, Haonan Li, Sara Shatnawi +10

The focus of language model evaluation has transitioned towards reasoning and knowledge-intensive tasks, driven by advancements in pretraining large models. While state-of-the-art…