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KAUST · March 5, 2023

Summary

The provided content mentions KAUST (King Abdullah University of Science and Technology) and its association with King Abdullah bin Abdulaziz Al Saud. It also includes a copyright notice. Why it matters: This is a routine update reflecting KAUST's branding and legal information.

Keywords

KAUST · King Abdullah · Copyright · University · Saudi Arabia

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LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language Models

arXiv · Oct 7

The paper introduces LLMEffiChecker, a tool to test the computational efficiency robustness of LLMs by identifying vulnerabilities that can significantly degrade performance. LLMEffiChecker uses both white-box (gradient-guided perturbation) and black-box (causal inference-based perturbation) methods to delay the generation of the end-of-sequence token. Experiments on nine public LLMs demonstrate that LLMEffiChecker can substantially increase response latency and energy consumption with minimal input perturbations.

AI Seminar Series: Kajetan Schweighofer

TII · Mar 17

The Technology Innovation Institute (TII) is hosting an AI seminar by Kajetan Schweighofer on October 28, 2025, from 11:00 AM to 12:00 PM GST. TII describes itself as a global research center focused on discovery science and transformative technologies. The seminar series is part of TII's efforts to share its developments and research. Why it matters: Such seminars contribute to the growth of the AI ecosystem in the UAE by facilitating knowledge sharing and collaboration.

InfiAgent: A Multi-Tool Agent for AI Operating Systems

MBZUAI · Invalid Date

InfiAgent is a new agent framework comparable to GPT4-Agent, developed by replicating Codex. It includes InfiCoder, an open-source model for text-to-code, code-to-code, and freeform code-related QA tasks. The framework focuses on data analysis and integrates an LLM with programming capabilities and a sandbox environment for executing Python code. Why it matters: This research demonstrates the potential for advancements in AI operating systems and highlights areas where current models like GPT-4V can be improved, contributing to the broader development of more capable and versatile AI agents.