Ax Aleph Alpha, :, Adnen Abdessaied, Artur Baranowski, Lukas Balles, Michael Barlow, Fabien C. Y. Benureau, Felix Berkenkamp, Lukas Bluebaum, Bastian Boll, Thomas F. Burns, Bj\"orn Deiseroth, Constantin Eichenberg, David Friede, Pablo Iyu Guerrero, Ahmed Hammam, Bastian Harren, Johann Higl, Yasser Jadidi, Carina Kauf, Johannes Messner, Jan Hendrik Metzen, Max Meuer, Vedant Nanda, Pit Neitemeier, Koen Oostermeijer, Letitia Parcalabescu, Markus Pernpointner, Felix Reinfurt, Dylan Rodriquez, Gr\'egory Schott, Philipp Siedler, Martin Simonovsky, Till Speicher, Volker Stampa, Stephan W\"aldchen, Samuel Weinbach, Gregor Ziegltrum 3/18/2026

A Family of LLMs Liberated from Static Vocabularies

arXiv: LLM family with dynamic tokenizers eliminating fixed vocabulary constraints, up to 70B parameters, improved domain/language adaptation.

Ax Hanxian Huang, Igor Fedorov, Andrey Gromov, Bernard Beckerman, Naveen Suda, David Eriksson, Maximilian Balandat, Rylan Conway, Patrick Huber, Chinnadhurai Sankar, Ayushi Dalmia, Zechun Liu, Lemeng Wu, Tarek Elgamal, Adithya Sagar, Vikas Chandra, Raghuraman Krishnamoorthi 3/18/2026

MobileLLM-Flash: Latency-Guided On-Device LLM Design for Industry Scale

MobileLLM-Flash methodology designs on-device LLMs optimized for latency constraints using hardware-in-the-loop architecture search.

Ax Callen MacPhee, Yiming Zhou, Koichiro Kishima, Bahram Jalali 3/18/2026

Standardizing Medical Images at Scale for AI

Physics-based preprocessing framework standardizes heterogeneous medical images at scale for improved model generalization.

Ax Atharva Sehgal, James Hou, Akanksha Sarkar, Ishaan Mantripragada, Swarat Chaudhuri, Jennifer J. Sun, Yisong Yue 3/18/2026

Evaluating Agentic Optimization on Large Codebases

FormulaCode benchmark evaluates LLM coding agents on repository-level codebase optimization with realistic multi-objective constraints.

Ax Yuanhe Zhang, Xinyue Wang, Zhican Chen, Weiliu Wang, Zilu Zhang, Zhengshuo Gong, Zhenhong Zhou, Li Sun, Yang Liu, Sen Su 3/18/2026

Resource Consumption Threats in Large Language Models

Survey of resource consumption threats in LLMs including excessive generation, covering efficiency challenges for providers and users.

Ax Jaechang Kim, Yotaro Shimose, Zhao Wang, Kuang-Da Wang, Jungseul Ok, Shingo Takamatsu 3/18/2026

Visual Prompt Discovery via Semantic Exploration

Visual prompt discovery method to diagnose and mitigate LVLM perception failures through semantic exploration.

Ax Joao Manoel Herrera Pinheiro, Gabriela Do Nascimento Herrera, Alvaro Doria Dos Santos, Luciana Bueno Dos Reis Fernandes, Ricardo V. Godoy, Eduardo A. B. Almeida, Helena Carolina Onody, Marcelo Andrade Da Costa Vieira, Angelica Maria Penteado-Dias, Marcelo Becker 3/18/2026

Automated identification of Ichneumonoidea wasps via YOLO-based deep learning: Integrating HiresCam for Explainable AI

YOLO-based deep learning for automated wasp identification with explainable AI integration for taxonomic classification.

Ax FANAR TEAM, Ummar Abbas, Mohammad Shahmeer Ahmad, Minhaj Ahmad, Abdulaziz Al-Homaid, Anas Al-Nuaimi, Enes Altinisik, Ehsaneddin Asgari, Sanjay Chawla, Shammur Chowdhury, Fahim Dalvi, Kareem Darwish, Nadir Durrani, Mohamed Elfeky, Ahmed Elmagarmid, Mohamed Eltabakh, Asim Ersoy, Masoomali Fatehkia, Mohammed Qusay Hashim, Majd Hawasly, Mohamed Hefeeda, Mus'ab Husaini, Keivin Isufaj, Soon-Gyo Jung, Houssam Lachemat, Ji Kim Lucas, Abubakr Mohamed, Tasnim Mohiuddin, Basel Mousi, Hamdy Mubarak, Ahmad Musleh, Mourad Ouzzani, Amin Sadeghi, Husrev Taha Sencar, Mohammed Shinoy, Omar Sinan, Yifan Zhang 3/18/2026

Fanar 2.0: Arabic Generative AI Stack

Fanar 2.0 Arabic generative AI platform built on 256 H100 GPUs at QCRI with sovereign infrastructure and data pipelines.