Ax Stefano Woerner, Seong Joon Oh, Christian F. Baumgartner 2/17/2026

Universal Algorithm-Implicit Learning

Theoretical framework for meta-learning defining practical universality and distinguishing algorithm-implicit learning approaches.

Ax Qingqing Zhu, Qiao Jin, Tejas S. Mathai, Yin Fang, Zhizheng Wang, Yifan Yang, Maame Sarfo-Gyamfi, Benjamin Hou, Ran Gu, Praveen T. S. Balamuralikrishna, Kenneth C. Wang, Ronald M. Summers, Zhiyong Lu 2/17/2026

CT-Bench: A Benchmark for Multimodal Lesion Understanding in Computed Tomography

CT-Bench multimodal dataset with 20,335 lesions from CT studies for training AI models on lesion understanding and report generation.

Ax Fiorenzo Parascandolo, Wenhui Tan, Enver Sangineto, Ruihua Song, Rita Cucchiara 2/17/2026

BFS-PO: Best-First Search for Large Reasoning Models

BFS-PO RL algorithm optimizes inference efficiency in large reasoning models by reducing overthinking and computational costs.

Ax Sviatoslav Lushnei, Dmytro Shumskyi, Severyn Shykula, Ernesto Jimenez-Ruiz, Artur d'Avila Garcez 2/17/2026

Large Language Models as Oracles for Ontology Alignment

Using LLMs as oracles for ontology alignment with human-in-the-loop approaches to improve mapping quality for large ontologies.

Ax Caorui Li, Yu Chen, Yiyan Ji, Jin Xu, Zhenyu Cui, Shihao Li, Yuanxing Zhang, Wentao Wang, Zhenghao Song, Dingling Zhang, Ying He, Haoxiang Liu, Yuxuan Wang, Qiufeng Wang, Jiafu Tang, Zhenhe Wu, Jiehui Luo, Zhiyu Pan, Weihao Xie, Chenchen Zhang, Zhaohui Wang, Jiayi Tian, Yanghai Wang, Zhe Cao, Minxin Dai, Ke Wang, Runzhe Wen, Yinghao Ma, Yaning Pan, Sungkyun Chang, Termeh Taheri, Haiwen Xia, Christos Plachouras, Emmanouil Benetos, Yizhi Li, Ge Zhang, Jian Yang, Tianhao Peng, Zili Wang, Minghao Liu, Junran Peng, Zhaoxiang Zhang, Jiaheng Liu 2/17/2026

OmniVideoBench: Towards Audio-Visual Understanding Evaluation for Omni MLLMs

OmniVideoBench: evaluation benchmark for multimodal LLMs on audio-visual understanding tasks with comprehensive synergistic reasoning assessment.

Ax Shiqi Zhang, Xinbei Ma, Yunqing Xu, Zouying Cao, Pengrui Lu, Haobo Yuan, Tiancheng Shen, Zhuosheng Zhang, Hai Zhao, Ming-Hsuan Yang 2/17/2026

ParaCook: On Time-Efficient Planning for Multi-Agent Systems

ParaCook benchmark for evaluating time-efficient collaborative planning in multi-agent systems using LLMs for long-horizon reasoning.

Ax Minwei Kong, Ao Qu, Xiaotong Guo, Wenbin Ouyang, Chonghe Jiang, Han Zheng, Yining Ma, Dingyi Zhuang, Yuhan Tang, Junyi Li, Shenhao Wang, Haris Koutsopoulos, Hai Wang, Cathy Wu, Jinhua Zhao 2/17/2026

AlphaOPT: Formulating Optimization Programs with Self-Improving LLM Experience Library

AlphaOPT uses LLMs with self-improving experience libraries to automate optimization problem formulation from natural language into mathematical models and solver code.

Ax Ricardo Vinuesa, Steven L. Brunton, Gianmarco Mengaldo 2/17/2026

Explainable AI: Learning from the Learners

Perspective on explainable AI combined with causal reasoning for extracting insights from foundation models.