Meta-Adapters: Parameter Efficient Few-shot Fine-tuning through Meta-Learning. - Trapit Bansal; Salaheddin Alzubi; Tong Wang 012; Jay-Yoon Lee; Andrew McCallum (AutoML, 2022)

Foundational Autoraters: Taming Large Language Models for Better Automatic Evaluation. - Tu Vu; Kalpesh Krishna; Salaheddin Alzubi; Chris Tar; Manaal Faruqui; Yun-Hsuan Sung (EMNLP, 2024)

Open Deep Search: Democratizing Search with Open-source Reasoning Agents. - Salaheddin Alzubi; Creston Brooks; Purva Chiniya; Edoardo Contente; Chiara von Gerlach; Lucas Irwin; Yihan Jiang; Arda Kaz; Windsor Nguyen; Sewoong Oh; Himanshu Tyagi; Pramod Viswanath (CoRR, 2025)