Symbolic Music Generation with Transformer-GANs. - Aashiq Muhamed; Liang Li; Xingjian Shi; Suri Yaddanapudi; Wayne Chi; Dylan Jackson; Rahul Suresh; Zachary C. Lipton; Alexander J. Smola (AAAI, 2021)

Gated Transformer for Decoding Human Brain EEG Signals. - Yunzhe Tao; Tao Sun 008; Aashiq Muhamed; Sahika Genc; Dylan Jackson; Ali Arsanjani; Suri Yaddanapudi; Liang Li; Prachi Kumar (EMBC, 2021)

DCAF-BERT: A Distilled Cachable Adaptable Factorized Model For Improved Ads CTR Prediction. - Aashiq Muhamed; Jaspreet Singh; Shuai Zheng 004; Iman Keivanloo; Sujan Perera; James Mracek; Yi Xu 011; Qingjun Cui; Santosh Rajagopalan; Belinda Zeng; Trishul Chilimbi (WWW (Companion Volume), 2022)

ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models. - Jianyi Zhang; Aashiq Muhamed; Aditya Anantharaman; Guoyin Wang 002; Changyou Chen; Kai Zhong; Qingjun Cui; Yi Xu 011; Belinda Zeng; Trishul Chilimbi; Yiran Chen 001 (ACL (2), 2023)

Training Large-scale Foundation Models on Emerging AI Chips. - Aashiq Muhamed; Christian Bock; Rahul Solanki; Youngsuk Park; Yida Wang 003; Jun Huan (KDD, 2023)

Web-Scale Semantic Product Search with Large Language Models. - Aashiq Muhamed; Sriram Srinivasan 004; Choon Hui Teo; Qingjun Cui; Belinda Zeng; Trishul Chilimbi; S. V. N. Vishwanathan (PAKDD (3), 2023)

An In-depth Look at Gemini's Language Abilities. - Syeda Nahida Akter; Zichun Yu; Aashiq Muhamed; Tianyue Ou; Alex Bäuerle; Ángel Alexander Cabrera; Krish Dholakia; Chenyan Xiong; Graham Neubig (CoRR, 2023)

Adversarial Text to Continuous Image Generation. - Kilichbek Haydarov; Aashiq Muhamed; Xiaoqian Shen; Jovana Lazarevic; Ivan Skorokhodov; Chamuditha Jayanga Galappaththige; Mohamed Elhoseiny (CVPR, 2024)

GRASS: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients. - Aashiq Muhamed; Oscar Li; David P. Woodruff; Mona T. Diab; Virginia Smith (EMNLP, 2024)

Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models. - Aashiq Muhamed; Mona T. Diab; Virginia Smith (NAACL (Findings), 2025)

CoRAG: Collaborative Retrieval-Augmented Generation. - Aashiq Muhamed; Mona T. Diab; Virginia Smith (NAACL (Short Papers), 2025)

NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA. - Marlon Tobaben; Mohamed Ali Souibgui; Rubèn Tito; Khanh Nguyen; Raouf Kerkouche; Kangsoo Jung; Joonas Jälkö; Lei Kang; Andrey Barsky; Vincent Poulain D'Andecy; Aurélie Joseph; Aashiq Muhamed; et al. (Trans. Mach. Learn. Res., 2025)

SAEs Can Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs. - Aashiq Muhamed; Jacopo Bonato; Mona T. Diab; Virginia Smith (CoRR, 2025)

Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs. - Xiangchen Song; Aashiq Muhamed; Yujia Zheng 001; Lingjing Kong; Zeyu Tang 002; Mona T. Diab; Virginia Smith; Kun Zhang 001 (CoRR, 2025)

CCRS: A Zero-Shot LLM-as-a-Judge Framework for Comprehensive RAG Evaluation. - Aashiq Muhamed (CoRR, 2025)