Aashiq Muhamed

According to our database, Aashiq Muhamed authored at least 20 papers between 2021 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2026

Pando: Do Interpretability Methods Work When Models Won't Explain Themselves?

Ziqian Zhong, Aashiq Muhamed, Mona T. Diab, Virginia Smith, Aditi Raghunathan

CoRR, April, 2026

DSPA: Dynamic SAE Steering for Data-Efficient Preference Alignment.

James Wedgwood, Aashiq Muhamed, Mona T. Diab, Virginia Smith

CoRR, March, 2026

RefusalBench: Generative Evaluation of Selective Refusal in Grounded Language Models.

Aashiq Muhamed, Leonardo F. R. Ribeiro, Markus Dreyer, Virginia Smith, Mona T. Diab

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Beyond Understanding: Evaluating the Pragmatic Gap in LLMs' Cultural Processing of Figurative Language.

Mena Attia, Aashiq Muhamed, Mai Alkhamissi, Thamar Solorio, Mona T. Diab

Proceedings of the 19th Conference of the European Chapter of the Association for Computational Linguistics, 2026

Mechanistic Interpretability Should Prioritize Feature Consistency in Sparse Autoencoders.

Xiangchen Song, Aashiq Muhamed, Yujia Zheng, Lingjing Kong, Zeyu Tang, Mona T. Diab, Virginia Smith, Kun Zhang

Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2026

2025

CCRS: A Zero-Shot LLM-as-a-Judge Framework for Comprehensive RAG Evaluation.

Aashiq Muhamed

CoRR, June, 2025

Position: Mechanistic Interpretability Should Prioritize Feature Consistency in SAEs.

Xiangchen Song, Aashiq Muhamed, Yujia Zheng, Lingjing Kong, Zeyu Tang, Mona T. Diab, Virginia Smith, Kun Zhang

CoRR, May, 2025

SAEs <i>Can</i> Improve Unlearning: Dynamic Sparse Autoencoder Guardrails for Precision Unlearning in LLMs.

Aashiq Muhamed, Jacopo Bonato, Mona T. Diab, Virginia Smith

CoRR, April, 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, Kevin Kuo, Virginia Smith, Yusuke Yamasaki, Takumi Fukami, Kenta Niwa, Iifan Tyou, Hiro Ishii, Rio Yokota, Ragul N, Rintu Kutum, Josep Lladós, Ernest Valveny, Antti Honkela, Mario Fritz, Dimosthenis Karatzas

Trans. Mach. Learn. Res., 2025

CoRAG: Collaborative Retrieval-Augmented Generation.

Aashiq Muhamed, Mona T. Diab, Virginia Smith

Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies, 2025

Decoding Dark Matter: Specialized Sparse Autoencoders for Interpreting Rare Concepts in Foundation Models.

Aashiq Muhamed, Mona T. Diab, Virginia Smith

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2025, Albuquerque, New Mexico, USA, April 29, 2025

2024

GRASS: Compute Efficient Low-Memory LLM Training with Structured Sparse Gradients.

Aashiq Muhamed, Oscar Li, David P. Woodruff, Mona T. Diab, Virginia Smith

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Adversarial Text to Continuous Image Generation.

Kilichbek Haydarov, Aashiq Muhamed, Xiaoqian Shen, Jovana Lazarevic, Ivan Skorokhodov, Chamuditha Jayanga Galappaththige, Mohamed Elhoseiny

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Web-Scale Semantic Product Search with Large Language Models.

Aashiq Muhamed, Sriram Srinivasan, Choon Hui Teo, Qingjun Cui, Belinda Zeng, Trishul Chilimbi, S. V. N. Vishwanathan

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2023

Training Large-scale Foundation Models on Emerging AI Chips.

Aashiq Muhamed, Christian Bock, Rahul Solanki, Youngsuk Park, Yida Wang, Jun Huan

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

ReAugKD: Retrieval-Augmented Knowledge Distillation For Pre-trained Language Models.

Jianyi Zhang, Aashiq Muhamed, Aditya Anantharaman, Guoyin Wang, Changyou Chen, Kai Zhong, Qingjun Cui, Yi Xu, Belinda Zeng, Trishul Chilimbi, Yiran Chen

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers), 2023

2022

DCAF-BERT: A Distilled Cachable Adaptable Factorized Model For Improved Ads CTR Prediction.

Aashiq Muhamed, Jaspreet Singh, Shuai Zheng, Iman Keivanloo, Sujan Perera, James Mracek, Yi Xu, Qingjun Cui, Santosh Rajagopalan, Belinda Zeng, Trishul Chilimbi

Proceedings of the Companion of The Web Conference 2022, Virtual Event / Lyon, France, April 25, 2022

2021

Gated Transformer for Decoding Human Brain EEG Signals.

Yunzhe Tao, Tao Sun, Aashiq Muhamed, Sahika Genc, Dylan Jackson, Ali Arsanjani, Suri Yaddanapudi, Liang Li, Prachi Kumar

Proceedings of the 43rd Annual International Conference of the IEEE Engineering in Medicine & Biology Society, 2021

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

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021