Iman Mirzadeh - RankMe

15 papers A* 2Journal 11Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Barriers for Learning in an Evolving World: Mathematical Understanding of Loss of Plasticity. CoRR Amir Joudaki, Giulia Lanzillotta, Mohammad Samragh Razlighi, Iman Mirzadeh, Keivan Alizadeh, Thomas Hofmann, Mehrdad Farajtabar, Fartash Faghri
2025	A*	`conf`	GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models. ICLR Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, Mehrdad Farajtabar
2025	J	`jnl`	The Illusion of Thinking: Understanding the Strengths and Limitations of Reasoning Models via the Lens of Problem Complexity. CoRR Parshin Shojaee, Iman Mirzadeh, Keivan Alizadeh, Maxwell Horton, Samy Bengio, Mehrdad Farajtabar
2025	—	`conf`	TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining. ACL (1) Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh, Sachin Mehta, Vaishaal Shankar, Raviteja Vemulapalli, Samy Bengio, Oncel Tuzel, Mehrdad Farajtabar, Hadi Pouransari, Fartash Faghri
2025	J	`jnl`	TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining. CoRR Jeffrey Li, Mohammadreza Armandpour, Iman Mirzadeh, Sachin Mehta, Vaishaal Shankar, Raviteja Vemulapalli, Samy Bengio, Oncel Tuzel, Mehrdad Farajtabar, Hadi Pouransari, Fartash Faghri
2024	J	`jnl`	Computational Bottlenecks of Training Small-scale Large Language Models. CoRR Saleh Ashkboos, Iman Mirzadeh, Keivan Alizadeh, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar, Fartash Faghri
2024	J	`jnl`	Duo-LLM: A Framework for Studying Adaptive Computation in Large Language Models. CoRR Keivan Alizadeh, Iman Mirzadeh, Hooman Shahrokhi, Dmitry Belenko, Frank Sun, Minsik Cho, Mohammad Hossein Sekhavat, Moin Nabi, Mehrdad Farajtabar
2024	J	`jnl`	GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models. CoRR Iman Mirzadeh, Keivan Alizadeh, Hooman Shahrokhi, Oncel Tuzel, Samy Bengio, Mehrdad Farajtabar
2024	—	`conf`	LLM in a flash: Efficient Large Language Model Inference with Limited Memory. ACL (1) Keivan Alizadeh, Iman Mirzadeh, Dmitry Belenko, S. Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar
2024	J	`jnl`	OpenELM: An Efficient Language Model Family with Open Training and Inference Framework. CoRR Sachin Mehta, Mohammad Hossein Sekhavat, Qingqing Cao, Maxwell Horton, Yanzi Jin, Chenfan Sun, Iman Mirzadeh, Mahyar Najibi, Dmitry Belenko, Peter Zatloukal, Mohammad Rastegari
2024	A*	`conf`	ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. ICLR Iman Mirzadeh, Keivan Alizadeh-Vahid, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar
2024	J	`jnl`	SALSA: Soup-based Alignment Learning for Stronger Adaptation in RLHF. CoRR Atoosa Malemir Chegini, Hamid Kazemi, Iman Mirzadeh, Dong Yin, Maxwell Horton, Moin Nabi, Mehrdad Farajtabar, Keivan Alizadeh
2024	J	`jnl`	Scaling Smart: Accelerating Large Language Model Pre-training with Small Model Initialization. CoRR Mohammad Samragh, Iman Mirzadeh, Keivan Alizadeh-Vahid, Fartash Faghri, Minsik Cho, Moin Nabi, Devang Naik, Mehrdad Farajtabar
2023	J	`jnl`	LLM in a flash: Efficient Large Language Model Inference with Limited Memory. CoRR Keivan Alizadeh, Iman Mirzadeh, Dmitry Belenko, Karen Khatamifard, Minsik Cho, Carlo C. del Mundo, Mohammad Rastegari, Mehrdad Farajtabar
2023	J	`jnl`	ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models. CoRR Iman Mirzadeh, Keivan Alizadeh, Sachin Mehta, Carlo C. del Mundo, Oncel Tuzel, Golnoosh Samei, Mohammad Rastegari, Mehrdad Farajtabar