Keivan Alizadeh

15 papers A* 2Journal 12Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Recursive Language Models Meet Uncertainty: The Surprising Effectiveness of Self-Reflective Program Search for Long Context. CoRR Keivan Alizadeh, Parshin Shojaee, Minsik Cho, Mehrdad Farajtabar
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
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`	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
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
2020	J	`jnl`	Recurrent Poisson Factorization for Temporal Recommendation. IEEE Trans. Knowl. Data Eng. Seyed Abbas Hosseini, Ali Khodadadi, Keivan Alizadeh, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee
2019	J	`jnl`	Butterfly Transform: An Efficient FFT Based Neural Architecture Design. CoRR Keivan Alizadeh, Ali Farhadi, Mohammad Rastegari
2017	A*	`conf`	Recurrent Poisson Factorization for Temporal Recommendation. KDD Seyyed Abbas Hosseini, Keivan Alizadeh, Ali Khodadadi, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee
2017	J	`jnl`	Recurrent Poisson Factorization for Temporal Recommendation. CoRR Seyyed Abbas Hosseini, Keivan Alizadeh, Ali Khodadadi, Ali Arabzadeh, Mehrdad Farajtabar, Hongyuan Zha, Hamid R. Rabiee