Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory

26 May 2024

Papers citing "Limits of Deep Learning: Sequence Modeling through the Lens of Complexity Theory"

5 / 5 papers shown

Title
GG-SSMs: Graph-Generating State Space Models Nikola Zubić Davide Scaramuzza Mamba 86 1 0 17 Dec 2024
S7: Selective and Simplified State Space Layers for Sequence Modeling Taylan Soydan Nikola Zubić Nico Messikommer Siddhartha Mishra Davide Scaramuzza 22 3 0 04 Oct 2024
Sparks of Artificial General Intelligence: Early experiments with GPT-4 Sébastien Bubeck Varun Chandrasekaran Ronen Eldan J. Gehrke Eric Horvitz ... Scott M. Lundberg Harsha Nori Hamid Palangi Marco Tulio Ribeiro Yi Zhang ELM AI4MH AI4CE ALM 206 2,232 0 22 Mar 2023
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
Probing Language Models for Understanding of Temporal Expressions Shivin Thukral Kunal Kukreja Christian Kavouras 76 19 0 03 Oct 2021