3 papers
cs.CV2026
ELT: Elastic Looped Transformers for Visual Generation
Sahil Goyal, Swayam Agrawal, Gautham Govind Anil +3
We introduce Elastic Looped Transformers (ELT), a highly parameter-efficient class of visual generative models based on a recurrent transformer architecture. While conventional gen…
cs.LG2025
Compressing Many-Shots in In-Context Learning
Devvrit Khatri, Pranamya Kulkarni, Nilesh Gupta +9
Large Language Models (LLMs) have been shown to be able to learn different tasks without explicit finetuning when given many input-output examples / demonstrations through In-Conte…
cs.LG2024
MatMamba: A Matryoshka State Space Model
Abhinav Shukla, Sai Vemprala, Aditya Kusupati +1
State Space Models (SSMs) like Mamba2 are a promising alternative to Transformers, with faster theoretical training and inference times -- especially for long context lengths. Rece…