DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models

15 November 2023

Papers citing "DEED: Dynamic Early Exit on Decoder for Accelerating Encoder-Decoder Transformer Models"

8 / 8 papers shown

Title
M2R2: Mixture of Multi-Rate Residuals for Efficient Transformer Inference Nikhil Bhendawade Mahyar Najibi Devang Naik Irina Belousova MoE 85 0 0 04 Feb 2025
Relaxed Recursive Transformers: Effective Parameter Sharing with Layer-wise LoRA Sangmin Bae Adam Fisch Hrayr Harutyunyan Ziwei Ji Seungyeon Kim Tal Schuster KELM 81 5 0 28 Oct 2024
FFN-SkipLLM: A Hidden Gem for Autoregressive Decoding with Adaptive Feed Forward Skipping Ajay Jaiswal Bodun Hu Lu Yin Yeonju Ro Shiwei Liu Tianlong Chen Aditya Akella 58 12 0 05 Apr 2024
Synthesize Step-by-Step: Tools, Templates and LLMs as Data Generators for Reasoning-Based Chart VQA Zhuowan Li Bhavan A. Jasani Peng Tang Shabnam Ghadar LRM 39 8 0 25 Mar 2024
EE-LLM: Large-Scale Training and Inference of Early-Exit Large Language Models with 3D Parallelism Yanxi Chen Xuchen Pan Yaliang Li Bolin Ding Jingren Zhou LRM 41 31 0 08 Dec 2023
Multiple-Question Multiple-Answer Text-VQA Peng Tang Srikar Appalaraju R. Manmatha Yusheng Xie Vijay Mahadevan 46 5 0 15 Nov 2023
DocFormerv2: Local Features for Document Understanding Srikar Appalaraju Peng Tang Qi Dong Nishant Sankaran Yichu Zhou R. Manmatha 28 39 0 02 Jun 2023
Unified Vision-Language Pre-Training for Image Captioning and VQA Luowei Zhou Hamid Palangi Lei Zhang Houdong Hu Jason J. Corso Jianfeng Gao MLLM VLM 252 927 0 24 Sep 2019