Ring Attention with Blockwise Transformers for Near-Infinite Context

3 October 2023

Pieter Abbeel

Papers citing "Ring Attention with Blockwise Transformers for Near-Infinite Context"

40 / 40 papers shown

Title
Understanding Stragglers in Large Model Training Using What-if Analysis Jinkun Lin Ziheng Jiang Zuquan Song Sida Zhao Menghan Yu ... Shuguang Wang Haibin Lin Xin Liu Aurojit Panda Jinyang Li 22 0 0 09 May 2025
Galvatron: An Automatic Distributed System for Efficient Foundation Model Training Xinyi Liu Y. Wang Shenhan Zhu Fangcheng Fu Qingshuo Liu Guangming Lin Bin Cui GNN 70 0 0 30 Apr 2025
Taming the Titans: A Survey of Efficient LLM Inference Serving Ranran Zhen J. Li Yixin Ji Z. Yang Tong Liu Qingrong Xia Xinyu Duan Z. Wang Baoxing Huai M. Zhang LLMAG 77 0 0 28 Apr 2025
Efficient Pretraining Length Scaling Bohong Wu Shen Yan Sijun Zhang Jianqiao Lu Yutao Zeng Ya Wang Xun Zhou 73 0 0 21 Apr 2025
MoE Parallel Folding: Heterogeneous Parallelism Mappings for Efficient Large-Scale MoE Model Training with Megatron Core Dennis Liu Zijie Yan Xin Yao Tong Liu V. Korthikanti ... Jiajie Yao Chandler Zhou David Wu Xipeng Li J. Yang MoE 56 0 0 21 Apr 2025
Kimi-VL Technical Report Kimi Team Angang Du B. Yin Bowei Xing Bowen Qu ... Zhiqi Huang Zihao Huang Zijia Zhao Z. Chen Zongyu Lin MLLM VLM MoE 134 1 0 10 Apr 2025
Seesaw: High-throughput LLM Inference via Model Re-sharding Qidong Su Wei Zhao X. Li Muralidhar Andoorveedu Chenhao Jiang Zhanda Zhu Kevin Song Christina Giannoula Gennady Pekhimenko LRM 72 0 0 09 Mar 2025
Linear-MoE: Linear Sequence Modeling Meets Mixture-of-Experts Weigao Sun Disen Lan Tong Zhu Xiaoye Qu Yu-Xi Cheng MoE 64 1 0 07 Mar 2025
Predicting Team Performance from Communications in Simulated Search-and-Rescue Ali Jalal-Kamali Nikolos Gurney David Pynadath AI4TS 111 0 0 05 Mar 2025
LongReD: Mitigating Short-Text Degradation of Long-Context Large Language Models via Restoration Distillation Zican Dong Junyi Li Jinhao Jiang Mingyu Xu Wayne Xin Zhao B. Wang Weipeng Chen VLM 136 1 0 20 Feb 2025
MALT Diffusion: Memory-Augmented Latent Transformers for Any-Length Video Generation Sihyun Yu Meera Hahn Dan Kondratyuk Jinwoo Shin Agrim Gupta José Lezama Irfan Essa David A. Ross Jonathan Huang DiffM VGen 72 0 0 18 Feb 2025
Step-Video-T2V Technical Report: The Practice, Challenges, and Future of Video Foundation Model Guoqing Ma Haoyang Huang K. Yan L. Chen Nan Duan ... Y. Wang Yuanwei Lu Yu-Cheng Chen Yu-Juan Luo Y. Luo DiffM VGen 147 17 0 14 Feb 2025
Efficient-vDiT: Efficient Video Diffusion Transformers With Attention Tile Hangliang Ding Dacheng Li Runlong Su Peiyuan Zhang Zhijie Deng Ion Stoica Hao Zhang VGen 65 4 0 10 Feb 2025
LV-XAttn: Distributed Cross-Attention for Long Visual Inputs in Multimodal Large Language Models Tzu-Tao Chang Shivaram Venkataraman VLM 108 0 0 04 Feb 2025
Longer Attention Span: Increasing Transformer Context Length with Sparse Graph Processing Techniques Nathaniel Tomczak Sanmukh Kuppannagari 91 0 0 31 Jan 2025
LongReason: A Synthetic Long-Context Reasoning Benchmark via Context Expansion Zhan Ling Kang Liu Kai Yan Y. Yang Weijian Lin Ting-Han Fan Lingfeng Shen Zhengyin Du Jiecao Chen ReLM ELM LRM 42 2 0 25 Jan 2025
InternVideo2.5: Empowering Video MLLMs with Long and Rich Context Modeling Yi Wang Xinhao Li Ziang Yan Yinan He Jiashuo Yu ... Kai Chen Wenhai Wang Yu Qiao Yali Wang Limin Wang 73 19 0 21 Jan 2025
ELITR-Bench: A Meeting Assistant Benchmark for Long-Context Language Models Thibaut Thonet Jos Rozen Laurent Besacier RALM 132 2 0 20 Jan 2025
HyGen: Efficient LLM Serving via Elastic Online-Offline Request Co-location Ting Sun Penghan Wang Fan Lai 86 1 0 15 Jan 2025
FOLDER: Accelerating Multi-modal Large Language Models with Enhanced Performance Haicheng Wang Zhemeng Yu Gabriele Spadaro Chen Ju Victor Quétu Enzo Tartaglione Enzo Tartaglione VLM 82 3 0 05 Jan 2025
RetrievalAttention: Accelerating Long-Context LLM Inference via Vector Retrieval Di Liu Meng Chen Baotong Lu Huiqiang Jiang Zhenhua Han ... K. Zhang C. L. P. Chen Fan Yang Y. Yang Lili Qiu 44 29 0 03 Jan 2025
FlashInfer: Efficient and Customizable Attention Engine for LLM Inference Serving Zihao Ye Lequn Chen Ruihang Lai Wuwei Lin Yineng Zhang ... Tianqi Chen Baris Kasikci Vinod Grover Arvind Krishnamurthy Luis Ceze 65 20 0 02 Jan 2025
Hardware Scaling Trends and Diminishing Returns in Large-Scale Distributed Training Jared Fernandez Luca Wehrstedt Leonid Shamis Mostafa Elhoushi Kalyan Saladi Yonatan Bisk Emma Strubell Jacob Kahn 127 3 0 20 Nov 2024
Needle Threading: Can LLMs Follow Threads through Near-Million-Scale Haystacks? Jonathan Roberts Kai Han Samuel Albanie LLMAG 88 0 0 07 Nov 2024
Context Parallelism for Scalable Million-Token Inference Amy Yang Jingyi Yang Aya Ibrahim Xinfeng Xie Bangsheng Tang Grigory Sizov Jeremy Reizenstein Jongsoo Park Jianyu Huang MoE LRM 60 5 0 04 Nov 2024
LongGenBench: Long-context Generation Benchmark Xiang Liu Peijie Dong Xuming Hu Xiaowen Chu RALM 43 8 0 05 Oct 2024
SageAttention: Accurate 8-Bit Attention for Plug-and-play Inference Acceleration Jintao Zhang Jia wei Pengle Zhang Jun-Jie Zhu Jun Zhu Jianfei Chen VLM MQ 82 18 0 03 Oct 2024
Selective Attention Improves Transformer Yaniv Leviathan Matan Kalman Yossi Matias 49 8 0 03 Oct 2024
Training Ultra Long Context Language Model with Fully Pipelined Distributed Transformer Jinghan Yao Sam Ade Jacobs Masahiro Tanaka Olatunji Ruwase A. Shafi D. Panda 28 2 0 30 Aug 2024
Transformers to SSMs: Distilling Quadratic Knowledge to Subquadratic Models Aviv Bick Kevin Y. Li Eric P. Xing J. Zico Kolter Albert Gu Mamba 43 24 0 19 Aug 2024
Controlling Space and Time with Diffusion Models Daniel Watson Saurabh Saxena Lala Li Andrea Tagliasacchi David J. Fleet VGen 56 27 0 10 Jul 2024
DeciMamba: Exploring the Length Extrapolation Potential of Mamba Assaf Ben-Kish Itamar Zimerman Shady Abu Hussein Nadav Cohen Amir Globerson Lior Wolf Raja Giryes Mamba 67 13 0 20 Jun 2024
Mitigate Position Bias in Large Language Models via Scaling a Single Dimension Yijiong Yu Huiqiang Jiang Xufang Luo Qianhui Wu Chin-Yew Lin Dongsheng Li Yuqing Yang Yongfeng Huang L. Qiu 35 9 0 04 Jun 2024
Lean Attention: Hardware-Aware Scalable Attention Mechanism for the Decode-Phase of Transformers Rya Sanovar Srikant Bharadwaj Renée St. Amant Victor Rühle Saravan Rajmohan 49 6 0 17 May 2024
DEPTH: Discourse Education through Pre-Training Hierarchically Zachary Bamberger Ofek Glick Chaim Baskin Yonatan Belinkov 54 0 0 13 May 2024
Preble: Efficient Distributed Prompt Scheduling for LLM Serving Vikranth Srivatsa Zijian He Reyna Abhyankar Dongming Li Yiying Zhang 40 17 0 08 May 2024
In-Context Learning with Long-Context Models: An In-Depth Exploration Amanda Bertsch Maor Ivgi Uri Alon Jonathan Berant Matthew R. Gormley Matthew R. Gormley Graham Neubig ReLM AIMat 81 65 0 30 Apr 2024
Linear Attention Sequence Parallelism Weigao Sun Zhen Qin Dong Li Xuyang Shen Yu Qiao Yiran Zhong 68 2 0 03 Apr 2024
User-LLM: Efficient LLM Contextualization with User Embeddings Lin Ning Luyang Liu Jiaxing Wu Neo Wu D. Berlowitz Sushant Prakash Bradley Green S. O’Banion Jun Xie 42 32 0 21 Feb 2024
Megatron-LM: Training Multi-Billion Parameter Language Models Using Model Parallelism M. Shoeybi M. Patwary Raul Puri P. LeGresley Jared Casper Bryan Catanzaro MoE 243 1,815 0 17 Sep 2019