ShadowLLM: Predictor-based Contextual Sparsity for Large Language Models
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted to EMNLP 2024 (Main, Long Paper)
AI 大模型
大语言模型、预训练、指令微调、后训练和语言模型应用。
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted to EMNLP 2024 (Main, Long Paper)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted by EMNLP 2024 Industry Track
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Project is available at https://minicache.vmv.re
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments The project website and code are available at https://sites.google.com/view/llmvaluestability Published in PLOS ONE ( https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0309114 ), and a shorter version at CogSci 24 ( https://escholarship.org/uc/item/7w4823c6 )
Journal ref PLOS ONE, August 2024
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted by ICML 2024; 17 pages; 10 figures; 16 tables
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Preprint Paper with 13 pages
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);SFT(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted to Findings of the Association for Computational Linguistics: ACL 2024
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);prompting(abstract)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);prompting(abstract)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 1. Update the font size of all figures. 2. Update the name of the proposed layer Grouped Average Pooling (GrAP). 3. Change the order of the Section Contribution Statement
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 22 pages, 5 figures
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments v4: Final camera ready for ICLR'24
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted for publication as a long paper at SIGIR 2024
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 18 pages, code in https://github.com/siyan-zhao/prepacking
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted for publication in the FCCM'24 Journal Track and will appear in ACM Transactions on Reconfigurable Technology and Systems (TRETS)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);post-training(abstract);分类 cs.CL、cs.AI、cs.LG
Comments ICLR 2024 camera ready; Code is available at https://github.com/ziplab/QLLM and https://github.com/ModelTC/QLLM
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);prompting(abstract)
Comments CVPR 2024. Project website at https://lucazanella.github.io/lavad/
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);SFT(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 15 pages, 16 figures
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);prompting(abstract)
Comments 7 pages, 8 figures
Journal ref The 2024 International Conference on Robotics and Automation
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 21 papers analysed and synthesized in detail from a total search result size of 594 (raw results) / 61 (scanned) / 28 (selected)