Process Modeling With Large Language Models
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);LLM(abstract);prompting(abstract)
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);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)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);pretraining(abstract);分类 cs.CL、cs.AI、cs.LG
Comments code at: https://github.com/WANGXinyiLinda/concept-based-demonstration-selection Accepted to NeurIPS 2023
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 to ICLR 2024, Spotlight top 5%, 24 pages. This work will be open sourced at: https://github.com/YUCHEN005/RobustGER under MIT license
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 15 pages, 8 figures
Journal ref published in ICLR2024
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 Include wrong information in comment. Should be 7 pages and not published yet
专题命中 效率与部署 :language model(title,abstract);small language model(title,abstract);large language model(abstract);分类 cs.CL、cs.AI、cs.LG
Comments NeurIPS 2023
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 Submitted to Nature - Machine Intelligence (Revised and Extended)
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
SMARTER: 一种数据高效框架,通过自增强大语言模型提升毒性检测与解释
机构 * University of Maryland(马里兰大学)
专题命中 效率与部署 :large language model(title,abstract);language model(title,abstract);preference optimization(abstract);分类 cs.CL、cs.AI
AI总结 SMARTER通过两阶段框架利用大语言模型自身输出生成解释,提升内容审核的可解释性,实验表明在三个基准任务中实现13%的宏F1提升,且数据使用量仅为全训练数据的分数。
Comments ACL 2026. NLP, Hate speech detection, explanation, LLM. Version 3