AgentSims: An Open-Source Sandbox for Large Language Model Evaluation
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.AI
Comments submit to EMNLP2023 demo track
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 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.AI
Comments submit to EMNLP2023 demo track
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.LG
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);prompting(abstract);分类 cs.LG
Comments To appear at RecSys'23
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL
Comments work in progress
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);prompting(abstract);分类 cs.CL
Comments Preliminary version of an ongoing work
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.AI
Comments 20 pages, 1 figure, protocol
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);prompting(abstract);分类 cs.CL
Comments Accepted in EAMT, 10 pages, 8 tables, one figure
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL
Comments 17 pages, 8 figures, 12 tables, ACL 2023
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.AI
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);pretraining(abstract);分类 cs.CL
Comments The data and code is available at https://buffetfs.github.io/
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL
Comments preprint (31 pages)
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);prompting(abstract);分类 cs.CL
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL
Comments ACL 2023 main conference paper. Main content: 10 pages (including limitations). Appendix: 13 pages
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.AI
Comments Accepted for publication in the Genetic and Evolutionary Computation Conference (GECCO 2023)
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);instruction tuning(abstract);分类 cs.CL
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);prompting(abstract);分类 cs.CL
Comments Accepted for publication at IWSDS 2023
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);prompting(abstract);分类 cs.CL
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.AI
LLM时代的作者身份归属:问题、方法与挑战
专题命中 评测与基准 :LLM(title_cn,summary_cn);large language model(abstract);language model(abstract)
AI总结 本文系统综述了LLM时代作者身份归属的四个代表性问题和挑战,包括人类文本归属、LLM生成文本检测、LLM生成文本归属以及人机合著文本归属,并探讨了泛化性和可解释性等关键问题。
Comments ACM SIGKDD Exploration. 12 pages. Additional resources, including a regularly updated list of related papers, and LLM-generated text detectors, are available at https://llm-authorship.github.io
大型语言模型有助于缓解量子神经网络中的 barren plateaus
机构 * Boise State University(博伊西州立大学) ; University of Cincinnati(辛辛那提大学)
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI、cs.LG;LLM(comments)
AI总结 本文提出AdaInit框架,利用具有亚鞅性质的大语言模型迭代合成量子神经网络的初始参数,以维持梯度方差,缓解 barren plateaus 问题。
Comments [ACL'26 Findings] TL;DR: We propose a new LLM-driven submartingale-based framework that adaptively generates effective initial parameters for quantum neural networks to mitigate barren plateaus by leveraging LLMs with the submartingale property
机构 * Imaging Biomarkers and Computer-Aided Diagnosis Laboratory, Department of Radiology and Imaging Sciences, National Institutes of Health Clinical Center(影像生物标志物与计算机辅助诊断实验室,放射学与成像科学系,国家卫生研究院临床中心)
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract,comments)
Comments Code and data: https://github.com/rsummers11/CADLab/tree/master/MAPLEZ_LLM_report_labeler/
专题命中 评测与基准 :language model(title,abstract);large language model(title,abstract);分类 cs.CL、cs.AI、cs.LG
Comments A less extensive and shorter version of this work has been accepted at Socially Responsible Language Modelling Research (SoLaR) 2023 Workshop at NeurIPS 2023
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);分类 cs.CL、cs.AI、cs.LG;LLM(comments)
Comments ACL 2024 main. Code and data at https://github.com/yaojin17/Unlearning_LLM
中国起源的多模态视觉语言模型如何在状态对齐中从拒绝转向重构
专题命中 评测与基准 :language model(title,abstract);LLM(abstract,abstract_cn);large language model(abstract);prompting(abstract)
AI总结 该研究构建基准测试9个视觉语言模型,发现中国起源模型更易进行状态对齐重构,且审查从可见的拒绝转向不可见的重构,这对人机交互存在影响。
Comments 41 pages, 31 figures, 9 tables. Preprint