PhonologyBench: Evaluating Phonological Skills of Large Language Models
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments 17 pages, 7 figures, 6 tables
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.CL、cs.AI、cs.LG
Comments 17 pages, 7 figures, 6 tables
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);prompting(abstract);分类 cs.CL、cs.AI、cs.LG
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、cs.AI、cs.LG
Comments ICLR 2024. Project homepage: https://github.com/zjunlp/Mol-Instructions
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments The code is available via https://github.com/CurryTang/LLMGNN; ICLR 2024
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Published at ICLR 2024 as a Spotlight paper (notable top 5%)
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);prompting(abstract)
Comments 22 pages, 5 figures
Journal ref In Proceedings of the CHI Conference on Human Factors in Computing Systems (CHI '24), May 11-16, 2024, Honolulu, HI, USA
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、cs.LG
Comments Accepted at AAAI 2024 (main track)
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、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、cs.AI、cs.LG
Comments 2023 NeurIPS SoLaR Workshop Accepted
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、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、cs.AI、cs.LG
Comments Accepted to the 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP, Findings of the Association for Computational Linguistics)
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);prompting(abstract)
Comments This work is an extension of our prior work, available at arXiv:2209.11515
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、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、cs.AI、cs.LG
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);pretraining(abstract)
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、cs.AI、cs.LG
Comments (FinLLM 2023)@IJCAI 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、cs.AI、cs.LG
Comments The paper was uploaded in error, before it was ready for submission. The paper requires a deep revision, and significant changes and modifications before uploading to the archive
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI、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、cs.AI、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、cs.AI、cs.LG
LLM的隐式身份技术:跨数据集、模型和生成内容的指纹识别与水印
机构 * School of Cyber Science and Engineering, Xi’an Jiaotong University, Xi’an, China(西安交通大学计算机科学与工程学院) ; State Grid Henan Marketing Service Center, Henan, China(国网河南营销服务中心) ; Institute of Information Engineering, Chinese Academy of Sciences, Beijing, China(中国科学院信息工程研究所) ; School of Cyber Security, University of Chinese Academy of Sciences, Beijing, China(中国科学院大学网络安全学院) ; School of Information Technology, Deakin University, Geelong, Australia(迪金大学信息技术学院)
专题命中 评测与基准 :LLM(title_cn,summary_cn);large language model(abstract);language model(abstract);分类 cs.CL、cs.LG
AI总结 本文综述了LLM指纹识别和水印技术,提出隐式身份统一抽象,并基于生命周期分类法组织数据集、模型和生成内容的技术,建立评估框架。
Comments Accepted by IJCAI-ECAI 2026. 11 pages, 1 figure. Survey and taxonomy of LLM fingerprinting and watermarking for identity, provenance, generated-content attribution, and asset protection
Jailbreak-Zero:大型语言模型安全评估的帕累托最优渗透测试路径
机构 * Meta Superintelligence Labs(Meta超智能实验室) ; Carnegie Mellon University(卡内基梅隆大学)
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.LG
AI总结 Jailbreak-Zero通过生成多样化对抗性提示并微调攻击模型,实现了LLM安全评估的帕累托最优,提高了攻击成功率并减少了人工干预需求。
Comments Socially Responsible and Trustworthy Foundation Models at NeurIPS 2025
机构 * Department of Statistics, University of California, Irvine(统计系,加州大学伊文斯分校) ; Department of Computer Science, University of California, Irvine(计算机科学系,加州大学伊文斯分校)
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract,comments);分类 cs.CL、cs.LG
Comments Accepted to NeurIPS 2025 Workshop on Evaluating the Evolving LLM Lifecycle: Benchmarks, Emergent Abilities, and Scaling
机构 * School of Computer Science and Engineering, Beihang University(计算机科学与工程学院,北京航空航天大学)
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract,comments);分类 cs.CL、cs.AI
Comments Version 4: We added the latest works of LLM-based Embedders
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);pretraining(abstract);分类 cs.CL、cs.AI
Comments v3: Expand Agentic and SFT Chapters. Build Website for better visualization
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.AI
Comments Accepted at 2 NeurIPS 2024 workshops: Generative AI for Health Workshop and Workshop on Advancements In Medical Foundation Models: Explainability, Robustness, Security, and Beyond
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract);分类 cs.CL、cs.LG
Comments Statistical Foundations of LLMs and Foundation Models Workshop at NeurIPS 2024
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract,comments);分类 cs.CL、cs.AI
Comments MSP60K PAR Benchmark Dataset, LLM based PAR model, In Peer Review
专题命中 评测与基准 :large language model(title,abstract);language model(title,abstract);LLM(abstract,comments);分类 cs.AI、cs.LG
Comments Ongoing work. 21 pages. Related materials are continually maintained and available at https://github.com/modelscope/data-juicer/blob/main/docs/awesome_llm_data.md