Revisiting the Gold Standard: Grounding Summarization Evaluation with Robust Human Evaluation
专题命中 视觉定位与Grounding :grounding(title)
Comments ACL 2023 Camera Ready
AI 大模型
视觉语言模型、视觉推理、视觉问答、图文理解和视觉 grounding。
专题命中 视觉定位与Grounding :grounding(title)
Comments ACL 2023 Camera Ready
专题命中 视觉定位与Grounding :grounding(title)
专题命中 视觉定位与Grounding :grounding(title)
专题命中 视觉定位与Grounding :grounding(title)
Comments 9 pages, 9 tables, 1 figure. Main Conference of EACL 2023
专题命中 视觉定位与Grounding :grounding(title)
Comments In Proceedings ACT 2021, arXiv:2211.01102
Journal ref EPTCS 372, 2022, pp. 368-383
专题命中 视觉定位与Grounding :grounding(title)
Comments Accepted to IEEE SLT 2022
专题命中 视觉定位与Grounding :grounding(title)
Comments Published in Journal of Artificial Intelligence Research (JAIR)
Journal ref Journal of Artificial Intelligence Research (JAIR), 2022, vol. 74, pp. 1201-1223
专题命中 视觉定位与Grounding :grounding(title)
Comments Accepted to NAACL 2022 SRW
专题命中 视觉定位与Grounding :grounding(title)
专题命中 视觉定位与Grounding :grounding(title)
Comments v3: version published in Progress in Particle and Nuclear Physics; v2: updated manuscript based upon community feedback and referee comments. Also, substantially re-written section on two-nucleon lattice QCD controversy. 53.5 pages plus a "few more" references; v1: Contribution to: The tower of effective (field) theories and the emergence of nuclear phenomena; 47 pages plus a "few" references
专题命中 视觉定位与Grounding :grounding(title)
Comments Accepted to Interspeech 2021
专题命中 视觉定位与Grounding :grounding(title)
Comments 16 pages, 3 figures, accepted at ESWC 2021
专题命中 视觉定位与Grounding :grounding(title)
Comments Findings of Empirical Methods in Natural Language Processing (EMNLP) 2020
专题命中 视觉定位与Grounding :VLM(title)
Comments 14 pages, 6 figures, accepted for publication in MNRAS
专题命中 视觉定位与Grounding :grounding(title)
Comments Accepted for Publishing at SemDial 2020
专题命中 视觉定位与Grounding :grounding(title)
Comments Accepted by WWW2020. Code available at https://github.com/INK-USC/NERO
专题命中 视觉定位与Grounding :grounding(title)
专题命中 视觉定位与Grounding :grounding(title)
Comments 44 pages including 12 figures
专题命中 视觉定位与Grounding :grounding(title)
Comments 16 pages, 5 figures, Accepted at EMNLP 2018
专题命中 视觉定位与Grounding :grounding(title)
Comments Accepted to ICASSP 2019
专题命中 视觉定位与Grounding :grounding(title)
Comments ICASSP 2019
专题命中 视觉定位与Grounding :grounding(title)
Comments In PEOPLES2018 short papers (NAACL workshop), 6 pages, 5 figures, 1 table
专题命中 视觉定位与Grounding :grounding(title)
Comments in: Pham, D.-N. and Park, S.-B., editors, PRICAI 2014: Trends in Artificial Intelligence, volume 8862 of Lecture Notes in Computer Science, pages 958-971. Springer
专题命中 视觉定位与Grounding :grounding(title)
Comments 21 pages, 1 figure
专题命中 视觉定位与Grounding :grounding(title)
Comments 22 pages, 5 figures; talk presented at the 2nd international symposium on "Emergent Quantum Mechanics" (Vienna, Austria, 3-6 October, 2013), http://www.emqm13.org/. To be published in J. Phys.: Conf. Ser. (2014)
Journal ref J. Phys.: Conf. Ser. (2014) 504 012006
专题命中 视觉定位与Grounding :grounding(title)
Comments 6 pages, LATEX
Journal ref Nucl. Instr. and Meth. A448 (2000) 81-84
专题命中 视觉定位与Grounding :grounding(title)
Comments 11 pages
Journal ref New J. Phys. 9 165 (2007)
当状态成为攻击面:大语言模型驱动的具身智能体中的状态语义注入
机构 * Wuhan University(武汉大学) ; University at Buffalo(布法罗大学)
专题命中 视觉定位与Grounding :grounding(abstract,abstract_cn);分类 cs.AI
AI总结 该文聚焦LLM驱动的具身智能体,梳理其技术演进与现有模型,指出其需结合多类信息完成任务落地后执行,为后续状态语义注入攻击研究奠定基础。
Comments submitted to USENIX Security 2027
神经符号具身智能体
机构 * Imperial College London(帝国理工学院) ; Johns Hopkins University(约翰斯·霍普金斯大学) ; City, University of London(伦敦城市大学)
专题命中 视觉定位与Grounding :vision-language model(abstract);grounding(abstract);分类 cs.AI
AI总结 该研究提出一种神经符号具身智能体,将长周期家庭任务分解为视觉探索与符号规划,在VirtualHome、ALFWorld基准测试中表现优异,约束与搜索结合可大幅提升任务解决率,且无需专门训练。
反事实敏感性不等于可修复性:针对视频证据的重播探针审计
专题命中 视觉定位与Grounding :grounding(abstract,abstract_cn);分类 cs.CV
AI总结 本研究提出黑盒反事实探针 CARVE,通过对比 SHAM 与 DESTROY 重播下的答案变化,审计视频智能体的证据依赖,在 LVBench 上取得准确率提升,验证了反事实敏感性与可修复性的差异。
Comments 23 pages, 2 figures. Code: https://github.com/KurbanIntelligenceLab/CARVE