[2407.02820] Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes
![[2407.02820] Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes](https://i0.wp.com/arxiv.org/static/browse/0.3.4/images/arxiv-logo-fb.png?w=1200&resize=1200,700&ssl=1 "[2407.02820] Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes"){kind=logo}
[Submitted on 3 Jul 2024 (v1), last revised 3 Dec 2024 (this version, v2)] View a PDF of the paper ...
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[2311.17696] How to Build an AI Tutor that Can Adapt to Any Course and Provide Accurate Answers Using Large Language Model and Retrieval-Augmented Generation
[Submitted on 29 Nov 2023 (v1), last revised 4 Dec 2024 (this version, v4)] View a PDF of the paper ...
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Incorporating Cultural Differences into Large Language Models
[Submitted on 9 Feb 2024 (v1), last revised 3 Dec 2024 (this version, v3)] View a PDF of the paper ...
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[2406.10086] Discovering influential text using convolutional neural networks
[Submitted on 14 Jun 2024 (v1), last revised 2 Dec 2024 (this version, v3)] View a PDF of the paper ...
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[2403.06832] Noise-powered Multi-modal Knowledge Graph Representation Framework
[Submitted on 11 Mar 2024 (v1), last revised 30 Nov 2024 (this version, v3)] View a PDF of the paper ...
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[2306.13549] A Survey on Multimodal Large Language Models
[Submitted on 23 Jun 2023 (v1), last revised 29 Nov 2024 (this version, v4)] View a PDF of the paper ...
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[2411.11496] Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models
[Submitted on 18 Nov 2024 (v1), last revised 28 Nov 2024 (this version, v3)] View a PDF of the paper ...
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[2406.19226] Simulating Classroom Education with LLM-Empowered Agents
[Submitted on 27 Jun 2024 (v1), last revised 27 Nov 2024 (this version, v2)] Authors:Zheyuan Zhang, Daniel Zhang-Li, Jifan Yu, ...
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FLEX-CLIP: Feature-Level GEneration Network Enhanced CLIP for X-shot Cross-modal Retrieval
arXiv:2411.17454v1 Announce Kind: cross Summary: Given a question from one modality, few-shot cross-modal retrieval (CMR) retrieves semantically comparable cases in ...
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A Survey on Red Teaming for Generative Models
[Submitted on 31 Mar 2024 (v1), last revised 26 Nov 2024 (this version, v2)] Authors:Lizhi Lin, Honglin Mu, Zenan Zhai, ...
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