Democratized LLM Scaling for A Large Model Zoo in the Wild
[Submitted on 7 Oct 2024 (v1), last revised 5 Dec 2024 (this version, v2)] Authors:Xinyu Zhao, Guoheng Sun, Ruisi Cai, ...
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[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://wp.fifu.app/newszone.arammon.com/aHR0cDovL2FyeGl2Lm9yZy9zdGF0aWMvYnJvd3NlLzAuMy40L2ltYWdlcy9hcnhpdi1sb2dvLWZiLnBuZw/cae5d84d6fb1/2407-02820-investigating-the-contextualised-word-embedding-dimensions-specified-for-contextual-and-temporal-semantic-changes.webp?w=1200&h=700&c=0&p=5743 "[2407.02820] Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes")
[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
![[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](https://wp.fifu.app/newszone.arammon.com/aHR0cDovL2FyeGl2Lm9yZy9zdGF0aWMvYnJvd3NlLzAuMy40L2ltYWdlcy9hcnhpdi1sb2dvLWZiLnBuZw/e079a4e9caae/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.webp?w=1200&h=700&c=0&p=5702 "[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
![[2406.10086] Discovering influential text using convolutional neural networks](https://wp.fifu.app/newszone.arammon.com/aHR0cDovL2FyeGl2Lm9yZy9zdGF0aWMvYnJvd3NlLzAuMy40L2ltYWdlcy9hcnhpdi1sb2dvLWZiLnBuZw/652d19ae12c7/2406-10086-discovering-influential-text-using-convolutional-neural-networks.webp?w=1200&h=700&c=0&p=5619 "[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
![[2403.06832] Noise-powered Multi-modal Knowledge Graph Representation Framework](https://wp.fifu.app/newszone.arammon.com/aHR0cDovL2FyeGl2Lm9yZy9zdGF0aWMvYnJvd3NlLzAuMy40L2ltYWdlcy9hcnhpdi1sb2dvLWZiLnBuZw/a3785d0fc7f9/2403-06832-noise-powered-multi-modal-knowledge-graph-representation-framework.webp?w=1200&h=700&c=0&p=5583 "[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
![[2306.13549] A Survey on Multimodal Large Language Models](https://wp.fifu.app/newszone.arammon.com/aHR0cDovL2FyeGl2Lm9yZy9zdGF0aWMvYnJvd3NlLzAuMy40L2ltYWdlcy9hcnhpdi1sb2dvLWZiLnBuZw/ec811a1dddf3/2306-13549-a-survey-on-multimodal-large-language-models.webp?w=1200&h=700&c=0&p=5545 "[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
![[2411.11496] Safe + Safe = Unsafe? Exploring How Safe Images Can Be Exploited to Jailbreak Large Vision-Language Models](https://wp.fifu.app/newszone.arammon.com/aHR0cDovL2FyeGl2Lm9yZy9zdGF0aWMvYnJvd3NlLzAuMy40L2ltYWdlcy9hcnhpdi1sb2dvLWZiLnBuZw/e17e30421726/2411-11496-safe-safe-unsafe-exploring-how-safe-images-can-be-exploited-to-jailbreak-large-vision-language-models.webp?w=1200&h=700&c=0&p=5513 "[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
![[2406.19226] Simulating Classroom Education with LLM-Empowered Agents](https://wp.fifu.app/newszone.arammon.com/aHR0cDovL2FyeGl2Lm9yZy9zdGF0aWMvYnJvd3NlLzAuMy40L2ltYWdlcy9hcnhpdi1sb2dvLWZiLnBuZw/5969a27894e5/2406-19226-simulating-classroom-education-with-llm-empowered-agents.webp?w=1200&h=700&c=0&p=5305 "[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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![[2411.18553] Retrofitting Large Language Models with Dynamic Tokenization](https://wp.fifu.app/newszone.arammon.com/aHR0cDovL2FyeGl2Lm9yZy9zdGF0aWMvYnJvd3NlLzAuMy40L2ltYWdlcy9hcnhpdi1sb2dvLWZiLnBuZw/ce0d15bfbd29/2411-18553-retrofitting-large-language-models-with-dynamic-tokenization.webp?w=150&h=150&c=0&p=14251 "[2411.18553] Retrofitting Large Language Models with Dynamic Tokenization")
