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81 to 90 of 3,409 Results

test_graph_4.ttl Apr 28, 2025 - eSPARQL Implementation Turtle RDF - 483 B - MD5: 14f72da7aaf6a63ea209a83c39c281a3
Code for Improving Video Caption Accuracy with LLMs Feb 28, 2025 Fathallah, Nadeen, 2025, "Code for Improving Video Caption Accuracy with LLMs", https://doi.org/10.18419/DARUS-4776, DaRUS, V1 As part of the IKILeUS project at the University of Stuttgart, research was conducted to explore how Large Language Models (LLMs) can enhance the accuracy and contextual relevance of automatic speech recognition (ASR)-generated captions. While ASR tools provide a foundation for accessibility, they often produce grammatical errors, misinterpret homo...
Download_YT_Video.ipynb Feb 28, 2025 - Code for Improving Video Caption Accuracy with LLMs Jupyter Notebook - 7.0 KB - MD5: 5e884e1584616b21d000203d27683c3a
Evaluation.ipynb Feb 28, 2025 - Code for Improving Video Caption Accuracy with LLMs Jupyter Notebook - 19.4 KB - MD5: c24b839b69635b4bf4b11a386188bed3
Gemini.ipynb Feb 28, 2025 - Code for Improving Video Caption Accuracy with LLMs Jupyter Notebook - 11.9 KB - MD5: f6e97b6eeb114cd95822523bbc65ad9c
GPT2.ipynb Feb 28, 2025 - Code for Improving Video Caption Accuracy with LLMs Jupyter Notebook - 7.8 KB - MD5: 58be18532e56dbbe2ea70f2dd564f3f8
GPT3_5_openai_api_Azure.ipynb Feb 28, 2025 - Code for Improving Video Caption Accuracy with LLMs Jupyter Notebook - 4.8 KB - MD5: 0d371e20b73fe73d51366becd673c5ca
LICENSE Feb 28, 2025 - Code for Improving Video Caption Accuracy with LLMs Plain Text - 1.0 KB - MD5: aadc2e2eeb8a75df7a5843133be16dd6
llama2_7b_ggml.ipynb Feb 28, 2025 - Code for Improving Video Caption Accuracy with LLMs Jupyter Notebook - 4.4 KB - MD5: 1e3fe7a495cd36dc8328ee1c464d4b3c
llama2_replicate.ipynb Feb 28, 2025 - Code for Improving Video Caption Accuracy with LLMs Jupyter Notebook - 7.4 KB - MD5: 27167e9740456c66174d9070e08c35f6

test_graph_4.ttl

Apr 28, 2025 - eSPARQL Implementation

Turtle RDF - 483 B -

Code for Improving Video Caption Accuracy with LLMs

Feb 28, 2025

Fathallah, Nadeen, 2025, "Code for Improving Video Caption Accuracy with LLMs", https://doi.org/10.18419/DARUS-4776, DaRUS, V1

As part of the IKILeUS project at the University of Stuttgart, research was conducted to explore how Large Language Models (LLMs) can enhance the accuracy and contextual relevance of automatic speech recognition (ASR)-generated captions. While ASR tools provide a foundation for accessibility, they often produce grammatical errors, misinterpret homo...

Download_YT_Video.ipynb

Feb 28, 2025 - Code for Improving Video Caption Accuracy with LLMs

Jupyter Notebook - 7.0 KB -

Evaluation.ipynb

Feb 28, 2025 - Code for Improving Video Caption Accuracy with LLMs

Jupyter Notebook - 19.4 KB -

Gemini.ipynb

Feb 28, 2025 - Code for Improving Video Caption Accuracy with LLMs

Jupyter Notebook - 11.9 KB -

GPT2.ipynb

Feb 28, 2025 - Code for Improving Video Caption Accuracy with LLMs

Jupyter Notebook - 7.8 KB -

GPT3_5_openai_api_Azure.ipynb

Feb 28, 2025 - Code for Improving Video Caption Accuracy with LLMs

Jupyter Notebook - 4.8 KB -

LICENSE

Feb 28, 2025 - Code for Improving Video Caption Accuracy with LLMs

Plain Text - 1.0 KB -

llama2_7b_ggml.ipynb

Feb 28, 2025 - Code for Improving Video Caption Accuracy with LLMs

Jupyter Notebook - 4.4 KB -

llama2_replicate.ipynb

Feb 28, 2025 - Code for Improving Video Caption Accuracy with LLMs

Jupyter Notebook - 7.4 KB -

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