11 to 20 of 20,914 Results
JSON - 30,7 MB -
MD5: b3dec1f2064f0a6d92c152fc95aa1e14
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Jun 9, 2026 - GRESEL-UAM: Narrativas Financieras y Literatura
Torterolo Orta, Yanco Amor, 2026, "Results and model outputs from the paper: MLLM-as-a-Judge for Financial Document Image Machine Translation", https://doi.org/10.21950/VBG0HP, e-cienciaDatos, V1
This dataset contains 4 CSV files, one for each model used in the experiments of the paper titled: MLLM-as-a-Judge for Financial Document Image Machine Translation. The paper explores an end-to-end (E2E) Document Image Machine Translation (DIMT) approach using Gemma 4 on financial reports from IBEX 35 companies. Since traditional Machine Translatio... |
Jun 9, 2026 -
Results and model outputs from the paper: MLLM-as-a-Judge for Financial Document Image Machine Translation
Valores separados por comas - 6,2 MB -
MD5: 41d6e02a79c02a283220cb20dee36551
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Jun 9, 2026 -
Results and model outputs from the paper: MLLM-as-a-Judge for Financial Document Image Machine Translation
Valores separados por comas - 7,5 MB -
MD5: dafe2779545a746728758aa42dad4df0
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Jun 9, 2026 -
Results and model outputs from the paper: MLLM-as-a-Judge for Financial Document Image Machine Translation
Valores separados por comas - 3,8 MB -
MD5: 8829703b929f424a309b1a530e628c30
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Jun 9, 2026 -
Results and model outputs from the paper: MLLM-as-a-Judge for Financial Document Image Machine Translation
Valores separados por comas - 4,8 MB -
MD5: e021b72687a28b68ecf419565ced4a07
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Jun 9, 2026 -
Results and model outputs from the paper: MLLM-as-a-Judge for Financial Document Image Machine Translation
Texto plano - 6,7 KB -
MD5: 2d704a4f57096c1b4acd8af55981eae1
Descriptive document in English |
Jun 9, 2026 -
Results and model outputs from the paper: MLLM-as-a-Judge for Financial Document Image Machine Translation
Texto plano - 7,5 KB -
MD5: 507ec749d003699b38e9361fd957ffc1
Documento de ayuda en español |
Jun 9, 2026 - GRESEL-UAM: Narrativas Financieras y Literatura
Torterolo Orta, Yanco Amor, 2026, "Bidirectional ES-EN financial translation model: translategemma-12b LoRA adapters using parallel annual reports from IBEX 35 companies", https://doi.org/10.21950/NKX2YN, e-cienciaDatos, V1
This is a fine-tuned model for bidirectional ES-EN financial translation. This repository contains the low-rank adapters (LoRA) resulting from fine-tuning the google/translategemma-12b-it model with a parallel dataset of financial reports from IBEX 35 companies. This model was specifically fine-tuned to be more adaptable to different input sizes (u... |
JSON - 1,1 KB -
MD5: 19ea6cbd37d65dbe4bbd612881dcdf9d
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