#MMBench - Twitter Hashtag

about 2 years ago

🧵 3/N We conducted extensive experiments on 7 vision-language benchmarks, including #ScienceQA, #TextVQA, #ChartQA, LLaVA-Bench, #MMBench, MM-Vet, and #MathVista. STIC achieves consistent and significant performance improvements, with an average accuracy gain of 4.0% over the base LVLM and a notable gain of 6.4% on ScienceQA.

lupantech's tweet photo. 🧵 3/N We conducted extensive experiments on 7 vision-language benchmarks, including #ScienceQA, #TextVQA, #ChartQA, LLaVA-Bench, #MMBench, MM-Vet, and #MathVista.

STIC achieves consistent and significant performance improvements, with an average accuracy gain of 4.0% over the base LVLM and a notable gain of 6.4% on ScienceQA.

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OpenMMLab @OpenMMLab

almost 3 years ago

🥳Try #MMBench to quantify the capabilities of your multimodal model. The new homepage is online. 👉https://t.co/QLHInRCYoT 🥰#OpenCompass MMBench Leaderboard was added to @huggingface Open-LLM-Leaderboard Collection. 👉https://t.co/fdBKaKavgG

OpenMMLab's tweet photo. 🥳Try #MMBench to quantify the capabilities of your multimodal model. The new homepage is online.
👉https://t.co/QLHInRCYoT
🥰#OpenCompass MMBench Leaderboard was added to @huggingface Open-LLM-Leaderboard Collection.
👉https://t.co/fdBKaKavgG https://t.co/nFxVSRS2dd

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OpenMMLab @OpenMMLab

almost 3 years ago

🥳I just published Benchmarking the multi-modal capability of #Bard with #MMBench 🧐In order to provide an overview of Bard’s multi-modal ability, we evaluate it on the test split of MMBench as below and compare it with other state-of-the-art VLMs #Google https://t.co/PP2SILxpxX

OpenMMLab's tweet photo. 🥳I just published Benchmarking the multi-modal capability of #Bard with #MMBench
🧐In order to provide an overview of Bard’s multi-modal ability, we evaluate it on the test split of MMBench as below and compare it with other state-of-the-art VLMs #Google
https://t.co/PP2SILxpxX https://t.co/2UkUlVbVWb

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OpenMMLab @OpenMMLab

almost 3 years ago

🥳We have supported evaluation of our newly proposed benchmark for multi-modality learning, MMBench(dev split) in OpenCompass. Feel free to try #OpenCompass and #MMBench. 👉Go to https://t.co/q9KbTb5KDx for more results.

OpenMMLab's tweet photo. 🥳We have supported evaluation of our newly proposed benchmark for multi-modality learning, MMBench(dev split) in OpenCompass. Feel free to try #OpenCompass and #MMBench.
👉Go to https://t.co/q9KbTb5KDx for more results. https://t.co/UqA3PMA5Di

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