Top Tweets for #MMBench
🧵 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.

🥳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

🥳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.

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