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MMR total
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Sum of all scores of the 11 distinct tasks involving texts, fonts, visual elements, bounding boxes, spatial relations, and grounding in the Multi-Modal Reading (MMR) Benchmark.
코드
관련 논문과 평가 결과에 연결된 구현입니다. 출처에서 확인된 저자 구현에는 공식 코드 표시가 있습니다.
https://github.com/huggingface/obelics
공식 코드OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
https://github.com/openai/evals
공식 코드https://github.com/opengvlab/internvl
공식 코드InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
https://github.com/qwenlm/qwen-vl
공식 코드Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
https://github.com/yuliang-liu/monkey
공식 코드Monkey: Image Resolution and Text Label Are Important Things for Large Multi-modal Models
https://github.com/AUCOHL/RTL-Repo
https://github.com/LLaVA-VL/LLaVA-NeXT
https://github.com/MindSpore-scientific-2/code-14/tree/main/idefics
OBELICS: An Open Web-Scale Filtered Dataset of Interleaved Image-Text Documents
https://github.com/ZhangYiqun018/StickerConv
https://github.com/brandon3964/multimodal-task-vector
Qwen-VL: A Versatile Vision-Language Model for Understanding, Localization, Text Reading, and Beyond
https://github.com/camenduru/llava-colab
https://github.com/computer-vision-in-the-wild/cvinw_readings
https://github.com/dinhvietcuong1996/icme25-inova
https://github.com/emrgnt-cmplxty/zero-shot-replication
https://github.com/eternityyw/tram-benchmark
https://github.com/ethz-privsec/superhuman-ai-consistency
https://github.com/ethz-spylab/superhuman-ai-consistency
https://github.com/gpt4life/alpagasus
https://github.com/huggingface/transformers
https://github.com/lflage/openfactscore
https://github.com/llava-annonymous/llava
https://github.com/opengvlab/internvl-mmdetseg
InternVL: Scaling up Vision Foundation Models and Aligning for Generic Visual-Linguistic Tasks
https://github.com/qi-zhangyang/gemini-vs-gpt4v
The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)
https://github.com/qiujihao19/artemis
https://github.com/shmsw25/factscore
https://github.com/skunkworksai/bakllava
https://github.com/sshh12/multi_token
https://github.com/sunsmarterjie/chatterbox
https://github.com/tabtoyou/kollava
https://github.com/unispac/visual-adversarial-examples-jailbreak-large-language-models
https://github.com/vista-h/gpt-4v_social_media
The Dawn of LMMs: Preliminary Explorations with GPT-4V(ision)
https://github.com/zach-zhiling-zheng/reticular_chemist
출처: Papers with Code · CC BY-SA 4.0. 아카이브 자료와 새로 수집한 논문은 별도로 관리합니다.