Artificial Intelligence – Telegram
Artificial Intelligence
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Artificial Intelligence

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OmniDocBench is a benchmark for evaluating diverse document parsing in real-world scenarios, featuring the following characteristics

🖥 Github: https://github.com/opendatalab/OmniDocBench

📕 Paper: https://arxiv.org/abs/2412.07626

🌟 Dataset: https://huggingface.co/datasets/opendatalab/OmniDocBench

@ArtificialIntelligencedl
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2DMatGMM: An open-source robust machine learning platform for real-time detection and classification of 2D material flakes

🖥 Github: https://github.com/jaluus/2dmatgmm

📕 Paper: https://arxiv.org/abs/2412.09333v1

🌟 Dataset: https://paperswithcode.com/task/instance-segmentation

@ArtificialIntelligencedl
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⚡️ Byte Latent Transformer: Patches Scale Better Than Tokens

Byte Latent Transformer architecture (BLTs), a new byte-level LLM architecture that for the first time, matches tokenization-based LLM performance at scale, with significant improvements in inference efficiency and robustness.

🖥 Github: https://github.com/facebookresearch/blt

📕 Paper: https://arxiv.org/abs/2412.09871v1

🌟 Dataset: https://paperswithcode.com/dataset/mmlu

@ArtificialIntelligencedl
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🀄 GuoFeng Webnovel: A Discourse-Level and Multilingual Corpus of Web Fiction

🖥 Github: https://github.com/longyuewangdcu/guofeng-webnovel

📕 Paper: https://arxiv.org/abs/2412.11732v1

🌟 Dataset: www2.statmt.org/wmt24/literary-trans

@ArtificialIntelligencedl
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Are They the Same? Exploring Visual Correspondence Shortcomings of Multimodal LLMs

🖥 Github: https://github.com/zhouyiks/CoLVA/tree/main

📕 Paper: https://arxiv.org/pdf/2501.04670v1.pdf

🌟 Dataset: https://paperswithcode.com/dataset/bdd100k

@ArtificialIntelligencedl
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Parameter-Inverted Image Pyramid Networks for Visual Perception and Multimodal Understanding

🖥 Github: https://github.com/opengvlab/piip

📕 Paper: https://arxiv.org/abs/2501.07783v1

🌟 Dataset: https://paperswithcode.com/dataset/gqa

@ArtificialIntelligencedl
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Continual Forgetting for Pre-trained Vision Models (CVPR2024)

🖥 Github: https://github.com/bjzhb666/GS-LoRA

📕 Paper: https://arxiv.org/abs/2501.09705v1

🧠 Dataset: https://paperswithcode.com/dataset/coco

@ArtificialIntelligencedl
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⭐️ Fast Think-on-Graph: Wider, Deeper and Faster Reasoning of Large Language Model on Knowledge Graph

🖥 Github: https://github.com/dosonleung/fasttog

📕 Paper: https://arxiv.org/abs/2501.14300v1

@ArtificialIntelligencedl
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⚡️Легкий способ получать свежие обновления и следить за трендами в разработке на вашем языке. Находите свой стек и подписывайтесь:

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Javanoscript: t.me/javanoscriptv
C#: t.me/csharp_ci
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Базы данных: t.me/sqlhub
Python собеседования: t.me/python_job_interview
Мобильная разработка: t.me/mobdevelop
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Собеседования МЛ: t.me/machinelearning_interview
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Разработка игр: https://news.1rj.ru/str/gamedev
Haskell: t.me/haskell_tg
Физика: t.me/fizmat

💼 Папка с вакансиями: t.me/addlist/_zyy_jQ_QUsyM2Vi
Папка Go разработчика: t.me/addlist/MUtJEeJSxeY2YTFi
Папка Python разработчика: t.me/addlist/eEPya-HF6mkxMGIy
Папка ML: https://news.1rj.ru/str/addlist/2Ls-snqEeytkMDgy
Папка FRONTEND: https://news.1rj.ru/str/addlist/mzMMG3RPZhY2M2Iy

😆ИТ-Мемы: t.me/memes_prog
🇬🇧Английский: t.me/english_forprogrammers
🧠ИИ: t.me/vistehno

🎓954ГБ ОПЕНСОРС КУРСОВ: @courses
📕Ит-книги бесплатно: https://news.1rj.ru/str/addlist/BkskQciUW_FhNjEy
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Demystifying Long Chain-of-Thought Reasoning in LLMs

🖥 paper
🧠 code

@ArtificialIntelligencedl
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CycleGuardian: A Framework for Automatic RespiratorySound classification Based on Improved Deep clustering and Contrastive Learning

🖥 Github: https://github.com/chumingqian/CycleGuardian

📕 Paper: https://arxiv.org/abs/2502.00734v1

🌟 Dataset: https://paperswithcode.com/dataset/icbhi-respiratory-sound-database

@ArtificialIntelligencedl
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⭐️ Light-A-Video: Training-free Video Relighting via Progressive Light Fusion

🖥 Github: https://github.com/bcmi/Light-A-Video

📕 Paper: https://arxiv.org/abs/2502.08590v1

🌟 Dataset: https://paperswithcode.com/task/image-relighting

@ArtificialIntelligencedl
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