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PiEEG kit - bioscience Lab in home for your Brain and Body

🖥 Github: https://github.com/pieeg-club/PiEEG_Kit

📕 Paper: https://arxiv.org/abs/2503.13482

🌟 Methods: https://paperswithcode.com/task/eeg-1

@ArtificialIntelligencedl
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FastCuRL: Curriculum Reinforcement Learning with Progressive Context Extension for Efficient Training R1-like Reasoning Models

🖥 Github: https://github.com/nick7nlp/FastCuRL

📕 Paper: https://arxiv.org/abs/2503.17287v1

🌟 Tasks
: https://paperswithcode.com/task/language-modeling

@ArtificialIntelligencedl
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Harnessing the Reasoning Economy: A Survey of Efficient Reasoning for Large Language Models

🖥 Github: https://github.com/devoallen/awesome-reasoning-economy-papers

📕 Paper: https://arxiv.org/abs/2503.24377v1

@ArtificialIntelligencedl
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Effect-driven interpretation: Functors for natural language composition

🖥 Github: https://github.com/UCSC-VLAA/MedReason

📕 Paper: https://arxiv.org/abs/2504.00993v1

🔗 Tasks: https://paperswithcode.com/task/knowledge-graphs

@ArtificialIntelligencedl
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REPA-E: Unlocking VAE for End-to-End Tuning of Latent Diffusion Transformers

🖥 Github: https://github.com/End2End-Diffusion/REPA-E

📕 Paper: https://arxiv.org/abs/2504.10483

🔗 Dataset: https://paperswithcode.com/dataset/imagenet

@ArtificialIntelligencedl
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ReSpec: Relevance and Specificity Grounded Online Filtering for Learning on Video-Text Data Streams

🖥 Github: https://github.com/cdjkim/respec

📕 Paper: https://arxiv.org/abs/2504.14875v1

🔗 Dataset: https://paperswithcode.com/task/informativeness

@ArtificialIntelligencedl
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UniVLA: Learning to Act Anywhere with Task-centric Latent Actions

🖥 Github: https://github.com/opendrivelab/univla

📕 Paper: https://arxiv.org/abs/2505.06111v1

🔗 Dataset: https://paperswithcode.com/dataset/room-to-room

@ArtificialIntelligencedl
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Deliberation on Priors: Trustworthy Reasoning of Large Language Models on Knowledge Graphs

🖥 Github: https://github.com/reml-group/deliberation-on-priors

📕 Paper: https://arxiv.org/abs/2505.15210v1

@ArtificialIntelligencedl
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SpatialScore: Towards Unified Evaluation for Multimodal Spatial Understanding

🖥 Github: https://github.com/haoningwu3639/SpatialScore

📕 Paper: https://arxiv.org/abs/2505.17012v1

🔗 Tasks: https://paperswithcode.com/task/motion-estimation

@ArtificialIntelligencedl
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7 июня — идеальный день, чтобы NLP-специалисту получить оффер мечты! 😉

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EmergentTTS-Eval: Evaluating TTS Models on Complex Prosodic, Expressiveness, and Linguistic Challenges Using Model-as-a-Judge

🖥 Github: https://github.com/boson-ai/emergenttts-eval-public

📕 Paper: https://arxiv.org/abs/2505.23009v1

🔗 Tasks: https://paperswithcode.com/task/text-to-speech-1

@ArtificialIntelligencedl
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Bagged Deep Image Prior for Recovering Images in the Presence of Speckle Noise

🖥 Github: https://github.com/Computational-Imaging-RU/Bagged-DIP-Speckle

📕 Paper: https://arxiv.org/abs/2505.23594v1


@ArtificialIntelligencedl
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Здесь ты найдёшь всё это — коротко, по делу и без воды.
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Подпишись, если хочешь быть в числе тех, кого зовут в топовые проекты!
Exposure-slot: Exposure-centric representations learning with Slot-in-Slot Attention for Region-aware Exposure Correction (Official)

🖥 Github: https://github.com/kdhRick2222/Exposure-slot

📕 Paper: https://cvpr.thecvf.com/virtual/2025/poster/33508

🔗 Tasks: https://paperswithcode.com/dataset/exposure-errors

@ArtificialIntelligencedl
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2025/06/14 00:15:09
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