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
🌟 Tasks: https://paperswithcode.com/task/language-modeling
@ArtificialIntelligencedl
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Optimal Stepsize for Diffusion Sampling(OSS)
🖥 Github: https://github.com/bebebe666/optimalsteps
📕 Paper: https://arxiv.org/abs/2503.21774v1
🌟 Tasks: https://paperswithcode.com/task/denoising
@ArtificialIntelligencedl
🌟 Tasks: https://paperswithcode.com/task/denoising
@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
@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
🔗 Tasks: https://paperswithcode.com/task/knowledge-graphs
@ArtificialIntelligencedl
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Crystal Generation with Space Group Informed Transformer
🖥 Github: https://github.com/deepmodeling/crystalformer
📕 Paper: https://arxiv.org/abs/2504.02367v1
🔗 Dataset: https://paperswithcode.com/dataset/alex-20
@ArtificialIntelligencedl
🔗 Dataset: https://paperswithcode.com/dataset/alex-20
@ArtificialIntelligencedl
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ZClip: Adaptive Spike Mitigation for LLM Pre-Training
🖥 Github: https://github.com/bluorion-com/ZClip
📕 Paper: https://arxiv.org/abs/2504.02507v1
🔗 Dataset: https://paperswithcode.com/dataset/hellaswag
@ArtificialIntelligencedl
🔗 Dataset: https://paperswithcode.com/dataset/hellaswag
@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
🔗 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
🔗 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
🔗 Dataset: https://paperswithcode.com/dataset/room-to-room
@ArtificialIntelligencedl
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QuXAI: Explainers for Hybrid Quantum Machine Learning Models
🖥 Github: https://github.com/GitsSaikat/QuXAI
📕 Paper: https://arxiv.org/abs/2505.10167v1
🔗 Dataset: https://paperswithcode.com/task/quantum-machine-learning
@ArtificialIntelligencedl
🔗 Dataset: https://paperswithcode.com/task/quantum-machine-learning
@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
@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
🔗 Tasks: https://paperswithcode.com/task/motion-estimation
@ArtificialIntelligencedl
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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
🔗 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
@ArtificialIntelligencedl
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SWE-bench Goes Live
🖥 Github: https://github.com/microsoft/swe-bench-live
📕 Paper: https://arxiv.org/abs/2505.23419v1
🔗 Tasks: https://paperswithcode.com/dataset/humaneval
@ArtificialIntelligencedl
🔗 Tasks: https://paperswithcode.com/dataset/humaneval
@ArtificialIntelligencedl
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🔥 Успех в IT = скорость + знания + окружение
Здесь ты найдёшь всё это — коротко, по делу и без воды.
Пока другие ищут, где “подглядеть решение”, ты уже используешь самые свежие инструменты!
AI: t.iss.one/ai_machinelearning_big_data
Python: t.iss.one/pythonl
Linux: t.iss.one/linuxacademiya
Собеседования DS: t.iss.one/machinelearning_interview
C++ t.iss.one/cpluspluc
Docker: t.iss.one/DevopsDocker
Хакинг: t.iss.one/linuxkalii
Devops: t.iss.one/DevOPSitsec
Data Science: t.iss.one/data_analysis_ml
Javascript: t.iss.one/javascriptv
C#: t.iss.one/csharp_ci
Java: t.iss.one/java_library
Базы данных: t.iss.one/sqlhub
Python собеседования: t.iss.one/python_job_interview
Мобильная разработка: t.iss.one/mobdevelop
Golang: t.iss.one/Golang_google
React: t.iss.one/react_tg
Rust: t.iss.one/rust_code
ИИ: t.iss.one/vistehno
PHP: t.iss.one/phpshka
Android: t.iss.one/android_its
Frontend: t.iss.one/front
Big Data: t.iss.one/bigdatai
МАТЕМАТИКА: t.iss.one/data_math
Kubernets: t.iss.one/kubernetc
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Папка FRONTEND: https://t.iss.one/addlist/mzMMG3RPZhY2M2Iy
😆ИТ-Мемы: t.iss.one/memes_prog
🇬🇧Английский: t.iss.one/english_forprogrammers
🧠ИИ: t.iss.one/vistehno
🎓954ГБ ОПЕНСОРС КУРСОВ: @courses
📕Ит-книги бесплатно: https://t.iss.one/addlist/BkskQciUW_FhNjEy
Подпишись, если хочешь быть в числе тех, кого зовут в топовые проекты!
Здесь ты найдёшь всё это — коротко, по делу и без воды.
Пока другие ищут, где “подглядеть решение”, ты уже используешь самые свежие инструменты!
AI: t.iss.one/ai_machinelearning_big_data
Python: t.iss.one/pythonl
Linux: t.iss.one/linuxacademiya
Собеседования DS: t.iss.one/machinelearning_interview
C++ t.iss.one/cpluspluc
Docker: t.iss.one/DevopsDocker
Хакинг: t.iss.one/linuxkalii
Devops: t.iss.one/DevOPSitsec
Data Science: t.iss.one/data_analysis_ml
Javascript: t.iss.one/javascriptv
C#: t.iss.one/csharp_ci
Java: t.iss.one/java_library
Базы данных: t.iss.one/sqlhub
Python собеседования: t.iss.one/python_job_interview
Мобильная разработка: t.iss.one/mobdevelop
Golang: t.iss.one/Golang_google
React: t.iss.one/react_tg
Rust: t.iss.one/rust_code
ИИ: t.iss.one/vistehno
PHP: t.iss.one/phpshka
Android: t.iss.one/android_its
Frontend: t.iss.one/front
Big Data: t.iss.one/bigdatai
МАТЕМАТИКА: t.iss.one/data_math
Kubernets: t.iss.one/kubernetc
Разработка игр: https://t.iss.one/gamedev
Haskell: t.iss.one/haskell_tg
Физика: t.iss.one/fizmat
💼 Папка с вакансиями: t.iss.one/addlist/_zyy_jQ_QUsyM2Vi
Папка Go разработчика: t.iss.one/addlist/MUtJEeJSxeY2YTFi
Папка Python разработчика: t.iss.one/addlist/eEPya-HF6mkxMGIy
Папка ML: https://t.iss.one/addlist/2Ls-snqEeytkMDgy
Папка FRONTEND: https://t.iss.one/addlist/mzMMG3RPZhY2M2Iy
😆ИТ-Мемы: t.iss.one/memes_prog
🇬🇧Английский: t.iss.one/english_forprogrammers
🧠ИИ: t.iss.one/vistehno
🎓954ГБ ОПЕНСОРС КУРСОВ: @courses
📕Ит-книги бесплатно: https://t.iss.one/addlist/BkskQciUW_FhNjEy
Подпишись, если хочешь быть в числе тех, кого зовут в топовые проекты!
❤7👍3
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
🔗 Tasks: https://paperswithcode.com/dataset/exposure-errors
@ArtificialIntelligencedl
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Vine Copulas as Differentiable Computational Graphs
🖥 Github: https://github.com/TY-Cheng/torchvinecopulib
📕 Paper: https://arxiv.org/abs/2506.13318v1
🔗 Tasks: https://paperswithcode.com/task/scheduling
@ArtificialIntelligencedl
🔗 Tasks: https://paperswithcode.com/task/scheduling
@ArtificialIntelligencedl
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UniFork: Exploring Modality Alignment for Unified Multimodal Understanding and Generation
🖥 Github: https://github.com/tliby/unifork
📕 Paper: https://arxiv.org/abs/2506.17202v1
🔗 Dataset: https://paperswithcode.com/dataset/gqa
@ArtificialIntelligencedl
🔗 Dataset: https://paperswithcode.com/dataset/gqa
@ArtificialIntelligencedl
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