🔹 Title: Mini-o3: Scaling Up Reasoning Patterns and Interaction Turns for Visual Search
🔹 Publication Date: Published on Sep 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07969
• PDF: https://arxiv.org/pdf/2509.07969
• Project Page: https://mini-o3.github.io/
• Github: https://github.com/Mini-o3/Mini-o3
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🔹 Publication Date: Published on Sep 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07969
• PDF: https://arxiv.org/pdf/2509.07969
• Project Page: https://mini-o3.github.io/
• Github: https://github.com/Mini-o3/Mini-o3
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🔹 Title: Visual Representation Alignment for Multimodal Large Language Models
🔹 Publication Date: Published on Sep 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07979
• PDF: https://arxiv.org/pdf/2509.07979
• Project Page: https://cvlab-kaist.github.io/VIRAL/
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🔹 Publication Date: Published on Sep 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07979
• PDF: https://arxiv.org/pdf/2509.07979
• Project Page: https://cvlab-kaist.github.io/VIRAL/
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🔹 Title: SimpleQA Verified: A Reliable Factuality Benchmark to Measure Parametric Knowledge
🔹 Publication Date: Published on Sep 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07968
• PDF: https://arxiv.org/pdf/2509.07968
• Project Page: https://www.kaggle.com/benchmarks/deepmind/simpleqa-verified
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🔹 Publication Date: Published on Sep 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07968
• PDF: https://arxiv.org/pdf/2509.07968
• Project Page: https://www.kaggle.com/benchmarks/deepmind/simpleqa-verified
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🔹 Title: F1: A Vision-Language-Action Model Bridging Understanding and Generation to Actions
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06951
• PDF: https://arxiv.org/pdf/2509.06951
• Github: https://github.com/InternRobotics/F1-VLA
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06951
• PDF: https://arxiv.org/pdf/2509.06951
• Github: https://github.com/InternRobotics/F1-VLA
🔹 Datasets citing this paper:
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🔹 Title: Reconstruction Alignment Improves Unified Multimodal Models
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07295
• PDF: https://arxiv.org/pdf/2509.07295
• Project Page: https://reconstruction-alignment.github.io/
• Github: https://github.com/HorizonWind2004/reconstruction-alignment
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07295
• PDF: https://arxiv.org/pdf/2509.07295
• Project Page: https://reconstruction-alignment.github.io/
• Github: https://github.com/HorizonWind2004/reconstruction-alignment
🔹 Datasets citing this paper:
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🔹 Title: Language Self-Play For Data-Free Training
🔹 Publication Date: Published on Sep 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07414
• PDF: https://arxiv.org/pdf/2509.07414
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07414
• PDF: https://arxiv.org/pdf/2509.07414
🔹 Datasets citing this paper:
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🔹 Title: UMO: Scaling Multi-Identity Consistency for Image Customization via Matching Reward
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06818
• PDF: https://arxiv.org/pdf/2509.06818
• Project Page: https://bytedance.github.io/UMO/
• Github: https://bytedance.github.io/UMO/
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
• https://huggingface.co/spaces/bytedance-research/UMO_OmniGen2
• https://huggingface.co/spaces/bytedance-research/UMO_UNO
==================================
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🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06818
• PDF: https://arxiv.org/pdf/2509.06818
• Project Page: https://bytedance.github.io/UMO/
• Github: https://bytedance.github.io/UMO/
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
• https://huggingface.co/spaces/bytedance-research/UMO_OmniGen2
• https://huggingface.co/spaces/bytedance-research/UMO_UNO
==================================
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🔹 Title: Causal Attention with Lookahead Keys
🔹 Publication Date: Published on Sep 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07301
• PDF: https://arxiv.org/pdf/2509.07301
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07301
• PDF: https://arxiv.org/pdf/2509.07301
🔹 Datasets citing this paper:
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🔹 Title: Q-Sched: Pushing the Boundaries of Few-Step Diffusion Models with Quantization-Aware Scheduling
🔹 Publication Date: Published on Sep 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.01624
• PDF: https://arxiv.org/pdf/2509.01624
• Github: https://github.com/enyac-group/q-sched
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 1
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.01624
• PDF: https://arxiv.org/pdf/2509.01624
• Github: https://github.com/enyac-group/q-sched
🔹 Datasets citing this paper:
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🔹 Title: Curia: A Multi-Modal Foundation Model for Radiology
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06830
• PDF: https://arxiv.org/pdf/2509.06830
• Project Page: https://huggingface.co/raidium/curia
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06830
• PDF: https://arxiv.org/pdf/2509.06830
• Project Page: https://huggingface.co/raidium/curia
🔹 Datasets citing this paper:
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🔹 Title: ΔL Normalization: Rethink Loss Aggregation in RLVR
🔹 Publication Date: Published on Sep 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07558
• PDF: https://arxiv.org/pdf/2509.07558
• Github: https://github.com/zerolllin/Delta-L-Normalization
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07558
• PDF: https://arxiv.org/pdf/2509.07558
• Github: https://github.com/zerolllin/Delta-L-Normalization
🔹 Datasets citing this paper:
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❤1
🔹 Title: Directly Aligning the Full Diffusion Trajectory with Fine-Grained Human Preference
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06942
• PDF: https://arxiv.org/pdf/2509.06942
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06942
• PDF: https://arxiv.org/pdf/2509.06942
🔹 Datasets citing this paper:
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❤1
🔹 Title: Emergent Hierarchical Reasoning in LLMs through Reinforcement Learning
🔹 Publication Date: Published on Sep 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.03646
• PDF: https://arxiv.org/pdf/2509.03646
• Project Page: https://tiger-ai-lab.github.io/Hierarchical-Reasoner/
• Github: https://github.com/TIGER-AI-Lab/Hierarchical-Reasoner
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.03646
• PDF: https://arxiv.org/pdf/2509.03646
• Project Page: https://tiger-ai-lab.github.io/Hierarchical-Reasoner/
• Github: https://github.com/TIGER-AI-Lab/Hierarchical-Reasoner
🔹 Datasets citing this paper:
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🔹 Title: Benchmarking Information Retrieval Models on Complex Retrieval Tasks
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07253
• PDF: https://arxiv.org/pdf/2509.07253
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/jfkback/crumb
🔹 Spaces citing this paper:
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🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.07253
• PDF: https://arxiv.org/pdf/2509.07253
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/jfkback/crumb
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❤2
Forwarded from PyData Careers
حوّل فكرتك إلى مشروع ناجح مع #سهول 🚀
منصّة عربية متكاملة لإدارة المشاريع تعتمد على الذكاء الاصطناعي، لتنظيم مهامك وفريقك بسهولة ومرونة.
جرّب النسخة التجريبية الآن مجاناً على: suhol.ai
للاستفسارات مجموعة سهول على تيليجرام: @suhol_ai
#إدارة_المشاريع #ذكاء_اصطناعي #kanban #مشاريع #تطوير
منصّة عربية متكاملة لإدارة المشاريع تعتمد على الذكاء الاصطناعي، لتنظيم مهامك وفريقك بسهولة ومرونة.
جرّب النسخة التجريبية الآن مجاناً على: suhol.ai
للاستفسارات مجموعة سهول على تيليجرام: @suhol_ai
#إدارة_المشاريع #ذكاء_اصطناعي #kanban #مشاريع #تطوير
🔹 Title: From Noise to Narrative: Tracing the Origins of Hallucinations in Transformers
🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06938
• PDF: https://arxiv.org/pdf/2509.06938
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 8
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.06938
• PDF: https://arxiv.org/pdf/2509.06938
🔹 Datasets citing this paper:
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🔹 Title: Sharing is Caring: Efficient LM Post-Training with Collective RL Experience Sharing
🔹 Publication Date: Published on Sep 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.08721
• PDF: https://arxiv.org/pdf/2509.08721
• Project Page: https://github.com/gensyn-ai/rl-swarm
• Github: https://github.com/gensyn-ai/rl-swarm
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🔹 Publication Date: Published on Sep 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.08721
• PDF: https://arxiv.org/pdf/2509.08721
• Project Page: https://github.com/gensyn-ai/rl-swarm
• Github: https://github.com/gensyn-ai/rl-swarm
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🔹 Title: A Survey of Reinforcement Learning for Large Reasoning Models
🔹 Publication Date: Published on Sep 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.08827
• PDF: https://arxiv.org/pdf/2509.08827
• Project Page: https://github.com/TsinghuaC3I/Awesome-RL-for-LRMs
• Github: https://github.com/TsinghuaC3I/Awesome-RL-for-LRMs
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Sep 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.08827
• PDF: https://arxiv.org/pdf/2509.08827
• Project Page: https://github.com/TsinghuaC3I/Awesome-RL-for-LRMs
• Github: https://github.com/TsinghuaC3I/Awesome-RL-for-LRMs
🔹 Datasets citing this paper:
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🔹 Title: RewardDance: Reward Scaling in Visual Generation
🔹 Publication Date: Published on Sep 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.08826
• PDF: https://arxiv.org/pdf/2509.08826
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🔹 Publication Date: Published on Sep 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.08826
• PDF: https://arxiv.org/pdf/2509.08826
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🔹 Title: Hunyuan-MT Technical Report
🔹 Publication Date: Published on Sep 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.05209
• PDF: https://arxiv.org/pdf/2509.05209
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
• https://huggingface.co/spaces/umint/searchgpt
• https://huggingface.co/spaces/akhaliq/Hunyuan-MT-7B
• https://huggingface.co/spaces/umint/gemma-3-270m
• https://huggingface.co/spaces/Alae65/hunyuan-mt-translator
• https://huggingface.co/spaces/ailan-ai/HY-MT-Demo
==================================
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🔹 Publication Date: Published on Sep 5
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2509.05209
• PDF: https://arxiv.org/pdf/2509.05209
🔹 Datasets citing this paper:
No datasets found
🔹 Spaces citing this paper:
• https://huggingface.co/spaces/umint/searchgpt
• https://huggingface.co/spaces/akhaliq/Hunyuan-MT-7B
• https://huggingface.co/spaces/umint/gemma-3-270m
• https://huggingface.co/spaces/Alae65/hunyuan-mt-translator
• https://huggingface.co/spaces/ailan-ai/HY-MT-Demo
==================================
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