🔹 Title: SpaceVista: All-Scale Visual Spatial Reasoning from mm to km

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09606
• PDF: https://arxiv.org/pdf/2510.09606
• Project Page: https://peiwensun2000.github.io/mm2km/
• Github: https://github.com/PeiwenSun2000/SpaceVista

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/SpaceVista/Data-Preview

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🔹 Title: Mind-Paced Speaking: A Dual-Brain Approach to Real-Time Reasoning in Spoken Language Models

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09592
• PDF: https://arxiv.org/pdf/2510.09592
• Github: https://github.com/stepfun-ai/Step-MPS

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🔹 Title: Dyna-Mind: Learning to Simulate from Experience for Better AI Agents

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09577
• PDF: https://arxiv.org/pdf/2510.09577

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🔹 Title: Pseudo2Real: Task Arithmetic for Pseudo-Label Correction in Automatic Speech Recognition

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://www.arxiv.org/abs/2510.08047
• PDF: https://arxiv.org/pdf/2510.08047

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🤖🧠 Try Powerful Mem0 AI to build Long-Term Memory for AI Agents

🗓️ 12 Oct 2025
📚 AI News & Trends

Artificial Intelligence has made incredible leaps in recent years from chatbots that converse naturally to AI agents capable of reasoning and decision-making. However, one major limitation has persisted: memory. Traditional large language models (LLMs) like ChatGPT or Claude can process vast data but fail to remember context across long interactions. This is where Mem0 AI, ...

#Mem0AI #AIAgents #LongTermMemory #ArtificialIntelligence #AIMemory #LLMs

🔹 Title: Thinking with Camera: A Unified Multimodal Model for Camera-Centric Understanding and Generation

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08673
• PDF: https://arxiv.org/pdf/2510.08673
• Project Page: https://kangliao929.github.io/projects/puffin/
• Github: https://github.com/KangLiao929/Puffin

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/KangLiao/Puffin-4M

🔹 Spaces citing this paper:
• https://huggingface.co/spaces/KangLiao/Puffin
• https://huggingface.co/spaces/wusize/Puffin
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🔹 Title: Webscale-RL: Automated Data Pipeline for Scaling RL Data to Pretraining Levels

🔹 Publication Date: Published on Oct 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06499
• PDF: https://arxiv.org/pdf/2510.06499
• Project Page: https://huggingface.co/datasets/Salesforce/Webscale-RL
• Github: https://github.com/SalesforceAIResearch/PretrainRL-pipeline

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/Salesforce/Webscale-RL

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🔹 Title: Progressive Gaussian Transformer with Anisotropy-aware Sampling for Open Vocabulary Occupancy Prediction

🔹 Publication Date: Published on Oct 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04759
• PDF: https://arxiv.org/pdf/2510.04759
• Project Page: https://yanchi-3dv.github.io/PG-Occ/
• Github: https://github.com/yanchi-3dv/PG-Occ

🔹 Datasets citing this paper:
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🔹 Title: Multimodal Prompt Optimization: Why Not Leverage Multiple Modalities for MLLMs

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09201
• PDF: https://arxiv.org/pdf/2510.09201
• Github: https://github.com/Dozi01/MPO

🔹 Datasets citing this paper:
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🔹 Title: R-Horizon: How Far Can Your Large Reasoning Model Really Go in Breadth and Depth?

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08189
• PDF: https://arxiv.org/pdf/2510.08189

🔹 Datasets citing this paper:
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🔹 Title: Parallel Test-Time Scaling for Latent Reasoning Models

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07745
• PDF: https://arxiv.org/pdf/2510.07745
• Github: https://github.com/YRYangang/LatentTTS

🔹 Datasets citing this paper:
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🔹 Title: TC-LoRA: Temporally Modulated Conditional LoRA for Adaptive Diffusion Control

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09561
• PDF: https://arxiv.org/pdf/2510.09561

🔹 Datasets citing this paper:
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🔹 Title: PhysToolBench: Benchmarking Physical Tool Understanding for MLLMs

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09507
• PDF: https://arxiv.org/pdf/2510.09507
• Github: https://github.com/EnVision-Research/PhysToolBench

🔹 Datasets citing this paper:
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🔹 Title: BigCodeArena: Unveiling More Reliable Human Preferences in Code Generation via Execution

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08697
• PDF: https://arxiv.org/pdf/2510.08697

🔹 Datasets citing this paper:
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🔹 Title: Temporal Prompting Matters: Rethinking Referring Video Object Segmentation

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07319
• PDF: https://arxiv.org/pdf/2510.07319

🔹 Datasets citing this paper:
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🔹 Title: Instant4D: 4D Gaussian Splatting in Minutes

🔹 Publication Date: Published on Oct 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01119
• PDF: https://arxiv.org/pdf/2510.01119

🔹 Datasets citing this paper:
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🤖🧠 Top 20 Ultimate Bollywood Diwali Portrait Ideas for Women Using Gemini AI

🗓️ 12 Oct 2025
📚 AI News & Trends

Diwali 2025 is around the corner, and celebrations are not just about lights and sweets anymore. With Gemini AI, you can now transform your selfies into cinematic, vintage Bollywood-style portraits that capture the nostalgic charm of the 90s. From glowing diyas to intricate lehengas and sarees, Gemini AI allows you to bring the festival of ...

#BollywoodDiwali #GeminiAI #FestivalPortraits #Diwali2025 #AIImageGeneration #WomenFashion

🔹 Title: StatEval: A Comprehensive Benchmark for Large Language Models in Statistics

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09517
• PDF: https://arxiv.org/pdf/2510.09517
• Github: https://stateval.github.io/

🔹 Datasets citing this paper:
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🔹 Title: ARES: Multimodal Adaptive Reasoning via Difficulty-Aware Token-Level Entropy Shaping

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08457
• PDF: https://arxiv.org/pdf/2510.08457
• Github: https://github.com/shawn0728/ARES

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/ares0728/ARES-Adaptive-Coldstart
• https://huggingface.co/datasets/ares0728/ARES-hard-validation

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🔹 Title: AutoPR: Let's Automate Your Academic Promotion!

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09558
• PDF: https://arxiv.org/pdf/2510.09558
• Project Page: https://yzweak.github.io/autopr.github.io/
• Github: https://github.com/LightChen233/AutoPR

🔹 Datasets citing this paper:
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🔹 Title: MRMR: A Realistic and Expert-Level Multidisciplinary Benchmark for Reasoning-Intensive Multimodal Retrieval

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09510
• PDF: https://arxiv.org/pdf/2510.09510

🔹 Datasets citing this paper:
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