🤖🧠 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
🗓️ 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/
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🔹 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/
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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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🔹 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
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🔹 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
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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
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🔹 Publication Date: Published on Oct 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09510
• PDF: https://arxiv.org/pdf/2510.09510
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🔹 Title: GTAlign: Game-Theoretic Alignment of LLM Assistants for Mutual Welfare
🔹 Publication Date: Published on Oct 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08872
• PDF: https://arxiv.org/pdf/2510.08872
• Github: https://github.com/ulab-uiuc/GTAlign
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🔹 Publication Date: Published on Oct 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08872
• PDF: https://arxiv.org/pdf/2510.08872
• Github: https://github.com/ulab-uiuc/GTAlign
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🔹 Title: Understanding DeepResearch via Reports
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07861
• PDF: https://arxiv.org/pdf/2510.07861
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🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07861
• PDF: https://arxiv.org/pdf/2510.07861
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🔹 Title: A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Tasks
🔹 Publication Date: Published on Oct 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05608
• PDF: https://arxiv.org/pdf/2510.05608
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05608
• PDF: https://arxiv.org/pdf/2510.05608
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🔹 Title: Mitigating Overthinking through Reasoning Shaping
🔹 Publication Date: Published on Oct 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09535
• PDF: https://arxiv.org/pdf/2510.09535
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🔹 Publication Date: Published on Oct 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09535
• PDF: https://arxiv.org/pdf/2510.09535
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🔹 Title: Speculative Jacobi-Denoising Decoding for Accelerating Autoregressive Text-to-image Generation
🔹 Publication Date: Published on Oct 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2510.08994
• PDF: https://arxiv.org/pdf/2510.08994
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🔹 Publication Date: Published on Oct 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2510.08994
• PDF: https://arxiv.org/pdf/2510.08994
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🤖🧠 Quivr AI: Building Your Second Brain with Open-Source Generative Intelligence
🗓️ 12 Oct 2025
📚 AI News & Trends
In the rapidly evolving landscape of artificial intelligence, developers and businesses are seeking solutions that merge flexibility, power, and simplicity. Enter Quivr — an open-source framework designed to help you build your own “second brain” powered by Generative AI. Whether you’re an indie developer, startup founder or enterprise engineer, it makes it possible to integrate ...
#QuivrAI #SecondBrain #GenerativeAI #OpenSourceAI #AIFramework #AIProductivity
🗓️ 12 Oct 2025
📚 AI News & Trends
In the rapidly evolving landscape of artificial intelligence, developers and businesses are seeking solutions that merge flexibility, power, and simplicity. Enter Quivr — an open-source framework designed to help you build your own “second brain” powered by Generative AI. Whether you’re an indie developer, startup founder or enterprise engineer, it makes it possible to integrate ...
#QuivrAI #SecondBrain #GenerativeAI #OpenSourceAI #AIFramework #AIProductivity
🔹 Title: ACE: Attribution-Controlled Knowledge Editing for Multi-hop Factual Recall
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07896
• PDF: https://arxiv.org/pdf/2510.07896
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🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07896
• PDF: https://arxiv.org/pdf/2510.07896
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🔹 Title: DISCO: Diversifying Sample Condensation for Efficient Model Evaluation
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07959
• PDF: https://arxiv.org/pdf/2510.07959
• Github: https://github.com/arubique/disco-public
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🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07959
• PDF: https://arxiv.org/pdf/2510.07959
• Github: https://github.com/arubique/disco-public
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❤1
🔹 Title: D2E: Scaling Vision-Action Pretraining on Desktop Data for Transfer to Embodied AI
🔹 Publication Date: Published on Oct 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05684
• PDF: https://arxiv.org/pdf/2510.05684
• Project Page: https://worv-ai.github.io/d2e/
• Github: https://worv-ai.github.io/d2e/
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🔹 Publication Date: Published on Oct 7
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.05684
• PDF: https://arxiv.org/pdf/2510.05684
• Project Page: https://worv-ai.github.io/d2e/
• Github: https://worv-ai.github.io/d2e/
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🔹 Title: One Patch to Caption Them All: A Unified Zero-Shot Captioning Framework
🔹 Publication Date: Published on Oct 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02898
• PDF: https://arxiv.org/pdf/2510.02898
• Project Page: https://paciosoft.com/Patch-ioner/
• Github: https://github.com/Ruggero1912/Patch-ioner
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/Ruggero1912/Trace_Captioning_COCO
• https://huggingface.co/datasets/Ruggero1912/Trace_Captioning_Flickr30K
🔹 Spaces citing this paper:
• https://huggingface.co/spaces/Ruggero1912/Patch-ioner
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🔹 Publication Date: Published on Oct 3
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.02898
• PDF: https://arxiv.org/pdf/2510.02898
• Project Page: https://paciosoft.com/Patch-ioner/
• Github: https://github.com/Ruggero1912/Patch-ioner
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/Ruggero1912/Trace_Captioning_COCO
• https://huggingface.co/datasets/Ruggero1912/Trace_Captioning_Flickr30K
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• https://huggingface.co/spaces/Ruggero1912/Patch-ioner
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🔹 Title: Better Together: Leveraging Unpaired Multimodal Data for Stronger Unimodal Models
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08492
• PDF: https://arxiv.org/pdf/2510.08492
• Project Page: https://unpaired-multimodal.github.io/
• Github: https://github.com/Sharut/Unpaired-Multimodal-Learning/
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🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08492
• PDF: https://arxiv.org/pdf/2510.08492
• Project Page: https://unpaired-multimodal.github.io/
• Github: https://github.com/Sharut/Unpaired-Multimodal-Learning/
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❤1
🔹 Title: Bridging Reasoning to Learning: Unmasking Illusions using Complexity Out of Distribution Generalization
🔹 Publication Date: Published on Oct 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06274
• PDF: https://arxiv.org/pdf/2510.06274
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🔹 Publication Date: Published on Oct 6
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06274
• PDF: https://arxiv.org/pdf/2510.06274
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🔹 Title: Adaptive Attacks on Trusted Monitors Subvert AI Control Protocols
🔹 Publication Date: Published on Oct 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09462
• PDF: https://arxiv.org/pdf/2510.09462
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🔹 Publication Date: Published on Oct 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09462
• PDF: https://arxiv.org/pdf/2510.09462
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🔹 Title: KORMo: Korean Open Reasoning Model for Everyone
🔹 Publication Date: Published on Oct 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09426
• PDF: https://arxiv.org/pdf/2510.09426
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/KORMo-Team/IF-bilingual-sft
• https://huggingface.co/datasets/KORMo-Team/Cosmopedia-ko-synth
• https://huggingface.co/datasets/KORMo-Team/UltraFineWeb-ko-synth
• https://huggingface.co/datasets/KORMo-Team/OpenCodeReasoning-ko-synth
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🔹 Publication Date: Published on Oct 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09426
• PDF: https://arxiv.org/pdf/2510.09426
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/KORMo-Team/IF-bilingual-sft
• https://huggingface.co/datasets/KORMo-Team/Cosmopedia-ko-synth
• https://huggingface.co/datasets/KORMo-Team/UltraFineWeb-ko-synth
• https://huggingface.co/datasets/KORMo-Team/OpenCodeReasoning-ko-synth
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🔹 Title: Which Heads Matter for Reasoning? RL-Guided KV Cache Compression
🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08525
• PDF: https://arxiv.org/pdf/2510.08525
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🔹 Publication Date: Published on Oct 9
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08525
• PDF: https://arxiv.org/pdf/2510.08525
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🔹 Title: Hybrid-grained Feature Aggregation with Coarse-to-fine Language Guidance for Self-supervised Monocular Depth Estimation
🔹 Publication Date: Published on Oct 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2510.09320%5D
• PDF: https://arxiv.org/pdf/2510.09320
• Github: https://github.com/Zhangwenyao1/Hybrid-depth%5D
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🔹 Publication Date: Published on Oct 10
🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2510.09320%5D
• PDF: https://arxiv.org/pdf/2510.09320
• Github: https://github.com/Zhangwenyao1/Hybrid-depth%5D
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