🔹 Title: Imaginarium: Vision-guided High-Quality 3D Scene Layout Generation
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15564
• PDF: https://arxiv.org/pdf/2510.15564
• Github: https://github.com/HiHiAllen/Imaginarium
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15564
• PDF: https://arxiv.org/pdf/2510.15564
• Github: https://github.com/HiHiAllen/Imaginarium
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🔹 Title: Explore to Evolve: Scaling Evolved Aggregation Logic via Proactive Online Exploration for Deep Research Agents
🔹 Publication Date: Published on Oct 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14438
• PDF: https://arxiv.org/pdf/2510.14438
• Github: https://github.com/Tencent/WebAggregator
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/CognitiveKernel/WebAggregatorQA
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🔹 Publication Date: Published on Oct 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14438
• PDF: https://arxiv.org/pdf/2510.14438
• Github: https://github.com/Tencent/WebAggregator
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/CognitiveKernel/WebAggregatorQA
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🔹 Title: Paper2Web: Let's Make Your Paper Alive!
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15842
• PDF: https://arxiv.org/pdf/2510.15842
• Project Page: https://francischen3.github.io/P2W_Website/
• Github: https://github.com/YuhangChen1/Paper2All
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15842
• PDF: https://arxiv.org/pdf/2510.15842
• Project Page: https://francischen3.github.io/P2W_Website/
• Github: https://github.com/YuhangChen1/Paper2All
🔹 Datasets citing this paper:
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🔹 Title: Scaling Instruction-Based Video Editing with a High-Quality Synthetic Dataset
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15742
• PDF: https://arxiv.org/pdf/2510.15742
• Project Page: https://ezioby.github.io/Ditto_page
• Github: https://github.com/EzioBy/Ditto
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/QingyanBai/Ditto-1M
🔹 Spaces citing this paper:
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15742
• PDF: https://arxiv.org/pdf/2510.15742
• Project Page: https://ezioby.github.io/Ditto_page
• Github: https://github.com/EzioBy/Ditto
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/QingyanBai/Ditto-1M
🔹 Spaces citing this paper:
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🔹 Title: Latent Diffusion Model without Variational Autoencoder
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15301
• PDF: https://arxiv.org/pdf/2510.15301
• Project Page: https://howlin-wang.github.io/noscript/
• Github: https://github.com/shiml20/SVG
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15301
• PDF: https://arxiv.org/pdf/2510.15301
• Project Page: https://howlin-wang.github.io/noscript/
• Github: https://github.com/shiml20/SVG
🔹 Datasets citing this paper:
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🔹 Title: FinTrust: A Comprehensive Benchmark of Trustworthiness Evaluation in Finance Domain
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15232
• PDF: https://arxiv.org/pdf/2510.15232
• Github: https://github.com/HughieHu/FinTrust/
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/HughieHu/FinTrust
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15232
• PDF: https://arxiv.org/pdf/2510.15232
• Github: https://github.com/HughieHu/FinTrust/
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/HughieHu/FinTrust
🔹 Spaces citing this paper:
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🔹 Title: VISTA: A Test-Time Self-Improving Video Generation Agent
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15831
• PDF: https://arxiv.org/pdf/2510.15831
• Github: https://g-vista.github.io/
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15831
• PDF: https://arxiv.org/pdf/2510.15831
• Github: https://g-vista.github.io/
🔹 Datasets citing this paper:
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🔹 Title: Robust Layerwise Scaling Rules by Proper Weight Decay Tuning
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15262
• PDF: https://arxiv.org/pdf/2510.15262
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15262
• PDF: https://arxiv.org/pdf/2510.15262
🔹 Datasets citing this paper:
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🔹 Title: DLER: Doing Length pEnalty Right - Incentivizing More Intelligence per Token via Reinforcement Learning
🔹 Publication Date: Published on Oct 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15110
• PDF: https://arxiv.org/pdf/2510.15110
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15110
• PDF: https://arxiv.org/pdf/2510.15110
🔹 Datasets citing this paper:
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🔹 Title: Train a Unified Multimodal Data Quality Classifier with Synthetic Data
🔹 Publication Date: Published on Oct 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15162
• PDF: https://arxiv.org/pdf/2510.15162
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 16
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15162
• PDF: https://arxiv.org/pdf/2510.15162
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❤1
🔹 Title: Foundation Models for Scientific Discovery: From Paradigm Enhancement to Paradigm Transition
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15280
• PDF: https://arxiv.org/pdf/2510.15280
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15280
• PDF: https://arxiv.org/pdf/2510.15280
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🔹 Title: InfiMed-ORBIT: Aligning LLMs on Open-Ended Complex Tasks via Rubric-Based Incremental Training
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15859
• PDF: https://arxiv.org/pdf/2510.15859
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15859
• PDF: https://arxiv.org/pdf/2510.15859
🔹 Datasets citing this paper:
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🔹 Title: A^2FM: An Adaptive Agent Foundation Model for Tool-Aware Hybrid Reasoning
🔹 Publication Date: Published on Oct 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12838
• PDF: https://arxiv.org/pdf/2510.12838
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🔹 Publication Date: Published on Oct 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12838
• PDF: https://arxiv.org/pdf/2510.12838
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🔹 Title: Build Your Personalized Research Group: A Multiagent Framework for Continual and Interactive Science Automation
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15624
• PDF: https://arxiv.org/pdf/2510.15624
• Project Page: https://freephdlabor.github.io/
• Github: https://github.com/ltjed/freephdlabor
🔹 Datasets citing this paper:
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🔹 Spaces citing this paper:
• https://huggingface.co/spaces/edli/freephdlabor
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15624
• PDF: https://arxiv.org/pdf/2510.15624
• Project Page: https://freephdlabor.github.io/
• Github: https://github.com/ltjed/freephdlabor
🔹 Datasets citing this paper:
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• https://huggingface.co/spaces/edli/freephdlabor
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🔹 Title: Language Models Model Language
🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12766
• PDF: https://arxiv.org/pdf/2510.12766
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 14
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12766
• PDF: https://arxiv.org/pdf/2510.12766
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🔹 Title: ERGO: Entropy-guided Resetting for Generation Optimization in Multi-turn Language Models
🔹 Publication Date: Published on Oct 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14077
• PDF: https://arxiv.org/pdf/2510.14077
• Project Page: https://ergopaper.github.io/ERGO/
• Github: https://github.com/haziq-exe/ERGO
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🔹 Publication Date: Published on Oct 15
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.14077
• PDF: https://arxiv.org/pdf/2510.14077
• Project Page: https://ergopaper.github.io/ERGO/
• Github: https://github.com/haziq-exe/ERGO
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🔹 Title: Emergent Misalignment via In-Context Learning: Narrow in-context examples can produce broadly misaligned LLMs
🔹 Publication Date: Published on Oct 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11288
• PDF: https://arxiv.org/pdf/2510.11288
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 13
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11288
• PDF: https://arxiv.org/pdf/2510.11288
🔹 Datasets citing this paper:
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🔹 Title: A Theoretical Study on Bridging Internal Probability and Self-Consistency for LLM Reasoning
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15444
• PDF: https://arxiv.org/pdf/2510.15444
• Project Page: https://zhouz.dev/RPC/
• Github: https://github.com/WNJXYK/RPC/
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/WNJXYK/MathOdyssey-Reasoning-Paths
• https://huggingface.co/datasets/WNJXYK/AIME_1983_2024-Reasoning-Paths
• https://huggingface.co/datasets/WNJXYK/OlympiadBench-Reasoning-Paths
• https://huggingface.co/datasets/WNJXYK/MATH-Reasoning-Paths
🔹 Spaces citing this paper:
• https://huggingface.co/spaces/WNJXYK/RPC
==================================
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15444
• PDF: https://arxiv.org/pdf/2510.15444
• Project Page: https://zhouz.dev/RPC/
• Github: https://github.com/WNJXYK/RPC/
🔹 Datasets citing this paper:
• https://huggingface.co/datasets/WNJXYK/MathOdyssey-Reasoning-Paths
• https://huggingface.co/datasets/WNJXYK/AIME_1983_2024-Reasoning-Paths
• https://huggingface.co/datasets/WNJXYK/OlympiadBench-Reasoning-Paths
• https://huggingface.co/datasets/WNJXYK/MATH-Reasoning-Paths
🔹 Spaces citing this paper:
• https://huggingface.co/spaces/WNJXYK/RPC
==================================
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❤1
🔹 Title: DriveGen3D: Boosting Feed-Forward Driving Scene Generation with Efficient Video Diffusion
🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15264
• PDF: https://arxiv.org/pdf/2510.15264
🔹 Datasets citing this paper:
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🔹 Publication Date: Published on Oct 17
🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.15264
• PDF: https://arxiv.org/pdf/2510.15264
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❤2
🤖🧠 NanoChat: The Best ChatGPT That $100 Can Buy
🗓️ 20 Oct 2025
📚 AI News & Trends
In a world dominated by billion-dollar AI models like GPT-4 and Claude 3, it’s refreshing to see a minimalist, open-source alternative that puts the power of Large Language Models (LLMs) back into the hands of hackers, researchers and enthusiasts. Enter NanoChat – an end-to-end, full-stack implementation of a ChatGPT-style AI chatbot developed by Andrej Karpathy, ...
#NanoChat #ChatGPT #AI #LargeLanguageModels #OpenSource #AndrejKarpathy
🗓️ 20 Oct 2025
📚 AI News & Trends
In a world dominated by billion-dollar AI models like GPT-4 and Claude 3, it’s refreshing to see a minimalist, open-source alternative that puts the power of Large Language Models (LLMs) back into the hands of hackers, researchers and enthusiasts. Enter NanoChat – an end-to-end, full-stack implementation of a ChatGPT-style AI chatbot developed by Andrej Karpathy, ...
#NanoChat #ChatGPT #AI #LargeLanguageModels #OpenSource #AndrejKarpathy
🤖🧠 PaddleOCR-VL: Redefining Multilingual Document Parsing with a 0.9B Vision-Language Model
🗓️ 20 Oct 2025
📚 AI News & Trends
In an era where information is predominantly digital, the ability to extract, interpret and organize data from documents is crucial. From invoices and research papers to multilingual contracts and handwritten notes, document parsing stands at the intersection of vision and language. Traditional Optical Character Recognition (OCR) systems have made impressive strides but they often fall ...
#PaddleOCR-VL #Multilingual #DocumentParsing #VisionLanguageModel #OCR #AI
🗓️ 20 Oct 2025
📚 AI News & Trends
In an era where information is predominantly digital, the ability to extract, interpret and organize data from documents is crucial. From invoices and research papers to multilingual contracts and handwritten notes, document parsing stands at the intersection of vision and language. Traditional Optical Character Recognition (OCR) systems have made impressive strides but they often fall ...
#PaddleOCR-VL #Multilingual #DocumentParsing #VisionLanguageModel #OCR #AI