🔹 Title: MultiCOIN: Multi-Modal COntrollable Video INbetweening

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.08561
• PDF: https://arxiv.org/pdf/2510.08561

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🔹 Title: oMeBench: Towards Robust Benchmarking of LLMs in Organic Mechanism Elucidation and Reasoning

🔹 Publication Date: Published on Oct 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07731
• PDF: https://arxiv.org/pdf/2510.07731
• Github: https://github.com/skylarkie/oMeBench

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🔹 Title: VLM-Guided Adaptive Negative Prompting for Creative Generation

🔹 Publication Date: Published on Oct 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.10715
• PDF: https://arxiv.org/pdf/2510.10715
• Github: https://shelley-golan.github.io/VLM-Guided-Creative-Generation/

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🤖🧠 Thinking with Camera 2.0: A Powerful Multimodal Model for Camera-Centric Understanding and Generation

🗓️ 14 Oct 2025
📚 AI News & Trends

In the rapidly evolving field of multimodal AI, bridging gaps between vision, language and geometry is one of the frontier challenges. Traditional vision-language models excel at describing what is in an image “a cat on a sofa” “a red car on the road” but struggle to reason about how the image was captured: the camera’s ...

#MultimodalAI #CameraCentricUnderstanding #VisionLanguageModels #AIResearch #ComputerVision #GenerativeModels

🤖🧠 Granite-Speech-3.3-8B: IBM’s Next-Gen Speech-Language Model for Enterprise AI

🗓️ 14 Oct 2025
📚 AI News & Trends

In the fast-growing field of speech and language AI, IBM continues to make strides with its Granite model family , a suite of open enterprise-grade AI models that combine accuracy, safety and efficiency. The latest addition to this ecosystem, Granite-Speech-3.3-8B marks a significant milestone in automatic speech recognition (ASR) and speech translation (AST) technology. Released ...

#SpeechAI #LanguageModel #EnterpriseAI #ASR #SpeechTranslation #GraniteModel

🤖🧠 LLaMAX2 by Nanjing University, HKU, CMU & Shanghai AI Lab: A Breakthrough in Translation-Enhanced Reasoning Models

🗓️ 14 Oct 2025
📚 AI News & Trends

The world of large language models (LLMs) has evolved rapidly, producing advanced systems capable of reasoning, problem-solving, and creative text generation. However, a persistent challenge has been balancing translation quality with reasoning ability. Most translation-enhanced models excel in linguistic diversity but falter in logical reasoning or coding tasks. Addressing this crucial gap, the research paper ...

#LLaMAX2 #TranslationEnhanced #ReasoningModels #LargeLanguageModels #NanjingUniversity #HKU

🤖🧠 Diffusion Transformers with Representation Autoencoders (RAE): The Next Leap in Generative AI

🗓️ 14 Oct 2025
📚 AI News & Trends

Diffusion Transformers (DiTs) have revolutionized image and video generation enabling stunningly realistic outputs in systems like Stable Diffusion and Imagen. However, despite innovations in transformer architectures and training methods, one crucial element of the diffusion pipeline has remained largely stagnant- the autoencoder that defines the latent space. Most current diffusion models still depend on Variational ...

#DiffusionTransformers #RAE #GenerativeAI #StableDiffusion #Imagen #LatentSpace

🔹 Title: FlashVSR: Towards Real-Time Diffusion-Based Streaming Video Super-Resolution

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12747
• PDF: https://arxiv.org/pdf/2510.12747
• Project Page: https://zhuang2002.github.io/FlashVSR/
• Github: https://github.com/OpenImagingLab/FlashVSR

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🔹 Title: Memory as Action: Autonomous Context Curation for Long-Horizon Agentic Tasks

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12635
• PDF: https://arxiv.org/pdf/2510.12635

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🔹 Title: Advancing End-to-End Pixel Space Generative Modeling via Self-supervised Pre-training

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12586
• PDF: https://arxiv.org/pdf/2510.12586
• Github: https://github.com/AMAP-ML/EPG

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🔹 Title: LLM Reasoning for Machine Translation: Synthetic Data Generation over Thinking Tokens

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11919
• PDF: https://arxiv.org/pdf/2510.11919
• Github: https://github.com/ArmelRandy/llm-reasoning-mt

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🔹 Title: DeepMMSearch-R1: Empowering Multimodal LLMs in Multimodal Web Search

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12801
• PDF: https://arxiv.org/pdf/2510.12801

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🔹 Title: Detect Anything via Next Point Prediction

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12798
• PDF: https://arxiv.org/pdf/2510.12798
• Project Page: https://rex-omni.github.io/
• Github: https://github.com/IDEA-Research/Rex-Omni

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🔹 Title: UniFusion: Vision-Language Model as Unified Encoder in Image Generation

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12789
• PDF: https://arxiv.org/pdf/2510.12789
• Project Page: https://thekevinli.github.io/unifusion/

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🔹 Title: DITING: A Multi-Agent Evaluation Framework for Benchmarking Web Novel Translation

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09116
• PDF: https://arxiv.org/pdf/2510.09116
• Github: https://github.com/WHUNextGen/DITING

🔹 Datasets citing this paper:
• https://huggingface.co/datasets/NextGenWhu/DITING

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🔹 Title: Scaling Language-Centric Omnimodal Representation Learning

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11693
• PDF: https://arxiv.org/pdf/2510.11693
• Project Page: https://huggingface.co/LCO-Embedding
• Github: https://github.com/LCO-Embedding/LCO-Embedding

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🔹 Title: A Survey of Vibe Coding with Large Language Models

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12399
• PDF: https://arxiv.org/pdf/2510.12399
• Github: https://github.com/YuyaoGe/Awesome-Vibe-Coding

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🔹 Title: ERA: Transforming VLMs into Embodied Agents via Embodied Prior Learning and Online Reinforcement Learning

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12693
• PDF: https://arxiv.org/pdf/2510.12693
• Project Page: https://embodied-reasoning-agent.github.io
• Github: https://embodied-reasoning-agent.github.io

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🔹 Title: Boundary-Guided Policy Optimization for Memory-efficient RL of Diffusion Large Language Models

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2510.11683
• PDF: https://arxiv.org/pdf/2510.11683
• Github: https://github.com/THU-KEG/BGPO

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🔹 Title: SRUM: Fine-Grained Self-Rewarding for Unified Multimodal Models

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12784
• PDF: https://arxiv.org/pdf/2510.12784
• Project Page: https://waynejin0918.github.io/srum_web/
• Github: https://github.com/WayneJin0918/SRUM

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🔹 Title: Dr.LLM: Dynamic Layer Routing in LLMs

🔹 Publication Date: Published on Oct 14

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.12773
• PDF: https://arxiv.org/pdf/2510.12773
• Github: https://github.com/parameterlab/dr-llm

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