🔹 Title: ACADREASON: Exploring the Limits of Reasoning Models with Academic Research Problems

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11652
• PDF: https://arxiv.org/pdf/2510.11652

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🔹 Title: InternSVG: Towards Unified SVG Tasks with Multimodal Large Language Models

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11341
• PDF: https://arxiv.org/pdf/2510.11341
• Project Page: https://hmwang2002.github.io/release/internsvg/
• Github: https://github.com/hmwang2002/InternSVG

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🔹 Title: From Data to Rewards: a Bilevel Optimization Perspective on Maximum Likelihood Estimation

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.07624
• PDF: https://arxiv.org/pdf/2510.07624
• Github: https://github.com/abenechehab/nll_to_po

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🔹 Title: Latent Refinement Decoding: Enhancing Diffusion-Based Language Models by Refining Belief States

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11052
• PDF: https://arxiv.org/pdf/2510.11052

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🔹 Title: CoBia: Constructed Conversations Can Trigger Otherwise Concealed Societal Biases in LLMs

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09871
• PDF: https://arxiv.org/pdf/2510.09871
• Project Page: https://github.com/nafisenik/CoBia
• Github: https://github.com/nafisenik/CoBia

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🔹 Title: Through the Perspective of LiDAR: A Feature-Enriched and Uncertainty-Aware Annotation Pipeline for Terrestrial Point Cloud Segmentation

🔹 Publication Date: Published on Oct 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.06582
• PDF: https://arxiv.org/pdf/2510.06582
• Project Page: https://fz-rit.github.io/through-the-lidars-eye/

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🔹 Title: The Curious Case of Factual (Mis)Alignment between LLMs' Short- and Long-Form Answers

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11218
• PDF: https://arxiv.org/pdf/2510.11218
• Github: https://github.com/WorldHellow/SLAQ

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🔹 Title: ViSurf: Visual Supervised-and-Reinforcement Fine-Tuning for Large Vision-and-Language Models

🔹 Publication Date: Published on Oct 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/pdf/2510.10606
• PDF: https://arxiv.org/pdf/2510.10606
• Github: https://github.com/dvlab-research/ViSurf?tab=readme-ov-file

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🔹 Title: SwarmSys: Decentralized Swarm-Inspired Agents for Scalable and Adaptive Reasoning

🔹 Publication Date: Published on Oct 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.10047
• PDF: https://arxiv.org/pdf/2510.10047

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🔹 Title: World-To-Image: Grounding Text-to-Image Generation with Agent-Driven World Knowledge

🔹 Publication Date: Published on Oct 5

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.04201
• PDF: https://arxiv.org/pdf/2510.04201
• Github: https://github.com/mhson-kyle/World-To-Image

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🔹 Title: AndesVL Technical Report: An Efficient Mobile-side Multimodal Large Language Model

🔹 Publication Date: Published on Oct 13

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.11496
• PDF: https://arxiv.org/pdf/2510.11496

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🔹 Title: A Tale of LLMs and Induced Small Proxies: Scalable Agents for Knowledge Mining

🔹 Publication Date: Published on Oct 1

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.01427
• PDF: https://arxiv.org/pdf/2510.01427
• Github: https://github.com/LongfeiYun17/falconer

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🔹 Title: Multimodal Policy Internalization for Conversational Agents

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09474
• PDF: https://arxiv.org/pdf/2510.09474
• Project Page: https://mikewangwzhl.github.io/TriMPI/
• Github: https://mikewangwzhl.github.io/TriMPI/

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🔹 Title: The Attacker Moves Second: Stronger Adaptive Attacks Bypass Defenses Against Llm Jailbreaks and Prompt Injections

🔹 Publication Date: Published on Oct 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2510.09023
• PDF: https://arxiv.org/pdf/2510.09023

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🔹 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