✨DynaAct: Large Language Model Reasoning with Dynamic Action Spaces

📝 Summary:
DynaAct is a framework that uses large language models to automatically construct a compact action space for sequential decision-making. This method enhances reasoning performance and efficiency by selecting optimal actions based on utility and diversity. Experiments show significant improvements...

🔹 Publication Date: Published on Nov 11

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.08043
• PDF: https://arxiv.org/pdf/2511.08043
• Github: https://github.com/zhaoxlpku/DynaAct

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#LLM #ArtificialIntelligence #MachineLearning #Reasoning #DecisionMaking

✨Optimizing Diversity and Quality through Base-Aligned Model Collaboration

📝 Summary:
BACo is a token-level collaboration framework for LLMs. It dynamically combines a base model with its aligned counterpart to improve both output diversity and quality during inference. BACo consistently outperforms baselines, achieving significant joint improvement.

🔹 Publication Date: Published on Nov 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.05650
• PDF: https://arxiv.org/pdf/2511.05650

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#LLMs #AI #MachineLearning #NLP #ModelCollaboration

✨FilmAgent: A Multi-Agent Framework for End-to-End Film Automation in Virtual 3D Spaces

📝 Summary:
FilmAgent is an LLM-based multi-agent framework that automates end-to-end virtual film production, covering noscriptwriting, cinematography, and actor positioning. Human evaluations show it outperforms baselines, proving multi-agent collaboration is feasible for filmmaking.

🔹 Publication Date: Published on Jan 22

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2501.12909
• PDF: https://huggingface.co/papers/2501.11233
• Project Page: https://filmagent.github.io/
• Github: https://filmagent.github.io/

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#AI #LLM #VirtualProduction #MultiAgentSystems #Filmmaking

🤖🧠 Nanobrowser: The Open-Source AI Web Automation Tool Changing How We Browse

🗓️ 12 Nov 2025
📚 AI News & Trends

The rise of artificial intelligence has redefined how we interact with the web, transforming routine browsing into a space for automation and productivity. Among the most exciting innovations in this field is Nanobrowser, an open-source AI-powered web automation tool designed to run directly inside your browser. Developed as a free alternative to OpenAI Operator, Nanobrowser ...

#Nanobrowser #AIWebAutomation #OpenSourceTools #BrowserAI #ProductivityTech #AIAutomation

✨Beyond Fact Retrieval: Episodic Memory for RAG with Generative Semantic Workspaces

📝 Summary:
The Generative Semantic Workspace GSW enhances LLMs for long-context reasoning and episodic memory. This neuro-inspired framework builds structured representations of evolving situations, outperforming RAG baselines by 20% and reducing context tokens by 51%. GSW provides human-like episodic memor...

🔹 Publication Date: Published on Nov 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.07587
• PDF: https://arxiv.org/pdf/2511.07587

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#LLMs #RAG #EpisodicMemory #GenerativeAI #NeuroAI

🤖🧠 Claude-Flow v2.7: The Next Generation of Enterprise AI Orchestration

🗓️ 12 Nov 2025
📚 AI News & Trends

Artificial intelligence is rapidly transforming software development, research and enterprise workflows. As AI models become increasingly complex, managing, coordinating and optimizing them efficiently has become a critical challenge. Enter Claude-Flow v2.7, an advanced AI orchestration platform that blends multi-agent intelligence, persistent memory and swarm-based coordination to deliver enterprise-level automation and reasoning at scale. Developed by ...

#ClaudeFlow #EnterpriseAI #AIOrchestration #MultiAgentSystems #AIAutomation #PersistentMemory

🤖🧠 Bytebot: The Future of AI Desktop Automation

🗓️ 12 Nov 2025
📚 AI News & Trends

In the era of rapid digital transformation, automation is the driving force behind business efficiency and innovation. While most AI agents are limited to browsers or APIs, a groundbreaking open-source project called Bytebot has redefined what AI can achieve. Bytebot introduces a self-hosted AI desktop agent — a virtual computer that performs complex, multi-step tasks ...

#Bytebot #AIDesktopAutomation #SelfHostedAI #OpenSourceAI #AIAgents #TaskAutomation

✨TimeSearch-R: Adaptive Temporal Search for Long-Form Video Understanding via Self-Verification Reinforcement Learning

📝 Summary:
TimeSearch-R improves long-form video understanding by optimizing temporal search with reinforcement learning. It uses GRPO-CSV to verify searched frame completeness, leading to improved reasoning. This achieves state-of-the-art performance on multiple video benchmarks.

🔹 Publication Date: Published on Nov 7

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.05489
• PDF: https://arxiv.org/pdf/2511.05489
• Github: https://github.com/Time-Search/TimeSearch-R

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#VideoUnderstanding #ReinforcementLearning #DeepLearning #AIResearch #ComputerVision

✨TiDAR: Think in Diffusion, Talk in Autoregression

📝 Summary:
TiDAR is a hybrid diffusion-autoregressive model achieving high throughput and AR-level quality. It drafts tokens with diffusion and samples autoregressively in a single pass, outperforming existing methods and delivering 4.71x to 5.91x faster generation.

🔹 Publication Date: Published on Nov 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.08923
• PDF: https://arxiv.org/pdf/2511.08923

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#AI #MachineLearning #DiffusionModels #AutoregressiveModels #GenerativeAI

✨Lumine: An Open Recipe for Building Generalist Agents in 3D Open Worlds

📝 Summary:
Lumine introduces an open recipe for generalist agents in 3D open worlds. This vision-language model-based agent processes pixels to perform complex, hours-long missions with human efficiency and demonstrates strong zero-shot generalization across diverse games like Genshin Impact and Honkai Star...

🔹 Publication Date: Published on Nov 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.08892
• PDF: https://arxiv.org/pdf/2511.08892
• Project Page: https://www.lumine-ai.org/

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#GeneralistAI #VisionLanguageModel #3DWorlds #AIagents #GamingAI

✨Time-to-Move: Training-Free Motion Controlled Video Generation via Dual-Clock Denoising

📝 Summary:
Time-to-Move TTM is a training-free framework for precise motion and appearance controlled video generation using I2V diffusion models. It employs crude reference animations as motion cues and introduces dual-clock denoising for flexible alignment, outperforming training-based methods.

🔹 Publication Date: Published on Nov 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.08633
• PDF: https://arxiv.org/pdf/2511.08633
• Project Page: https://time-to-move.github.io/
• Github: https://github.com/time-to-move/TTM

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#VideoGeneration #DiffusionModels #GenerativeAI #MotionControl #ComputerVision

✨WMPO: World Model-based Policy Optimization for Vision-Language-Action Models

📝 Summary:
WMPO is a pixel-based world-model framework for on-policy VLA reinforcement learning that avoids real-world interaction. It uses pixel predictions aligned with VLA features to boost sample efficiency, performance, self-correction, and generalization in robotic manipulation.

🔹 Publication Date: Published on Nov 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.09515
• PDF: https://arxiv.org/pdf/2511.09515
• Project Page: https://wm-po.github.io/
• Github: https://github.com/WM-PO/WMPO

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#ReinforcementLearning #VLAModels #WorldModels #Robotics #AI

✨Agentic Refactoring: An Empirical Study of AI Coding Agents

📝 Summary:
A study of AI agent-generated refactoring in Java projects found agents frequently perform low-level consistency edits. Driven by maintainability and readability, these refactorings lead to small but significant improvements in code quality metrics like class size and complexity.

🔹 Publication Date: Published on Nov 6

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.04824
• PDF: https://arxiv.org/pdf/2511.04824

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#AIagents #CodeRefactoring #SoftwareEngineering #CodeQuality #AIResearch

✨LoopTool: Closing the Data-Training Loop for Robust LLM Tool Calls

📝 Summary:
LoopTool is an automated framework that closes the data-training loop for LLMs. It iteratively refines data and models to improve tool-use capabilities, achieving state-of-the-art results and surpassing larger models cost-effectively.

🔹 Publication Date: Published on Nov 12

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.09148
• PDF: https://arxiv.org/pdf/2511.09148
• Github: https://github.com/Rednote-ExperienceAI-Lab/LoopTool

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#LLM #AI #MachineLearning #DataScience #ToolUse

✨MathSE: Improving Multimodal Mathematical Reasoning via Self-Evolving Iterative Reflection and Reward-Guided Fine-Tuning

📝 Summary:
MathSE improves MLLMs math reasoning by iteratively refining them. It uses inference, reflection, and reward-based feedback instead of static datasets. This significantly boosts performance on tough benchmarks, outperforming leading open-source models.

🔹 Publication Date: Published on Nov 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.06805
• PDF: https://arxiv.org/pdf/2511.06805
• Project Page: https://zheny2751-dotcom.github.io/MathSE.github.io/
• Github: https://github.com/zheny2751-dotcom/MathSE

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#MathematicalReasoning #MLLMs #AI #MachineLearning #ReinforcementLearning

✨WebVIA: A Web-based Vision-Language Agentic Framework for Interactive and Verifiable UI-to-Code Generation

📝 Summary:
WebVIA is an agentic framework that automates interactive UI-to-Code generation and validation. It overcomes static UI code limitations by generating verifiable, executable HTML/CSS/JavaScript, outperforming base models in accuracy and interactivity.

🔹 Publication Date: Published on Nov 9

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.06251
• PDF: https://arxiv.org/pdf/2511.06251
• Project Page: https://zheny2751-dotcom.github.io/webvia.github.io/
• Github: https://github.com/zheny2751-dotcom/WebVIA

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#AICodeGeneration #UIGeneration #WebDevelopment #VisionLanguageAI #AgenticAI

✨Toward the Frontiers of Reliable Diffusion Sampling via Adversarial Sinkhorn Attention Guidance

📝 Summary:
ASAG is a novel diffusion guidance method that uses optimal transport and the Sinkhorn algorithm to adversarially disrupt attention scores. It weakens misleading attention alignments by injecting an adversarial cost, improving sample quality, controllability, and fidelity without model retraining.

🔹 Publication Date: Published on Nov 10

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.07499
• PDF: https://arxiv.org/pdf/2511.07499

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#DiffusionModels #AdversarialAI #OptimalTransport #GenerativeAI #DeepLearning

✨Stemming Hallucination in Language Models Using a Licensing Oracle

📝 Summary:
This study presents the Licensing Oracle, an architectural solution to eliminate language model hallucinations. It enforces truth constraints via formal validation against structured knowledge graphs, achieving perfect abstention precision and zero false answers where statistical methods fail.

🔹 Publication Date: Published on Nov 8

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2511.06073
• PDF: https://arxiv.org/pdf/2511.06073

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#LLM #AIHallucination #KnowledgeGraphs #NLP #AIResearch

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✨Efficient Guided Generation for Large Language Models

📝 Summary:
This paper introduces an efficient method to guide large language model text generation. It uses regular expressions and context-free grammars with minimal added overhead, making guided generation practical.

🔹 Publication Date: Published on Jul 19, 2023

🔹 Paper Links:
• arXiv Page: https://arxiv.org/abs/2307.09702
• PDF: https://arxiv.org/pdf/2307.09702
• Github: https://github.com/normal-computing/outlines

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#LLMs #TextGeneration #NLP #AI #DeepLearning