Research Papers

Motif-2-12.7B: A Breakthrough in Efficient Large Language Model Architecture

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Motif-2-12.7B: A Breakthrough in Efficient Large Language Model Architecture

The rapid evolution of large language models (LLMs) has redefined how industries approach automation, content creation, data analysis, and decision-making. While tech giants have been scaling models with billions of parameters to achieve superior performance, an equally important challenge has emerged: how do we make LLMs more efficient without compromising their reasoning ability and accuracy? … Read more

Lumine: The Next Step Toward Human-Like AI Agents in 3D Worlds

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Lumine: The Next Step Toward Human-Like AI Agents in 3D Worlds

Artificial Intelligence has rapidly evolved from rule-based programs into systems capable of learning, adapting, and reasoning. However, most AI models today operate within specific boundaries—they can play chess, drive a car, or generate text but they struggle to perform in open, unpredictable environments where complex reasoning and real-time actions are required. Enter Lumine, a groundbreaking … Read more

Reducing Hallucinations in Vision-Language Models: A Step Forward with VisAlign

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Reducing Hallucinations in Vision-Language Models: A Step Forward with VisAlign

As artificial intelligence continues to evolve, Large Vision-Language Models (LVLMs) have revolutionized how machines understand and describe the world. These models combine visual perception with natural language understanding to perform tasks such as image captioning, visual question answering and multimodal reasoning. Despite their success, a major problem persists – hallucination. This issue occurs when a … Read more

DeepEyesV2: The Next Leap Toward Agentic Multimodal Intelligence

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DeepEyesV2: The Next Leap Toward Agentic Multimodal Intelligence

The evolution of artificial intelligence has reached a stage where models are no longer limited to understanding text or images independently. The emergence of multimodal AI systems capable of processing and reasoning across multiple types of data has transformed how machines interpret the world. Yet, most existing multimodal models remain passive observers, unable to act … Read more

CALM: Revolutionizing Large Language Models with Continuous Autoregressive Learning

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CALM: Revolutionizing Large Language Models with Continuous Autoregressive Learning

Large Language Models (LLMs) such as GPT, Claude and Gemini have dramatically transformed artificial intelligence. From generating natural text to assisting in code and research, these models rely on one fundamental process: autoregressive generation predicting text one token at a time. However, this sequential nature poses a critical efficiency bottleneck. Generating text token by token … Read more

Supervised Reinforcement Learning: A New Era of Step-Wise Reasoning in AI

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Supervised Reinforcement Learning: A New Era of Step-Wise Reasoning in AI

In the evolving landscape of artificial intelligence, large language models (LLMs) like GPT, Claude and Qwen have demonstrated remarkable abilities from generating human-like text to solving complex problems in mathematics, coding, and logic. Yet, despite their success, these models often struggle with multi-step reasoning, especially when each step depends critically on the previous one. Traditional … Read more

Context Engineering 2.0: Redefining Human–Machine Understanding

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Context Engineering 2.0: Redefining Human–Machine Understanding

As artificial intelligence advances, machines are becoming increasingly capable of understanding and responding to human language. Yet, one crucial challenge remains how can machines truly understand the context behind human intentions? This question forms the foundation of context engineering, a discipline that focuses on designing, organizing and managing contextual information so that AI systems can … Read more

Plandex AI: The Future of Autonomous Coding Agents for Large-Scale Development

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Plandex AI: The Future of Autonomous Coding Agents for Large-Scale Development

As software development becomes increasingly complex, developers are turning to AI tools that can manage, understand and automate large portions of the coding workflow. Among the most promising innovations in this space is Plandex AI, an open-source terminal-based coding agent designed for real-world, large-scale projects. Unlike simple AI coding assistants that handle small snippets, Plandex … Read more

vLLM Semantic Router: The Next Frontier in Intelligent Model Routing for LLMs

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vLLM Semantic Router: The Next Frontier in Intelligent Model Routing for LLMs

As large language models (LLMs) continue to evolve, organizations face new challenges in optimizing performance, accuracy and cost across various AI workloads. Running multiple models efficiently – each specialized for specific tasks has become essential for scalable AI deployment. Enter vLLM Semantic Router, an open-source innovation that introduces a new layer of intelligence to the … Read more

BERT: Revolutionizing Natural Language Processing with Bidirectional Transformers

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BERT: Revolutionizing Natural Language Processing with Bidirectional Transformers

In the ever-evolving landscape of artificial intelligence and natural language processing (NLP), BERT (Bidirectional Encoder Representations from Transformers) stands as a monumental breakthrough. Developed by researchers at Google AI in 2018, BERT introduced a new way of understanding the context of language by using deep bidirectional training of the Transformer architecture. Unlike previous models that … Read more

The Transformer Architecture: How Attention Revolutionized Deep Learning

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The Transformer Architecture: How Attention Revolutionized Deep Learning

The field of artificial intelligence has witnessed a remarkable evolution and at the heart of this transformation lies the Transformer architecture. Introduced by Vaswani et al. in 2017, the paper “Attention Is All You Need” redefined the foundations of natural language processing (NLP) and sequence modeling. Unlike its predecessors – recurrent and convolutional neural networks, … Read more