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Category: Large Language Model

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  • Large Language Model
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MemOS: A Memory-Centric Operating System for Evolving and Adaptive Large Language Models
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MemOS: A Memory-Centric Operating System for Evolving and Adaptive Large Language Models

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LLMs are increasingly seen as key to achieving Artificial General Intelligence (AGI), but they face major limitations in how they […]

CURE: A Reinforcement Learning Framework for Co-Evolving Code and Unit Test Generation in LLMs
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CURE: A Reinforcement Learning Framework for Co-Evolving Code and Unit Test Generation in LLMs

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Introduction Large Language Models (LLMs) have shown substantial improvements in reasoning and precision through reinforcement learning (RL) and test-time scaling […]

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Mistral AI Releases Magistral Series: Advanced Chain-of-Thought LLMs for Enterprise and Open-Source Applications

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Mistral AI has officially introduced Magistral, its latest series of reasoning-optimized large language models (LLMs). This marks a significant step […]

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How Much Do Language Models Really Memorize? Meta’s New Framework Defines Model Capacity at the Bit Level

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Introduction: The Challenge of Memorization in Language Models Modern language models face increasing scrutiny regarding their memorization behavior. With models […]

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Meta Introduces LlamaRL: A Scalable PyTorch-Based Reinforcement Learning RL Framework for Efficient LLM Training at Scale

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Reinforcement Learning’s Role in Fine-Tuning LLMs Reinforcement learning has emerged as a powerful approach to fine-tune large language models (LLMs) […]

ALPHAONE: A Universal Test-Time Framework for Modulating Reasoning in AI Models
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ALPHAONE: A Universal Test-Time Framework for Modulating Reasoning in AI Models

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Large reasoning models, often powered by large language models, are increasingly used to solve high-level problems in mathematics, scientific analysis, […]

High-Entropy Token Selection in Reinforcement Learning with Verifiable Rewards (RLVR) Improves Accuracy and Reduces Training Cost for LLMs
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High-Entropy Token Selection in Reinforcement Learning with Verifiable Rewards (RLVR) Improves Accuracy and Reduces Training Cost for LLMs

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Large Language Models (LLMs) generate step-by-step responses known as Chain-of-Thoughts (CoTs), where each token contributes to a coherent and logical […]

Alibaba Qwen Team Releases Qwen3-Embedding and Qwen3-Reranker Series – Redefining Multilingual Embedding and Ranking Standards
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Alibaba Qwen Team Releases Qwen3-Embedding and Qwen3-Reranker Series – Redefining Multilingual Embedding and Ranking Standards

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Text embedding and reranking are foundational to modern information retrieval systems, powering applications such as semantic search, recommendation systems, and […]

Salesforce AI Introduces CRMArena-Pro: The First Multi-Turn and Enterprise-Grade Benchmark for LLM Agents
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Salesforce AI Introduces CRMArena-Pro: The First Multi-Turn and Enterprise-Grade Benchmark for LLM Agents

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AI agents powered by LLMs show great promise for handling complex business tasks, especially in areas like Customer Relationship Management […]

NVIDIA AI Releases Llama Nemotron Nano VL: A Compact Vision-Language Model Optimized for Document Understanding
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NVIDIA AI Releases Llama Nemotron Nano VL: A Compact Vision-Language Model Optimized for Document Understanding

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NVIDIA has introduced Llama Nemotron Nano VL, a vision-language model (VLM) designed to address document-level understanding tasks with efficiency and […]

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