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MIT and NUS Researchers Introduce MEM1: A Memory-Efficient Framework for Long-Horizon Language Agents
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MIT and NUS Researchers Introduce MEM1: A Memory-Efficient Framework for Long-Horizon Language Agents

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Modern language agents need to handle multi-turn conversations, retrieving and updating information as tasks evolve. However, most current systems simply […]

Google AI Releases Gemini CLI: An Open-Source AI Agent for Your Terminal
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Google AI Releases Gemini CLI: An Open-Source AI Agent for Your Terminal

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Google has unveiled Gemini CLI, an open-source command-line AI agent that integrates the Gemini 2.5 Pro model directly into the […]

New AI Research Reveals Privacy Risks in LLM Reasoning Traces
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New AI Research Reveals Privacy Risks in LLM Reasoning Traces

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Introduction: Personal LLM Agents and Privacy Risks LLMs are deployed as personal assistants, gaining access to sensitive user data through […]

ETH and Stanford Researchers Introduce MIRIAD: A 5.8M Pair Dataset to Improve LLM Accuracy in Medical AI
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ETH and Stanford Researchers Introduce MIRIAD: A 5.8M Pair Dataset to Improve LLM Accuracy in Medical AI

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Challenges of LLMs in Medical Decision-Making: Addressing Hallucinations via Knowledge Retrieval LLMs are set to revolutionize healthcare through intelligent decision […]

Google DeepMind Releases Gemini Robotics On-Device: Local AI Model for Real-Time Robotic Dexterity
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Google DeepMind Releases Gemini Robotics On-Device: Local AI Model for Real-Time Robotic Dexterity

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Google DeepMind has unveiled Gemini Robotics On-Device, a compact, local version of its powerful vision-language-action (VLA) model, bringing advanced robotic […]

ByteDance Researchers Introduce Seed-Coder: A Model-Centric Code LLM Trained on 6 Trillion Tokens
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ByteDance Researchers Introduce Seed-Coder: A Model-Centric Code LLM Trained on 6 Trillion Tokens

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Reframing Code LLM Training through Scalable, Automated Data Pipelines Code data plays a key role in training LLMs, benefiting not […]

ByteDance Researchers Introduce VGR: A Novel Reasoning Multimodal Large Language Model (MLLM) with Enhanced Fine-Grained Visual Perception Capabilities
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ByteDance Researchers Introduce VGR: A Novel Reasoning Multimodal Large Language Model (MLLM) with Enhanced Fine-Grained Visual Perception Capabilities

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Why Multimodal Reasoning Matters for Vision-Language Tasks Multimodal reasoning enables models to make informed decisions and answer questions by combining […]

BAAI Launches OmniGen2: A Unified Diffusion and Transformer Model for Multimodal AI
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BAAI Launches OmniGen2: A Unified Diffusion and Transformer Model for Multimodal AI

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Beijing Academy of Artificial Intelligence (BAAI) introduces OmniGen2, a next-generation, open-source multimodal generative model. Expanding on its predecessor OmniGen, the […]

ByteDance Researchers Introduce ProtoReasoning: Enhancing LLM Generalization via Logic-Based Prototypes
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ByteDance Researchers Introduce ProtoReasoning: Enhancing LLM Generalization via Logic-Based Prototypes

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Why Cross-Domain Reasoning Matters in Large Language Models (LLMs) Recent breakthroughs in LRMs, especially those trained using Long CoT techniques, […]

New from Chinese Academy of Sciences: Stream-Omni, an LLM for Cross-Modal Real-Time AI
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New from Chinese Academy of Sciences: Stream-Omni, an LLM for Cross-Modal Real-Time AI

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Understanding the Limitations of Current Omni-Modal Architectures Large multimodal models (LMMs) have shown outstanding omni-capabilities across text, vision, and speech […]

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