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Category: Machine Learning

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EPFL Researchers Introduce MEMOIR: A Scalable Framework for Lifelong Model Editing in LLMs
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EPFL Researchers Introduce MEMOIR: A Scalable Framework for Lifelong Model Editing in LLMs

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The Challenge of Updating LLM Knowledge LLMs have shown outstanding performance for various tasks through extensive pre-training on vast datasets. […]

StepFun Introduces Step-Audio-AQAA: A Fully End-to-End Audio Language Model for Natural Voice Interaction
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StepFun Introduces Step-Audio-AQAA: A Fully End-to-End Audio Language Model for Natural Voice Interaction

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Rethinking Audio-Based Human-Computer Interaction Machines that can respond to human speech with equally expressive and natural audio have become a […]

Internal Coherence Maximization (ICM): A Label-Free, Unsupervised Training Framework for LLMs
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Internal Coherence Maximization (ICM): A Label-Free, Unsupervised Training Framework for LLMs

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Post-training methods for pre-trained language models (LMs) depend on human supervision through demonstrations or preference feedback to specify desired behaviors. […]

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 […]

Sakana AI Introduces Text-to-LoRA (T2L): A Hypernetwork that Generates Task-Specific LLM Adapters (LoRAs) based on a Text Description of the Task
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Sakana AI Introduces Text-to-LoRA (T2L): A Hypernetwork that Generates Task-Specific LLM Adapters (LoRAs) based on a Text Description of the Task

  • 0

Transformer models have significantly influenced how AI systems approach tasks in natural language understanding, translation, and reasoning. These large-scale models, […]

OpenThoughts: A Scalable Supervised Fine-Tuning SFT Data Curation Pipeline for Reasoning Models
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OpenThoughts: A Scalable Supervised Fine-Tuning SFT Data Curation Pipeline for Reasoning Models

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The Growing Complexity of Reasoning Data Curation Recent reasoning models, such as DeepSeek-R1 and o3, have shown outstanding performance in […]

New Apple study challenges whether AI models truly “reason” through problems
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New Apple study challenges whether AI models truly “reason” through problems

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Puzzle-based experiments reveal limitations of simulated reasoning, but others dispute findings. An illustration of Tower of Hanoi from Popular Science […]

How Do LLMs Really Reason? A Framework to Separate Logic from Knowledge
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How Do LLMs Really Reason? A Framework to Separate Logic from Knowledge

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Unpacking Reasoning in Modern LLMs: Why Final Answers Aren’t Enough Recent advancements in reasoning-focused LLMs like OpenAI’s o1/3 and DeepSeek-R1 […]

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In landmark suit, Disney and Universal sue Midjourney for AI character theft

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The legal action follows similar moves in other creative industries, with more than a dozen major news companies suing AI […]

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With the launch of o3-pro, let’s talk about what AI “reasoning” actually does

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inquiring artificial minds want to know New studies reveal pattern-matching reality behind the AI industry’s reasoning claims. On Tuesday, OpenAI […]

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