EgoMemReason A Memory-Driven Reasoning Benchmark for Long-Horizon Egocentric Understanding
RESEARCH
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G²RPO-A: A New Training Method for Enhancing LLM Reasoning
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Why can't smaller language models match larger ones on reasoning? Researchers from CUHK Shenzhen, Alibaba Group, and Westlake University introduce G²RPO-A. It adaptively feeds correct reasoning steps into training, dynamically adjusting guidance as the model improves. On math
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Introduction to Embedded Language Flows Research and Implementation
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ELF: Embedded Language Flows Paper: https://
arxiv.org/abs/2605.10938
Code: https://
github.com/lillian039/ELF Our report: https://
mp.weixin.qq.com/s/7x8w_2Ov-lpS
EPRgqxLZBQ
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Kaiming He’s Team Introduces ELF for Continuous Embedding Language Modeling
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Huge! Language models could generate text as smoothly as AI creates images now! Kaiming He's team introduces ELF (Embedded Language Flows). Instead of operating on discrete tokens, ELF stays in a continuous embedding space until the final step, borrowing proven techniques like
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Promotion of The Oxford Handbook of AI Governance
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The Oxford Handbook of AI Governance! #BigData #Analytics #DataScience #AI #MachineLearning #IoT #IIoT #PyTorch #Python #RStats #TensorFlow #Java #JavaScript #ReactJS #GoLang #CloudComputing #Serverless #DataScientist #Linux #Books #Programming #Coding #100DaysofCode
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Quebec.AI Launches Open Public Record for AI Research and Governance
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http://
QUEBEC.AI Public Record / Dossier public http://
QUEBEC.AI The open index of doctrine, proof, governance, technical work, and public debate. Le dossier ouvert : doctrine, preuve, gouvernance, travail technique et mémoire. https://
QuebecAI.github.io/public-record/ #QuebecAI -
Research on Sparser, Faster, and Lighter Transformer Language Models
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Sparser, Faster, Lighter Transformer Language Models
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ELF: Embedded Language Flows — arXiv paper
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ELF: Embedded Language Flows Hu et al.: https://
arxiv.org/abs/2605.10938 #ArtificialIntelligence #AIAgents -
Embedded Language Flows: New AI Agent Research
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ELF: Embedded Language Flows Hu et al.: https://
arxiv.org/abs/2605.10938 #ArtificialIntelligence #AIAgents -
Key Personalization for Research Agents
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Pay attention to this if you build research or knowledge-work agents. Most research-agent systems generate uniform outputs regardless of who is using them. This new work, NanoResearch, argues that personalization is a prerequisite for true usability and proposes a three-level approach.