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New research explores human-LLM co-authoring and MoE Transformer scaling laws

Two new research papers explore advanced human-AI collaboration and the theoretical underpinnings of large language models. The first paper, "CoWriter," introduces a system designed to enhance human-LLM co-authoring by adapting expert methodologies, aiming to give authors more control and a greater sense of ownership over their work. The second paper delves into the generalization and scaling laws of Mixture-of-Experts (MoE) Transformers, providing a theoretical framework to understand their performance and optimize their scaling. AI

IMPACT These papers contribute to advancing human-AI collaboration tools and provide theoretical insights into the scaling and generalization capabilities of large language models.

RANK_REASON Two academic papers published on arXiv detailing new methodologies and theoretical frameworks.

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 2 sources. How we write summaries →

New research explores human-LLM co-authoring and MoE Transformer scaling laws

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COVERAGE [2]

  1. arXiv cs.CL TIER_1 English(EN) · Shmuel Amar, Benjamin Lieber, Ori Shapira, Debanjana Kar, Sebastian Maximilian Dennerlein, Yufang Hou, Ido Dagan ·

    CoWriter: Guiding Methodological and Synergetic Human-LLM Co-Authoring

    arXiv:2610.31277v1 Announce Type: new Abstract: While LLMs have transformed text generation, standard chat-and-canvas interfaces often reduce human authoring to quite passive supervision, causing review fatigue, over-reliance on AI, and the sidelining of the human role in long-fo…

  2. arXiv cs.LG TIER_1 English(EN) · Mansour Zoubeirou a Mayaki ·

    Generalization and Scaling Laws for Mixture-of-Experts Transformers

    arXiv:2604.09175v2 Announce Type: replace Abstract: We develop a theory of generalization and scaling for Mixture-of-Experts (MoE) Transformers that cleanly separates \emph{active} per-input capacity from routing combinatorics. By conditioning on fixed routing patterns and union-…