Thrilled to have the Llama team from @AIatMeta answering questions about their new Llama 3 paper! The newest 405B variant is currently the best performing open source model and rivals OpenAI's GPT-4o across a variety of benchmarks.
@askalphaxiv
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Microsoft Introduces SpreadsheetLLMs for Data Analysis
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New from Microsoft: SpreadsheetLLMs! Author @HaoyuDong9 will be answering your questions over the next few days. Leave questions directly on the preprint!
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arXiv Labs Community Project Integration and Institutional Authorship
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Right, once you appeal authorship though, we can add your institution. Linking to arXiv accounts is also a great idea. We are hoping to join as an arXiv Labs Community Project so we'll keep you updated!
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OpenDevin: Open Source Generalist LLM Agents Framework
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Open source generalist LLM Agents! Excited to have author @xingyaow_ on alphaXiv this week to answer questions about his recent paper OpenDevin.
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Automating Process Implementation Strategy Discussion
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Great idea, we'll work on automating this process!
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Kolmogorov-Arnold Networks: Alternative to MLPs Discussion
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Got questions about Kolmogorov-Arnold Networks? KANs offer a fascinating alternative to MLPs and this week authors @ZimingLiu11 & Sachin Vaidya are discussing their paper on alphaXiv. Leave questions for them directly on the arXiv paper: https://
alphaxiv.org/abs/2404.19756
v4
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Grokked Transformers Function as Implicit Reasoners
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Grokked Transformers are Implicit Reasoners Author @BoshiWang2 will be answering questions on his recent paper on alphaXiv. Leave questions directly on the paper! https://
alphaxiv.org/abs/2405.15071 -
alphaXiv enables direct PDF comments for arXiv papers
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In response to popular demand, you can now comment directly on any arXiv PDF through http://
alphaXiv.org. Fewer rendering issues, while still enabling interactive discussion directly on the paper! -
How LLMs Acquire Factual Knowledge During Pretraining
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How do LLMs learn new facts while pre-training? Excited to have authors @hoyeon_chang and Jinho Park
answer questions on their latest paper "How Do Large Language Models Acquire Factual Knowledge During Pretraining?" Leave questions for the authors: https://
alphaxiv.org/abs/2406.11813 -
Predicting Frontier AI Models Downstream Capabilities Remains Elusive
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Excited to feature @RylanSchaeffer
's latest paper "Why Has Predicting Downstream Capabilities of Frontier AI Models with Scale Remained Elusive?" on alphaXiv this week. Leave questions for Rylan directly on top of his paper: https://
alphaxiv.org/pdf/2406.04391