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Introducing GLM 5.2 for autoresearch GLM 5.2 is the first open weights model we've tried on our autoresearch pipeline that's proven capable for real research tasks. With Fable 5's restrictions on research, having an open weights alternative is a huge win for open source Watch it carry out fully async vs colocated sync RL training on Harbor code contests across two 8xH100 nodes on top of SkyRL. Resolves setup issues, tracks runs to completion, and produces a full comparison of throughput and reward stability
alphaXiv272,099 просмотров • 3 месяцев назад

arXiv -> quickarXiv Papers are often written in convoluted language that is hard to understand Swap arXiv -> quickarXiv on any paper URL to get an instant blog with figures, insights, and explanations. Now extracted with Z.ai's GLM OCR 🚀 Also includes code + author tweet
alphaXiv74,786 просмотров • 1 месяц назад

Introducing autoresearch with GPT 5.6 We had GPT 5.6 Sol reproduce the key findings from “Towards Mechanistically Understanding Why Memorized Knowledge Fails to Generalize in LLM Finetuning” Compared to GPT-5.5 and even Fable 5, GPT-5.6 stayed more focused on a few, critical experiments and spent less time on peripheral details. It also asked fewer “clarification” questions and independently resolved ambiguities instead of pushing them back to us OpenAI pushing the boundaries of the automated research loop with models that don’t have handcuffs
alphaXiv88,264 просмотров • 3 месяцев назад

GPT 5.6 Sol can one-shot convert an arXiv paper into an interactive Marimo notebook! Great for papers best understood hands on (lots of fun examples in interpretability, inference engineering, agent harnesses, benchmarking, and more) Play around with the notebook, inspect the code, or try the same workflow with your own agents below
alphaXiv85,661 просмотров • 3 месяцев назад

Introducing Deep Research for arXiv Ask questions like 'What are the latest breakthroughs in RL fine-tuning?' and get comprehensive lit reviews with trending papers automatically included Turn hours of literature searches into seconds with AI-powered research context ⚡
alphaXiv373,123 просмотров • 1 год назад

We are now using Claude Opus 5.5 to create blog-style overviews for every arXiv paper Every claim is backed up with the corresponding evidence highlighted from the paper Generate beautiful research blogs with figures, key insights, and clear explanations with just one click Opus 5.5 features major improvements in writing, perfect for communicating dense research ideas to a broad audience Check it out on any paper on
alphaXiv21,039 просмотров • 25 дней назад

Introducing autoresearch for GitHub repos Change 'Github' to 'ARGithub' in any repo URL Research artifacts extend beyond papers. Autoresearch is especially useful for experimenting on existing codebases that move fast and outpace their own publications. With one URL change you can now deploy an agent to orient itself on the codebase, resolve setup issues, and iterate on experiments.
alphaXiv73,230 просмотров • 3 месяцев назад

Ever suspected a paper you’re reading is AI slop? You can now turn on AI detection mode on alphaXiv to visualize what is written by an AI and what is not. Now available for every research paper indexed on arXiv. Integrated with the latest detection model from 🚀
alphaXiv98,173 просмотров • 6 месяцев назад

Research papers are filled with citations, but clicking on any of them makes you lose your place in the paper We made citations much easier to navigate, with extra information on hover including authors and institutions Now, you can hover over any in-text citation to instantly preview the referenced paper, jump directly to the full citation, and return to exactly where you left off with a single click This includes quick access to the authors and their organizations, so you can understand the people behind the research without breaking your reading flow Try it now on any paper at
alphaXiv20,712 просмотров • 1 месяц назад

Introducing LinkedIn for researchers 🚀 LinkedIn optimizes for engagement bait. What about actual research? We aggregated papers, affiliations, experiences, and coauthors to create the most comprehensive profile for every AI researcher You can now ask questions like “Who’s working on automated math discovery at DeepMind?” or "Which researchers are working on world models in San Francisco?" Claim your profile below👇
alphaXiv36,396 просмотров • 2 месяцев назад

Introducing paper replications for arXiv Research codebases are notoriously hard to set up We deploy autoresearch agents to ingest popular arXiv repos, resolve setup issues, and get the core claim running. You can now sort papers by ease of implementation 🚀
alphaXiv60,406 просмотров • 4 месяцев назад