"DeepSeek-V4 Technical Report" A 58 page paper with brand new attention techniques: Heavily Compressed Attention (HCA) & Compressed Sparse Attention (CSA). This hybrid attention setup enables V4 to hit 1 million context. DeepSeek-V4-Pro is now the largest OS model ever, with
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DeepSeek V4 Paper Release Announcement
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Check out the full paper here! https://
alphaxiv.org/abs/deepseek-v4 -
alphaXiv LaTeX Assistant: Native Generation and Copying
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Tired of typing LaTeX manually?
— alphaXiv (@askalphaxiv) 23 avril 2026
alphaXiv’s assistant now supports native LaTeX generation, rendering, and copying.
No need to edit entire chatbot responses, as every equation is easily copyable.
Simply ask it to generate equations, then copy and paste them wherever you’re… pic.twitter.com/WWl25TM7MwTired of typing LaTeX manually? alphaXiv’s assistant now supports native LaTeX generation, rendering, and copying. No need to edit entire chatbot responses, as every equation is easily copyable. Simply ask it to generate equations, then copy and paste them wherever you’re
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FASTER: Value-Guided Sampling Improves Reinforcement Learning Efficiency
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"FASTER: Value-Guided Sampling for Fast RL" Instead of fully denoising many action candidates and picking the best one at the end, it learns a critic over the noise seed and selects the promising sample upfront. They showed that the advantage of best-of-N is already visible
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Scaling Agent RL with Real-World Environment Synthesis
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"Agent-World: Scaling Real-World Environment Synthesis for Evolving General Agent Intelligence" This paper scales agent RL with actual stateful tool environments instead of toy simulators. A key component is that the environment set is not frozen but continuously expanded
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First Notebook Competition with marimo to Implement AI Papers
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Looking for a weekend project that is both challenging and rewarding? Enter our first notebook competition with @marimo_io to implement AI papers. You also got 5 days left if you want to win a Mac Mini + over $1K in prizes! Full details found below
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Discovering Novel LLM Experts via Task-Capability Coevolution
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Most LLM development still optimizes one model at a time. So this paper from Sakana AI proposes AC/DC (Assessment Coevolving with Diverse Capabilities), where models and tasks evolve together. The main idea is
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New Scientific Article Published on arXiv April 22 2026
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read more: https://alphaxiv.org/abs/2604.14969
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AI Research Challenge: Learn Frontier Techniques and Win
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Don’t miss out on this fun challenge! You’d get to learn current frontier research in-depth and implement them while getting a chance to win prizes. Opportunities like this don’t come often!