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Introducing @Alibaba_Qwen 3 Reasoning for understanding research papers 🚀
— alphaXiv (@askalphaxiv) 27 juillet 2025
Highlight any section of a paper to ask questions and “@” other papers for quick context, comparisons, and benchmark references pic.twitter.com/7yG2QNWpzK
Introducing @Alibaba_Qwen 3 Reasoning for understanding research papers Highlight any section of a paper to ask questions and “@” other papers for quick context, comparisons, and benchmark references
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Now available in addition to Gemini and Claude. Check out http://
alphaXiv.org! Alternatively check out our Chrome extension:
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In-context learning is just gradient descent without explicit training! This paper "Learning without training: The implicit dynamics of in-context learning" shows that ICL can be mathematically interpreted as an implicit low-rank weight update during inference.
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Now available in addition to Gemini and Claude. Check out http://
alphaXiv.org! Alternatively check out our Chrome extension:
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"Group Sequence Policy Optimization" Qwen introduces Group Sequence Policy Optimization (GSPO), a RL algorithm for LLMs that uses sequence-level importance weighting and clipping instead of token-level methods, which provides high performing training for MoE models.
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Excited to have @KexinHuang5 giving a talk on Biomni to our AI4Science community tomorrow!
— alphaXiv (@askalphaxiv) 24 juillet 2025
Join us this Friday at 10 AM PST 📢: https://t.co/OxZBYHcWiS https://t.co/l9HKAcidFI
Excited to have @KexinHuang5 giving a talk on Biomni to our AI4Science community tomorrow! Join us this Friday at 10 AM PST : https://
lu.ma/oqz2kyn4
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RLVR'd model would fail to answer questions that its base model previously could. "The Invisible Leash: Why RLVR May Not Escape Its Origin" This research shows that RLVR just boosts the base model’s favorite answers (raising pass@1) and would sacrifice diversity.
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check out the IMO 2025 prompt in full detail: https://
alphaxiv.org/abs/2507.15855
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Google has shared the system prompt that got Gemini 2.5 Pro IMO 2025 Gold Medal paper now #1 trending on alphaXiv
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"Deep Researcher with Test-Time Diffusion" This paper treats report writing as an iterative retrieval‑augmented diffusion process that can be enhanced by component‑wise self‑evolution. This demonstrates SoTA on multi‑hop search‑and‑reasoning benchmarks.