Now you really cannot trust everything you read on arXiv anymore. And young researchers will probably have a harder time getting their fresh work seen.
blog.arxiv.org/2025/10/31/a...
blog.arxiv.org/2025/10/31/a...
Attention Authors: Updated Practice for Review Articles and Position Papers in arXiv CS Category – arXiv blog
blog.arxiv.org
November 3, 2025 at 5:15 AM
Now you really cannot trust everything you read on arXiv anymore. And young researchers will probably have a harder time getting their fresh work seen.
blog.arxiv.org/2025/10/31/a...
blog.arxiv.org/2025/10/31/a...
For a long time the lack of formal acceptance was not a problem, because most submissions were honest research and the platform was all about lowering barriers and opening access to science.
Attention Authors: Updated Practice for Review Articles and Position Papers in arXiv CS Category – arXiv blog
blog.arxiv.org
November 3, 2025 at 5:15 AM
For a long time the lack of formal acceptance was not a problem, because most submissions were honest research and the platform was all about lowering barriers and opening access to science.
based on six key technical pillars: Long Chain-of-thought Supervised Finetuning, Reinforcement Learning with Verifiable Rewards (RLVR), Agentic planning prior to reasoning, Test-time Scaling, Speculative Decoding, and Inference-optimized Hardware:
arxiv.org/abs/2509.07604
arxiv.org/abs/2509.07604
K2-Think: A Parameter-Efficient Reasoning System
K2-Think is a reasoning system that achieves state-of-the-art performance with a 32B parameter model, matching or surpassing much larger models like GPT-OSS 120B and DeepSeek v3.1. Built on the Qwen2....
arxiv.org
September 14, 2025 at 3:52 PM
based on six key technical pillars: Long Chain-of-thought Supervised Finetuning, Reinforcement Learning with Verifiable Rewards (RLVR), Agentic planning prior to reasoning, Test-time Scaling, Speculative Decoding, and Inference-optimized Hardware:
arxiv.org/abs/2509.07604
arxiv.org/abs/2509.07604