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arXiv:2510.13909v1 Announce Type: new Abstract: Inductive Knowledge Graph Reasoning (KGR) aims to discover facts in open-domain KGs containing unknown entities...
arXiv:2510.13302v1 Announce Type: new Abstract: Computational stylometry analyzes writing style through quantitative patterns in text, supporting applications from forensic tasks...
arXiv:2505.10113v3 Announce Type: replace Abstract: In this paper, we introduce S-MedQA, an English medical question-answering (QA) dataset for benchmarking large...
arXiv:2510.12915v1 Announce Type: cross Abstract: Critical thinking represents a fundamental competency in today’s education landscape. Developing critical thinking skills through...
arXiv:2510.13163v1 Announce Type: new Abstract: Most large language models (LLMs) today excel at generating raw, sequential code with minimal abstractions...

What would you build if you could run Reinforcement Learning (RL) post-training on a 32B LLM in 4-bit NVFP4—on a...
arXiv:2510.12133v1 Announce Type: new Abstract: With the widespread use of multi-modal Large Language models (MLLMs), safety issues have become a...
arXiv:2510.08558v2 Announce Type: replace-cross Abstract: A long-term goal of language agents is to learn and improve through their own experience,...
arXiv:2510.12137v1 Announce Type: new Abstract: Large Language Models (LLMs) hallucinate, generating factually incorrect yet confident assertions. We argue this stems...

