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arXiv:2510.07923v1 Announce Type: new Abstract: Answering complex real-world questions requires step-by-step retrieval and integration of relevant information to generate well-grounded...

TL;DR: Skala is a deep-learning exchange–correlation functional for Kohn–Sham Density Functional Theory (DFT) that targets hybrid-level accuracy at semi-local cost,...
arXiv:2510.06811v1 Announce Type: new Abstract: The Circuit Localization track of the Mechanistic Interpretability Benchmark (MIB) evaluates methods for localizing circuits...
arXiv:2505.16834v3 Announce Type: replace Abstract: Retrieval-augmented generation (RAG) systems have advanced large language models (LLMs) in complex deep search scenarios...
arXiv:2510.07239v1 Announce Type: new Abstract: Automated red-teaming has emerged as a scalable approach for auditing Large Language Models (LLMs) prior...
arXiv:2505.14376v2 Announce Type: replace Abstract: Enhancing the quality and efficiency of academic publishing is critical for both authors and reviewers,...

TL;DR: A new research from Apple, formalizes what “mid-training” should do before reinforcement learning RL post-training and introduces RA3 (Reasoning...
arXiv:2510.04417v1 Announce Type: cross Abstract: The study of multimodality has garnered significant interest in fields where the analysis of interactions...
arXiv:2510.01367v3 Announce Type: replace-cross Abstract: Reward hacking, where a reasoning model exploits loopholes in a reward function to achieve high...



