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arXiv:2507.21108v1 Announce Type: new Abstract: Given the large size and volumes of contracts and their underlying inherent complexity, manual reviews...
arXiv:2507.07634v2 Announce Type: replace Abstract: We consider the problem of answering complex questions, given access to a large unstructured document...
arXiv:2507.21107v1 Announce Type: new Abstract: We propose Curved Inference – a geometric Interpretability framework that tracks how the residual stream...
Reinforcement Learning with Verifiable Rewards (RLVR) allows LLMs to perform complex reasoning on tasks with clear, verifiable outcomes, with strong...
Large language models (LLMs) have recently demonstrated remarkable progress in multi-step reasoning, establishing mathematical problem-solving as a rigorous benchmark for...
arXiv:2505.02820v2 Announce Type: replace-cross Abstract: Agents are predominantly evaluated and optimized via task success metrics, which are coarse, rely on...
arXiv:2507.19995v1 Announce Type: new Abstract: The advent of large language models (LLMs) has led to significant achievements in various domains,...
arXiv:2507.20924v1 Announce Type: new Abstract: Sexism has become widespread on social media and in online conversation. To help address this...
arXiv:2507.19980v1 Announce Type: new Abstract: This study investigates the estimation of reliability for large language models (LLMs) in scoring writing...
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