arXiv:2507.22367v1 Announce Type: new Abstract: Accurate and reliable personality assessment plays a vital role in many fields, such as emotional...

arXiv:2502.13820v3 Announce Type: replace-cross Abstract: Synthetic verification techniques such as generating test cases and reward modelling are common ways to...

arXiv:2504.11829v3 Announce Type: replace Abstract: Generation capabilities and language coverage of multilingual large language models (mLLMs) are advancing rapidly. However,...

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...

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...