Evergreen: Efficient Claim Verification for Semantic Aggregates
arXiv:2604.26180v2 Announce Type: replace-cross Abstract: With recent semantic query processing engines, semantic aggregation has become a primitive operator, enabling the…
arXiv:2604.26180v2 Announce Type: replace-cross Abstract: With recent semantic query processing engines, semantic aggregation has become a primitive operator, enabling the…
arXiv:2607.01083v2 Announce Type: replace-cross Abstract: High-throughput RLHF systems often decouple rollout generation from policy optimization, leading to the use of…
Nature Machine Intelligence, Published online: 03 July 2026; doi:10.1038/s42256-026-01267-z Berner et al. show how to adapt popular neural networks into…
arXiv:2606.31163v2 Announce Type: replace-cross Abstract: Large language models deployed in regulated industries operate under two constraints: compliance enforcement and cost…
arXiv:2607.00852v1 Announce Type: cross Abstract: This work studies the hidden-state inversion problem: recovering the original input token sequence of a…
arXiv:2606.31522v2 Announce Type: replace-cross Abstract: Large Language Models (LLMs) are increasingly deployed as autonomous financial agents initialized with explicit behavioral…
arXiv:2607.00860v1 Announce Type: cross Abstract: Millimeter-wave (mmWave) beam alignment plays a critical role in next-generation wireless systems, yet its efficient…
arXiv:2607.00001v1 Announce Type: new Abstract: Most approaches to AI alignment treat human preferences as fixed targets to be inferred and…