药物发现遇上智能体，看LLM评估系统如何借人类对齐把关可靠性
arXiv:2608.21057v1 Announce Type: new Abstract: Agentic large language model (LLM) systems are reshaping scientific workflows in chemistry and drug di…
用回归探测评估大模型，兼顾规模与人类偏好，为评测提供新思路。
arXiv:2601.18253v2 Announce Type: replace-cross Abstract: Accurate evaluation of user satisfaction is critical for iterative development of conversati…
前沿研究探讨如何让AI助手在符合人类偏好的前提下辅助决策，揭秘人机对齐新方法
arXiv:2605.12646v2 Announce Type: replace-cross Abstract: It is widely agreed that when AI models assist decision-makers in high-stakes domains by pre…
自动驾驶长尾场景安全评估新突破，揭示闭环指标饱和缺陷
arXiv:2606.16313v1 Announce Type: cross Abstract: Long-tail scenarios remain a major bottleneck for autonomous driving evaluation, even as datasets gr…
用LLM模拟真实用户评估UI/UX，自动生成人类对齐反馈，大幅降低人工测试成本。
arXiv:2606.05697v1 Announce Type: new Abstract: User interface (UI) and user experience (UX) evaluation is central to product development, yet reliabl…
让大语言模型的不确定性估计更贴近人类判断，这篇论文提出了一种推理时校准方法，提升模型可信度。
arXiv:2508.08204v2 Announce Type: replace-cross Abstract: There has been much recent interest in evaluating large language models for uncertainty cali…
VLM在自然阅读场景中未必比LLM更符合人类偏好，一项严谨的实验发现颠覆直观认知。
arXiv:2605.28818v1 Announce Type: new Abstract: Large language models (LLMs) have become increasingly useful computational models of human language pr…