KDD 2026发布最新基准MirrorBench，重新定义对话代理拟人化评估标准，推动人机交互研究新高度
arXiv:2601.08118v3 Announce Type: replace-cross Abstract: Large language models (LLMs) are increasingly used as human simulators, both for evaluating …
新基准Artifact-Bench，专门评估多模态大模型识别AI视频伪影的能力，揭示模型真实短板。
arXiv:2605.18984v1 Announce Type: new Abstract: Recent video generative models have greatly improved the realism of AI-generated videos, yet their out…
专为专业领域设计的评估基准，多域知识、高难度问答，考验大模型真实能力
arXiv:2510.18941v2 Announce Type: replace-cross Abstract: Evaluating progress in large language models (LLMs) is often constrained by the challenge of…
提出审计约束协议，精准测试LLM推理对提示变化的脆弱性，避免错误归因。
arXiv:2605.11599v2 Announce Type: replace Abstract: Fixed reasoning benchmarks evaluate canonical prompts, but semantically valid changes in presentat…
视觉物体移除评估新基准，解决感知一致性难题，比现有指标更贴近人类判断。
arXiv:2605.14534v1 Announce Type: cross Abstract: Evaluating object removal in images and videos remains challenging because the task is inherently on…
AI视频推理新突破：用时空提示增强第一人称视频理解，还附带中间步骤评估，填补了基准空白。
arXiv:2605.15342v1 Announce Type: cross Abstract: Video reasoning models are a core component of egocentric and embodied agents. However, standard ben…
新研究提出人机协同编码评估系统，填补现有测试与LLM基准的空白，聚焦真实协作场景。
arXiv:2512.04111v2 Announce Type: replace-cross Abstract: LLM-powered coding agents are reshaping the development paradigm. However, existing evaluati…