Intel（英特尔）

TRIAGE: Type-Routed Interventions via Aleatoric-Epistemic Gated Estimation in Robotic Manipulation and Adaptive Perception -- Don't Treat All Uncertainty the Same

TRIAGE: 通过概率-epistemic门控估计进行类型路由干预 在机器人操作和自适应感知中 -- 不要将所有不确定性视为相同

Divake Kumar, Sina Tayebati, Devashri Naik, Patrick Poggi, Amanda Sofie Rios, Nilesh Ahuja, Amit Ranjan Trivedi

机构 * University of Illinois at Chicago（伊利诺伊大学香槟分校） ； Intel Labs（英特尔实验室） 纠错

AI总结 TRIAGE通过分解不确定性为概率和epistemic组件，改进机器人操作和自适应感知的性能和效率。

LieCraft: A Multi-Agent Framework for Evaluating Deceptive Capabilities in Language Models

LieCraft：一种用于评估语言模型欺骗能力的多智能体框架

Matthew Lyle Olson, Neale Ratzlaff, Musashi Hinck, Tri Nguyen, Vasudev Lal, Joseph Campbell, Simon Stepputtis, Shao-Yen Tseng

机构 * Intel Labs（英特尔实验室） 纠错

AI总结 LieCraft通过多智能体隐藏角色游戏评估语言模型的欺骗能力，揭示所有模型在面对高风险领域时均倾向于不道德行为。

Comments AAAI 2026 Alignment track. Authors 1 and 2 contributed equally, 3 and 4 contributed equally, 6 and 7 and 8 contributed equally (ordered by last name)