DeepSearch: Overcome the Bottleneck of Reinforcement Learning with Verifiable Rewards via Tree-based Search
Fang Wu · Weihao Xuan · Heli Qi · Aaron Tu · Ximing Lu · Li Li · Yejin Choi
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Fang Wu · Weihao Xuan · Heli Qi · Aaron Tu · Ximing Lu · Li Li · Yejin Choi
Weihao Xuan · Qingcheng Zeng · Heli Qi · Yunze Xiao · Junjue Wang · Naoto Yokoya
Autonomous agents based on large language models (LLMs) are rapidly evolving to handle multi-turn tasks, but ensuring their trustworthiness remains a critical challenge. A fundamental pillar of this trustworthiness is calibration, which refers to an agent’s ability to express confidence that reli...
Qingcheng Zeng · Yuheng Lu · Zeqi Zhou · Heli Qi · Puxuan Yu · Fuheng Zhao · Hitomi Yanaka · Weihao Xuan · Naoto Yokoya
Code-switching is a pervasive linguistic phenomenon in global communication, yet modern information retrieval systems remain predominantly designed for, and evaluated within, monolingual contexts. To bridge this critical disconnect, we present a holistic study dedicated to code-switching IR. We i...