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Liang Lin · Zhihao Xu · Junhao Dong · Jian Zhao · Yuchen Yuan · Guibin Zhang · Miao Yu · Yiming Zhang · Zhengtao Yao · Huahui Yi · HAICHUAN TANG · Dongrui Liu · Xinfeng Li · Kun Wang
Zhihao Xu · Fuzhen Yang · Liang Lin · Xiting Wang
Recent advancements in Large Reasoning Models (LRMs) have showcased strong performance across various reasoning tasks by leveraging System-2 thinking capabilities. However, existing studies indicate that this reasoning ability alone does not reliably transfer to the general alignment domain. Insp...
Zhihao Xu · Rumei Li · Jiahuan Li · Rongxiang Weng · Jingang Wang · Xunliang Cai · Xiting Wang
Enabling Large Language Models (LLMs) to effectively utilize tools in multi-turn interactions is essential for building capable autonomous agents. However, acquiring diverse and realistic multi-turn tool-use data remains a significant challenge. In this work, we propose a novel text-based paradig...
Zhihao Xu · Yongqi Tong · Xin Zhang · JUN ZHOU · Xiting Wang
Multi-objective preference alignment often faces alignment conflicts, where optimizing for one objective (e.g., helpfulness) degrades performance on others (e.g., harmlessness). While prior work focuses on algorithmic solutions, the intrinsic conflict within data and its theoretical impact on tra...