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Shuang Chen · Hangyu Guo · Yimeng Ye · Shijue Huang · Wenbo Hu · Jiayu Chen · Manyuan Zhang · Haoxi Li · Song Guo · Nanyun (Violet) Peng
Yongjiang Liu · Haoxi Li · Xiaosong Ma · Jie ZHANG · Song Guo
Recent Large Reasoning Models (LRMs) excel at complex reasoning tasks but often suffer from overthinking, generating overly long and redundant reasoning trajectories. To explore its essence, our empirical analysis reveals that LRMs are primarily limited to recognizing task properties (i.e., diffi...
Sikai Bai · Haoxi Li · Jie ZHANG · Yongjiang Liu · Song Guo
Despite significant advances in Large Reasoning Models (LRMs) driven by reinforcement learning with verifiable rewards (RLVR), this paradigm is fundamentally limited in specialized or novel domains where such supervision is prohibitively expensive or unavailable, posing a key challenge for test-t...