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Kaijian Zou · Feiyang Xiong · Yunxiang Zhang · Xinliang Frederick Zhang · Yueqi Ren · Jirong Yang · Ayoung Lee · Shitanshu Bhushan · Lu Wang
Yunxiang Zhang · Yiheng Li · Ali Payani · Lu Wang
Lechen Zhang · Yunxiang Zhang · Wei Hu · Lu Wang
Large reasoning models such as DeepSeek-R1 and their distilled variants achieve strong performance on complex reasoning tasks. Yet, distilling these models often demands large-scale data for supervised fine-tuning (SFT), motivating the pursuit of data-efficient training methods. To address this,...
Yunxiang Zhang · Muhammad Khalifa · Lechen Zhang · Xin Liu · Ayoung Lee · Xinliang Frederick Zhang · Farima Fatahi Bayat · Lu Wang
Large reasoning models exhibit long chain-of-thought reasoning with complex strategies such as backtracking and self-verification. Yet, these capabilities typically require resource-intensive post-training. We investigate whether such behaviors can be elicited in large models without any gradient...