作者位次 #2/2NeurIPS 2026Poster
The Price of Choosing Examples: Context Overfitting in Adaptive In-Context Learning
Xiaoyu Li · Jiangxuan Long
理论与学习动力学OpenReview
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Xiaoyu Li · Jiangxuan Long
Xiaoyu Li · Jiangxuan Long
Shuyao Xu · Cheng Peng · Jiangxuan Long · Weidi Xu · Wei Chu · Yuan Qi
Recent advances in model distillation show that data from advanced reasoning models can effectively train smaller student models. However, standard practices discard incorrect reasoning traces—valuable, yet underutilized data. This paper addresses the critical question: How can both positive and...
Long Li · Zhijian Zhou · Jiangxuan Long · Peiyang Liu · Weidi Xu · Zhe Wang · Shirui Pan · Chao Qu
Agentic Reinforcement Learning (RL) shows promise for complex tasks, but Text-to-SQL remains mostly restricted to single-turn paradigms. A primary bottleneck is the credit assignment problem. In traditional paradigms, rewards are determined solely by the final-turn feedback, which ignores the int...