一作ICML 2026Poster· Deep Learning / Large Language Models
A Unified Approach to Interpreting Knowledge Distillation for Large Language Models via Interactions
Qingzhuo Wang · Ruiyang Qin · Zhenxin Qin · Wen Shen · Zhihua Wei
首次获取该候选人的完整档案及 StartLux 评估共 20 积分；每位用户单独解锁，之后查看免费。主动刷新 20 积分。
实时查找电子邮箱，费用不超过20积分；未找到邮箱不扣费。
Qingzhuo Wang · Ruiyang Qin · Zhenxin Qin · Wen Shen · Zhihua Wei
Ruiyang Qin · Qingzhuo Wang · Tian Wang · Zhihua Wei · Wen Shen
Zhenxin Qin · Qiang Li · Qingzhuo Wang · Ruiyang Qin · Zhihua Wei · Wen Shen
Large Vision-Language Models (LVLMs) have achieved remarkable performance on diverse vision-language tasks. However, LVLMs still suffer from hallucinations, generating text that contradicts the visual input. Existing research has primarily focused on mitigating object hallucinations, but often ov...