作者位次 #5/6ICLR 2026Poster· Deep Learning / Algorithms
Holdout-Loss-Based Data Selection for LLM Finetuning via In-Context Learning
Ling Zhang · Xianliang Yang · Juwon Yu · Park Cheonyoung · Lei Song · Jiang Bian
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Ling Zhang · Xianliang Yang · Juwon Yu · Park Cheonyoung · Lei Song · Jiang Bian
Shuoshuo Zhang · Zijian Li · Yizhen Zhang · Jingjing Fu · Lei Song · Jiang Bian · Jun Zhang · Yujiu Yang · Rui Wang
Qiushui Xu · Yuhao Huang · Yushu Jiang · Wenliang Zheng · Lei Song · Jinyu Wang · Jiang Bian
Shuoshuo Zhang · Yizhen Zhang · Jingjing Fu · Lei Song · Jiang Bian · Yujiu Yang · Rui Wang
Yiyuan Yang · Zichuan Liu · Lei Song · Kai Ying · Stephen Wang · Joshua Thomas Bamford · Svitlana Vyetrenko · Jiang Bian · Qingsong Wen
Time series anomaly detection (TSAD) has traditionally focused on binary classification and often lacks the fine-grained categorization and explanatory reasoning required for transparent decision-making. To address these limitations, we propose Time-series Reasoning for Anomaly (Time-RA), a novel...