SLP-P39.10
The Example Saturation Effect: The Hidden Role of Input Difficulty in In-Context Learning
Xuanbo Fan, BoCi Peng, Hao Sun, JiaXin Guo, Peking University, China; ChunYu Yang, Ucap Cloud Information Technology Co.,Ltd, China; Yan Zhang, Peking University, China
Session:
SLP-P39: Efficient Learning and Inference for LLMs II Poster
Track:
Speech and Language Processing [SL]
Location:
Poster Area 29
Presentation Time:
Thu, 7 May, 14:00 - 16:00
Presentation
Discussion
Resources
No resources available.
Session SLP-P39
SLP-P39.1: A MULTI-ROUND INFERENCE BASED MACHINE READING COMPREHENSION MODEL FOR EMOTION CAUSE PAIR EXTRACTION
Guozheng Rao, Qing Cong, Tianjin University, China; Li Zhang, Tianjin University of Science and Technology, China; Kai Kang, Tianjin University, China; Zhe Zhang, Zaiming Fan, Lina Xu, Xiaochen Ma, Hebei University of Engineering, China
SLP-P39.2: DATA-DRIVEN CLUSTERING AND MERGING OF ADAPTERS FOR ON-DEVICE LARGE LANGUAGE MODELS
Ondrej Bohdal, Taha Ceritli, Mete Ozay, Samsung R&D Institute UK, United Kingdom of Great Britain and Northern Ireland; Jijoong Moon, Kyenghun Lee, Hyeonmok Ko, Samsung Research, Korea, Republic of; Umberto Michieli, Samsung R&D Institute UK, United Kingdom of Great Britain and Northern Ireland
SLP-P39.3: RECURRENT CONFIDENCE CHAIN: TEMPORAL-AWARE UNCERTAINTY QUANTIFICATION IN LARGE LANGUAGE MODELS
Zhenjiang Mao, Anirudhh Venkat, University of Florida, United States of America
SLP-P39.4: ACCEPTANCE-GUIDED ADAPTIVE SPECULATIVE DECODING FOR EFFICIENT LARGE LANGUAGE MODEL INFERENCE
Weiyang Sun, Zifeng Zhu, Yixian Dai, Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing; Beihang University, China; Binghui Guo, Beihang University, China; Yifan Sun, Feng Zhou, Renmin University of China, China
SLP-P39.5: EVOALPHA: AN LLM-ENHANCED EVOLUTIONARY FRAMEWORK FOR FORMULAIC ALPHA MINING
Yihong Wu, Chengcan Lou, East China Normal University, China; Jiayuan Zhang, National University of Singapore, Singapore; Sirong Chen, Lancaster University, United Kingdom of Great Britain and Northern Ireland; Yan Yang, East China Normal University, China
SLP-P39.6: HUNT: DETECTING HALLUCINATIONS VIA MULTI-LAYER DISCRIMINATIVE REPRESENTATIONS IN LARGE LANGUAGE MODELS
Xue Zhang, Anhui University, China; Shuai Zhang, Tsinghua University, China; Wang Xiang, Wuhan University, China; Heng Xie, Beijing Institute of Technology, China; Jianhua Tao, Zhengqi Wen, Tsinghua University, China; Zhao Lv, Cunhang Fan, Anhui University, China
SLP-P39.7: ENHANCING DOCUMENT-LEVEL MACHINE TRANSLATION VIA FILTERED SYNTHETIC CORPORA AND TWO-STAGE LLM ADAPTATION
Ireh Kim, Tesia Sker, Chanwoo Kim, Korea University, Korea, Republic of
SLP-P39.8: DDPT: DISTILLATION AND DYNAMIC PROMPT TUNING FOR IMPROVING COMPLEX REASONING IN LARGE LANGUAGE MODELS
Ge Teng, Zhejiang University, China; Chen Shen, Alibaba Cloud Computing, China; Wenxiao Wang, Zhejiang University; Alibaba Cloud Computing, China; Sinan Fan, Alibaba Cloud Computing, China; Liang Xie, Alibaba Cloud Computing；College of Computer Science and Technology, Zhejiang University of Technology, China; Xiang Tian, Xuesong Liu, Yaowu Chen, Zhejiang University; Zhejiang University Embedded System Engineering Research Center, Ministry of Education of China, China; Jieping Ye, Alibaba Cloud Computing, China
SLP-P39.9: Mitigating Hallucinations in Large Language Models Via Decoder Layer Skipping
Hanze Li, Jinhao You, Yichen Guo, Kai Tang, Shuangyang Xie, Xiande Huang, De Artificial Intelligence Lab, China
SLP-P39.10: The Example Saturation Effect: The Hidden Role of Input Difficulty in In-Context Learning
Xuanbo Fan, BoCi Peng, Hao Sun, JiaXin Guo, Peking University, China; ChunYu Yang, Ucap Cloud Information Technology Co.,Ltd, China; Yan Zhang, Peking University, China
Contacts