Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning

26 May 2023

Papers citing "Language Models Can Improve Event Prediction by Few-Shot Abductive Reasoning"

6 / 6 papers shown

Title
LLMSeR: Enhancing Sequential Recommendation via LLM-based Data Augmentation Yuqi Sun Q. Liu Haiping Zhu Feng Tian 56 0 0 16 Mar 2025
BRIDGE: Bootstrapping Text to Control Time-Series Generation via Multi-Agent Iterative Optimization and Diffusion Modelling Hao Li Yu Huang Chang Xu Viktor Schlegel Ren-He Jiang R. Batista-Navarro Goran Nenadic Jiang Bian DiffM AI4CE 88 3 0 04 Mar 2025
TPP-LLM: Modeling Temporal Point Processes by Efficiently Fine-Tuning Large Language Models Zefang Liu Yinzhu Quan 21 0 0 02 Oct 2024
Large Models for Time Series and Spatio-Temporal Data: A Survey and Outlook Ming Jin Qingsong Wen Yuxuan Liang Chaoli Zhang Siqiao Xue ... Shirui Pan Vincent S. Tseng Yu Zheng Lei Chen Hui Xiong AI4TS SyDa 31 116 0 16 Oct 2023
Chain-of-Thought Prompting Elicits Reasoning in Large Language Models Jason W. Wei Xuezhi Wang Dale Schuurmans Maarten Bosma Brian Ichter F. Xia Ed H. Chi Quoc Le Denny Zhou LM&Ro LRM AI4CE ReLM 315 8,261 0 28 Jan 2022
Temporal Reasoning on Implicit Events from Distant Supervision Ben Zhou Kyle Richardson Qiang Ning Tushar Khot Ashish Sabharwal Dan Roth 150 73 0 24 Oct 2020