Kaige Xie

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Skeleton Extraction

Question Answering

Story Generation

Top Venues

EMNLP (Findings)

Publications

Kaige Xie, Mark O. Riedl
Creating Suspenseful Stories: Iterative Planning with Large Language Models. EACL (1) (2024)
Kaige Xie, Mark O. Riedl
Creating Suspenseful Stories: Iterative Planning with Large Language Models. CoRR (2024)
Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning. EACL (1) (2024)
Zhehao Zhang, Tong Yu, Handong Zhao, Kaige Xie, Lina Yao, Shuai Li
Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification. ICASSP (2024)
Chengkai Huang, Tong Yu, Kaige Xie, Shuai Zhang, Lina Yao, Julian J. McAuley
Foundation Models for Recommender Systems: A Survey and New Perspectives. CoRR (2024)
Xu Liu, Tong Yu, Kaige Xie, Junda Wu, Shuai Li
Interact with the Explanations: Causal Debiased Explainable Recommendation System. WSDM (2024)
Chengkai Huang, Rui Wang, Kaige Xie, Tong Yu, Lina Yao
Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach. CoRR (2024)
Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer. CoRR (2023)
Xiangyu Peng, Kaige Xie, Amal Alabdulkarim, Harshith Kayam, Samihan Dani, Mark O. Riedl
Guiding Neural Story Generation with Reader Models. EMNLP (Findings) (2022)
Kaige Xie, Sarah Wiegreffe, Mark O. Riedl
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes. EMNLP (Findings) (2022)
Kaige Xie, Sarah Wiegreffe, Mark O. Riedl
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes. CoRR (2022)
Xiangyu Peng, Kaige Xie, Amal Alabdulkarim, Harshith Kayam, Samihan Dani, Mark O. Riedl
Guiding Neural Story Generation with Reader Models. CoRR (2021)
Tiancheng Zhao, Kaige Xie, Maxine Eskénazi
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models. NAACL-HLT (1) (2019)
Tiancheng Zhao, Kaige Xie, Maxine Eskénazi
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models. CoRR (2019)
Liliang Ren, Kaige Xie, Lu Chen, Kai Yu
Towards Universal Dialogue State Tracking. EMNLP (2018)
Liliang Ren, Kaige Xie, Lu Chen, Kai Yu
Towards Universal Dialogue State Tracking. CoRR (2018)
Kaige Xie, Cheng Chang, Liliang Ren, Lu Chen, Kai Yu
Cost-Sensitive Active Learning for Dialogue State Tracking. SIGDIAL Conference (2018)