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ORCIDKaige Xie
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2020 – today
- 2024
[c9]Kaige Xie, Mark O. Riedl:
Creating Suspenseful Stories: Iterative Planning with Large Language Models. EACL (1) 2024: 2391-2407- [c8]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: 2408-2421 - [c7]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: 12106-12110 - [c6]Xu Liu
, Tong Yu, Kaige Xie, Junda Wu, Shuai Li:
Interact with the Explanations: Causal Debiased Explainable Recommendation System. WSDM 2024: 472-481 - [i10]Chengkai Huang, Tong Yu, Kaige Xie, Shuai Zhang, Lina Yao, Julian J. McAuley:
Foundation Models for Recommender Systems: A Survey and New Perspectives. CoRR abs/2402.11143 (2024) - [i9]Kaige Xie, Mark O. Riedl:
Creating Suspenseful Stories: Iterative Planning with Large Language Models. CoRR abs/2402.17119 (2024) - [i8]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 abs/2404.03514 (2024) - [i7]Kaige Xie, Ian Yang, John Gunerli, Mark O. Riedl:
Making Large Language Models into World Models with Precondition and Effect Knowledge. CoRR abs/2409.12278 (2024) - [i6]Kaige Xie, Philippe Laban, Prafulla Kumar Choubey, Caiming Xiong, Chien-Sheng Wu:
Do RAG Systems Cover What Matters? Evaluating and Optimizing Responses with Sub-Question Coverage. CoRR abs/2410.15531 (2024) - 2023
- [i5]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 abs/2305.12077 (2023) - 2022
- [c5]Kaige Xie, Sarah Wiegreffe, Mark O. Riedl:
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes. EMNLP (Findings) 2022: 2888-2902 - [c4]Xiangyu Peng, Kaige Xie, Amal Alabdulkarim, Harshith Kayam, Samihan Dani, Mark O. Riedl:
Guiding Neural Story Generation with Reader Models. EMNLP (Findings) 2022: 7087-7111 - [i4]Kaige Xie, Sarah Wiegreffe, Mark O. Riedl:
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes. CoRR abs/2204.07693 (2022) - 2021
- [i3]Xiangyu Peng, Kaige Xie, Amal Alabdulkarim, Harshith Kayam, Samihan Dani, Mark O. Riedl:
Guiding Neural Story Generation with Reader Models. CoRR abs/2112.08596 (2021)
2010 – 2019
- 2019
- [c3]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: 1208-1218 - [i2]Tiancheng Zhao, Kaige Xie, Maxine Eskénazi:
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models. CoRR abs/1902.08858 (2019) - 2018
- [c2]Liliang Ren, Kaige Xie, Lu Chen, Kai Yu:
Towards Universal Dialogue State Tracking. EMNLP 2018: 2780-2786 - [c1]Kaige Xie, Cheng Chang, Liliang Ren, Lu Chen, Kai Yu:
Cost-Sensitive Active Learning for Dialogue State Tracking. SIGDIAL Conference 2018: 209-213 - [i1]Liliang Ren, Kaige Xie, Lu Chen, Kai Yu:
Towards Universal Dialogue State Tracking. CoRR abs/1810.09587 (2018)
Coauthor Index
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last updated on 2024-11-27 21:22 CET by the dblp team
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