Kaige Xie

23 papers A* 1A 1B 2Misc 1Journal 11Unranked 7
YearRankTypeTitle / Venue / Authors
2025 J jnl
A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms.
CoRR
Chengkai Huang, Hongtao Huang, Tong Yu, Kaige Xie, Junda Wu, Shuai Zhang, Julian J. McAuley, Dietmar Jannach, Lina Yao
2025 — conf
Do RAG Systems Cover What Matters? Evaluating and Optimizing Responses with Sub-Question Coverage.
NAACL (Long Papers)
Kaige Xie, Philippe Laban, Prafulla Kumar Choubey, Caiming Xiong, Chien-Sheng Wu
2025 B conf
Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models.
COLING
Chengkai Huang, Yu Xia, Rui Wang, Kaige Xie, Tong Yu, Julian J. McAuley, Lina Yao
2025 B conf
Making Large Language Models into World Models with Precondition and Effect Knowledge.
COLING
Kaige Xie, Ian Yang, John Gunerli, Mark O. Riedl
2024 — conf
Creating Suspenseful Stories: Iterative Planning with Large Language Models.
EACL (1)
Kaige Xie, Mark O. Riedl
2024 J jnl
Creating Suspenseful Stories: Iterative Planning with Large Language Models.
CoRR
Kaige Xie, Mark O. Riedl
2024 J jnl
Do RAG Systems Cover What Matters? Evaluating and Optimizing Responses with Sub-Question Coverage.
CoRR
Kaige Xie, Philippe Laban, Prafulla Kumar Choubey, Caiming Xiong, Chien-Sheng Wu
2024 Misc conf
Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification.
ICASSP
Zhehao Zhang, Tong Yu, Handong Zhao, Kaige Xie, Lina Yao, Shuai Li
2024 — conf
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning.
EACL (1)
Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl
2024 J jnl
Foundation Models for Recommender Systems: A Survey and New Perspectives.
CoRR
Chengkai Huang, Tong Yu, Kaige Xie, Shuai Zhang, Lina Yao, Julian J. McAuley
2024 A conf
Interact with the Explanations: Causal Debiased Explainable Recommendation System.
WSDM
Xu Liu, Tong Yu, Kaige Xie, Junda Wu, Shuai Li
2024 J jnl
Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach.
CoRR
Chengkai Huang, Rui Wang, Kaige Xie, Tong Yu, Lina Yao
2024 J jnl
Making Large Language Models into World Models with Precondition and Effect Knowledge.
CoRR
Kaige Xie, Ian Yang, John Gunerli, Mark O. Riedl
2023 J jnl
Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer.
CoRR
Kaige Xie, Tong Yu, Haoliang Wang, Junda Wu, Handong Zhao, Ruiyi Zhang, Kanak Mahadik, Ani Nenkova, Mark O. Riedl
2022 — conf
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes.
EMNLP (Findings)
Kaige Xie, Sarah Wiegreffe, Mark O. Riedl
2022 J jnl
Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes.
CoRR
Kaige Xie, Sarah Wiegreffe, Mark O. Riedl
2022 — conf
Guiding Neural Story Generation with Reader Models.
EMNLP (Findings)
Xiangyu Peng, Kaige Xie, Amal Alabdulkarim, Harshith Kayam, Samihan Dani, Mark O. Riedl
2021 J jnl
Guiding Neural Story Generation with Reader Models.
CoRR
Xiangyu Peng, Kaige Xie, Amal Alabdulkarim, Harshith Kayam, Samihan Dani, Mark O. Riedl
2019 — conf
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models.
NAACL-HLT (1)
Tiancheng Zhao, Kaige Xie, Maxine Eskénazi
2019 J jnl
Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models.
CoRR
Tiancheng Zhao, Kaige Xie, Maxine Eskénazi
2018 — conf
Cost-Sensitive Active Learning for Dialogue State Tracking.
SIGDIAL Conference
Kaige Xie, Cheng Chang, Liliang Ren, Lu Chen, Kai Yu
2018 A* conf
Towards Universal Dialogue State Tracking.
EMNLP
Liliang Ren, Kaige Xie, Lu Chen, Kai Yu
2018 J jnl
Towards Universal Dialogue State Tracking.
CoRR
Liliang Ren, Kaige Xie, Lu Chen, Kai Yu