Towards Universal Dialogue State Tracking. - Liliang Ren; Kaige Xie; Lu Chen 002; Kai Yu 004 (EMNLP, 2018)

Cost-Sensitive Active Learning for Dialogue State Tracking. - Kaige Xie; Cheng Chang; Liliang Ren; Lu Chen 002; Kai Yu 004 (SIGDIAL Conference, 2018)

Rethinking Action Spaces for Reinforcement Learning in End-to-end Dialog Agents with Latent Variable Models. - Tiancheng Zhao; Kaige Xie; Maxine Eskénazi (NAACL-HLT (1), 2019)

Guiding Neural Story Generation with Reader Models. - Xiangyu Peng; Kaige Xie; Amal Alabdulkarim; Harshith Kayam; Samihan Dani; Mark O. Riedl (EMNLP (Findings), 2022)

Calibrating Trust of Multi-Hop Question Answering Systems with Decompositional Probes. - Kaige Xie; Sarah Wiegreffe; Mark O. Riedl (EMNLP (Findings), 2022)

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer. - Kaige Xie; Tong Yu 001; Haoliang Wang; Junda Wu; Handong Zhao; Ruiyi Zhang 002; Kanak Mahadik; Ani Nenkova; Mark O. Riedl (CoRR, 2023)

Creating Suspenseful Stories: Iterative Planning with Large Language Models. - Kaige Xie; Mark O. Riedl (EACL (1), 2024)

Few-Shot Dialogue Summarization via Skeleton-Assisted Prompt Transfer in Prompt Tuning. - Kaige Xie; Tong Yu 001; Haoliang Wang; Junda Wu; Handong Zhao; Ruiyi Zhang 002; Kanak Mahadik; Ani Nenkova; Mark O. Riedl (EACL (1), 2024)

Exploring Soft Prompt Initialization Strategy for Few-Shot Continual Text Classification. - Zhehao Zhang 001; Tong Yu 001; Handong Zhao; Kaige Xie; Lina Yao 001; Shuai Li 010 (ICASSP, 2024)

Interact with the Explanations: Causal Debiased Explainable Recommendation System. - Xu Liu; Tong Yu 001; Kaige Xie; Junda Wu; Shuai Li 010 (WSDM, 2024)

Foundation Models for Recommender Systems: A Survey and New Perspectives. - Chengkai Huang; Tong Yu 001; Kaige Xie; Shuai Zhang 007; Lina Yao 001; Julian J. McAuley (CoRR, 2024)

Learn When (not) to Trust Language Models: A Privacy-Centric Adaptive Model-Aware Approach. - Chengkai Huang; Rui Wang 088; Kaige Xie; Tong Yu 001; Lina Yao 001 (CoRR, 2024)

Embedding-Informed Adaptive Retrieval-Augmented Generation of Large Language Models. - Chengkai Huang; Yu Xia 007; Rui Wang 088; Kaige Xie; Tong Yu 001; Julian J. McAuley; Lina Yao 001 (COLING, 2025)

Making Large Language Models into World Models with Precondition and Effect Knowledge. - Kaige Xie; Ian Yang; John Gunerli; Mark O. Riedl (COLING, 2025)

Do RAG Systems Cover What Matters? Evaluating and Optimizing Responses with Sub-Question Coverage. - Kaige Xie; Philippe Laban; Prafulla Kumar Choubey; Caiming Xiong; Chien-Sheng Wu (NAACL (Long Papers), 2025)

A Survey of Foundation Model-Powered Recommender Systems: From Feature-Based, Generative to Agentic Paradigms. - Chengkai Huang; Hongtao Huang; Tong Yu 001; Kaige Xie; Junda Wu; Shuai Zhang 007; Julian J. McAuley; Dietmar Jannach; Lina Yao 001 (CoRR, 2025)