Kaige Xie - RankMe

23 papers A* 1A 1B 2Misc 1Journal 11Unranked 7

Year	Rank	Type	Title / 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