Sizhe Zhou

According to our database, Sizhe Zhou authored at least 21 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

F-GRPO: Factorized Group-Relative Policy Optimization for Unified Candidate Generation and Ranking.

Rohan Surana, Gagan Mundada, Junda Wu, Xintong Li, Yizhu Jiao, Bowen Jin, Sizhe Zhou, Tong Yu, Ritwik Sinha, Jiawei Han, Jingbo Shang, Julian J. McAuley

CoRR, May, 2026

OLIVIA: Online Learning via Inference-time Action Adaptation for Decision Making in LLM ReAct Agents.

Sheldon Yu, Junda Wu, Xintong Li, Nikki Lijing Kuang, Sizhe Zhou, Tong Yu, Jiawei Han, Jingbo Shang, Julian J. McAuley

CoRR, May, 2026

Generate, Filter, Control, Replay: A Comprehensive Survey of Rollout Strategies for LLM Reinforcement Learning.

Rohan Surana, Gagan Mundada, Xunyi Jiang, Chuhan Wang, Zhenwei Tang, Difan Jiao, Zihan Huang, Yuxin Xiong, Junda Wu, Sheldon Yu, Xintong Li, Raghav Jain, Nikki Kuang, Sizhe Zhou, Bowen Jin, Zhendong Chu, Tong Yu, Ryan Rossi, Kuan-Hao Huang, Jingbo Shang, Jiawei Han, Julian J. McAuley

CoRR, May, 2026

MultiCube-RAG for Multi-hop Question Answering.

Jimeng Shi, Wei Hu, Runchu Tian, Bowen Jin, Wonbin Kweon, SeongKu Kang, Yunfan Kang, Dingqi Ye, Sizhe Zhou, Shaowen Wang, Jiawei Han

CoRR, February, 2026

2025

A Simple Yet Strong Baseline for Long-Term Conversational Memory of LLM Agents.

Sizhe Zhou, Jiawei Han

CoRR, November, 2025

Hypercube-RAG: Hypercube-Based Retrieval-Augmented Generation for In-domain Scientific Question-Answering.

Jimeng Shi, Sizhe Zhou, Bowen Jin, Wei Hu, Shaowen Wang, Giri Narasimhan, Jiawei Han

CoRR, May, 2025

Deep Learning and Foundation Models for Weather Prediction: A Survey.

Jimeng Shi, Azam Shirali, Bowen Jin, Sizhe Zhou, Wei Hu, Rahuul Rangaraj, Shaowen Wang, Jiawei Han, Zhaonan Wang, Upmanu Lall, Yanzhao Wu, Leonardo Bobadilla, Giri Narasimhan

CoRR, January, 2025

Retrieval and Structuring Augmented Generation with LLMs for Web Applications.

Yizhu Jiao, Siru Ouyang, Ming Zhong, Yunyi Zhang, Linyi Ding, Sizhe Zhou, Jiawei Han

Proceedings of the Companion Proceedings of the ACM on Web Conference 2025, 2025

DynamicRAG: Leveraging Outputs of Large Language Model as Feedback for Dynamic Reranking in Retrieval-Augmented Generation.

Jiashuo Sun, Xianrui Zhong, Sizhe Zhou, Jiawei Han

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

From RAG to Memory: Non-Parametric Continual Learning for Large Language Models.

Bernal Jiménez Gutiérrez, Yiheng Shu, Weijian Qi, Sizhe Zhou, Yu Su

Proceedings of the Forty-second International Conference on Machine Learning, 2025

2024

Establishing Knowledge Preference in Language Models.

Sizhe Zhou, Sha Li, Yu Meng, Yizhu Jiao, Heng Ji, Jiawei Han

CoRR, 2024

Automated Construction of Theme-specific Knowledge Graphs.

Linyi Ding, Sizhe Zhou, Jinfeng Xiao, Jiawei Han

CoRR, 2024

Large Language Models as User-Agents For Evaluating Task-Oriented-Dialogue Systems.

Taaha Kazi, Ruiliang Lyu, Sizhe Zhou, Dilek Hakkani-Tür, Gokhan Tur

Proceedings of the IEEE Spoken Language Technology Workshop, 2024

Geospatial Topological Relation Extraction from Text with Knowledge Augmentation.

Wei Hu, Bowen Jin, Minhao Jiang, Sizhe Zhou, Zhaonan Wang, Jiawei Han, Shaowen Wang

Proceedings of the 2024 SIAM International Conference on Data Mining, 2024

Automated Mining of Structured Knowledge from Text in the Era of Large Language Models.

Yunyi Zhang, Ming Zhong, Siru Ouyang, Yizhu Jiao, Sizhe Zhou, Linyi Ding, Jiawei Han

Proceedings of the 30th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2024

Grasping the Essentials: Tailoring Large Language Models for Zero-Shot Relation Extraction.

Sizhe Zhou, Yu Meng, Bowen Jin, Jiawei Han

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Topic-Oriented Open Relation Extraction with A Priori Seed Generation.

Linyi Ding, Jinfeng Xiao, Sizhe Zhou, Chaoqi Yang, Jiawei Han

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Text2DB: Integration-Aware Information Extraction with Large Language Model Agents.

Yizhu Jiao, Sha Li, Sizhe Zhou, Heng Ji, Jiawei Han

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Corpus-Based Relation Extraction by Identifying and Refining Relation Patterns.

Sizhe Zhou, Suyu Ge, Jiaming Shen, Jiawei Han

Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023

Geospatial Knowledge Hypercube.

Zhaonan Wang, Bowen Jin, Wei Hu, Minhao Jiang, Seungyeon Kang, Zhiyuan Li, Sizhe Zhou, Jiawei Han, Shaowen Wang

Proceedings of the 31st ACM International Conference on Advances in Geographic Information Systems, 2023

Towards End-to-End Open Conversational Machine Reading.

Sizhe Zhou, Siru Ouyang, Zhuosheng Zhang, Hai Zhao

Proceedings of the Findings of the Association for Computational Linguistics: EACL 2023, 2023