Kuicai Dong

According to our database, Kuicai Dong authored at least 23 papers between 2021 and 2025.

Collaborative distances:

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

2025

A Unified Framework for Multi-Domain CTR Prediction via Large Language Models.

Zichuan Fu, Xiangyang Li, Chuhan Wu, Yichao Wang, Kuicai Dong, Xiangyu Zhao, Mengchen Zhao, Huifeng Guo, Ruiming Tang

ACM Trans. Inf. Syst., September, 2025

Humanity's Last Code Exam: Can Advanced LLMs Conquer Human's Hardest Code Competition?

Xiangyang Li, Xiaopeng Li, Kuicai Dong, Quanhu Zhang, Rongju Ruan, Xinyi Dai, Xiaoshuang Liu, Shengchun Xu, Yasheng Wang, Ruiming Tang

CoRR, June, 2025

Benchmarking Retrieval-Augmented Multimomal Generation for Document Question Answering.

Kuicai Dong, Yujing Chang, Shijie Huang, Yasheng Wang, Ruiming Tang, Yong Liu

CoRR, May, 2025

Process vs. Outcome Reward: Which is Better for Agentic RAG Reinforcement Learning.

Wenlin Zhang, Xiangyang Li, Kuicai Dong, Yichao Wang, Pengyue Jia, Xiaopeng Li, Yingyi Zhang, Derong Xu, Zhaocheng Du, Huifeng Guo, Ruiming Tang, Xiangyu Zhao

CoRR, May, 2025

MMDocIR: Benchmarking Multi-Modal Retrieval for Long Documents.

Kuicai Dong, Yujing Chang, Derrick-Goh-Xin Deik, Dexun Li, Ruiming Tang, Yong Liu

CoRR, January, 2025

LLMTreeRec: Unleashing the Power of Large Language Models for Cold-Start Recommendations.

Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

Proceedings of the 31st International Conference on Computational Linguistics, 2025

CtrlA: Adaptive Retrieval-Augmented Generation via Inherent Control.

Huanshuo Liu, Hao Zhang, Zhijiang Guo, Jing Wang, Kuicai Dong, Xiangyang Li, Yi Quan Lee, Cong Zhang, Yong Liu

Proceedings of the Findings of the Association for Computational Linguistics, 2025

Adaptive Tool Use in Large Language Models with Meta-Cognition Trigger.

Wenjun Li, Dexun Li, Kuicai Dong, Cong Zhang, Hao Zhang, Weiwen Liu, Yasheng Wang, Ruiming Tang, Yong Liu

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

CoIR: A Comprehensive Benchmark for Code Information Retrieval Models.

Xiangyang Li, Kuicai Dong, Yi Quan Lee, Wei Xia, Hao Zhang, Xinyi Dai, Yasheng Wang, Ruiming Tang

Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2025

RAPID: Efficient Retrieval-Augmented Long Text Generation with Writing Planning and Information Discovery.

Hongchao Gu, Dexun Li, Kuicai Dong, Hao Zhang, Hang Lv, Hao Wang, Defu Lian, Yong Liu, Enhong Chen

Proceedings of the Findings of the Association for Computational Linguistics, 2025

2024

CoIR: A Comprehensive Benchmark for Code Information Retrieval Models.

Xiangyang Li, Kuicai Dong, Yi Quan Lee, Wei Xia, Yichun Yin, Hao Zhang, Yong Liu, Yasheng Wang, Ruiming Tang

CoRR, 2024

CtrlA: Adaptive Retrieval-Augmented Generation via Probe-Guided Control.

Huanshuo Liu, Hao Zhang, Zhijiang Guo, Kuicai Dong, Xiangyang Li, Yi Quan Lee, Cong Zhang, Yong Liu

CoRR, 2024

Multi-view Content-aware Indexing for Long Document Retrieval.

Kuicai Dong, Derrick-Goh-Xin Deik, Yi Quan Lee, Hao Zhang, Xiangyang Li, Cong Zhang, Yong Liu

CoRR, 2024

Tired of Plugins? Large Language Models Can Be End-To-End Recommenders.

Wenlin Zhang, Chuhan Wu, Xiangyang Li, Yuhao Wang, Kuicai Dong, Yichao Wang, Xinyi Dai, Xiangyu Zhao, Huifeng Guo, Ruiming Tang

CoRR, 2024

Aligning Crowd Feedback via Distributional Preference Reward Modeling.

Dexun Li, Cong Zhang, Kuicai Dong, Derrick-Goh-Xin Deik, Ruiming Tang, Yong Liu

CoRR, 2024

MC-indexing: Effective Long Document Retrieval via Multi-view Content-aware Indexing.

Kuicai Dong, Derrick-Goh-Xin Deik, Yi Lee, Hao Zhang, Xiangyang Li, Cong Zhang, Yong Liu

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

Collaborative Cross-modal Fusion with Large Language Model for Recommendation.

Zhongzhou Liu, Hao Zhang, Kuicai Dong, Yuan Fang

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Shall We Trust All Relational Tuples by Open Information Extraction? A Study on Speculation Detection.

Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li

CoRR, 2023

DOCoR: Document-level OpenIE with Coreference Resolution.

Shan Jie Yong, Kuicai Dong, Aixin Sun

Proceedings of the Sixteenth ACM International Conference on Web Search and Data Mining, 2023

From Speculation Detection to Trustworthy Relational Tuples in Information Extraction.

Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li

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

Open Information Extraction via Chunks.

Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

2022

Syntactic Multi-view Learning for Open Information Extraction.

Kuicai Dong, Aixin Sun, Jung-Jae Kim, Xiaoli Li

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

DocOIE: A Document-level Context-Aware Dataset for OpenIE.

Kuicai Dong, Yilin Zhao, Aixin Sun, Jung-Jae Kim, Xiaoli Li

Proceedings of the Findings of the Association for Computational Linguistics: ACL/IJCNLP 2021, 2021