Publications

One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models

Published in AAAI, 2025

AAAI 2025 received 12,957 submissions (not including desk rejected papers), and among these we have accepted 3,032 submissions for presentation at the conference, an acceptance rate of 23.4%.

Recommended citation: Zhu, Y., Huang, Z., Dou, Z., & Wen, J.-R. (2025). One Token Can Help! Learning Scalable and Pluggable Virtual Tokens for Retrieval-Augmented Large Language Models. Proceedings of the AAAI Conference on Artificial Intelligence, 39(24), 26166-26174. https://doi.org/10.1609/aaai.v39i24.34813 https://ojs.aaai.org/index.php/AAAI/article/view/34813

CAGS: Context-Aware Document Ranking with Contrastive Graph Sampling

Published in TKDE, 2024

TKDE 2024 published 12 issues with a total of 666 papers.

Recommended citation: Z. Huang, Z. Dou, Y. Zhu and J. -R. Wen, CAGS: Context-Aware Document Ranking with Contrastive Graph Sampling, in IEEE Transactions on Knowledge and Data Engineering, doi: 10.1109/TKDE.2024.3491996. keywords: {Data augmentation;Context modeling;Data models;Search engines;Contrastive learning;Training;Search problems;Encoding;Bidirectional control;Predictive models;Context-aware document ranking;contrastive learning;graph sampling} https://ieeexplore.ieee.org/document/10742917

MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling

Published in Findings of EMNLP, 2022

EMNLP 2022 received 3964 papers and finally accepted 828 main conference papers (20.91%) and 548 findings (13.85%). 34.76% papers were accepted in total.

Recommended citation: Zhaoheng Huang, Zhicheng Dou, Yutao Zhu, and Zhengyi Ma. 2022. MCP: Self-supervised Pre-training for Personalized Chatbots with Multi-level Contrastive Sampling. In Findings of the Association for Computational Linguistics: EMNLP 2022, pages 1030–1042, Abu Dhabi, United Arab Emirates. Association for Computational Linguistics. https://aclanthology.org/2022.findings-emnlp.73/