Publications

Thanks to all my amazing collaborators!

(* denotes equal contribution)

Preprints

• Bidirectional LMs are Better Knowledge Memorizers? A Benchmark for Real-world Knowledge Injection

  Yuwei Zhang, Wenhao Yu, Shangbin Feng, Yifan Zhu, Letian Peng, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang

• Attention Reveals More Than Tokens: Training-Free Long-Context Reasoning with Attention-guided Retrieval

  Yuwei Zhang, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang

• Toward Multi-Session Personalized Conversation: A Large-Scale Dataset and Hierarchical Tree Framework for Implicit Reasoning

  Xintong Li, Jalend Bantupalli, Ria Dharmani, Yuwei Zhang, Jingbo Shang

2025

• Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting

  Zilong Wang, Zifeng Wang, Long Le, Steven Zheng, Swaroop Mishra, Vincent Perot, Yuwei Zhang, Anush Mattapalli, Ankur Taly, Jingbo Shang, Chen-Yu Lee, Tomas Pfister

  ICLR 2025.

• LongMemEval: Benchmarking Chat Assistants on Long-Term Interactive Memory

  Di Wu, Hongwei Wang, Wenhao Yu, Yuwei Zhang, Kai-Wei Chang, Dong Yu

  ICLR 2025.

2024

• Answer is All You Need: Instruction-following Text Embedding via Answering the Question

  Letian Peng *, Yuwei Zhang *, Zilong Wang, Jayanth Srinivasa, Gaowen Liu, Zihan Wang, Jingbo Shang

  To Appear in The 62nd Annual Meeting of the Association for Computational Linguistics (ACL) (Long Paper), Bangkok, Thailand, August 2024.

  [paper] [code]

• Can your model tell a negation from an implicature? Unravelling challenges with intent encoders

  Yuwei Zhang, Siffi Singh, Sailik Sengupta, Igor Shalyminov, Hang Su, Hwanjun Song, Saab Mansour

  To Appear in The 62nd Annual Meeting of the Association for Computational Linguistics (ACL) (Long Paper), Bangkok, Thailand, August 2024.

  [paper] [code]

2023

• ClusterLLM: Large Language Models as a Guide for Text Clustering

  Yuwei Zhang, Zihan Wang, Jingbo Shang

  To Appear in The 2023 Conference on Empirical Methods in Natural Language Processing (EMNLP) (Long Paper), Singapore, December 2023.

  [paper] [code]

• Toward Unsupervised Realistic Visual Question Answering

  Yuwei Zhang *, Chih-Hui Ho *, Nuno Vasconcelos

  To Appear in Proceedings of 2023 International Conference on Computer Vision (ICCV), Paris, October 2023.

  [paper] [code]

2022

• Fine-tuning Pre-trained Language Models for Few-shot Intent Detection: Supervised Pretraining and Isotropization

  Haode Zhang, Haowen Liang, Yuwei Zhang, Liming Zhan, Xiao-Ming Wu, Xiaolei Lu, Albert Y.S. Lam

  To Appear in Proceedings of 2022 Annual Conference of the North American Chapter of the Association for Computational Linguistics (NAACL) (Long Paper), July 2022. (Oral Presentation)

  [paper] [code]

• New Intent Discovery with Pre-training and Contrastive Learning

  Yuwei Zhang, Haode Zhang, Li-Ming Zhan, Xiao-Ming Wu, Albert Y.S. Lam

  To Appear in Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (ACL) (Long Paper), May 2022

  [paper] [code]

• Development and validation of a screening model for lung cancer using machine learning: a large-scale, multi-center study of biomarkers in breath

  Jing Li *, Yuwei Zhang *, Qing Chen, Zhenhua Pan, Jun Chen, Meixiu Sun, Junfeng Wang, Yingxin Li, Qing Ye

  Frontiers in Oncology

  [paper]

• Automated Calculation of Liquid Crystal Sensing Images Based on Deep Learning

  Yuwei Zhang *, Shuai Xu *, Ronghua Zhang, Zhichao Deng, Yin Liu, Jianguo Tian, Li Yu, Qiongzheng Hu, Qing Ye

  Analytical Chemistry

  [paper]

• Research on assistant diagnosis of fundus optic neuropathy based on deep learning

  Chengjin Wang *, Yuwei Zhang *, Shuai Xu, Yuyan Liu, Lindan Xie, Changlong Wu, Qianhui Yang, Yanhua Chu, Qing Ye

  Current Eye Research

  [paper]

2021

• Effectiveness of Pre-training for Few-shot Intent Classification

  Haode Zhang *, Yuwei Zhang *, Li-Ming Zhan, Jiaxin Chen, Guangyuan Shi, Xiao-Ming Wu, Albert Y.S. Lam

  To Appear in Findings of the 2021 Conference on Empirical Methods in Natural Language Processing (EMNLP Findings) (Short Paper), November 2021.

  [paper] [code]

• KuraNet: Systems of Coupled Oscillators that Learn to Synchronize

  Matthew Ricci, Minju Jung, Yuwei Zhang, Mathieu Chalvidal, Aneri Soni, Thomas Serre.

  [paper] [code]