Yuwei Zhang

According to our database, Yuwei Zhang authored at least 14 papers between 2021 and 2025.

Collaborative distances:

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

2025

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

CoRR, May, 2025

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

Yuwei Zhang, Jayanth Srinivasa, Gaowen Liu, Jingbo Shang

CoRR, March, 2025

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

CoRR, March, 2025

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

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Speculative RAG: Enhancing Retrieval Augmented Generation through Drafting.

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

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2024

Controllable Data Augmentation for Few-Shot Text Mining with Chain-of-Thought Attribute Manipulation.

Letian Peng, Yuwei Zhang, Jingbo Shang

Proceedings of the Findings of the Association for Computational Linguistics, 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

Proceedings of the 62nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2024

2023

Generating Efficient Training Data via LLM-based Attribute Manipulation.

Letian Peng, Yuwei Zhang, Jingbo Shang

CoRR, 2023

Toward Unsupervised Realistic Visual Question Answering.

Yuwei Zhang, Chih-Hui Ho, Nuno Vasconcelos

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

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

Yuwei Zhang, Zihan Wang, Jingbo Shang

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

2022

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

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

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2022

New Intent Discovery with Pre-training and Contrastive Learning.

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

Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2022

2021

KuraNet: Systems of Coupled Oscillators that Learn to Synchronize.

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

CoRR, 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

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2021, 2021