Shizhe Diao

According to our database, Shizhe Diao authored at least 34 papers between 2017 and 2024.

Collaborative distances:

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

2024

LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning.

Rui Pan, Xiang Liu, Shizhe Diao, Renjie Pi, Jipeng Zhang, Chi Han, Tong Zhang

CoRR, 2024

Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards.

Haoxiang Wang, Yong Lin, Wei Xiong, Rui Yang, Shizhe Diao, Shuang Qiu, Han Zhao, Tong Zhang

CoRR, 2024

Can We Verify Step by Step for Incorrect Answer Detection?

Xin Xu, Shizhe Diao, Can Yang, Yang Wang

CoRR, 2024

The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs.

Tianyang Han, Qing Lian, Rui Pan, Renjie Pi, Jipeng Zhang, Shizhe Diao, Yong Lin, Tong Zhang

CoRR, 2024

ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases.

Quyet V. Do, Tianqing Fang, Shizhe Diao, Zhaowei Wang, Yangqiu Song

Proceedings of the 18th Conference of the European Chapter of the Association for Computational Linguistics, 2024

2023

Black-Box Prompt Learning for Pre-trained Language Models.

Shizhe Diao, Zhichao Huang, Ruijia Xu, Xuechun Li, Yong Lin, Xiao Zhou, Tong Zhang

Trans. Mach. Learn. Res., 2023

R-Tuning: Teaching Large Language Models to Refuse Unknown Questions.

Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang

CoRR, 2023

Plum: Prompt Learning using Metaheuristic.

Rui Pan, Shuo Xing, Shizhe Diao, Xiang Liu, Kashun Shum, Jipeng Zhang, Tong Zhang

CoRR, 2023

MarineGPT: Unlocking Secrets of Ocean to the Public.

Ziqiang Zheng, Jipeng Zhang, Tuan-Anh Vu, Shizhe Diao, Yue Him Wong Tim, Sai-Kit Yeung

CoRR, 2023

UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting.

Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann

CoRR, 2023

Speciality vs Generality: An Empirical Study on Catastrophic Forgetting in Fine-tuning Foundation Models.

Yong Lin, Lu Tan, Hangyu Lin, Zeming Zheng, Renjie Pi, Jipeng Zhang, Shizhe Diao, Haoxiang Wang, Han Zhao, Yuan Yao, Tong Zhang

CoRR, 2023

LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models.

Shizhe Diao, Rui Pan, Hanze Dong, Kashun Shum, Jipeng Zhang, Wei Xiong, Tong Zhang

CoRR, 2023

On the Difference of BERT-style and CLIP-style Text Encoders.

Zhihong Chen, Guiming Hardy Chen, Shizhe Diao, Xiang Wan, Benyou Wang

CoRR, 2023

RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment.

Hanze Dong, Wei Xiong, Deepanshu Goyal, Rui Pan, Shizhe Diao, Jipeng Zhang, Kashun Shum, Tong Zhang

CoRR, 2023

Active Prompting with Chain-of-Thought for Large Language Models.

Shizhe Diao, Pengcheng Wang, Yong Lin, Tong Zhang

CoRR, 2023

Hashtag-Guided Low-Resource Tweet Classification.

Shizhe Diao, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song, Tong Zhang

Proceedings of the ACM Web Conference 2023, 2023

Write and Paint: Generative Vision-Language Models are Unified Modal Learners.

Shizhe Diao, Wangchunshu Zhou, Xinsong Zhang, Jiawei Wang

Proceedings of the Eleventh International Conference on Learning Representations, 2023

Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts.

Zhihong Chen, Shizhe Diao, Benyou Wang, Guanbin Li, Xiang Wan

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

Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data.

Kashun Shum, Shizhe Diao, Tong Zhang

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

DetGPT: Detect What You Need via Reasoning.

Renjie Pi, Jiahui Gao, Shizhe Diao, Rui Pan, Hanze Dong, Jipeng Zhang, Lewei Yao, Jianhua Han, Hang Xu, Lingpeng Kong, Tong Zhang

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

Doolittle: Benchmarks and Corpora for Academic Writing Formalization.

Shizhe Diao, Yongyu Lei, Liangming Pan, Tianqing Fang, Wangchunshu Zhou, Sedrick Scott Keh, Min-Yen Kan, Tong Zhang

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

Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models' Memories.

Shizhe Diao, Tianyang Xu, Ruijia Xu, Jiawei Wang, Tong Zhang

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

On the Difference of BERT-style and CLIP-style Text Encoders.

Zhihong Chen, Guiming Chen, Shizhe Diao, Xiang Wan, Benyou Wang

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

2022

ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT.

Rui Pan, Shizhe Diao, Jianlin Chen, Tong Zhang

CoRR, 2022

Normalizing Flow with Variational Latent Representation.

Hanze Dong, Shizhe Diao, Weizhong Zhang, Tong Zhang

CoRR, 2022

Prefix Language Models are Unified Modal Learners.

Shizhe Diao, Wangchunshu Zhou, Xinsong Zhang, Jiawei Wang

CoRR, 2022

VLUE: A Multi-Task Benchmark for Evaluating Vision-Language Models.

Wangchunshu Zhou, Yan Zeng, Shizhe Diao, Xinsong Zhang

CoRR, 2022

Black-box Prompt Learning for Pre-trained Language Models.

Shizhe Diao, Xuechun Li, Yong Lin, Zhichao Huang, Tong Zhang

CoRR, 2022

VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training.

Wangchunshu Zhou, Yan Zeng, Shizhe Diao, Xinsong Zhang

Proceedings of the International Conference on Machine Learning, 2022

2021

Efficient Neural Network Training via Forward and Backward Propagation Sparsification.

Xiao Zhou, Weizhong Zhang, Zonghao Chen, Shizhe Diao, Tong Zhang

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation.

Shizhe Diao, Ruijia Xu, Hongjin Su, Yilei Jiang, Yan Song, Tong Zhang

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021

TILGAN: Transformer-based Implicit Latent GAN for Diverse and Coherent Text Generation.

Shizhe Diao, Xinwei Shen, Kashun Shum, Yan Song, Tong Zhang

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

2020

ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations.

Shizhe Diao, Jiaxin Bai, Yan Song, Tong Zhang, Yonggang Wang

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2017

GubaLex: Guba-Oriented Sentiment Lexicon for Big Texts in Finance.

Yunchuan Sun, Mengting Fang, Xinyu Wang, Shizhe Diao

Proceedings of the 13th International Conference on Semantics, Knowledge and Grids, 2017