Shizhe Diao

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 53

Top Topics

Forward And Backward

Preference Learning

Top Venues

Publications

Cheng Niu, Yang Guan, Yuanhao Wu, Juno Zhu, Juntong Song, Randy Zhong, Kaihua Zhu, Siliang Xu, Shizhe Diao, Tong Zhang
VeraCT Scan: Retrieval-Augmented Fake News Detection with Justifiable Reasoning. CoRR (2024)
Rui Pan, Xiang Liu, Shizhe Diao, Renjie Pi, Jipeng Zhang, Chi Han, Tong Zhang
LISA: Layerwise Importance Sampling for Memory-Efficient Large Language Model Fine-Tuning. CoRR (2024)
Shizhe Diao, Pengcheng Wang, Yong Lin, Rui Pan, Xiang Liu, Tong Zhang
Active Prompting with Chain-of-Thought for Large Language Models. ACL (1) (2024)
Rui Pan, Shuo Xing, Shizhe Diao, Wenhe Sun, Xiang Liu, Kashun Shum, Jipeng Zhang, Renjie Pi, Tong Zhang
Plum: Prompt Learning using Metaheuristics. ACL (Findings) (2024)
Quyet V. Do, Tianqing Fang, Shizhe Diao, Zhaowei Wang, Yangqiu Song
ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases. CoRR (2024)
Tianyang Han, Qing Lian, Rui Pan, Renjie Pi, Jipeng Zhang, Shizhe Diao, Yong Lin, Tong Zhang
The Instinctive Bias: Spurious Images lead to Hallucination in MLLMs. CoRR (2024)
Haoxiang Wang, Yong Lin, Wei Xiong, Rui Yang, Shizhe Diao, Shuang Qiu, Han Zhao, Tong Zhang
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards. ACL (1) (2024)
Quyet V. Do, Tianqing Fang, Shizhe Diao, Zhaowei Wang, Yangqiu Song
ConstraintChecker: A Plugin for Large Language Models to Reason on Commonsense Knowledge Bases. EACL (1) (2024)
Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang
R-Tuning: Instructing Large Language Models to Say 'I Don't Know'. NAACL-HLT (2024)
Ruida Wang, Jipeng Zhang, Yizhen Jia, Rui Pan, Shizhe Diao, Renjie Pi, Tong Zhang
TheoremLlama: Transforming General-Purpose LLMs into Lean4 Experts. CoRR (2024)
Tianyang Xu, Shujin Wu, Shizhe Diao, Xiaoze Liu, Xingyao Wang, Yangyi Chen, Jing Gao
SaySelf: Teaching LLMs to Express Confidence with Self-Reflective Rationales. CoRR (2024)
Dylan Zhang, Shizhe Diao, Xueyan Zou, Hao Peng
PLUM: Preference Learning Plus Test Cases Yields Better Code Language Models. CoRR (2024)
Xin Xu, Shizhe Diao, Can Yang, Yang Wang
Can We Verify Step by Step for Incorrect Answer Detection? CoRR (2024)
Haoxiang Wang, Yong Lin, Wei Xiong, Rui Yang, Shizhe Diao, Shuang Qiu, Han Zhao, Tong Zhang
Arithmetic Control of LLMs for Diverse User Preferences: Directional Preference Alignment with Multi-Objective Rewards. CoRR (2024)
Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. WWW (2024)
Shizhe Diao, Tianyang Xu, Ruijia Xu, Jiawei Wang, Tong Zhang
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models Memories. CoRR (2023)
Renjie Pi, Jiahui Gao, Shizhe Diao, Rui Pan, Hanze Dong, Jipeng Zhang, Lewei Yao, Jianhua Han, Hang Xu, Lingpeng Kong, Tong Zhang
DetGPT: Detect What You Need via Reasoning. CoRR (2023)
Shizhe Diao, Zhichao Huang, Ruijia Xu, Xuechun Li, Yong Lin, Xiao Zhou, Tong Zhang
Black-Box Prompt Learning for Pre-trained Language Models. Trans. Mach. Learn. Res. 2023 (2023)
Shizhe Diao, Yongyu Lei, Liangming Pan, Tianqing Fang, Wangchunshu Zhou, Sedrick Scott Keh, Min-Yen Kan, Tong Zhang
Doolittle: Benchmarks and Corpora for Academic Writing Formalization. EMNLP (2023)
Zhihong Chen, Shizhe Diao, Benyou Wang, Guanbin Li, Xiang Wan
Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts. ICCV (2023)
Renjie Pi, Jiahui Gao, Shizhe Diao, Rui Pan, Hanze Dong, Jipeng Zhang, Lewei Yao, Jianhua Han, Hang Xu, Lingpeng Kong, Tong Zhang
DetGPT: Detect What You Need via Reasoning. EMNLP (2023)
Yong Lin, Lu Tan, Hangyu Lin, Zeming Zheng, Renjie Pi, Jipeng Zhang, Shizhe Diao, Haoxiang Wang, Han Zhao, Yuan Yao, Tong Zhang
Speciality vs Generality: An Empirical Study on Catastrophic Forgetting in Fine-tuning Foundation Models. CoRR (2023)
Hanning Zhang, Shizhe Diao, Yong Lin, Yi R. Fung, Qing Lian, Xingyao Wang, Yangyi Chen, Heng Ji, Tong Zhang
R-Tuning: Teaching Large Language Models to Refuse Unknown Questions. CoRR (2023)
Zhihong Chen, Guiming Hardy Chen, Shizhe Diao, Xiang Wan, Benyou Wang
On the Difference of BERT-style and CLIP-style Text Encoders. CoRR (2023)
Kashun Shum, Shizhe Diao, Tong Zhang
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data. EMNLP (Findings) (2023)
Zhihong Chen, Guiming Chen, Shizhe Diao, Xiang Wan, Benyou Wang
On the Difference of BERT-style and CLIP-style Text Encoders. ACL (Findings) (2023)
Zhihong Chen, Shizhe Diao, Benyou Wang, Guanbin Li, Xiang Wan
Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts. CoRR (2023)
Shizhe Diao, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song, Tong Zhang
Hashtag-Guided Low-Resource Tweet Classification. WWW (2023)
Shizhe Diao, Pengcheng Wang, Yong Lin, Tong Zhang
Active Prompting with Chain-of-Thought for Large Language Models. CoRR (2023)
Shizhe Diao, Sedrick Scott Keh, Liangming Pan, Zhiliang Tian, Yan Song, Tong Zhang
Hashtag-Guided Low-Resource Tweet Classification. CoRR (2023)
Shizhe Diao, Rui Pan, Hanze Dong, Kashun Shum, Jipeng Zhang, Wei Xiong, Tong Zhang
LMFlow: An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. CoRR (2023)
Ziqiang Zheng, Jipeng Zhang, Tuan-Anh Vu, Shizhe Diao, Yue Him Wong Tim, Sai-Kit Yeung
MarineGPT: Unlocking Secrets of Ocean to the Public. CoRR (2023)
Kashun Shum, Shizhe Diao, Tong Zhang
Automatic Prompt Augmentation and Selection with Chain-of-Thought from Labeled Data. CoRR (2023)
Hanze Dong, Wei Xiong, Deepanshu Goyal, Yihan Zhang, Winnie Chow, Rui Pan, Shizhe Diao, Jipeng Zhang, Kashun Shum, Tong Zhang
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment. Trans. Mach. Learn. Res. 2023 (2023)
Shizhe Diao, Wangchunshu Zhou, Xinsong Zhang, Jiawei Wang
Write and Paint: Generative Vision-Language Models are Unified Modal Learners. ICLR (2023)
Rui Pan, Shuo Xing, Shizhe Diao, Xiang Liu, Kashun Shum, Jipeng Zhang, Tong Zhang
Plum: Prompt Learning using Metaheuristic. CoRR (2023)
Xu Liu, Junfeng Hu, Yuan Li, Shizhe Diao, Yuxuan Liang, Bryan Hooi, Roger Zimmermann
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series Forecasting. CoRR (2023)
Hanze Dong, Wei Xiong, Deepanshu Goyal, Rui Pan, Shizhe Diao, Jipeng Zhang, Kashun Shum, Tong Zhang
RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment. CoRR (2023)
Shizhe Diao, Tianyang Xu, Ruijia Xu, Jiawei Wang, Tong Zhang
Mixture-of-Domain-Adapters: Decoupling and Injecting Domain Knowledge to Pre-trained Language Models' Memories. ACL (1) (2023)
Wangchunshu Zhou, Yan Zeng, Shizhe Diao, Xinsong Zhang
VLUE: A Multi-Task Multi-Dimension Benchmark for Evaluating Vision-Language Pre-training. ICML (2022)
Rui Pan, Shizhe Diao, Jianlin Chen, Tong Zhang
ExtremeBERT: A Toolkit for Accelerating Pretraining of Customized BERT. CoRR (2022)
Shizhe Diao, Wangchunshu Zhou, Xinsong Zhang, Jiawei Wang
Prefix Language Models are Unified Modal Learners. CoRR (2022)
Wangchunshu Zhou, Yan Zeng, Shizhe Diao, Xinsong Zhang
VLUE: A Multi-Task Benchmark for Evaluating Vision-Language Models. CoRR (2022)
Hanze Dong, Shizhe Diao, Weizhong Zhang, Tong Zhang
Normalizing Flow with Variational Latent Representation. CoRR (2022)
Shizhe Diao, Xuechun Li, Yong Lin, Zhichao Huang, Tong Zhang
Black-box Prompt Learning for Pre-trained Language Models. CoRR (2022)
Xiao Zhou, Weizhong Zhang, Zonghao Chen, Shizhe Diao, Tong Zhang
Efficient Neural Network Training via Forward and Backward Propagation Sparsification. CoRR (2021)
Shizhe Diao, Xinwei Shen, Kashun Shum, Yan Song, Tong Zhang
TILGAN: Transformer-based Implicit Latent GAN for Diverse and Coherent Text Generation. ACL/IJCNLP (Findings) (2021)
Shizhe Diao, Ruijia Xu, Hongjin Su, Yilei Jiang, Yan Song, Tong Zhang
Taming Pre-trained Language Models with N-gram Representations for Low-Resource Domain Adaptation. ACL/IJCNLP (1) (2021)
Xiao Zhou, Weizhong Zhang, Zonghao Chen, Shizhe Diao, Tong Zhang
Efficient Neural Network Training via Forward and Backward Propagation Sparsification. NeurIPS (2021)
Shizhe Diao, Jiaxin Bai, Yan Song, Tong Zhang, Yonggang Wang
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations. EMNLP (Findings) (2020)
Shizhe Diao, Yan Song, Tong Zhang
Keyphrase Generation with Cross-Document Attention. CoRR (2020)
Shizhe Diao, Jiaxin Bai, Yan Song, Tong Zhang, Yonggang Wang
ZEN: Pre-training Chinese Text Encoder Enhanced by N-gram Representations. CoRR (2019)
Yunchuan Sun, Mengting Fang, Xinyu Wang, Shizhe Diao
GubaLex: Guba-Oriented Sentiment Lexicon for Big Texts in Finance. SKG (2017)