Yong Dai

According to our database, Yong Dai authored at least 42 papers between 2013 and 2025.

Collaborative distances:

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

2025

Web-CogReasoner: Towards Knowledge-Induced Cognitive Reasoning for Web Agents.

Yuhan Guo, Cong Guo, Aiwen Sun, Hongliang He, Xinyu Yang, Yue Lu, Yingji Zhang, Xuntao Guo, Dong Zhang, Jianzhuang Liu, Jiang Duan, Yijia Xiao, Liangjian Wen, Hai-Ming Xu, Yong Dai

CoRR, August, 2025

Beyond Distillation: Pushing the Limits of Medical LLM Reasoning with Minimalist Rule-Based RL.

Che Liu, Haozhe Wang, Jiazhen Pan, Zhongwei Wan, Yong Dai, Fangzhen Lin, Wenjia Bai, Daniel Rueckert, Rossella Arcucci

CoRR, May, 2025

Nexus-O: An Omni-Perceptive And -Interactive Model for Language, Audio, And Vision.

Che Liu, Yingji Zhang, Dong Zhang, Weijie Zhang, Chenggong Gong, Haohan Li, Yu Lu, Shilin Zhou, Yue Lu, Ziliang Gan, Ziao Wang, Junwei Liao, Haipang Wu, Ji Liu, André Freitas, Qifan Wang, Zenglin Xu, Rongjunchen Zhang, Yong Dai

CoRR, March, 2025

ConceptPsy: A comprehensive benchmark suite for hierarchical psychological concept understanding in LLMs.

Junlei Zhang, Hongliang He, Lizhi Ma, Nirui Song, Shuyuan He, Shuai Zhang, Huachuan Qiu, Zhanchao Zhou, Anqi Li, Yong Dai, Renjun Xu, Zhenzhong Lan

Neurocomputing, 2025

2024

MME-Finance: A Multimodal Finance Benchmark for Expert-level Understanding and Reasoning.

Ziliang Gan, Yu Lu, Dong Zhang, Haohan Li, Che Liu, Jian Liu, Ji Liu, Haipang Wu, Chaoyou Fu, Zenglin Xu, Rongjunchen Zhang, Yong Dai

CoRR, 2024

TimeCNN: Refining Cross-Variable Interaction on Time Point for Time Series Forecasting.

Ao Hu, Dongkai Wang, Yong Dai, Shiyi Qi, Liangjian Wen, Jun Wang, Zhi Chen, Xun Zhou, Zenglin Xu, Jiang Duan

CoRR, 2024

IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation.

Fan Lin, Shuyi Xie, Yong Dai, Wenlin Yao, Tianjiao Lang, Zishan Xu, Zhichao Hu, Xiao Xiao, Yuhong Liu, Yu Zhang

CoRR, 2024

Self-playing Adversarial Language Game Enhances LLM Reasoning.

Pengyu Cheng, Tianhao Hu, Han Xu, Zhisong Zhang, Yong Dai, Lei Han, Nan Du

CoRR, 2024

Look Before You Leap: Towards Decision-Aware and Generalizable Tool-Usage for Large Language Models.

Anchun Gui, Jian Li, Yong Dai, Nan Du, Han Xiao

CoRR, 2024

Enhancing Zero-shot Counting via Language-guided Exemplar Learning.

Mingjie Wang, Jun Zhou, Yong Dai, Eric Buys, Minglun Gong

CoRR, 2024

IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation.

Fan Lin, Shuyi Xie, Yong Dai, Wenlin Yao, Tianjiao Lang, Yu Zhang

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

Self-playing Adversarial Language Game Enhances LLM Reasoning.

Pengyu Cheng, Tianhao Hu, Han Xu, Zhisong Zhang, Yong Dai, Lei Han, Nan Du, Xiaolong Li

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

SkillNet-X: A Multilingual Multitask Model with Sparsely Activated Skills.

Zhangyin Feng, Yong Dai, Fan Zhang, Duyu Tang, Xiaocheng Feng, Shuangzhi Wu, Bing Qin, Yunbo Cao, Shuming Shi

Proceedings of the IEEE International Conference on Acoustics, 2024

On Diversified Preferences of Large Language Model Alignment.

Dun Zeng, Yong Dai, Pengyu Cheng, Longyue Wang, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2024, 2024

Chunk, Align, Select: A Simple Long-sequence Processing Method for Transformers.

Jiawen Xie, Pengyu Cheng, Xiao Liang, Yong Dai, Nan Du

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

WebVoyager: Building an End-to-End Web Agent with Large Multimodal Models.

Hongliang He, Wenlin Yao, Kaixin Ma, Wenhao Yu, Yong Dai, Hongming Zhang, Zhenzhong Lan, Dong Yu

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

Adversarial Preference Optimization: Enhancing Your Alignment via RM-LLM Game.

Pengyu Cheng, Yifan Yang, Jian Li, Yong Dai, Tianhao Hu, Peixin Cao, Nan Du, Xiaolong Li

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

Emage: Non-Autoregressive Text-to-Image Generation.

Zhangyin Feng, Runyi Hu, Liangxin Liu, Fan Zhang, Duyu Tang, Yong Dai, Xiaocheng Feng, Jiwei Li, Bing Qin, Shuming Shi

CoRR, 2023

On Diversified Preferences of Large Language Model Alignment.

Dun Zeng, Yong Dai, Pengyu Cheng, Tianhao Hu, Wanshun Chen, Nan Du, Zenglin Xu

CoRR, 2023

TencentLLMEval: A Hierarchical Evaluation of Real-World Capabilities for Human-Aligned LLMs.

Shuyi Xie, Wenlin Yao, Yong Dai, Shaobo Wang, Donlin Zhou, Lifeng Jin, Xinhua Feng, Pengzhi Wei, Yujie Lin, Zhichao Hu, Dong Yu, Zhengyou Zhang, Jing Nie, Yuhong Liu

CoRR, 2023

Everyone Deserves A Reward: Learning Customized Human Preferences.

Pengyu Cheng, Jiawen Xie, Ke Bai, Yong Dai, Nan Du

CoRR, 2023

Dynamic Mixture of Counter Network for Location-Agnostic Crowd Counting.

Mingjie Wang, Hao Cai, Yong Dai, Minglun Gong

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

MarkBERT: Marking Word Boundaries Improves Chinese BERT.

Linyang Li, Yong Dai, Duyu Tang, Xipeng Qiu, Zelin Xu, Shuming Shi

Proceedings of the Natural Language Processing and Chinese Computing, 2023

FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models.

Zhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu, Zenglin Xu

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

2022

Graph Fusion Network for Text Classification.

Yong Dai, Linjun Shou, Ming Gong, Xiaolin Xia, Zhao Kang, Zenglin Xu, Daxin Jiang

Knowl. Based Syst., 2022

When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods.

Zhuo Zhang, Yuanhang Yang, Yong Dai, Lizhen Qu, Zenglin Xu

CoRR, 2022

Pretrained Language Encoders are Natural Tagging Frameworks for Aspect Sentiment Triplet Extraction.

Yanjie Gou, Yinjie Lei, Lingqiao Liu, Yong Dai, Chunxu Shen, Yongqi Tong

CoRR, 2022

Effidit: Your AI Writing Assistant.

Shuming Shi, Enbo Zhao, Duyu Tang, Yan Wang, Piji Li, Wei Bi, Haiyun Jiang, Guoping Huang, Leyang Cui, Xinting Huang, Cong Zhou, Yong Dai, Dongyang Ma

CoRR, 2022

One Model, Multiple Modalities: A Sparsely Activated Approach for Text, Sound, Image, Video and Code.

Yong Dai, Duyu Tang, Liangxin Liu, Minghuan Tan, Cong Zhou, Jingquan Wang, Zhangyin Feng, Fan Zhang, Xueyu Hu, Shuming Shi

CoRR, 2022

Pretraining Chinese BERT for Detecting Word Insertion and Deletion Errors.

Cong Zhou, Yong Dai, Duyu Tang, Enbo Zhao, Zhangyin Feng, Li Kuang, Shuming Shi

CoRR, 2022

MarkBERT: Marking Word Boundaries Improves Chinese BERT.

Linyang Li, Yong Dai, Duyu Tang, Xipeng Qiu, Zenglin Xu, Shuming Shi

CoRR, 2022

One Model, Multiple Tasks: Pathways for Natural Language Understanding.

Duyu Tang, Fan Zhang, Yong Dai, Cong Zhou, Shuangzhi Wu, Shuming Shi

CoRR, 2022

Leveraging Only the Category Name for Aspect Detection through Prompt-based Constrained Clustering.

Yazheng Li, Pengyun Wang, Yasheng Wang, Yong Dai, Yadao Wang, Lujia Pan, Zenglin Xu

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

Exploring and Adapting Chinese GPT to Pinyin Input Method.

Minghuan Tan, Yong Dai, Duyu Tang, Zhangyin Feng, Guoping Huang, Jing Jiang, Jiwei Li, Shuming Shi

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

"Is Whole Word Masking Always Better for Chinese BERT?": Probing on Chinese Grammatical Error Correction.

Yong Dai, Linyang Li, Cong Zhou, Zhangyin Feng, Enbo Zhao, Xipeng Qiu, Piji Li, Duyu Tang

Proceedings of the Findings of the Association for Computational Linguistics: ACL 2022, 2022

2021

Unsupervised Sentiment Analysis by Transferring Multi-source Knowledge.

Yong Dai, Jian Liu, Jian Zhang, Hongguang Fu, Zenglin Xu

Cogn. Comput., 2021

Creating and Evaluating Resources for Sentiment Analysis in the Low-resource Language: Sindhi.

Wazir Ali, Naveed Ali, Yong Dai, Jay Kumar, Saifullah Tumrani, Zenglin Xu

Proceedings of the Eleventh Workshop on Computational Approaches to Subjectivity, 2021

Neural Joint Model for Part-of-Speech Tagging and Entity Extraction.

Wazir Ali, Rajesh Kumar, Yong Dai, Jay Kumar, Saifullah Tumrani

Proceedings of the ICMLC 2021: 13th International Conference on Machine Learning and Computing, 2021

Contextualize Knowledge Bases with Transformer for End-to-end Task-Oriented Dialogue Systems.

Yanjie Gou, Yinjie Lei, Lingqiao Liu, Yong Dai, Chunxu Shen

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Adversarial Training Based Multi-Source Unsupervised Domain Adaptation for Sentiment Analysis.

Yong Dai, Jian Liu, Xiancong Ren, Zenglin Xu

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

A Two-Stage Multi-task Learning-Based Method for Selective Unsupervised Domain Adaptation.

Yong Dai, Jian Zhang, Shuai Yuan, Zenglin Xu

Proceedings of the 2019 International Conference on Data Mining Workshops, 2019

2013

Remote Sensing Images Super-resolution Based on Sparse Dictionaries and Residual Dictionaries.

Yingying Zhang, Wei Wu, Yong Dai, Xiaomin Yang, Binyu Yan, Wei Lu

Proceedings of the IEEE 11th International Conference on Dependable, 2013