Guanting Dong

According to our database, Guanting Dong authored at least 37 papers between 2018 and 2024.

Collaborative distances:

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

2024

Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task.

Jinxu Zhao, Guanting Dong, Yueyan Qiu, Tingfeng Hui, Xiaoshuai Song, Daichi Guo, Weiran Xu

CoRR, 2024

PreAct: Predicting Future in ReAct Enhances Agent's Planning Ability.

Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie Wang, Keqing He, Weiran Xu

CoRR, 2024

Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models.

Pei Wang, Yejie Wang, Muxi Diao, Keqing He, Guanting Dong, Weiran Xu

CoRR, 2024

DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning.

Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu

CoRR, 2024

Knowledge Editing on Black-box Large Language Models.

Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu

CoRR, 2024

2023

OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models.

Mingfeng Xue, Dayiheng Liu, Kexin Yang, Guanting Dong, Wenqiang Lei, Zheng Yuan, Chang Zhou, Jingren Zhou

CoRR, 2023

Type-aware Decoding via Explicitly Aggregating Event Information for Document-level Event Extraction.

Gang Zhao, Yidong Shi, Shudong Lu, Xinjie Yang, Guanting Dong, Jian Xu, Xiaocheng Gong, Si Li

CoRR, 2023

ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models.

Haoran Luo, Haihong E, Zichen Tang, Shiyao Peng, Yikai Guo, Wentai Zhang, Chenghao Ma, Guanting Dong, Meina Song, Wei Lin

CoRR, 2023

Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization.

Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou

CoRR, 2023

How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition.

Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou

CoRR, 2023

Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations.

Jiachi Liu, Liwen Wang, Guanting Dong, Xiaoshuai Song, Zechen Wang, Zhengyang Wang, Shanglin Lei, Jinzheng Zhao, Keqing He, Bo Xiao, Weiran Xu

CoRR, 2023

InstructERC: Reforming Emotion Recognition in Conversation with a Retrieval Multi-task LLMs Framework.

Shanglin Lei, Guanting Dong, Xiaoping Wang, Keheng Wang, Sirui Wang

CoRR, 2023

Scaling Relationship on Learning Mathematical Reasoning with Large Language Models.

Zheng Yuan, Hongyi Yuan, Chengpeng Li, Guanting Dong, Chuanqi Tan, Chang Zhou

CoRR, 2023

Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations.

Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu

CoRR, 2023

Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task.

Guanting Dong, Jinxu Zhao, Tingfeng Hui, Daichi Guo, Wenlong Wang, Boqi Feng, Yueyan Qiu, Zhuoma Gongque, Keqing He, Zechen Wang, Weiran Xu

Proceedings of the Natural Language Processing and Chinese Computing, 2023

Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement.

Shanglin Lei, Xiaoping Wang, Guanting Dong, Jiang Li, Yingjian Liu

Proceedings of the 35th IEEE International Conference on Tools with Artificial Intelligence, 2023

Improving Few-Shot Performance of DST Model Through Multitask to Better Serve Language-Impaired People.

Mingyang Sun, QiXiang Gao, Yutao Mou, Guanting Dong, Ruifang Liu, Wenbin Guo

Proceedings of the IEEE International Conference on Acoustics, 2023

Revisit Out-Of-Vocabulary Problem For Slot Filling: A Unified Contrastive Framework With Multi-Level Data Augmentations.

Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu

Proceedings of the IEEE International Conference on Acoustics, 2023

A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition.

Guanting Dong, Zechen Wang, Liwen Wang, Daichi Guo, Dayuan Fu, Yuxiang Wu, Chen Zeng, Xuefeng Li, Tingfeng Hui, Keqing He, Xinyue Cui, QiXiang Gao, Weiran Xu

Proceedings of the IEEE International Conference on Acoustics, 2023

DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction.

Gang Zhao, Xiaocheng Gong, Xinjie Yang, Guanting Dong, Shudong Lu, Si Li

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

Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking.

Yuxiang Wu, Guanting Dong, Weiran Xu

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

Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT.

Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu

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

DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task.

Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu

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

A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER.

Guanting Dong, Zechen Wang, Jinxu Zhao, Gang Zhao, Daichi Guo, Dayuan Fu, Tingfeng Hui, Chen Zeng, Keqing He, Xuefeng Li, Liwen Wang, Xinyue Cui, Weiran Xu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA.

Guanting Dong, Rumei Li, Sirui Wang, Yupeng Zhang, Yunsen Xian, Weiran Xu

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

Pay Attention to Implicit Attribute Values: A Multi-modal Generative Framework for AVE Task.

Yupeng Zhang, Shensi Wang, Peiguang Li, Guanting Dong, Sirui Wang, Yunsen Xian, Zhoujun Li, Hongzhi Zhang

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

Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting.

Xuefeng Li, Liwen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu

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

2022

Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems.

Weihao Zeng, Keqing He, Zechen Wang, Dayuan Fu, Guanting Dong, Ruotong Geng, Pei Wang, Jingang Wang, Chaobo Sun, Wei Wu, Weiran Xu

CoRR, 2022

RPPformer-Flow: Relative Position Guided Point Transformer for Scene Flow Estimation.

Hanlin Li, Guanting Dong, Yueyi Zhang, Xiaoyan Sun, Zhiwei Xiong

Proceedings of the MM '22: The 30th ACM International Conference on Multimedia, Lisboa, Portugal, October 10, 2022

A Robust Contrastive Alignment Method for Multi-Domain Text Classification.

Xuefeng Li, Hao Lei, Liwen Wang, Guanting Dong, Jinzheng Zhao, Jiachi Liu, Weiran Xu, Chunyun Zhang

Proceedings of the IEEE International Conference on Acoustics, 2022

Entity-level Interaction via Heterogeneous Graph for Multimodal Named Entity Recognition.

Gang Zhao, Guanting Dong, Yidong Shi, Haolong Yan, Weiran Xu, Si Li

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

Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking.

QiXiang Gao, Guanting Dong, Yutao Mou, Liwen Wang, Chen Zeng, Daichi Guo, Mingyang Sun, Weiran Xu

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

Exploiting Rigidity Constraints for LiDAR Scene Flow Estimation.

Guanting Dong, Yueyi Zhang, Hanlin Li, Xiaoyan Sun, Zhiwei Xiong

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling.

Guanting Dong, Daichi Guo, Liwen Wang, Xuefeng Li, Zechen Wang, Chen Zeng, Keqing He, Jinzheng Zhao, Hao Lei, Xinyue Cui, Yi Huang, Junlan Feng, Weiran Xu

Proceedings of the 29th International Conference on Computational Linguistics, 2022

2020

Spatial Hierarchy Aware Residual Pyramid Network for Time-of-Flight Depth Denoising.

Guanting Dong, Yueyi Zhang, Zhiwei Xiong

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

AIM 2019 Challenge on Bokeh Effect Synthesis: Methods and Results.

Andrey Ignatov, Praveen Kandula, Maitreya Suin, A. N. Rajagopalan, Zhiwei Xiong, Jie Huang, Guanting Dong, Mingde Yao, Dong Liu, Wenjin Yang, Ming Hong, Wenying Lin, Jagruti Patel, Yanyun Qu, Jae-Seok Choi, Woonsung Park, Munchurl Kim, Rui Liu, Xiangyu Mao, Chengxi Yang, Qiong Yan, Wenxiu Sun, Junkai Fang, Radu Timofte, Meimei Shang, Fei Gao, Sujoy Ghosh, Prasen Kumar Sharma, Arijit Sur, Bolun Zheng, Xin Ye, Li Huang, Xiang Tian, Saikat Dutta, Kuldeep Purohit

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Method for Detecting Micron Cracks on a Magnetic Rotor Surface Based on a Support Vector Machine.

Haodi Hu, Guanting Dong, Bo Peng, Jian Xing, Wenlong Song

IEEE Access, 2018