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2020 – today
- 2024
- [c30]Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou:
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition. ACL (1) 2024: 177-198 - [c29]Haoran Luo, Haihong E, Zichen Tang, Shiyao Peng, Yikai Guo, Wentai Zhang, Chenghao Ma, Guanting Dong, Meina Song, Wei Lin, Yifan Zhu, Anh Tuan Luu:
ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models. ACL (Findings) 2024: 2039-2056 - [c28]Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Weiran Xu, Jingang Wang, Mengdi Zhang, Xunliang Cai:
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. ACL (1) 2024: 4706-4721 - [c27]Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou:
MuggleMath: Assessing the Impact of Query and Response Augmentation on Math Reasoning. ACL (1) 2024: 10230-10258 - [c26]Guanting Dong, Yueyi Zhang, Xiaoyan Sun, Zhiwei Xiong:
Exploiting Dual-Correlation for Multi-frame Time-of-Flight Denoising. ECCV (22) 2024: 473-489 - [c25]Jinxu Zhao, Guanting Dong, Yueyan Qiu, Tingfeng Hui, Xiaoshuai Song, Daichi Guo, Weiran Xu:
Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-Training for Noisy Slot Filling Task. ICASSP 2024: 6150-6154 - [c24]Gang Zhao, Yidong Shi, Shudong Lu, Xinjie Yang, Guanting Dong, Jian Xu, Xiaocheng Gong, Si Li:
Type-Aware Decoding Via Explicitly Aggregating Event Information for Document-Level Event Extraction. ICASSP 2024: 11061-11065 - [c23]Hanlin Li, Yueyi Zhang, Guanting Dong, Shida Sun, Zhiwei Xiong:
Joint Flow Estimation from Point Clouds and Event Streams. ICME 2024: 1-6 - [c22]Ge Bai, Chenji Lu, Daichi Guo, Shilong Li, Ying Liu, Zhang Zhang, Guanting Dong, Ruifang Liu, Yong Sun:
Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning. NAACL (Short Papers) 2024: 70-78 - [i33]Xiaoshuai Song, Zhengyang Wang, Keqing He, Guanting Dong, Yutao Mou, Jinxu Zhao, Weiran Xu:
Knowledge Editing on Black-box Large Language Models. CoRR abs/2402.08631 (2024) - [i32]Yejie Wang, Keqing He, Guanting Dong, Pei Wang, Weihao Zeng, Muxi Diao, Yutao Mou, Mengdi Zhang, Jingang Wang, Xunliang Cai, Weiran Xu:
DolphCoder: Echo-Locating Code Large Language Models with Diverse and Multi-Objective Instruction Tuning. CoRR abs/2402.09136 (2024) - [i31]Pei Wang, Yejie Wang, Muxi Diao, Keqing He, Guanting Dong, Weiran Xu:
Multi-Perspective Consistency Enhances Confidence Estimation in Large Language Models. CoRR abs/2402.11279 (2024) - [i30]Dayuan Fu, Jianzhao Huang, Siyuan Lu, Guanting Dong, Yejie Wang, Keqing He, Weiran Xu:
PreAct: Predicting Future in ReAct Enhances Agent's Planning Ability. CoRR abs/2402.11534 (2024) - [i29]Jinxu Zhao, Guanting Dong, Yueyan Qiu, Tingfeng Hui, Xiaoshuai Song, Daichi Guo, Weiran Xu:
Noise-BERT: A Unified Perturbation-Robust Framework with Noise Alignment Pre-training for Noisy Slot Filling Task. CoRR abs/2402.14494 (2024) - [i28]Xiaoshuai Song, Muxi Diao, Guanting Dong, Zhengyang Wang, Yujia Fu, Runqi Qiao, Zhexu Wang, Dayuan Fu, Huangxuan Wu, Bin Liang, Weihao Zeng, Yejie Wang, Zhuoma Gongque, Jianing Yu, Qiuna Tan, Weiran Xu:
CS-Bench: A Comprehensive Benchmark for Large Language Models towards Computer Science Mastery. CoRR abs/2406.08587 (2024) - [i27]Guanting Dong, Keming Lu, Chengpeng Li, Tingyu Xia, Bowen Yu, Chang Zhou, Jingren Zhou:
Self-play with Execution Feedback: Improving Instruction-following Capabilities of Large Language Models. CoRR abs/2406.13542 (2024) - [i26]Guanting Dong, Yutao Zhu, Chenghao Zhang, Zechen Wang, Zhicheng Dou, Ji-Rong Wen:
Understand What LLM Needs: Dual Preference Alignment for Retrieval-Augmented Generation. CoRR abs/2406.18676 (2024) - [i25]Runqi Qiao, Qiuna Tan, Guanting Dong, Minhui Wu, Chong Sun, Xiaoshuai Song, Zhuoma Gongque, Shanglin Lei, Zhe Wei, Miaoxuan Zhang, Runfeng Qiao, Yifan Zhang, Xiao Zong, Yida Xu, Muxi Diao, Zhimin Bao, Chen Li, Honggang Zhang:
We-Math: Does Your Large Multimodal Model Achieve Human-like Mathematical Reasoning? CoRR abs/2407.01284 (2024) - [i24]Chengpeng Li, Guanting Dong, Mingfeng Xue, Ru Peng, Xiang Wang, Dayiheng Liu:
DotaMath: Decomposition of Thought with Code Assistance and Self-correction for Mathematical Reasoning. CoRR abs/2407.04078 (2024) - [i23]An Yang, Baosong Yang, Binyuan Hui, Bo Zheng, Bowen Yu, Chang Zhou, Chengpeng Li, Chengyuan Li, Dayiheng Liu, Fei Huang, Guanting Dong, Haoran Wei, Huan Lin, Jialong Tang, Jialin Wang, Jian Yang, Jianhong Tu, Jianwei Zhang, Jianxin Ma, Jianxin Yang, Jin Xu, Jingren Zhou, Jinze Bai, Jinzheng He, Junyang Lin, Kai Dang, Keming Lu, Keqin Chen, Kexin Yang, Mei Li, Mingfeng Xue, Na Ni, Pei Zhang, Peng Wang, Ru Peng, Rui Men, Ruize Gao, Runji Lin, Shijie Wang, Shuai Bai, Sinan Tan, Tianhang Zhu, Tianhao Li, Tianyu Liu, Wenbin Ge, Xiaodong Deng, Xiaohuan Zhou, Xingzhang Ren, Xinyu Zhang, Xipin Wei, Xuancheng Ren, Xuejing Liu, Yang Fan, Yang Yao, Yichang Zhang, Yu Wan, Yunfei Chu, Yuqiong Liu, Zeyu Cui, Zhenru Zhang, Zhifang Guo, Zhihao Fan:
Qwen2 Technical Report. CoRR abs/2407.10671 (2024) - [i22]Yejie Wang, Keqing He, Dayuan Fu, Zhuoma Gongque, Heyang Xu, Yanxu Chen, Zhexu Wang, Yujia Fu, Guanting Dong, Muxi Diao, Jingang Wang, Mengdi Zhang, Xunliang Cai, Weiran Xu:
How Do Your Code LLMs Perform? Empowering Code Instruction Tuning with High-Quality Data. CoRR abs/2409.03810 (2024) - 2023
- [c21]Xuefeng Li, Liwen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu:
Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. ACL (Findings) 2023: 825-834 - [c20]Yupeng Zhang, Shensi Wang, Peiguang Li, Guanting Dong, Sirui Wang, Yunsen Xian, Zhoujun Li, Hongzhi Zhang:
Pay Attention to Implicit Attribute Values: A Multi-modal Generative Framework for AVE Task. ACL (Findings) 2023: 13139-13151 - [c19]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:
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. CIKM 2023: 430-440 - [c18]Guanting Dong, Rumei Li, Sirui Wang, Yupeng Zhang, Yunsen Xian, Weiran Xu:
Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA. CIKM 2023: 3854-3859 - [c17]Gang Zhao, Xiaocheng Gong, Xinjie Yang, Guanting Dong, Shudong Lu, Si Li:
DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction. EMNLP (Findings) 2023: 1805-1816 - [c16]Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. EMNLP 2023: 10291-10304 - [c15]Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu:
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task. EMNLP (Findings) 2023: 10506-10518 - [c14]Yuxiang Wu, Guanting Dong, Weiran Xu:
Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking. EMNLP (Findings) 2023: 11093-11099 - [c13]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:
A Prototypical Semantic Decoupling Method via Joint Contrastive Learning for Few-Shot Named Entity Recognition. ICASSP 2023: 1-5 - [c12]Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu:
Revisit Out-Of-Vocabulary Problem For Slot Filling: A Unified Contrastive Framework With Multi-Level Data Augmentations. ICASSP 2023: 1-5 - [c11]Mingyang Sun, QiXiang Gao, Yutao Mou, Guanting Dong, Ruifang Liu, Wenbin Guo:
Improving Few-Shot Performance of DST Model Through Multitask to Better Serve Language-Impaired People. ICASSP Workshops 2023: 1-5 - [c10]Shanglin Lei, Xiaoping Wang, Guanting Dong, Jiang Li, Yingjian Liu:
Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement. ICTAI 2023: 881-888 - [c9]Guanting Dong, Jinxu Zhao, Tingfeng Hui, Daichi Guo, Wenlong Wang, Boqi Feng, Yueyan Qiu, Zhuoma Gongque, Keqing He, Zechen Wang, Weiran Xu:
Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task. NLPCC (1) 2023: 682-694 - [i21]Daichi Guo, Guanting Dong, Dayuan Fu, Yuxiang Wu, Chen Zeng, Tingfeng Hui, Liwen Wang, Xuefeng Li, Zechen Wang, Keqing He, Xinyue Cui, Weiran Xu:
Revisit Out-Of-Vocabulary Problem for Slot Filling: A Unified Contrastive Frameword with Multi-level Data Augmentations. CoRR abs/2302.13584 (2023) - [i20]Xuefeng Li, Liwen Wang, Guanting Dong, Keqing He, Jinzheng Zhao, Hao Lei, Jiachi Liu, Weiran Xu:
Generative Zero-Shot Prompt Learning for Cross-Domain Slot Filling with Inverse Prompting. CoRR abs/2307.02830 (2023) - [i19]Zheng Yuan, Hongyi Yuan, Chengpeng Li, Guanting Dong, Chuanqi Tan, Chang Zhou:
Scaling Relationship on Learning Mathematical Reasoning with Large Language Models. CoRR abs/2308.01825 (2023) - [i18]Guanting Dong, Rumei Li, Sirui Wang, Yupeng Zhang, Yunsen Xian, Weiran Xu:
Bridging the KB-Text Gap: Leveraging Structured Knowledge-aware Pre-training for KBQA. CoRR abs/2308.14436 (2023) - [i17]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:
A Multi-Task Semantic Decomposition Framework with Task-specific Pre-training for Few-Shot NER. CoRR abs/2308.14533 (2023) - [i16]Shanglin Lei, Xiaoping Wang, Guanting Dong, Jiang Li, Yingjian Liu:
Watch the Speakers: A Hybrid Continuous Attribution Network for Emotion Recognition in Conversation With Emotion Disentanglement. CoRR abs/2309.09799 (2023) - [i15]Shanglin Lei, Guanting Dong, Xiaoping Wang, Keheng Wang, Sirui Wang:
InstructERC: Reforming Emotion Recognition in Conversation with a Retrieval Multi-task LLMs Framework. CoRR abs/2309.11911 (2023) - [i14]Jiachi Liu, Liwen Wang, Guanting Dong, Xiaoshuai Song, Zechen Wang, Zhengyang Wang, Shanglin Lei, Jinzheng Zhao, Keqing He, Bo Xiao, Weiran Xu:
Towards Robust and Generalizable Training: An Empirical Study of Noisy Slot Filling for Input Perturbations. CoRR abs/2310.03518 (2023) - [i13]Guanting Dong, Hongyi Yuan, Keming Lu, Chengpeng Li, Mingfeng Xue, Dayiheng Liu, Wei Wang, Zheng Yuan, Chang Zhou, Jingren Zhou:
How Abilities in Large Language Models are Affected by Supervised Fine-tuning Data Composition. CoRR abs/2310.05492 (2023) - [i12]Chengpeng Li, Zheng Yuan, Hongyi Yuan, Guanting Dong, Keming Lu, Jiancan Wu, Chuanqi Tan, Xiang Wang, Chang Zhou:
Query and Response Augmentation Cannot Help Out-of-domain Math Reasoning Generalization. CoRR abs/2310.05506 (2023) - [i11]Guanting Dong, Jinxu Zhao, Tingfeng Hui, Daichi Guo, Wenlong Wang, Boqi Feng, Yueyan Qiu, Zhuoma Gongque, Keqing He, Zechen Wang, Weiran Xu:
Revisit Input Perturbation Problems for LLMs: A Unified Robustness Evaluation Framework for Noisy Slot Filling Task. CoRR abs/2310.06504 (2023) - [i10]Haoran Luo, Haihong E, Zichen Tang, Shiyao Peng, Yikai Guo, Wentai Zhang, Chenghao Ma, Guanting Dong, Meina Song, Wei Lin:
ChatKBQA: A Generate-then-Retrieve Framework for Knowledge Base Question Answering with Fine-tuned Large Language Models. CoRR abs/2310.08975 (2023) - [i9]Guanting Dong, Tingfeng Hui, Zhuoma Gongque, Jinxu Zhao, Daichi Guo, Gang Zhao, Keqing He, Weiran Xu:
DemoNSF: A Multi-task Demonstration-based Generative Framework for Noisy Slot Filling Task. CoRR abs/2310.10169 (2023) - [i8]Xiaoshuai Song, Keqing He, Pei Wang, Guanting Dong, Yutao Mou, Jingang Wang, Yunsen Xian, Xunliang Cai, Weiran Xu:
Large Language Models Meet Open-World Intent Discovery and Recognition: An Evaluation of ChatGPT. CoRR abs/2310.10176 (2023) - [i7]Gang Zhao, Xiaocheng Gong, Xinjie Yang, Guanting Dong, Shudong Lu, Si Li:
DemoSG: Demonstration-enhanced Schema-guided Generation for Low-resource Event Extraction. CoRR abs/2310.10481 (2023) - [i6]Gang Zhao, Yidong Shi, Shudong Lu, Xinjie Yang, Guanting Dong, Jian Xu, Xiaocheng Gong, Si Li:
Type-aware Decoding via Explicitly Aggregating Event Information for Document-level Event Extraction. CoRR abs/2310.10487 (2023) - [i5]Yuxiang Wu, Guanting Dong, Weiran Xu:
Semantic Parsing by Large Language Models for Intricate Updating Strategies of Zero-Shot Dialogue State Tracking. CoRR abs/2310.10520 (2023) - [i4]Mingfeng Xue, Dayiheng Liu, Kexin Yang, Guanting Dong, Wenqiang Lei, Zheng Yuan, Chang Zhou, Jingren Zhou:
OccuQuest: Mitigating Occupational Bias for Inclusive Large Language Models. CoRR abs/2310.16517 (2023) - 2022
- [c8]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:
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. COLING 2022: 5327-5334 - [c7]Guanting Dong, Yueyi Zhang, Hanlin Li, Xiaoyan Sun, Zhiwei Xiong:
Exploiting Rigidity Constraints for LiDAR Scene Flow Estimation. CVPR 2022: 12766-12775 - [c6]QiXiang Gao, Guanting Dong, Yutao Mou, Liwen Wang, Chen Zeng, Daichi Guo, Mingyang Sun, Weiran Xu:
Exploiting domain-slot related keywords description for Few-Shot Cross-Domain Dialogue State Tracking. EMNLP 2022: 2460-2465 - [c5]Gang Zhao, Guanting Dong, Yidong Shi, Haolong Yan, Weiran Xu, Si Li:
Entity-level Interaction via Heterogeneous Graph for Multimodal Named Entity Recognition. EMNLP (Findings) 2022: 6345-6350 - [c4]Xuefeng Li, Hao Lei, Liwen Wang, Guanting Dong, Jinzheng Zhao, Jiachi Liu, Weiran Xu, Chunyun Zhang:
A Robust Contrastive Alignment Method for Multi-Domain Text Classification. ICASSP 2022: 7827-7831 - [c3]Hanlin Li, Guanting Dong, Yueyi Zhang, Xiaoyan Sun, Zhiwei Xiong:
RPPformer-Flow: Relative Position Guided Point Transformer for Scene Flow Estimation. ACM Multimedia 2022: 4867-4876 - [i3]Xuefeng Li, Hao Lei, Liwen Wang, Guanting Dong, Jinzheng Zhao, Jiachi Liu, Weiran Xu, Chunyun Zhang:
A Robust Contrastive Alignment Method For Multi-Domain Text Classification. CoRR abs/2204.12125 (2022) - [i2]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:
PSSAT: A Perturbed Semantic Structure Awareness Transferring Method for Perturbation-Robust Slot Filling. CoRR abs/2208.11508 (2022) - [i1]Weihao Zeng, Keqing He, Zechen Wang, Dayuan Fu, Guanting Dong, Ruotong Geng, Pei Wang, Jingang Wang, Chaobo Sun, Wei Wu, Weiran Xu:
Semi-Supervised Knowledge-Grounded Pre-training for Task-Oriented Dialog Systems. CoRR abs/2210.08873 (2022) - 2020
- [c2]Guanting Dong, Yueyi Zhang, Zhiwei Xiong:
Spatial Hierarchy Aware Residual Pyramid Network for Time-of-Flight Depth Denoising. ECCV (24) 2020: 35-50
2010 – 2019
- 2019
- [c1]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:
AIM 2019 Challenge on Bokeh Effect Synthesis: Methods and Results. ICCV Workshops 2019: 3591-3598 - 2018
- [j1]Haodi Hu, Guanting Dong, Bo Peng, Jian Xing, Wenlong Song:
Method for Detecting Micron Cracks on a Magnetic Rotor Surface Based on a Support Vector Machine. IEEE Access 6: 53141-53152 (2018)
Coauthor Index
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