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2020 – today
- 2024
[c26]Siyin Wang, Shimin Li, Tianxiang Sun, Jinlan Fu, Qinyuan Cheng, Jiasheng Ye, Junjie Ye
, Xipeng Qiu, Xuanjing Huang:
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation. ACL (Findings) 2024: 6632-6646- [c25]Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu:
GPTScore: Evaluate as You Desire. NAACL-HLT 2024: 6556-6576 - [i28]Chaochao Lu, Chen Qian, Guodong Zheng, Hongxing Fan, Hongzhi Gao, Jie Zhang, Jing Shao, Jingyi Deng, Jinlan Fu, Kexin Huang, Kunchang Li, Lijun Li, Limin Wang, Lu Sheng, Meiqi Chen, Ming Zhang, Qibing Ren, Sirui Chen, Tao Gui, Wanli Ouyang, Yali Wang, Yan Teng, Yaru Wang, Yi Wang, Yinan He, Yingchun Wang, Yixu Wang, Yongting Zhang, Yu Qiao, Yujiong Shen, Yurong Mou, Yuxi Chen, Zaibin Zhang, Zhelun Shi, Zhenfei Yin, Zhipin Wang:
From GPT-4 to Gemini and Beyond: Assessing the Landscape of MLLMs on Generalizability, Trustworthiness and Causality through Four Modalities. CoRR abs/2401.15071 (2024) - [i27]Siyin Wang, Shimin Li, Tianxiang Sun, Jinlan Fu, Qinyuan Cheng, Jiasheng Ye, Junjie Ye, Xipeng Qiu, Xuanjing Huang:
LLM can Achieve Self-Regulation via Hyperparameter Aware Generation. CoRR abs/2402.11251 (2024) - [i26]Jinlan Fu, Shenzhen Huangfu, Hang Yan, See-Kiong Ng, Xipeng Qiu:
Hint-before-Solving Prompting: Guiding LLMs to Effectively Utilize Encoded Knowledge. CoRR abs/2402.14310 (2024) - [i25]Lin Xu, Qixian Zhou, Jinlan Fu, See-Kiong Ng:
CET2: Modelling Topic Transitions for Coherent and Engaging Knowledge-Grounded Conversations. CoRR abs/2403.01848 (2024) - [i24]Lin Xu, Ningxin Peng, Daquan Zhou, See-Kiong Ng, Jinlan Fu:
Chain of Thought Explanation for Dialogue State Tracking. CoRR abs/2403.04656 (2024) - [i23]Yongting Zhang, Lu Chen, Guodong Zheng, Yifeng Gao, Rui Zheng, Jinlan Fu, Zhenfei Yin, Senjie Jin, Yu Qiao, Xuanjing Huang, Feng Zhao, Tao Gui, Jing Shao:
SPA-VL: A Comprehensive Safety Preference Alignment Dataset for Vision Language Model. CoRR abs/2406.12030 (2024) - [i22]Siyin Wang, Xingsong Ye, Qinyuan Cheng, Junwen Duan, Shimin Li, Jinlan Fu, Xipeng Qiu, Xuanjing Huang:
Cross-Modality Safety Alignment. CoRR abs/2406.15279 (2024) - [i21]Anhao Zhao, Fanghua Ye, Jinlan Fu, Xiaoyu Shen:
Unveiling In-Context Learning: A Coordinate System to Understand Its Working Mechanism. CoRR abs/2407.17011 (2024) - 2023
- [j3]Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig:
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. ACM Comput. Surv. 55(9): 195:1-195:35 (2023) - [j2]Lin Xu, Qixian Zhou, Jinlan Fu, See-Kiong Ng:
CET2: Modelling Topic Transitions for Coherent and Engaging Knowledge-Grounded Conversations. IEEE ACM Trans. Audio Speech Lang. Process. 31: 3527-3536 (2023) - [i20]Jinlan Fu, See-Kiong Ng, Zhengbao Jiang, Pengfei Liu:
GPTScore: Evaluate as You Desire. CoRR abs/2302.04166 (2023) - [i19]Mingtao Yang, See-Kiong Ng, Jinlan Fu:
OmniDialog: An Omnipotent Pre-training Model for Task-Oriented Dialogue System. CoRR abs/2312.16864 (2023) - [i18]Yang Xiao, Yi Cheng, Jinlan Fu, Jiashuo Wang, Wenjie Li, Pengfei Liu:
How Far Are We from Believable AI Agents? A Framework for Evaluating the Believability of Human Behavior Simulation. CoRR abs/2312.17115 (2023) - 2022
- [c24]Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu:
DataLab: A Platform for Data Analysis and Intervention. ACL (demo) 2022: 182-195 - [c23]Lin Xu, Qixian Zhou, Jinlan Fu, Min-Yen Kan, See-Kiong Ng:
CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations. COLING 2022: 471-484 - [c22]Jinlan Fu, See-Kiong Ng, Pengfei Liu:
Polyglot Prompt: Multilingual Multitask Prompt Training. EMNLP 2022: 9919-9935 - [c21]Yang Xiao, Jinlan Fu, See-Kiong Ng, Pengfei Liu:
Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification. NAACL-HLT 2022: 2930-2941 - [i17]Yang Xiao, Jinlan Fu, Weizhe Yuan, Vijay Viswanathan, Zhoumianze Liu, Yixin Liu, Graham Neubig, Pengfei Liu:
DataLab: A Platform for Data Analysis and Intervention. CoRR abs/2202.12875 (2022) - [i16]Jinlan Fu, See-Kiong Ng, Pengfei Liu:
Polyglot Prompt: Multilingual Multitask PrompTraining. CoRR abs/2204.14264 (2022) - [i15]Yang Xiao, Jinlan Fu, See-Kiong Ng, Pengfei Liu:
Are All the Datasets in Benchmark Necessary? A Pilot Study of Dataset Evaluation for Text Classification. CoRR abs/2205.02129 (2022) - [i14]Lin Xu, Qixian Zhou, Jinlan Fu, Min-Yen Kan, See-Kiong Ng:
CorefDiffs: Co-referential and Differential Knowledge Flow in Document Grounded Conversations. CoRR abs/2210.02223 (2022) - 2021
- [c20]Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig:
ExplainaBoard: An Explainable Leaderboard for NLP. ACL (demo) 2021: 280-289 - [c19]Xiao Wang, Qin Liu, Tao Gui, Qi Zhang, Yicheng Zou, Xin Zhou, Jiacheng Ye, Yongxin Zhang, Rui Zheng, Zexiong Pang, Qinzhuo Wu, Zhengyan Li, Chong Zhang, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xingwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Shan Qin, Bolin Zhu, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, Xuanjing Huang:
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing. ACL (demo) 2021: 347-355 - [c18]Jinlan Fu, Xuanjing Huang, Pengfei Liu:
SpanNER: Named Entity Re-/Recognition as Span Prediction. ACL/IJCNLP (1) 2021: 7183-7195 - [c17]Zihuiwen Ye, Pengfei Liu, Jinlan Fu, Graham Neubig:
Towards More Fine-grained and Reliable NLP Performance Prediction. EACL 2021: 3703-3714 - [c16]Zhiheng Yan, Chong Zhang, Jinlan Fu, Qi Zhang, Zhongyu Wei:
A Partition Filter Network for Joint Entity and Relation Extraction. EMNLP (1) 2021: 185-197 - [c15]Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Dan Garrette, Graham Neubig, Melvin Johnson:
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. EMNLP (1) 2021: 10215-10245 - [c14]Jinlan Fu, Liangjing Feng, Qi Zhang, Xuanjing Huang, Pengfei Liu:
Larger-Context Tagging: When and Why Does It Work? NAACL-HLT 2021: 1463-1475 - [i13]Zihuiwen Ye, Pengfei Liu, Jinlan Fu, Graham Neubig:
Towards More Fine-grained and Reliable NLP Performance Prediction. CoRR abs/2102.05486 (2021) - [i12]Tao Gui, Xiao Wang, Qi Zhang, Qin Liu, Yicheng Zou, Xin Zhou, Rui Zheng, Chong Zhang, Qinzhuo Wu, Jiacheng Ye, Zexiong Pang, Yongxin Zhang, Zhengyan Li, Ruotian Ma, Zichu Fei, Ruijian Cai, Jun Zhao, Xinwu Hu, Zhiheng Yan, Yiding Tan, Yuan Hu, Qiyuan Bian, Zhihua Liu, Bolin Zhu, Shan Qin, Xiaoyu Xing, Jinlan Fu, Yue Zhang, Minlong Peng, Xiaoqing Zheng, Yaqian Zhou, Zhongyu Wei, Xipeng Qiu, Xuanjing Huang:
TextFlint: Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing. CoRR abs/2103.11441 (2021) - [i11]Jinlan Fu, Liangjing Feng, Qi Zhang, Xuanjing Huang, Pengfei Liu:
Larger-Context Tagging: When and Why Does It Work? CoRR abs/2104.04434 (2021) - [i10]Pengfei Liu, Jinlan Fu, Yang Xiao, Weizhe Yuan, Shuaichen Chang, Junqi Dai, Yixin Liu, Zihuiwen Ye, Graham Neubig:
EXPLAINABOARD: An Explainable Leaderboard for NLP. CoRR abs/2104.06387 (2021) - [i9]Sebastian Ruder, Noah Constant, Jan A. Botha, Aditya Siddhant, Orhan Firat, Jinlan Fu, Pengfei Liu, Junjie Hu, Graham Neubig, Melvin Johnson:
XTREME-R: Towards More Challenging and Nuanced Multilingual Evaluation. CoRR abs/2104.07412 (2021) - [i8]Jinlan Fu, Xuanjing Huang, Pengfei Liu:
SpanNER: Named Entity Re-/Recognition as Span Prediction. CoRR abs/2106.00641 (2021) - [i7]Pengfei Liu, Weizhe Yuan, Jinlan Fu, Zhengbao Jiang, Hiroaki Hayashi, Graham Neubig:
Pre-train, Prompt, and Predict: A Systematic Survey of Prompting Methods in Natural Language Processing. CoRR abs/2107.13586 (2021) - [i6]Zhiheng Yan, Chong Zhang, Jinlan Fu, Qi Zhang, Zhongyu Wei:
A Partition Filter Network for Joint Entity and Relation Extraction. CoRR abs/2108.12202 (2021) - 2020
- [c13]Jinlan Fu, Pengfei Liu, Qi Zhang:
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study. AAAI 2020: 7732-7739 - [c12]Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang:
RethinkCWS: Is Chinese Word Segmentation a Solved Task? EMNLP (1) 2020: 5676-5686 - [c11]Jinlan Fu, Pengfei Liu, Graham Neubig:
Interpretable Multi-dataset Evaluation for Named Entity Recognition. EMNLP (1) 2020: 6058-6069 - [c10]Qinzhuo Wu, Qi Zhang, Jinlan Fu, Xuanjing Huang:
A Knowledge-Aware Sequence-to-Tree Network for Math Word Problem Solving. EMNLP (1) 2020: 7137-7146 - [c9]Jinlan Fu, Yi Li, Qi Zhang, Qinzhuo Wu, Renfeng Ma, Xuanjing Huang, Yu-Gang Jiang:
Recurrent Memory Reasoning Network for Expert Finding in Community Question Answering. WSDM 2020: 187-195 - [i5]Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang:
Rethinking Generalization of Neural Models: A Named Entity Recognition Case Study. CoRR abs/2001.03844 (2020) - [i4]Jinlan Fu, Pengfei Liu, Graham Neubig:
Interpretable Multi-dataset Evaluation for Named Entity Recognition. CoRR abs/2011.06854 (2020) - [i3]Jinlan Fu, Pengfei Liu, Qi Zhang, Xuanjing Huang:
RethinkCWS: Is Chinese Word Segmentation a Solved Task? CoRR abs/2011.06858 (2020)
2010 – 2019
- 2019
- [j1]Jinlan Fu, Qi Zhang, Jifan Chen, Minlong Peng, Tao Gui, Xipeng Qiu, Xuanjing Huang:
Implicit discourse relation detection using concatenated word embeddings and a gated relevance network. Sci. China Inf. Sci. 62(11): 219102:1-219102:3 (2019) - [c8]Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu, Xuanjing Huang:
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning. ACL (1) 2019: 2409-2419 - [c7]Minlong Peng, Jun Zhao, Qi Zhang, Tao Gui, Xuanjing Huang, Jinlan Fu:
Mining User Profiles from Query Log. CCIR 2019: 3-15 - [c6]Tao Gui, Yicheng Zou, Qi Zhang, Minlong Peng, Jinlan Fu, Zhongyu Wei, Xuanjing Huang:
A Lexicon-Based Graph Neural Network for Chinese NER. EMNLP/IJCNLP (1) 2019: 1040-1050 - [c5]Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Jinlan Fu, Xuanjing Huang:
Learning Task-Specific Representation for Novel Words in Sequence Labeling. IJCAI 2019: 5146-5152 - [c4]Minlong Peng, Qiyuan Bian, Qi Zhang, Tao Gui, Jinlan Fu, Lanjun Zeng, Xuanjing Huang:
Model the Long-Term Post History for Hashtag Recommendation. NLPCC (1) 2019: 596-608 - [c3]Di Liang, Fubao Zhang, Weidong Zhang, Qi Zhang, Jinlan Fu, Minlong Peng, Tao Gui, Xuanjing Huang:
Adaptive Multi-Attention Network Incorporating Answer Information for Duplicate Question Detection. SIGIR 2019: 95-104 - [i2]Minlong Peng, Qi Zhang, Xiaoyu Xing, Tao Gui, Jinlan Fu, Xuanjing Huang:
Learning Task-specific Representation for Novel Words in Sequence Labeling. CoRR abs/1905.12277 (2019) - [i1]Minlong Peng, Xiaoyu Xing, Qi Zhang, Jinlan Fu, Xuanjing Huang:
Distantly Supervised Named Entity Recognition using Positive-Unlabeled Learning. CoRR abs/1906.01378 (2019) - 2018
- [c2]Qi Zhang, Jinlan Fu, Xiaoyu Liu, Xuanjing Huang:
Adaptive Co-attention Network for Named Entity Recognition in Tweets. AAAI 2018: 5674-5681 - [c1]Qi Zhang, Xiaoyu Liu, Jinlan Fu:
Neural Networks Incorporating Dictionaries for Chinese Word Segmentation. AAAI 2018: 5682-5689
Coauthor Index
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