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Baobao Chang
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- affiliation: Peking University, Beijing, China
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2020 – today
- 2024
- [c125]Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang:
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain. ACL (Findings) 2024: 1086-1104 - [c124]Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, Nanyun Peng:
Improving Event Definition Following For Zero-Shot Event Detection. ACL (1) 2024: 2842-2863 - [c123]Shuzheng Si, Helan Hu, Haozhe Zhao, Shuang Zeng, Kaikai An, Zefan Cai, Baobao Chang:
Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning. ACL (Findings) 2024: 5533-5546 - [c122]Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang:
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning. ICLR 2024 - [i64]Rongyu Zhang, Zefan Cai, Huanrui Yang, Zidong Liu, Denis A. Gudovskiy, Tomoyuki Okuno, Yohei Nakata, Kurt Keutzer, Baobao Chang, Yuan Du, Li Du, Shanghang Zhang:
VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness. CoRR abs/2401.07853 (2024) - [i63]Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang:
PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain. CoRR abs/2402.15527 (2024) - [i62]Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, Nanyun Peng:
Improving Event Definition Following For Zero-Shot Event Detection. CoRR abs/2403.02586 (2024) - [i61]Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang:
An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models. CoRR abs/2403.06764 (2024) - [i60]Haozhe Zhao, Zefan Cai, Shuzheng Si, Liang Chen, Yufeng He, Kaikai An, Baobao Chang:
Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation. CoRR abs/2404.08491 (2024) - [i59]Zefan Cai, Yichi Zhang, Bofei Gao, Yuliang Liu, Tianyu Liu, Keming Lu, Wayne Xiong, Yue Dong, Baobao Chang, Junjie Hu, Wen Xiao:
PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling. CoRR abs/2406.02069 (2024) - [i58]Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu, Yukun Yan, Yun Chen, Baobao Chang, Zhiyuan Liu, Maosong Sun:
Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models. CoRR abs/2406.08903 (2024) - [i57]Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Junyang Lin, Chang Zhou, Wen Xiao, Junjie Hu, Tianyu Liu, Baobao Chang:
LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. CoRR abs/2406.14024 (2024) - [i56]Jinsheng Huang, Liang Chen, Taian Guo, Fu Zeng, Yusheng Zhao, Bohan Wu, Ye Yuan, Haozhe Zhao, Zhihui Guo, Yichi Zhang, Jingyang Yuan, Wei Ju, Luchen Liu, Tianyu Liu, Baobao Chang, Ming Zhang:
MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. CoRR abs/2407.00468 (2024) - [i55]Haozhe Zhao, Xiaojian Ma, Liang Chen, Shuzheng Si, Rujie Wu, Kaikai An, Peiyu Yu, Minjia Zhang, Qing Li, Baobao Chang:
UltraEdit: Instruction-based Fine-Grained Image Editing at Scale. CoRR abs/2407.05282 (2024) - 2023
- [j6]Xuefeng Su
, Ru Li
, Xiaoli Li
, Baobao Chang
, Zhiwei Hu
, Xiaoqi Han
, Zhichao Yan
:
A Span-based Target-aware Relation Model for Frame-semantic Parsing. ACM Trans. Asian Low Resour. Lang. Inf. Process. 22(3): 90:1-90:24 (2023) - [j5]Xudong Chen
, Ce Zheng
, Baobao Chang
, Ru Li
:
Local-to-Global Framework for Multi-target Frame Identification. World Sci. Annu. Rev. Artif. Intell. 1: 2350004:1-2350004:16 (2023) - [c121]Ce Zheng, Yiming Wang, Baobao Chang:
Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling. AAAI 2023: 14029-14037 - [c120]Shuzheng Si, Zefan Cai, Shuang Zeng, Guoqiang Feng, Jiaxing Lin, Baobao Chang:
SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition. ACL (Findings) 2023: 3883-3896 - [c119]Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang:
On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation. ACL (Findings) 2023: 9542-9558 - [c118]Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang:
Guiding AMR Parsing with Reverse Graph Linearization. EMNLP (Findings) 2023: 13-26 - [c117]Ce Zheng, Lei Li, Qingxiu Dong, Yuxuan Fan, Zhiyong Wu, Jingjing Xu, Baobao Chang:
Can We Edit Factual Knowledge by In-Context Learning? EMNLP 2023: 4862-4876 - [c116]Kaikai An, Ce Zheng, Bofei Gao, Haozhe Zhao, Baobao Chang:
Coarse-to-Fine Dual Encoders are Better Frame Identification Learners. EMNLP (Findings) 2023: 13455-13466 - [c115]Jiaxing Lin, Runxin Xu, Baobao Chang:
TABLEIE: Capturing the Interactions Among Sub-Tasks in Information Extraction via Double Tables. ICASSP 2023: 1-5 - [c114]Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang:
On the Pareto Front of Multilingual Neural Machine Translation. NeurIPS 2023 - [c113]Damai Dai, Jing Ren, Shuang Zeng, Baobao Chang, Zhifang Sui:
Coarse-to-Fine Entity Representations for Document-Level Relation Extraction. NLPCC (2) 2023: 185-197 - [c112]Damai Dai, Wenbin Jiang, Jiyuan Zhang, Yajuan Lyu, Zhifang Sui, Baobao Chang:
Mixture-of-Experts for Biomedical Question Answering. NLPCC (1) 2023: 604-615 - [i54]Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, Lei Li, Zhifang Sui:
A Survey for In-context Learning. CoRR abs/2301.00234 (2023) - [i53]Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang:
On the Pareto Front of Multilingual Neural Machine Translation. CoRR abs/2304.03216 (2023) - [i52]Shuzheng Si, Zefan Cai, Shuang Zeng, Guoqiang Feng, Jiaxing Lin, Baobao Chang:
SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition. CoRR abs/2305.04076 (2023) - [i51]Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang:
On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation. CoRR abs/2305.10930 (2023) - [i50]Yufeng He, Zefan Cai, Xu Gan, Baobao Chang:
DiffCap: Exploring Continuous Diffusion on Image Captioning. CoRR abs/2305.12144 (2023) - [i49]Ce Zheng, Lei Li, Qingxiu Dong, Yuxuan Fan, Zhiyong Wu, Jingjing Xu, Baobao Chang:
Can We Edit Factual Knowledge by In-Context Learning? CoRR abs/2305.12740 (2023) - [i48]Zefan Cai, Xin Zheng, Tianyu Liu, Xu Wang, Haoran Meng, Jiaqi Han, Gang Yuan, Binghuai Lin, Baobao Chang, Yunbo Cao:
DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade. CoRR abs/2305.14751 (2023) - [i47]Zefan Cai, Baobao Chang, Wenjuan Han:
Human-in-the-Loop through Chain-of-Thought. CoRR abs/2306.07932 (2023) - [i46]Shuzheng Si, Shuang Zeng, Baobao Chang:
Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting. CoRR abs/2307.00866 (2023) - [i45]Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang:
MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning. CoRR abs/2309.07915 (2023) - [i44]Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Tianyu Liu, Baobao Chang:
Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond. CoRR abs/2310.02071 (2023) - [i43]Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang:
Guiding AMR Parsing with Reverse Graph Linearization. CoRR abs/2310.08860 (2023) - [i42]Kaikai An, Ce Zheng, Bofei Gao, Haozhe Zhao, Baobao Chang:
Coarse-to-Fine Dual Encoders are Better Frame Identification Learners. CoRR abs/2310.13316 (2023) - [i41]Helan Hu, Shuzheng Si, Haozhe Zhao, Shuang Zeng, Kaikai An, Zefan Cai, Baobao Chang:
Distantly-Supervised Named Entity Recognition with Uncertainty-aware Teacher Learning and Student-student Collaborative Learning. CoRR abs/2311.08010 (2023) - [i40]Yuliang Liu, Xiangru Tang, Zefan Cai, Junjie Lu, Yichi Zhang, Yanjun Shao, Zexuan Deng, Helan Hu, Zengxian Yang, Kaikai An, Ruijun Huang, Shuzheng Si, Sheng Chen, Haozhe Zhao, Zhengliang Li, Liang Chen, Yiming Zong, Yan Wang, Tianyu Liu, Zhiwei Jiang, Baobao Chang, Yujia Qin, Wangchunshu Zhou, Yilun Zhao, Arman Cohan, Mark Gerstein:
ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks. CoRR abs/2311.09835 (2023) - 2022
- [c111]Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang:
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. AAAI 2022: 11547-11555 - [c110]Peiyi Wang, Liang Chen, Tianyu Liu, Damai Dai, Yunbo Cao, Baobao Chang, Zhifang Sui:
Hierarchical Curriculum Learning for AMR Parsing. ACL (2) 2022: 333-339 - [c109]Runxin Xu, Fuli Luo, Baobao Chang, Songfang Huang, Fei Huang:
S$^4$-Tuning: A Simple Cross-lingual Sub-network Tuning Method. ACL (2) 2022: 530-537 - [c108]Liang Chen, Runxin Xu, Baobao Chang:
Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation. ACL (2) 2022: 665-671 - [c107]Qingxiu Dong, Ziwei Qin, Heming Xia, Tian Feng, Shoujie Tong, Haoran Meng, Lin Xu, Zhongyu Wei, Weidong Zhan, Baobao Chang, Sujian Li, Tianyu Liu, Zhifang Sui:
Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues. ACL (1) 2022: 932-946 - [c106]Damai Dai, Li Dong, Shuming Ma, Bo Zheng, Zhifang Sui, Baobao Chang, Furu Wei:
StableMoE: Stable Routing Strategy for Mixture of Experts. ACL (1) 2022: 7085-7095 - [c105]Ningyu Zhang, Mosha Chen, Zhen Bi, Xiaozhuan Liang, Lei Li, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Buzhou Tang, Qingcai Chen:
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. ACL (1) 2022: 7888-7915 - [c104]Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Baobao Chang, Furu Wei:
Knowledge Neurons in Pretrained Transformers. ACL (1) 2022: 8493-8502 - [c103]Shuzheng Si, Shuang Zeng, Jiaxing Lin, Baobao Chang:
SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER. COLING 2022: 2313-2318 - [c102]Tianyang Cao, Shuang Zeng, Xiaodan Xu, Mairgup Mansur, Baobao Chang:
DISK: Domain-constrained Instance Sketch for Math Word Problem Generation. COLING 2022: 6327-6339 - [c101]Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui:
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. IJCAI 2022: 4397-4403 - [c100]Jing Ren, Tianyang Cao, Yifan Yang, Yunyan Zhang, Xi Chen, Tian Feng, Baobao Chang, Zhifang Sui, Ruihui Zhao, Yefeng Zheng, Bang Liu:
CLINER: Clinical Interrogation Named Entity Recognition. KSEM (2) 2022: 212-224 - [c99]Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang:
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. NAACL-HLT (Findings) 2022: 2482-2496 - [c98]Shuzheng Si, Shuang Zeng, Baobao Chang:
Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting. NAACL-HLT 2022: 4839-4847 - [c97]Ce Zheng
, Xudong Chen, Runxin Xu, Baobao Chang:
A Double-Graph Based Framework for Frame Semantic Parsing. NAACL-HLT 2022: 4998-5011 - [c96]Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou
, Yunbo Cao, Baobao Chang, Zhifang Sui:
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. NAACL-HLT 2022: 5012-5024 - [c95]Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui:
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. NAACL-HLT 2022: 5025-5036 - [c94]Damai Dai, Hua Zheng, Zhifang Sui, Baobao Chang:
Plug-and-Play Module for Commonsense Reasoning in Machine Reading Comprehension. NLPCC (2) 2022: 29-41 - [i39]Liang Chen, Runxin Xu, Baobao Chang:
Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation. CoRR abs/2203.02889 (2022) - [i38]Tianyang Cao, Shuang Zeng, Xiaodan Xu, Mairgup Mansur, Baobao Chang:
DISK: Domain-constrained Instance Sketch for Math Word Problem Generation. CoRR abs/2204.04686 (2022) - [i37]Damai Dai, Wenbin Jiang, Jiyuan Zhang, Weihua Peng, Yajuan Lyu, Zhifang Sui, Baobao Chang, Yong Zhu:
Mixture of Experts for Biomedical Question Answering. CoRR abs/2204.07469 (2022) - [i36]Damai Dai, Li Dong, Shuming Ma, Bo Zheng, Zhifang Sui, Baobao Chang, Furu Wei:
StableMoE: Stable Routing Strategy for Mixture of Experts. CoRR abs/2204.08396 (2022) - [i35]Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang:
ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. CoRR abs/2204.08875 (2022) - [i34]Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui:
A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. CoRR abs/2205.00241 (2022) - [i33]Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui:
Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. CoRR abs/2205.00633 (2022) - [i32]Ce Zheng, Xudong Chen, Runxin Xu, Baobao Chang:
A Double-Graph Based Framework for Frame Semantic Parsing. CoRR abs/2206.09158 (2022) - [i31]Shuzheng Si, Shuang Zeng, Jiaxing Lin, Baobao Chang:
SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER. CoRR abs/2209.01646 (2022) - [i30]Liang Chen, Bofei Gao, Baobao Chang:
A Two-Stage Method for Chinese AMR Parsing. CoRR abs/2209.14512 (2022) - [i29]Ce Zheng, Yiming Wang, Baobao Chang:
Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling. CoRR abs/2212.02036 (2022) - 2021
- [c93]Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. AAAI 2021: 13415-13423 - [c92]Shuang Zeng, Yuting Wu, Baobao Chang:
SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction. ACL/IJCNLP (Findings) 2021: 524-534 - [c91]Xudong Chen
, Ce Zheng
, Baobao Chang:
Joint Multi-Decoder Framework with Hierarchical Pointer Network for Frame Semantic Parsing. ACL/IJCNLP (Findings) 2021: 2570-2578 - [c90]Runxin Xu, Tianyu Liu, Lei Li, Baobao Chang:
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker. ACL/IJCNLP (1) 2021: 3533-3546 - [c89]Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui:
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. CIKM 2021: 1969-1978 - [c88]Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang:
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning. EMNLP (1) 2021: 9514-9528 - [c87]Tianyang Cao, Shuang Zeng, Songge Zhao, Mairgup Mansur, Baobao Chang:
Generating Math Word Problems from Equations with Topic Consistency Maintaining and Commonsense Enforcement. ICANN (3) 2021: 66-79 - [c86]Hua Zheng, Damai Dai, Lei Li, Tianyu Liu, Zhifang Sui, Baobao Chang, Yang Liu:
Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation. NAACL-HLT 2021: 5524-5531 - [c85]Damai Dai, Hua Zheng, Fuli Luo, Pengcheng Yang, Tianyu Liu, Zhifang Sui, Baobao Chang:
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. RepL4NLP@ACL-IJCNLP 2021: 83-89 - [i28]Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. CoRR abs/2102.08585 (2021) - [i27]Damai Dai, Hua Zheng, Zhifang Sui, Baobao Chang:
Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension. CoRR abs/2103.14443 (2021) - [i26]Qingxiu Dong, Zhifang Sui, Weidong Zhan, Baobao Chang:
Problems and Countermeasures in Natural Language Processing Evaluation. CoRR abs/2104.09712 (2021) - [i25]Runxin Xu, Tianyu Liu, Lei Li, Baobao Chang:
Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker. CoRR abs/2105.14924 (2021) - [i24]Shuang Zeng, Yuting Wu, Baobao Chang:
SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction. CoRR abs/2106.01709 (2021) - [i23]Ningyu Zhang, Zhen Bi, Xiaozhuan Liang, Lei Li, Xiang Chen, Shumin Deng, Luoqiu Li, Hongbin Ye, Xin Shang, Kangping Yin, Chuanqi Tan, Jian Xu, Mosha Chen, Fei Huang, Luo Si, Yuan Ni, Guotong Xie, Zhifang Sui, Baobao Chang, Hui Zong, Zheng Yuan, Linfeng Li, Jun Yan, Hongying Zan, Kunli Zhang, Huajun Chen, Buzhou Tang, Qingcai Chen:
CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. CoRR abs/2106.08087 (2021) - [i22]Peiyi Wang, Lianzhe Huang, Tianyu Liu, Damai Dai, Runxin Xu, Houfeng Wang, Baobao Chang, Zhifang Sui:
Explicit Interaction Network for Aspect Sentiment Triplet Extraction. CoRR abs/2106.11148 (2021) - [i21]Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui:
Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. CoRR abs/2108.12844 (2021) - [i20]Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang:
Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning. CoRR abs/2109.05687 (2021) - [i19]Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui:
An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. CoRR abs/2109.13023 (2021) - [i18]Peiyi Wang, Liang Chen, Tianyu Liu, Baobao Chang, Zhifang Sui:
Hierarchical Curriculum Learning for AMR Parsing. CoRR abs/2110.07855 (2021) - [i17]Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang:
From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. CoRR abs/2112.07198 (2021) - 2020
- [c84]Da Yin, Xiuyu Wu, Baobao Chang:
Interactive Neural Network: Leveraging Part-of-Speech Window for Aspect Term Extraction (Student Abstract). AAAI 2020: 13977-13978 - [c83]Kexiang Wang, Baobao Chang, Zhifang Sui:
Soap: Soaking Capacity Optimization for Multi-Document Summarization. CIKM 2020: 1525-1534 - [c82]Hongying Zan, Wenxin Li, Kunli Zhang, Yajuan Ye, Baobao Chang, Zhifang Sui:
Building a Pediatric Medical Corpus: Word Segmentation and Named Entity Annotation. CLSW 2020: 652-664 - [c81]Kexiang Wang, Tianyu Liu, Baobao Chang, Zhifang Sui:
An Anchor-Based Automatic Evaluation Metric for Document Summarization. COLING 2020: 5696-5701 - [c80]Tianyu Liu, Xin Zheng, Xiaoan Ding, Baobao Chang, Zhifang Sui:
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference. CoNLL 2020: 596-608 - [c79]Kexiang Wang, Baobao Chang, Zhifang Sui:
A Spectral Method for Unsupervised Multi-Document Summarization. EMNLP (1) 2020: 435-445 - [c78]Shuang Zeng, Runxin Xu, Baobao Chang, Lei Li:
Double Graph Based Reasoning for Document-level Relation Extraction. EMNLP (1) 2020: 1630-1640 - [c77]Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel:
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. EMNLP (1) 2020: 8189-8202 - [c76]Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. LREC 2020: 6852-6860 - [i16]Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui:
HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. CoRR abs/2003.02756 (2020) - [i15]Damai Dai, Hua Zheng, Fuli Luo, Pengcheng Yang, Baobao Chang, Zhifang Sui:
Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. CoRR abs/2009.12765 (2020) - [i14]Shuang Zeng, Runxin Xu, Baobao Chang, Lei Li:
Double Graph Based Reasoning for Document-level Relation Extraction. CoRR abs/2009.13752 (2020) - [i13]Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel:
Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. CoRR abs/2010.03760 (2020) - [i12]Tianyu Liu, Xin Zheng, Xiaoan Ding, Baobao Chang, Zhifang Sui:
An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference. CoRR abs/2010.03777 (2020) - [i11]Damai Dai, Jing Ren, Shuang Zeng, Baobao Chang, Zhifang Sui:
Coarse-to-Fine Entity Representations for Document-level Relation Extraction. CoRR abs/2012.02507 (2020) - [i10]Tianyang Cao, Shuang Zeng, Songge Zhao, Mairgup Mansur, Baobao Chang:
Generating Math Word Problems from Equations with Topic Controlling and Commonsense Enforcement. CoRR abs/2012.07379 (2020)
2010 – 2019
- 2019
- [c75]Tianyu Liu, Fuli Luo, Qiaolin Xia, Shuming Ma, Baobao Chang, Zhifang Sui:
Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables. AAAI 2019: 6786-6793 - [c74]Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan, Baobao Chang, Zhifang Sui, Xu Sun:
Towards Fine-grained Text Sentiment Transfer. ACL (1) 2019: 2013-2022 - [c73]Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang, Zhifang Sui:
Towards Comprehensive Description Generation from Factual Attribute-value Tables. ACL (1) 2019: 5985-5996 - [c72]Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui, Xu Sun:
Learning to Control the Fine-grained Sentiment for Story Ending Generation. ACL (1) 2019: 6020-6026 - [c71]Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui, Xu Sun:
Pun-GAN: Generative Adversarial Network for Pun Generation. EMNLP/IJCNLP (1) 2019: 3386-3391 - [c70]Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui:
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. IJCAI 2019: 5116-5122 - [c69]Da Yin, Xiao Liu, Xiuyu Wu, Baobao Chang:
A Soft Label Strategy for Target-Level Sentiment Classification. WASSA@NAACL-HLT 2019: 6-15 - [i9]Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Zhifang Sui, Xu Sun:
A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. CoRR abs/1905.10060 (2019) - [i8]Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui, Xu Sun:
Pun-GAN: Generative Adversarial Network for Pun Generation. CoRR abs/1910.10950 (2019) - 2018
- [c68]Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui:
Table-to-Text Generation by Structure-Aware Seq2seq Learning. AAAI 2018: 4881-4888 - [c67]Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui:
Order-Planning Neural Text Generation From Structured Data. AAAI 2018: 5414-5421 - [c66]Lei Sha, Xiaodong Zhang, Feng Qian, Baobao Chang, Zhifang Sui:
A Multi-View Fusion Neural Network for Answer Selection. AAAI 2018: 5422-5429 - [c65]Lei Sha, Feng Qian, Baobao Chang, Zhifang Sui:
Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction. AAAI 2018: 5916-5923 - [c64]Fuli Luo, Tianyu Liu, Qiaolin Xia, Baobao Chang, Zhifang Sui:
Incorporating Glosses into Neural Word Sense Disambiguation. ACL (1) 2018: 2473-2482 - [c63]Odmaa Byambasuren, Zhifang Sui, Baobao Chang:
A Research on Construction of Knowledge Fusion Network in Chinese and English Languages. CLSW 2018: 698-704 - [c62]Fuli Luo, Tianyu Liu, Zexue He, Qiaolin Xia, Zhifang Sui, Baobao Chang:
Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention. EMNLP 2018: 1402-1411 - [c61]Tao Ge, Qing Dou, Heng Ji, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou:
Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition. EMNLP 2018: 2496-2506 - [c60]Wenhui Wang, Baobao Chang, Mairgup Mansur:
Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data. EMNLP 2018: 2857-2863 - [c59]Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou:
EventWiki: A Knowledge Base of Major Events. LREC 2018 - [c58]Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou:
SeRI: A Dataset for Sub-event Relation Inference from an Encyclopedia. NLPCC (2) 2018: 268-277 - [i7]Fuli Luo, Tianyu Liu, Qiaolin Xia, Baobao Chang, Zhifang Sui:
Incorporating Glosses into Neural Word Sense Disambiguation. CoRR abs/1805.08028 (2018) - 2017
- [c57]Wenhui Wang, Nan Yang, Furu Wei, Baobao Chang, Ming Zhou:
Gated Self-Matching Networks for Reading Comprehension and Question Answering. ACL (1) 2017: 189-198 - [c56]Qiaolin Xia, Lei Sha, Baobao Chang, Zhifang Sui:
A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data. ACL (1) 2017: 2069-2077 - [c55]Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang:
Syntax Aware LSTM model for Semantic Role Labeling. SPNLP@EMNLP 2017: 27-32 - [c54]Kexiang Wang, Tianyu Liu, Zhifang Sui, Baobao Chang:
Affinity-Preserving Random Walk for Multi-Document Summarization. EMNLP 2017: 210-220 - [c53]Tianyu Liu, Kexiang Wang, Baobao Chang, Zhifang Sui:
A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction. EMNLP 2017: 1790-1795 - [c52]Tianyu Liu, Bingzhen Wei, Baobao Chang, Zhifang Sui:
Large-Scale Simple Question Generation by Template-Based Seq2seq Learning. NLPCC 2017: 75-87 - [e1]Maosong Sun, Xiaojie Wang, Baobao Chang, Deyi Xiong:
Chinese Computational Linguistics and Natural Language Processing Based on Naturally Annotated Big Data - 16th China National Conference, CCL 2017, - and - 5th International Symposium, NLP-NABD 2017, Nanjing, China, October 13-15, 2017, Proceedings. Lecture Notes in Computer Science 10565, Springer 2017, ISBN 978-3-319-69004-9 [contents] - [i6]Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang:
Syntax Aware LSTM Model for Chinese Semantic Role Labeling. CoRR abs/1704.00405 (2017) - [i5]Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui:
Order-Planning Neural Text Generation From Structured Data. CoRR abs/1709.00155 (2017) - [i4]Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui:
Table-to-text Generation by Structure-aware Seq2seq Learning. CoRR abs/1711.09724 (2017) - 2016
- [c51]Lei Sha, Jing Liu, Chin-Yew Lin, Sujian Li, Baobao Chang, Zhifang Sui:
RBPB: Regularization-Based Pattern Balancing Method for Event Extraction. ACL (1) 2016 - [c50]Wenhui Wang, Baobao Chang:
Graph-based Dependency Parsing with Bidirectional LSTM. ACL (1) 2016 - [c49]Tianshi Li, Qi Li, Baobao Chang:
Improving Chinese Semantic Role Labeling with English Proposition Bank. CCL 2016: 3-11 - [c48]Wenhui Wang, Baobao Chang:
Improved Graph-Based Dependency Parsing via Hierarchical LSTM Networks. CCL 2016: 25-32 - [c47]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Recognizing Textual Entailment via Multi-task Knowledge Assisted LSTM. CCL 2016: 285-298 - [c46]Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, Zhifang Sui:
Towards Time-Aware Knowledge Graph Completion. COLING 2016: 1715-1724 - [c45]Lei Sha, Baobao Chang, Zhifang Sui, Sujian Li:
Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition. COLING 2016: 2870-2879 - [c44]Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Ming Zhou:
Event Detection with Burst Information Networks. COLING 2016: 3276-3286 - [c43]Qi Li, Tianshi Li, Baobao Chang:
Discourse Parsing with Attention-based Hierarchical Neural Networks. EMNLP 2016: 362-371 - [c42]Tao Ge, Lei Cui, Baobao Chang, Sujian Li, Ming Zhou, Zhifang Sui:
News Stream Summarization using Burst Information Networks. EMNLP 2016: 784-794 - [c41]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang:
Capturing Argument Relationship for Chinese Semantic Role Labeling. EMNLP 2016: 2011-2016 - [c40]Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Encoding Temporal Information for Time-Aware Link Prediction. EMNLP 2016: 2350-2354 - [c39]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Joint Learning Templates and Slots for Event Schema Induction. HLT-NAACL 2016: 428-434 - [c38]Qi Li, Tianshi Li, Baobao Chang:
Learning Word Sense Embeddings from Word Sense Definitions. NLPCC/ICCPOL 2016: 224-235 - [c37]Tao Ge, Lei Cui, Heng Ji, Baobao Chang, Zhifang Sui:
Discovering Concept-Level Event Associations from a Text Stream. NLPCC/ICCPOL 2016: 413-424 - [i3]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui:
Joint Learning Templates and Slots for Event Schema Induction. CoRR abs/1603.01333 (2016) - [i2]Qi Li, Tianshi Li, Baobao Chang:
Multi-phase Word Sense Embedding Learning Using a Corpus and a Lexical Ontology. CoRR abs/1606.04835 (2016) - [i1]Tao Ge, Qing Dou, Xiaoman Pan, Heng Ji, Lei Cui, Baobao Chang, Zhifang Sui, Ming Zhou:
Aligning Coordinated Text Streams through Burst Information Network Construction and Decipherment. CoRR abs/1609.08237 (2016) - 2015
- [c36]Wenzhe Pei, Tao Ge, Baobao Chang:
An Effective Neural Network Model for Graph-based Dependency Parsing. ACL (1) 2015: 313-322 - [c35]Tao Ge, Wenzhe Pei, Heng Ji, Sujian Li, Baobao Chang, Zhifang Sui:
Bring you to the past: Automatic Generation of Topically Relevant Event Chronicles. ACL (1) 2015: 575-585 - [c34]Tao Ge, Heng Ji, Baobao Chang, Zhifang Sui:
One Tense per Scene: Predicting Tense in Chinese Conversations. ACL (2) 2015: 668-673 - [c33]Tao Ge, Wenzhe Pei, Baobao Chang, Zhifang Sui:
Distinguishing Specific and Daily Topics. APWeb 2015: 80-91 - [c32]Tianshi Li, Baobao Chang:
Semantic Role Labeling Using Recursive Neural Network. CCL 2015: 66-76 - [c31]Pingping Huang, Baobao Chang:
Graph-Based Dependency Parsing with Recursive Neural Network. CCL 2015: 227-239 - [c30]Miaohong Chen, Baobao Chang, Yang Liu:
A Neural Network Based Translation Constrained Reranking Model for Chinese Dependency Parsing. CCL 2015: 240-249 - [c29]Zhen Wang, Baobao Chang, Zhifang Sui:
Distantly Supervised Neural Network Model for Relation Extraction. CCL 2015: 253-266 - [c28]Li Li, Houfeng Wang, Xu Sun, Baobao Chang, Shi Zhao, Lei Sha:
Multi-label Text Categorization with Joint Learning Predictions-as-Features Method. EMNLP 2015: 835-839 - [c27]Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang:
Recognizing Textual Entailment Using Probabilistic Inference. EMNLP 2015: 1620-1625 - [c26]Zhen Wang, Tingsong Jiang, Baobao Chang, Zhifang Sui:
Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks. EMNLP 2015: 1626-1631 - [c25]Chuncheng Xiang, Tingsong Jiang, Baobao Chang, Zhifang Sui:
ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation. EMNLP 2015: 2419-2429 - [c24]Chuncheng Xiang, Baobao Chang, Zhifang Sui:
An Ontology Matching Approach Based on Affinity-Preserving Random Walks. IJCAI 2015: 1471-1478 - 2014
- [c23]Wenzhe Pei, Tao Ge, Baobao Chang:
Max-Margin Tensor Neural Network for Chinese Word Segmentation. ACL (1) 2014: 293-303 - [c22]Baobao Chang, Wenzhe Pei, Miaohong Chen:
Inducing Word Sense with Automatically Learned Hidden Concepts. COLING 2014: 355-364 - [c21]Miaohong Chen, Baobao Chang, Wenzhe Pei:
A Joint Model for Unsupervised Chinese Word Segmentation. EMNLP 2014: 854-863 - [c20]Pingping Huang, Baobao Chang:
SSMT: A Machine Translation Evaluation View To Paragraph-to-Sentence Semantic Similarity. SemEval@COLING 2014: 585-589 - 2013
- [c19]Dongxu Han, Baobao Chang:
A Maximum Entropy Approach to Chinese Spelling Check. SIGHAN@IJCNLP 2013: 74-78 - [c18]Tao Ge, Zhifang Sui, Baobao Chang:
Exploiting collaborative filtering techniques for automatic assessment of student free-text responses. CIKM 2013: 1493-1496 - [c17]Wenzhe Pei, Dongxu Han, Baobao Chang:
A Refined HDP-Based Model for Unsupervised Chinese Word Segmentation. CCL 2013: 44-51 - [c16]Tao Ge, Baobao Chang, Sujian Li, Zhifang Sui:
Event-Based Time Label Propagation for Automatic Dating of News Articles. EMNLP 2013: 1-11 - [c15]Mairgup Mansur, Wenzhe Pei, Baobao Chang:
Feature-based Neural Language Model and Chinese Word Segmentation. IJCNLP 2013: 1271-1277 - [c14]Sujian Li, Jiwei Li, Tao Song, Wenjie Li
, Baobao Chang:
A novel topic model for automatic term extraction. SIGIR 2013: 885-888 - 2012
- [c13]Jiwei Li, Sujian Li, Xun Wang, Ye Tian, Baobao Chang:
Update Summarization using a Multi-level Hierarchical Dirichlet Process Model. COLING 2012: 1603-1618 - 2011
- [j4]Lei Wang, Baobao Chang, Janet Harkness:
A Method of Automatic Translation of Words of Multiple Affixes In Scientific Literature. Int. J. Asian Lang. Process. 21(1): 15-22 (2011) - 2010
- [c12]Baobao Chang, Mairgup Mansur:
Chinese word segmentation model using bootstrapping. CIPS-SIGHAN 2010 - [c11]Baobao Chang, Dongxu Han:
Enhancing Domain Portability of Chinese Segmentation Model Using Chi-Square Statistics and Bootstrapping. EMNLP 2010: 789-798 - [c10]Lei Wang, Baobao Chang, Janet Harkness:
A Method of Automatic Translation of Words of Multiple Affixes in Scientific Literature. IALP 2010: 241-244 - [c9]Tiansang Du, Baobao Chang:
Training MT Model Using Structural SVM. IALP 2010: 249-252
2000 – 2009
- 2009
- [j3]Weiwei Ding, Baobao Chang:
Word Based Chinese Semantic Role Labeling with Semantic Chunking. Int. J. Comput. Process. Orient. Lang. 22(2-3): 133-154 (2009) - [c8]Weiwei Ding, Baobao Chang:
Fast Semantic Role Labeling for Chinese Based on Semantic Chunking. ICCPOL 2009: 79-90 - [c7]Xiaodong Zheng, Liang Chen, Baobao Chang:
Applying tree kernel to Chinese syntactic parsing reranking. NLPKE 2009: 1-6 - 2008
- [c6]Weiwei Ding, Baobao Chang:
Improving Chinese Semantic Role Classification with Hierarchical Feature Selection Strategy. EMNLP 2008: 324-333 - [c5]Danqing Zhu, Baobao Chang:
Bootstrapping word alignment by automatically generated bilingual dictionary. NLPKE 2008: 1-7 - 2005
- [c4]Byeong Kwu Kang, Baobao Chang, Yi-Rong Chen, Shiwen Yu:
Extracting Terminologically Relevant Collocations in the Translation of Chinese Monograph. IJCNLP 2005: 1017-1028 - 2004
- [c3]Baobao Chang:
Chinese-English Parallel Corpus Construction and its Application. PACLIC 2004 - 2003
- [j2]Baobao Chang, Xiaojing Bai:
The Markup Guidelines for the Chinese-English Parallel Corpus of Peking University. J. Chin. Lang. Comput. 13 (2003) - [j1]Shiwen Yu, Huiming Duan, Bin Swen, Baobao Chang:
Specification for Corpus Processing at Peking University: Word Segmentation, POS Tagging and Phonetic Notation. J. Chin. Lang. Comput. 13 (2003) - [c2]Huiming Duan, Xiaojing Bai, Baobao Chang, Shiwen Yu:
Chinese Word Segmentation at Peking University. SIGHAN 2003: 152-155 - 2002
- [c1]Baobao Chang, Pernilla Danielsson, Wolfgang Teubert:
Extraction of Translation Unit from Chinese-English Parallel Corpora. SIGHAN@COLING 2002
Coauthor Index
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