Stop the war!Остановите войну!
for scientists:
default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDBaobao Chang
Person information
- affiliation: Peking University, Beijing, China
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c127]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- [c126]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 - [c125]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 - [c124]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 - [c123]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. NAACL-HLT 2024: 2893-2907 - [c122]Zefan Cai, Xin Zheng, Tianyu Liu, Haoran Meng, Jiaqi Han, Gang Yuan, Binghuai Lin, Baobao Chang, Yunbo Cao:
DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade. NAACL-HLT 2024: 5431-5452 - [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]