Baobao Chang - RankMe

234 papers A* 44A 4B 13C 2Misc 1Journal 87Unranked 82

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	BabyVision: Visual Reasoning Beyond Language. CoRR Liang Chen, Weichu Xie, Yiyan Liang, Hongfeng He, Hans Zhao, Zhibo Yang, Zhiqi Huang, Haoning Wu, Haoyu Lu, Y. Charles, Yiping Bao, Yuantao Fan, GuoPeng Li, Haiyang Shen, Xuanzhong Chen, Wendong Xu, Shuzheng Si, Zefan Cai, Wenhao Chai, Ziqi Huang, Fangfu Liu, Tianyu Liu, Baobao Chang, Xiaobo Hu, Kaiyuan Chen, Yixin Ren, Yang Liu, Yuan Gong, Kuan Li
2026	J	`jnl`	LongR: Unleashing Long-Context Reasoning via Reinforcement Learning with Dense Utility Rewards. CoRR Bowen Ping, Zijun Chen, Yiyao Yu, Tingfeng Hui, Junchi Yan, Baobao Chang
2026	A*	`conf`	Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning. AAAI Shuzheng Si, Haozhe Zhao, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Bofei Gao, Kangyang Luo, Wenhao Li, Yufei Huang, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun
2025	J	`jnl`	A Goal Without a Plan Is Just a Wish: Efficient and Effective Global Planner Training for Long-Horizon Agent Tasks. CoRR Shuzheng Si, Haozhe Zhao, Kangyang Luo, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun
2025	A*	`conf`	A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation. ICLR Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang
2025	—	`conf`	Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering. ACL (1) Shuzheng Si, Haozhe Zhao, Gang Chen, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Kaikai An, Kangyang Luo, Chen Qian, Fanchao Qi, Baobao Chang, Maosong Sun
2025	J	`jnl`	Aligning Large Language Models to Follow Instructions and Hallucinate Less via Effective Data Filtering. CoRR Shuzheng Si, Haozhe Zhao, Gang Chen, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Kaikai An, Kangyang Luo, Chen Qian, Fanchao Qi, Baobao Chang, Maosong Sun
2025	A	`conf`	CCAgent: Coordinating Collaborative Data Scaling for Operating System Agents via Web3. CIKM Liang Chen, Haozhe Zhao, Yinzhen Huang, Yang Luo, Tsekai Lin, Weichu Xie, Ruoyu Wu, Peiyi Wang, Runxin Xu, Ming Wu, Baobao Chang
2025	J	`jnl`	FaithLens: Detecting and Explaining Faithfulness Hallucination. CoRR Shuzheng Si, Qingyi Wang, Haozhe Zhao, Yuzhuo Bai, Guanqiao Chen, Kangyang Luo, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun
2025	J	`jnl`	G1: Bootstrapping Perception and Reasoning Abilities of Vision-Language Model via Reinforcement Learning. CoRR Liang Chen, Hongcheng Gao, Tianyu Liu, Zhiqi Huang, Flood Sung, Xinyu Zhou, Yuxin Wu, Baobao Chang
2025	A*	`conf`	GATEAU: Selecting Influential Samples for Long Context Alignment. EMNLP Shuzheng Si, Haozhe Zhao, Gang Chen, Yunshui Li, Kangyang Luo, Chuancheng Lv, Kaikai An, Fanchao Qi, Baobao Chang, Maosong Sun
2025	—	`conf`	LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. ACL (Findings) Bofei Gao, Zefan Cai, Runxin Xu, Peiyi Wang, Ce Zheng, Runji Lin, Keming Lu, Dayiheng Liu, Chang Zhou, Wen Xiao, Tianyu Liu, Baobao Chang
2025	A*	`conf`	Looking Beyond Text: Reducing Language Bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance. EMNLP Haozhe Zhao, Shuzheng Si, Liang Chen, Yichi Zhang, Maosong Sun, Baobao Chang, Minjia Zhang
2025	—	`conf`	MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. NAACL (Long Papers) 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
2025	J	`jnl`	Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control Is Easier Than You Think. CoRR Liang Chen, Shuai Bai, Wenhao Chai, Weichu Xie, Haozhe Zhao, Leon Vinci, Junyang Lin, Baobao Chang
2025	—	`conf`	Multimodal Representation Alignment for Image Generation: Text-Image Interleaved Control is Easier than You Think. ICCVW Liang Chen, Shuai Bai, Wenhao Chai, Weichu Xie, Haozhe Zhao, Leon Vinci, Junyang Lin, Baobao Chang
2025	A*	`conf`	Omni-MATH: A Universal Olympiad Level Mathematic Benchmark for Large Language Models. ICLR Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang
2025	—	`conf`	Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints. ACL (2) Kaikai An, Shuzheng Si, Helan Hu, Haozhe Zhao, Yuchi Wang, Qingyan Guo, Baobao Chang
2025	J	`jnl`	Sparse Training Scheme for Multimodal LLM. CoRR Kean Shi, Liang Chen, Haozhe Zhao, Baobao Chang
2025	J	`jnl`	Teaching Large Language Models to Maintain Contextual Faithfulness via Synthetic Tasks and Reinforcement Learning. CoRR Shuzheng Si, Haozhe Zhao, Cheng Gao, Yuzhuo Bai, Zhitong Wang, Bofei Gao, Kangyang Luo, Wenhao Li, Yufei Huang, Gang Chen, Fanchao Qi, Minjia Zhang, Baobao Chang, Maosong Sun
2025	A*	`conf`	Thread: A Logic-Based Data Organization Paradigm for How-To Question Answering with Retrieval Augmented Generation. EMNLP Kaikai An, Fangkai Yang, Liqun Li, Junting Lu, Sitao Cheng, Shuzheng Si, Lu Wang, Pu Zhao, Lele Cao, Qingwei Lin, Saravan Rajmohan, Dongmei Zhang, Baobao Chang
2025	—	`conf`	Towards A Better Initial Policy Model For Scalable Long-CoT Reinforcement Learning. ACL (Findings) Bofei Gao, Yejie Wang, Yibo Miao, Ruoyu Wu, Feifan Song, Longhui Yu, Tianyu Liu, Baobao Chang
2025	A*	`conf`	UltraIF: Advancing Instruction Following from the Wild. EMNLP Kaikai An, Li Sheng, Ganqu Cui, Shuzheng Si, Ning Ding, Yu Cheng, Baobao Chang
2025	J	`jnl`	UltraIF: Advancing Instruction Following from the Wild. CoRR Kaikai An, Li Sheng, Ganqu Cui, Shuzheng Si, Ning Ding, Yu Cheng, Baobao Chang
2024	J	`jnl`	A Spark of Vision-Language Intelligence: 2-Dimensional Autoregressive Transformer for Efficient Finegrained Image Generation. CoRR Liang Chen, Sinan Tan, Zefan Cai, Weichu Xie, Haozhe Zhao, Yichi Zhang, Junyang Lin, Jinze Bai, Tianyu Liu, Baobao Chang
2024	A*	`conf`	A Survey on In-context Learning. EMNLP Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Jingyuan Ma, Rui Li, Heming Xia, Jingjing Xu, Zhiyong Wu, Baobao Chang, Xu Sun, Lei Li, Zhifang Sui
2024	—	`conf`	An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models. ECCV (81) Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang
2024	J	`jnl`	An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models. CoRR Liang Chen, Haozhe Zhao, Tianyu Liu, Shuai Bai, Junyang Lin, Chang Zhou, Baobao Chang
2024	A*	`conf`	Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models. NeurIPS Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu, Yukun Yan, Yun Chen, Baobao Chang, Zhiyuan Liu, Maosong Sun
2024	J	`jnl`	Delta-CoMe: Training-Free Delta-Compression with Mixed-Precision for Large Language Models. CoRR Bowen Ping, Shuo Wang, Hanqing Wang, Xu Han, Yuzhuang Xu, Yukun Yan, Yun Chen, Baobao Chang, Zhiyuan Liu, Maosong Sun
2024	—	`conf`	DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade. NAACL-HLT Zefan Cai, Xin Zheng, Tianyu Liu, Haoran Meng, Jiaqi Han, Gang Yuan, Binghuai Lin, Baobao Chang, Yunbo Cao
2024	—	`conf`	Improving Event Definition Following For Zero-Shot Event Detection. ACL (1) Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, Nanyun Peng
2024	J	`jnl`	Improving Event Definition Following For Zero-Shot Event Detection. CoRR Zefan Cai, Po-Nien Kung, Ashima Suvarna, Mingyu Derek Ma, Hritik Bansal, Baobao Chang, P. Jeffrey Brantingham, Wei Wang, Nanyun Peng
2024	—	`conf`	Improving the Robustness of Distantly-Supervised Named Entity Recognition via Uncertainty-Aware Teacher Learning and Student-Student Collaborative Learning. ACL (Findings) Shuzheng Si, Helan Hu, Haozhe Zhao, Shuang Zeng, Kaikai An, Zefan Cai, Baobao Chang
2024	J	`jnl`	LLM Critics Help Catch Bugs in Mathematics: Towards a Better Mathematical Verifier with Natural Language Feedback. CoRR 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
2024	J	`jnl`	Looking Beyond Text: Reducing Language bias in Large Vision-Language Models via Multimodal Dual-Attention and Soft-Image Guidance. CoRR Haozhe Zhao, Shuzheng Si, Liang Chen, Yichi Zhang, Maosong Sun, Mingjia Zhang, Baobao Chang
2024	J	`jnl`	MMEvalPro: Calibrating Multimodal Benchmarks Towards Trustworthy and Efficient Evaluation. CoRR 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
2024	A*	`conf`	MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning. ICLR Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang
2024	—	`conf`	Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation. NAACL-HLT Haozhe Zhao, Zefan Cai, Shuzheng Si, Liang Chen, Yufeng He, Kaikai An, Baobao Chang
2024	J	`jnl`	Mitigating Language-Level Performance Disparity in mPLMs via Teacher Language Selection and Cross-lingual Self-Distillation. CoRR Haozhe Zhao, Zefan Cai, Shuzheng Si, Liang Chen, Yufeng He, Kaikai An, Baobao Chang
2024	J	`jnl`	Next Token Prediction Towards Multimodal Intelligence: A Comprehensive Survey. CoRR Liang Chen, Zekun Wang, Shuhuai Ren, Lei Li, Haozhe Zhao, Yunshui Li, Zefan Cai, Hongcheng Guo, Lei Zhang, Yizhe Xiong, Yichi Zhang, Ruoyu Wu, Qingxiu Dong, Ge Zhang, Jian Yang, Lingwei Meng, Shujie Hu, Yulong Chen, Junyang Lin, Shuai Bai, Andreas Vlachos, Xu Tan, Minjia Zhang, Wen Xiao, Aaron Yee, Tianyu Liu, Baobao Chang
2024	J	`jnl`	Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models. CoRR Bofei Gao, Feifan Song, Zhe Yang, Zefan Cai, Yibo Miao, Qingxiu Dong, Lei Li, Chenghao Ma, Liang Chen, Runxin Xu, Zhengyang Tang, Benyou Wang, Daoguang Zan, Shanghaoran Quan, Ge Zhang, Lei Sha, Yichang Zhang, Xuancheng Ren, Tianyu Liu, Baobao Chang
2024	—	`conf`	PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain. ACL (Findings) Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang
2024	J	`jnl`	PCA-Bench: Evaluating Multimodal Large Language Models in Perception-Cognition-Action Chain. CoRR Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Xiangdi Meng, Tianyu Liu, Baobao Chang
2024	J	`jnl`	PyramidKV: Dynamic KV Cache Compression based on Pyramidal Information Funneling. CoRR Zefan Cai, Yichi Zhang, Bofei Gao, Yuliang Liu, Tianyu Liu, Keming Lu, Wayne Xiong, Yue Dong, Baobao Chang, Junjie Hu, Wen Xiao
2024	J	`jnl`	Rethinking Semantic Parsing for Large Language Models: Enhancing LLM Performance with Semantic Hints. CoRR Kaikai An, Shuzheng Si, Helan Hu, Haozhe Zhao, Yuchi Wang, Qingyan Guo, Baobao Chang
2024	J	`jnl`	Selecting Influential Samples for Long Context Alignment via Homologous Models' Guidance and Contextual Awareness Measurement. CoRR Shuzheng Si, Haozhe Zhao, Gang Chen, Yunshui Li, Kangyang Luo, Chuancheng Lv, Kaikai An, Fanchao Qi, Baobao Chang, Maosong Sun
2024	J	`jnl`	Towards a Unified View of Preference Learning for Large Language Models: A Survey. CoRR Bofei Gao, Feifan Song, Yibo Miao, Zefan Cai, Zhe Yang, Liang Chen, Helan Hu, Runxin Xu, Qingxiu Dong, Ce Zheng, Wen Xiao, Ge Zhang, Daoguang Zan, Keming Lu, Bowen Yu, Dayiheng Liu, Zeyu Cui, Jian Yang, Lei Sha, Houfeng Wang, Zhifang Sui, Peiyi Wang, Tianyu Liu, Baobao Chang
2024	A*	`conf`	UltraEdit: Instruction-based Fine-Grained Image Editing at Scale. NeurIPS Haozhe Zhao, Xiaojian (Shawn) Ma, Liang Chen, Shuzheng Si, Rujie Wu, Kaikai An, Peiyu Yu, Minjia Zhang, Qing Li, Baobao Chang
2024	J	`jnl`	UltraEdit: Instruction-based Fine-Grained Image Editing at Scale. CoRR Haozhe Zhao, Xiaojian Ma, Liang Chen, Shuzheng Si, Rujie Wu, Kaikai An, Peiyu Yu, Minjia Zhang, Qing Li, Baobao Chang
2024	J	`jnl`	VeCAF: VLM-empowered Collaborative Active Finetuning with Training Objective Awareness. CoRR 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
2024	A*	`conf`	VeCAF: Vision-language Collaborative Active Finetuning with Training Objective Awareness. ACM Multimedia 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
2023	J	`jnl`	A Span-based Target-aware Relation Model for Frame-semantic Parsing. ACM Trans. Asian Low Resour. Lang. Inf. Process. Xuefeng Su, Ru Li, Xiaoli Li, Baobao Chang, Zhiwei Hu, Xiaoqi Han, Zhichao Yan
2023	J	`jnl`	A Survey for In-context Learning. CoRR Qingxiu Dong, Lei Li, Damai Dai, Ce Zheng, Zhiyong Wu, Baobao Chang, Xu Sun, Jingjing Xu, Lei Li, Zhifang Sui
2023	A*	`conf`	Can We Edit Factual Knowledge by In-Context Learning? EMNLP Ce Zheng, Lei Li, Qingxiu Dong, Yuxuan Fan, Zhiyong Wu, Jingjing Xu, Baobao Chang
2023	J	`jnl`	Can We Edit Factual Knowledge by In-Context Learning? CoRR Ce Zheng, Lei Li, Qingxiu Dong, Yuxuan Fan, Zhiyong Wu, Jingjing Xu, Baobao Chang
2023	—	`conf`	Coarse-to-Fine Dual Encoders are Better Frame Identification Learners. EMNLP (Findings) Kaikai An, Ce Zheng, Bofei Gao, Haozhe Zhao, Baobao Chang
2023	J	`jnl`	Coarse-to-Fine Dual Encoders are Better Frame Identification Learners. CoRR Kaikai An, Ce Zheng, Bofei Gao, Haozhe Zhao, Baobao Chang
2023	—	`conf`	Coarse-to-Fine Entity Representations for Document-Level Relation Extraction. NLPCC (2) Damai Dai, Jing Ren, Shuang Zeng, Baobao Chang, Zhifang Sui
2023	J	`jnl`	DialogVCS: Robust Natural Language Understanding in Dialogue System Upgrade. CoRR Zefan Cai, Xin Zheng, Tianyu Liu, Xu Wang, Haoran Meng, Jiaqi Han, Gang Yuan, Binghuai Lin, Baobao Chang, Yunbo Cao
2023	J	`jnl`	DiffCap: Exploring Continuous Diffusion on Image Captioning. CoRR Yufeng He, Zefan Cai, Xu Gan, Baobao Chang
2023	J	`jnl`	Distantly-Supervised Named Entity Recognition with Uncertainty-aware Teacher Learning and Student-student Collaborative Learning. CoRR Helan Hu, Shuzheng Si, Haozhe Zhao, Shuang Zeng, Kaikai An, Zefan Cai, Baobao Chang
2023	—	`conf`	Guiding AMR Parsing with Reverse Graph Linearization. EMNLP (Findings) Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang
2023	J	`jnl`	Guiding AMR Parsing with Reverse Graph Linearization. CoRR Bofei Gao, Liang Chen, Peiyi Wang, Zhifang Sui, Baobao Chang
2023	J	`jnl`	Human-in-the-Loop through Chain-of-Thought. CoRR Zefan Cai, Baobao Chang, Wenjuan Han
2023	J	`jnl`	Local-to-Global Framework for Multi-target Frame Identification. World Sci. Annu. Rev. Artif. Intell. Xudong Chen, Ce Zheng, Baobao Chang, Ru Li
2023	J	`jnl`	ML-Bench: Large Language Models Leverage Open-source Libraries for Machine Learning Tasks. CoRR 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
2023	J	`jnl`	MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning. CoRR Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang
2023	J	`jnl`	Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting. CoRR Shuzheng Si, Shuang Zeng, Baobao Chang
2023	—	`conf`	Mixture-of-Experts for Biomedical Question Answering. NLPCC (1) Damai Dai, Wenbin Jiang, Jiyuan Zhang, Yajuan Lyu, Zhifang Sui, Baobao Chang
2023	—	`conf`	On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation. ACL (Findings) Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang
2023	J	`jnl`	On the Off-Target Problem of Zero-Shot Multilingual Neural Machine Translation. CoRR Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang
2023	A*	`conf`	On the Pareto Front of Multilingual Neural Machine Translation. NeurIPS Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang
2023	J	`jnl`	On the Pareto Front of Multilingual Neural Machine Translation. CoRR Liang Chen, Shuming Ma, Dongdong Zhang, Furu Wei, Baobao Chang
2023	A*	`conf`	Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling. AAAI Ce Zheng, Yiming Wang, Baobao Chang
2023	—	`conf`	SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition. ACL (Findings) Shuzheng Si, Zefan Cai, Shuang Zeng, Guoqiang Feng, Jiaxing Lin, Baobao Chang
2023	J	`jnl`	SANTA: Separate Strategies for Inaccurate and Incomplete Annotation Noise in Distantly-Supervised Named Entity Recognition. CoRR Shuzheng Si, Zefan Cai, Shuang Zeng, Guoqiang Feng, Jiaxing Lin, Baobao Chang
2023	Misc	`conf`	TABLEIE: Capturing the Interactions Among Sub-Tasks in Information Extraction via Double Tables. ICASSP Jiaxing Lin, Runxin Xu, Baobao Chang
2023	J	`jnl`	Towards End-to-End Embodied Decision Making via Multi-modal Large Language Model: Explorations with GPT4-Vision and Beyond. CoRR Liang Chen, Yichi Zhang, Shuhuai Ren, Haozhe Zhao, Zefan Cai, Yuchi Wang, Peiyi Wang, Tianyu Liu, Baobao Chang
2022	—	`conf`	A Double-Graph Based Framework for Frame Semantic Parsing. NAACL-HLT Ce Zheng, Xudong Chen, Runxin Xu, Baobao Chang
2022	J	`jnl`	A Double-Graph Based Framework for Frame Semantic Parsing. CoRR Ce Zheng, Xudong Chen, Runxin Xu, Baobao Chang
2022	J	`jnl`	A Two-Stage Method for Chinese AMR Parsing. CoRR Liang Chen, Bofei Gao, Baobao Chang
2022	—	`conf`	A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. NAACL-HLT Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui
2022	J	`jnl`	A Two-Stream AMR-enhanced Model for Document-level Event Argument Extraction. CoRR Runxin Xu, Peiyi Wang, Tianyu Liu, Shuang Zeng, Baobao Chang, Zhifang Sui
2022	—	`conf`	ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. NAACL-HLT (Findings) Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang
2022	J	`jnl`	ATP: AMRize Then Parse! Enhancing AMR Parsing with PseudoAMRs. CoRR Liang Chen, Peiyi Wang, Runxin Xu, Tianyu Liu, Zhifang Sui, Baobao Chang
2022	—	`conf`	An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. NAACL-HLT Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui
2022	—	`conf`	CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. ACL (1) 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
2022	—	`conf`	CLINER: Clinical Interrogation Named Entity Recognition. KSEM (2) Jing Ren, Tianyang Cao, Yifan Yang, Yunyan Zhang, Xi Chen, Tian Feng, Baobao Chang, Zhifang Sui, Ruihui Zhao, Yefeng Zheng, Bang Liu
2022	B	`conf`	DISK: Domain-constrained Instance Sketch for Math Word Problem Generation. COLING Tianyang Cao, Shuang Zeng, Xiaodan Xu, Mairgup Mansur, Baobao Chang
2022	J	`jnl`	DISK: Domain-constrained Instance Sketch for Math Word Problem Generation. CoRR Tianyang Cao, Shuang Zeng, Xiaodan Xu, Mairgup Mansur, Baobao Chang
2022	—	`conf`	Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation. ACL (2) Liang Chen, Runxin Xu, Baobao Chang
2022	J	`jnl`	Focus on the Target's Vocabulary: Masked Label Smoothing for Machine Translation. CoRR Liang Chen, Runxin Xu, Baobao Chang
2022	A*	`conf`	From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. AAAI Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang
2022	—	`conf`	Hierarchical Curriculum Learning for AMR Parsing. ACL (2) Peiyi Wang, Liang Chen, Tianyu Liu, Damai Dai, Yunbo Cao, Baobao Chang, Zhifang Sui
2022	—	`conf`	Knowledge Neurons in Pretrained Transformers. ACL (1) Damai Dai, Li Dong, Yaru Hao, Zhifang Sui, Baobao Chang, Furu Wei
2022	—	`conf`	Mining Clues from Incomplete Utterance: A Query-enhanced Network for Incomplete Utterance Rewriting. NAACL-HLT Shuzheng Si, Shuang Zeng, Baobao Chang
2022	J	`jnl`	Mixture of Experts for Biomedical Question Answering. CoRR Damai Dai, Wenbin Jiang, Jiyuan Zhang, Weihua Peng, Yajuan Lyu, Zhifang Sui, Baobao Chang, Yong Zhu
2022	—	`conf`	Plug-and-Play Module for Commonsense Reasoning in Machine Reading Comprehension. NLPCC (2) Damai Dai, Hua Zheng, Zhifang Sui, Baobao Chang
2022	—	`conf`	Premise-based Multimodal Reasoning: Conditional Inference on Joint Textual and Visual Clues. ACL (1) 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
2022	J	`jnl`	Query Your Model with Definitions in FrameNet: An Effective Method for Frame Semantic Role Labeling. CoRR Ce Zheng, Yiming Wang, Baobao Chang
2022	A*	`conf`	Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. IJCAI Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui
2022	J	`jnl`	Robust Fine-tuning via Perturbation and Interpolation from In-batch Instances. CoRR Shoujie Tong, Qingxiu Dong, Damai Dai, Yifan Song, Tianyu Liu, Baobao Chang, Zhifang Sui
2022	—	`conf`	S$^4$-Tuning: A Simple Cross-lingual Sub-network Tuning Method. ACL (2) Runxin Xu, Fuli Luo, Baobao Chang, Songfang Huang, Fei Huang
2022	B	`conf`	SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER. COLING Shuzheng Si, Shuang Zeng, Jiaxing Lin, Baobao Chang
2022	J	`jnl`	SCL-RAI: Span-based Contrastive Learning with Retrieval Augmented Inference for Unlabeled Entity Problem in NER. CoRR Shuzheng Si, Shuang Zeng, Jiaxing Lin, Baobao Chang
2022	—	`conf`	StableMoE: Stable Routing Strategy for Mixture of Experts. ACL (1) Damai Dai, Li Dong, Shuming Ma, Bo Zheng, Zhifang Sui, Baobao Chang, Furu Wei
2022	J	`jnl`	StableMoE: Stable Routing Strategy for Mixture of Experts. CoRR Damai Dai, Li Dong, Shuming Ma, Bo Zheng, Zhifang Sui, Baobao Chang, Furu Wei
2021	J	`jnl`	An Enhanced Span-based Decomposition Method for Few-Shot Sequence Labeling. CoRR Peiyi Wang, Runxin Xu, Tianyu Liu, Qingyu Zhou, Yunbo Cao, Baobao Chang, Zhifang Sui
2021	A	`conf`	Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. CIKM Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui
2021	J	`jnl`	Behind the Scenes: An Exploration of Trigger Biases Problem in Few-Shot Event Classification. CoRR Peiyi Wang, Runxin Xu, Tianyu Liu, Damai Dai, Baobao Chang, Zhifang Sui
2021	J	`jnl`	CBLUE: A Chinese Biomedical Language Understanding Evaluation Benchmark. CoRR 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
2021	—	`conf`	Decompose, Fuse and Generate: A Formation-Informed Method for Chinese Definition Generation. NAACL-HLT Hua Zheng, Damai Dai, Lei Li, Tianyu Liu, Zhifang Sui, Baobao Chang, Yang Liu
2021	—	`conf`	Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker. ACL/IJCNLP (1) Runxin Xu, Tianyu Liu, Lei Li, Baobao Chang
2021	J	`jnl`	Document-level Event Extraction via Heterogeneous Graph-based Interaction Model with a Tracker. CoRR Runxin Xu, Tianyu Liu, Lei Li, Baobao Chang
2021	J	`jnl`	Explicit Interaction Network for Aspect Sentiment Triplet Extraction. CoRR Peiyi Wang, Lianzhe Huang, Tianyu Liu, Damai Dai, Runxin Xu, Houfeng Wang, Baobao Chang, Zhifang Sui
2021	J	`jnl`	From Dense to Sparse: Contrastive Pruning for Better Pre-trained Language Model Compression. CoRR Runxin Xu, Fuli Luo, Chengyu Wang, Baobao Chang, Jun Huang, Songfang Huang, Fei Huang
2021	—	`conf`	Generating Math Word Problems from Equations with Topic Consistency Maintaining and Commonsense Enforcement. ICANN (3) Tianyang Cao, Shuang Zeng, Songge Zhao, Mairgup Mansur, Baobao Chang
2021	J	`jnl`	Hierarchical Curriculum Learning for AMR Parsing. CoRR Peiyi Wang, Liang Chen, Tianyu Liu, Baobao Chang, Zhifang Sui
2021	J	`jnl`	Incorporating Connections Beyond Knowledge Embeddings: A Plug-and-Play Module to Enhance Commonsense Reasoning in Machine Reading Comprehension. CoRR Damai Dai, Hua Zheng, Zhifang Sui, Baobao Chang
2021	—	`conf`	Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. RepL4NLP@ACL-IJCNLP Damai Dai, Hua Zheng, Fuli Luo, Pengcheng Yang, Baobao Chang, Zhifang Sui
2021	—	`conf`	Joint Multi-Decoder Framework with Hierarchical Pointer Network for Frame Semantic Parsing. ACL/IJCNLP (Findings) Xudong Chen, Ce Zheng, Baobao Chang
2021	J	`jnl`	Problems and Countermeasures in Natural Language Processing Evaluation. CoRR Qingxiu Dong, Zhifang Sui, Weidong Zhan, Baobao Chang
2021	—	`conf`	Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning. EMNLP (1) Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang
2021	J	`jnl`	Raise a Child in Large Language Model: Towards Effective and Generalizable Fine-tuning. CoRR Runxin Xu, Fuli Luo, Zhiyuan Zhang, Chuanqi Tan, Baobao Chang, Songfang Huang, Fei Huang
2021	—	`conf`	SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction. ACL/IJCNLP (Findings) Shuang Zeng, Yuting Wu, Baobao Chang
2021	J	`jnl`	SIRE: Separate Intra- and Inter-sentential Reasoning for Document-level Relation Extraction. CoRR Shuang Zeng, Yuting Wu, Baobao Chang
2021	A*	`conf`	Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. AAAI Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui
2021	J	`jnl`	Towards Faithfulness in Open Domain Table-to-text Generation from an Entity-centric View. CoRR Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui
2020	—	`conf`	A Spectral Method for Unsupervised Multi-Document Summarization. EMNLP (1) Kexiang Wang, Baobao Chang, Zhifang Sui
2020	B	`conf`	An Anchor-Based Automatic Evaluation Metric for Document Summarization. COLING Kexiang Wang, Tianyu Liu, Baobao Chang, Zhifang Sui
2020	B	`conf`	An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference. CoNLL Tianyu Liu, Xin Zheng, Xiaoan Ding, Baobao Chang, Zhifang Sui
2020	J	`jnl`	An Empirical Study on Model-agnostic Debiasing Strategies for Robust Natural Language Inference. CoRR Tianyu Liu, Xin Zheng, Xiaoan Ding, Baobao Chang, Zhifang Sui
2020	—	`conf`	Building a Pediatric Medical Corpus: Word Segmentation and Named Entity Annotation. CLSW Hongying Zan, Wenxin Li, Kunli Zhang, Yajuan Ye, Baobao Chang, Zhifang Sui
2020	J	`jnl`	Coarse-to-Fine Entity Representations for Document-level Relation Extraction. CoRR Damai Dai, Jing Ren, Shuang Zeng, Baobao Chang, Zhifang Sui
2020	—	`conf`	Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. EMNLP (1) Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel
2020	J	`jnl`	Discriminatively-Tuned Generative Classifiers for Robust Natural Language Inference. CoRR Xiaoan Ding, Tianyu Liu, Baobao Chang, Zhifang Sui, Kevin Gimpel
2020	—	`conf`	Double Graph Based Reasoning for Document-level Relation Extraction. EMNLP (1) Shuang Zeng, Runxin Xu, Baobao Chang, Lei Li
2020	J	`jnl`	Double Graph Based Reasoning for Document-level Relation Extraction. CoRR Shuang Zeng, Runxin Xu, Baobao Chang, Lei Li
2020	J	`jnl`	Generating Math Word Problems from Equations with Topic Controlling and Commonsense Enforcement. CoRR Tianyang Cao, Shuang Zeng, Songge Zhao, Mairgup Mansur, Baobao Chang
2020	B	`conf`	HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. LREC Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui
2020	J	`jnl`	HypoNLI: Exploring the Artificial Patterns of Hypothesis-only Bias in Natural Language Inference. CoRR Tianyu Liu, Xin Zheng, Baobao Chang, Zhifang Sui
2020	J	`jnl`	Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions. CoRR Damai Dai, Hua Zheng, Fuli Luo, Pengcheng Yang, Baobao Chang, Zhifang Sui
2020	A*	`conf`	Interactive Neural Network: Leveraging Part-of-Speech Window for Aspect Term Extraction (Student Abstract). AAAI Da Yin, Xiuyu Wu, Baobao Chang
2020	A	`conf`	Soap: Soaking Capacity Optimization for Multi-Document Summarization. CIKM Kexiang Wang, Baobao Chang, Zhifang Sui
2019	A*	`conf`	A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. IJCAI Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Xu Sun, Zhifang Sui
2019	J	`jnl`	A Dual Reinforcement Learning Framework for Unsupervised Text Style Transfer. CoRR Fuli Luo, Peng Li, Jie Zhou, Pengcheng Yang, Baobao Chang, Zhifang Sui, Xu Sun
2019	—	`conf`	A Soft Label Strategy for Target-Level Sentiment Classification. WASSA@NAACL-HLT Da Yin, Xiao Liu, Xiuyu Wu, Baobao Chang
2019	A*	`conf`	Hierarchical Encoder with Auxiliary Supervision for Neural Table-to-Text Generation: Learning Better Representation for Tables. AAAI Tianyu Liu, Fuli Luo, Qiaolin Xia, Shuming Ma, Baobao Chang, Zhifang Sui
2019	—	`conf`	Learning to Control the Fine-grained Sentiment for Story Ending Generation. ACL (1) Fuli Luo, Damai Dai, Pengcheng Yang, Tianyu Liu, Baobao Chang, Zhifang Sui, Xu Sun
2019	—	`conf`	Pun-GAN: Generative Adversarial Network for Pun Generation. EMNLP/IJCNLP (1) Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui, Xu Sun
2019	J	`jnl`	Pun-GAN: Generative Adversarial Network for Pun Generation. CoRR Fuli Luo, Shunyao Li, Pengcheng Yang, Lei Li, Baobao Chang, Zhifang Sui, Xu Sun
2019	—	`conf`	Towards Comprehensive Description Generation from Factual Attribute-value Tables. ACL (1) Tianyu Liu, Fuli Luo, Pengcheng Yang, Wei Wu, Baobao Chang, Zhifang Sui
2019	—	`conf`	Towards Fine-grained Text Sentiment Transfer. ACL (1) Fuli Luo, Peng Li, Pengcheng Yang, Jie Zhou, Yutong Tan, Baobao Chang, Zhifang Sui, Xu Sun
2018	A*	`conf`	A Multi-View Fusion Neural Network for Answer Selection. AAAI Lei Sha, Xiaodong Zhang, Feng Qian, Baobao Chang, Zhifang Sui
2018	—	`conf`	A Research on Construction of Knowledge Fusion Network in Chinese and English Languages. CLSW Odmaa Byambasuren, Zhifang Sui, Baobao Chang
2018	B	`conf`	EventWiki: A Knowledge Base of Major Events. LREC Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou
2018	A*	`conf`	Fine-grained Coordinated Cross-lingual Text Stream Alignment for Endless Language Knowledge Acquisition. EMNLP Tao Ge, Qing Dou, Heng Ji, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou
2018	A*	`conf`	Improved Dependency Parsing using Implicit Word Connections Learned from Unlabeled Data. EMNLP Wenhui Wang, Baobao Chang, Mairgup Mansur
2018	—	`conf`	Incorporating Glosses into Neural Word Sense Disambiguation. ACL (1) Fuli Luo, Tianyu Liu, Qiaolin Xia, Baobao Chang, Zhifang Sui
2018	J	`jnl`	Incorporating Glosses into Neural Word Sense Disambiguation. CoRR Fuli Luo, Tianyu Liu, Qiaolin Xia, Baobao Chang, Zhifang Sui
2018	A*	`conf`	Jointly Extracting Event Triggers and Arguments by Dependency-Bridge RNN and Tensor-Based Argument Interaction. AAAI Lei Sha, Feng Qian, Baobao Chang, Zhifang Sui
2018	A*	`conf`	Leveraging Gloss Knowledge in Neural Word Sense Disambiguation by Hierarchical Co-Attention. EMNLP Fuli Luo, Tianyu Liu, Zexue He, Qiaolin Xia, Zhifang Sui, Baobao Chang
2018	A*	`conf`	Order-Planning Neural Text Generation From Structured Data. AAAI Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui
2018	—	`conf`	SeRI: A Dataset for Sub-event Relation Inference from an Encyclopedia. NLPCC (2) Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Furu Wei, Ming Zhou
2018	A*	`conf`	Table-to-Text Generation by Structure-Aware Seq2seq Learning. AAAI Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui
2017	—	`conf`	A Progressive Learning Approach to Chinese SRL Using Heterogeneous Data. ACL (1) Qiaolin Xia, Lei Sha, Baobao Chang, Zhifang Sui
2017	A*	`conf`	A Soft-label Method for Noise-tolerant Distantly Supervised Relation Extraction. EMNLP Tianyu Liu, Kexiang Wang, Baobao Chang, Zhifang Sui
2017	A*	`conf`	Affinity-Preserving Random Walk for Multi-Document Summarization. EMNLP Kexiang Wang, Tianyu Liu, Zhifang Sui, Baobao Chang
2017	—	`ed.`	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 CCL Maosong Sun, Xiaojie Wang, Baobao Chang, Deyi Xiong
2017	—	`conf`	Gated Self-Matching Networks for Reading Comprehension and Question Answering. ACL (1) Wenhui Wang, Nan Yang, Furu Wei, Baobao Chang, Ming Zhou
2017	—	`conf`	Large-Scale Simple Question Generation by Template-Based Seq2seq Learning. NLPCC Tianyu Liu, Bingzhen Wei, Baobao Chang, Zhifang Sui
2017	J	`jnl`	Order-Planning Neural Text Generation From Structured Data. CoRR Lei Sha, Lili Mou, Tianyu Liu, Pascal Poupart, Sujian Li, Baobao Chang, Zhifang Sui
2017	J	`jnl`	Syntax Aware LSTM Model for Chinese Semantic Role Labeling. CoRR Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang
2017	—	`conf`	Syntax Aware LSTM model for Semantic Role Labeling. SPNLP@EMNLP Feng Qian, Lei Sha, Baobao Chang, Luchen Liu, Ming Zhang
2017	J	`jnl`	Table-to-text Generation by Structure-aware Seq2seq Learning. CoRR Tianyu Liu, Kexiang Wang, Lei Sha, Baobao Chang, Zhifang Sui
2016	J	`jnl`	Aligning Coordinated Text Streams through Burst Information Network Construction and Decipherment. CoRR Tao Ge, Qing Dou, Xiaoman Pan, Heng Ji, Lei Cui, Baobao Chang, Zhifang Sui, Ming Zhou
2016	A*	`conf`	Capturing Argument Relationship for Chinese Semantic Role Labeling. EMNLP Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang
2016	A*	`conf`	Discourse Parsing with Attention-based Hierarchical Neural Networks. EMNLP Qi Li, Tianshi Li, Baobao Chang
2016	—	`conf`	Discovering Concept-Level Event Associations from a Text Stream. NLPCC/ICCPOL Tao Ge, Lei Cui, Heng Ji, Baobao Chang, Zhifang Sui
2016	A*	`conf`	Encoding Temporal Information for Time-Aware Link Prediction. EMNLP Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui
2016	B	`conf`	Event Detection with Burst Information Networks. COLING Tao Ge, Lei Cui, Baobao Chang, Zhifang Sui, Ming Zhou
2016	—	`conf`	Graph-based Dependency Parsing with Bidirectional LSTM. ACL (1) Wenhui Wang, Baobao Chang
2016	—	`conf`	Improved Graph-Based Dependency Parsing via Hierarchical LSTM Networks. CCL Wenhui Wang, Baobao Chang
2016	—	`conf`	Improving Chinese Semantic Role Labeling with English Proposition Bank. CCL Tianshi Li, Qi Li, Baobao Chang
2016	—	`conf`	Joint Learning Templates and Slots for Event Schema Induction. HLT-NAACL Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui
2016	J	`jnl`	Joint Learning Templates and Slots for Event Schema Induction. CoRR Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui
2016	—	`conf`	Learning Word Sense Embeddings from Word Sense Definitions. NLPCC/ICCPOL Qi Li, Tianshi Li, Baobao Chang
2016	J	`jnl`	Multi-phase Word Sense Embedding Learning Using a Corpus and a Lexical Ontology. CoRR Qi Li, Tianshi Li, Baobao Chang
2016	A*	`conf`	News Stream Summarization using Burst Information Networks. EMNLP Tao Ge, Lei Cui, Baobao Chang, Sujian Li, Ming Zhou, Zhifang Sui
2016	—	`conf`	RBPB: Regularization-Based Pattern Balancing Method for Event Extraction. ACL (1) Lei Sha, Jing Liu, Chin-Yew Lin, Sujian Li, Baobao Chang, Zhifang Sui
2016	B	`conf`	Reading and Thinking: Re-read LSTM Unit for Textual Entailment Recognition. COLING Lei Sha, Baobao Chang, Zhifang Sui, Sujian Li
2016	—	`conf`	Recognizing Textual Entailment via Multi-task Knowledge Assisted LSTM. CCL Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui
2016	B	`conf`	Towards Time-Aware Knowledge Graph Completion. COLING Tingsong Jiang, Tianyu Liu, Tao Ge, Lei Sha, Baobao Chang, Sujian Li, Zhifang Sui
2015	—	`conf`	A Neural Network Based Translation Constrained Reranking Model for Chinese Dependency Parsing. CCL Miaohong Chen, Baobao Chang, Yang Liu
2015	—	`conf`	An Effective Neural Network Model for Graph-based Dependency Parsing. ACL (1) Wenzhe Pei, Tao Ge, Baobao Chang
2015	A*	`conf`	An Ontology Matching Approach Based on Affinity-Preserving Random Walks. IJCAI Chuncheng Xiang, Baobao Chang, Zhifang Sui
2015	—	`conf`	Bring you to the past: Automatic Generation of Topically Relevant Event Chronicles. ACL (1) Tao Ge, Wenzhe Pei, Heng Ji, Sujian Li, Baobao Chang, Zhifang Sui
2015	A*	`conf`	Chinese Semantic Role Labeling with Bidirectional Recurrent Neural Networks. EMNLP Zhen Wang, Tingsong Jiang, Baobao Chang, Zhifang Sui
2015	—	`conf`	Distantly Supervised Neural Network Model for Relation Extraction. CCL Zhen Wang, Baobao Chang, Zhifang Sui
2015	C	`conf`	Distinguishing Specific and Daily Topics. APWeb Tao Ge, Wenzhe Pei, Baobao Chang, Zhifang Sui
2015	A*	`conf`	ERSOM: A Structural Ontology Matching Approach Using Automatically Learned Entity Representation. EMNLP Chuncheng Xiang, Tingsong Jiang, Baobao Chang, Zhifang Sui
2015	—	`conf`	Graph-Based Dependency Parsing with Recursive Neural Network. CCL Pingping Huang, Baobao Chang
2015	A*	`conf`	Multi-label Text Categorization with Joint Learning Predictions-as-Features Method. EMNLP Li Li, Houfeng Wang, Xu Sun, Baobao Chang, Shi Zhao, Lei Sha
2015	—	`conf`	One Tense per Scene: Predicting Tense in Chinese Conversations. ACL (2) Tao Ge, Heng Ji, Baobao Chang, Zhifang Sui
2015	A*	`conf`	Recognizing Textual Entailment Using Probabilistic Inference. EMNLP Lei Sha, Sujian Li, Baobao Chang, Zhifang Sui, Tingsong Jiang
2015	—	`conf`	Semantic Role Labeling Using Recursive Neural Network. CCL Tianshi Li, Baobao Chang
2014	A*	`conf`	A Joint Model for Unsupervised Chinese Word Segmentation. EMNLP Miaohong Chen, Baobao Chang, Wenzhe Pei
2014	B	`conf`	Inducing Word Sense with Automatically Learned Hidden Concepts. COLING Baobao Chang, Wenzhe Pei, Miaohong Chen
2014	—	`conf`	Max-Margin Tensor Neural Network for Chinese Word Segmentation. ACL (1) Wenzhe Pei, Tao Ge, Baobao Chang
2014	—	`conf`	SSMT: A Machine Translation Evaluation View To Paragraph-to-Sentence Semantic Similarity. SemEval@COLING Pingping Huang, Baobao Chang
2013	—	`conf`	A Maximum Entropy Approach to Chinese Spelling Check. SIGHAN@IJCNLP Dongxu Han, Baobao Chang
2013	—	`conf`	A Refined HDP-Based Model for Unsupervised Chinese Word Segmentation. CCL Wenzhe Pei, Dongxu Han, Baobao Chang
2013	A*	`conf`	A novel topic model for automatic term extraction. SIGIR Sujian Li, Jiwei Li, Tao Song, Wenjie Li, Baobao Chang
2013	A*	`conf`	Event-Based Time Label Propagation for Automatic Dating of News Articles. EMNLP Tao Ge, Baobao Chang, Sujian Li, Zhifang Sui
2013	A	`conf`	Exploiting collaborative filtering techniques for automatic assessment of student free-text responses. CIKM Tao Ge, Zhifang Sui, Baobao Chang
2013	B	`conf`	Feature-based Neural Language Model and Chinese Word Segmentation. IJCNLP Mairgup Mansur, Wenzhe Pei, Baobao Chang
2012	B	`conf`	Update Summarization using a Multi-level Hierarchical Dirichlet Process Model. COLING Jiwei Li, Sujian Li, Xun Wang, Ye Tian, Baobao Chang
2011	J	`jnl`	A Method of Automatic Translation of Words of Multiple Affixes In Scientific Literature. Int. J. Asian Lang. Process. Lei Wang, Baobao Chang, Janet Harkness
2010	—	`conf`	A Method of Automatic Translation of Words of Multiple Affixes in Scientific Literature. IALP Lei Wang, Baobao Chang, Janet Harkness
2010	—	`conf`	Chinese word segmentation model using bootstrapping. CIPS-SIGHAN Baobao Chang, Mairgup Mansur
2010	A*	`conf`	Enhancing Domain Portability of Chinese Segmentation Model Using Chi-Square Statistics and Bootstrapping. EMNLP Baobao Chang, Dongxu Han
2010	—	`conf`	Training MT Model Using Structural SVM. IALP Tiansang Du, Baobao Chang
2009	—	`conf`	Applying tree kernel to Chinese syntactic parsing reranking. NLPKE Xiaodong Zheng, Liang Chen, Baobao Chang
2009	—	`conf`	Fast Semantic Role Labeling for Chinese Based on Semantic Chunking. ICCPOL Weiwei Ding, Baobao Chang
2009	J	`jnl`	Word Based Chinese Semantic Role Labeling with Semantic Chunking. Int. J. Comput. Process. Orient. Lang. Weiwei Ding, Baobao Chang
2008	—	`conf`	Bootstrapping word alignment by automatically generated bilingual dictionary. NLPKE Danqing Zhu, Baobao Chang
2008	A*	`conf`	Improving Chinese Semantic Role Classification with Hierarchical Feature Selection Strategy. EMNLP Weiwei Ding, Baobao Chang
2005	B	`conf`	Extracting Terminologically Relevant Collocations in the Translation of Chinese Monograph. IJCNLP Byeong Kwu Kang, Baobao Chang, Yi-Rong Chen, Shiwen Yu
2004	C	`conf`	Chinese-English Parallel Corpus Construction and its Application. PACLIC Baobao Chang
2003	—	`conf`	Chinese Word Segmentation at Peking University. SIGHAN Huiming Duan, Xiaojing Bai, Baobao Chang, Shiwen Yu
2003	J	`jnl`	Specification for Corpus Processing at Peking University: Word Segmentation, POS Tagging and Phonetic Notation. J. Chin. Lang. Comput. Shiwen Yu, Huiming Duan, Bin Swen, Baobao Chang
2003	J	`jnl`	The Markup Guidelines for the Chinese-English Parallel Corpus of Peking University. J. Chin. Lang. Comput. Baobao Chang, Xiaojing Bai
2002	—	`conf`	Extraction of Translation Unit from Chinese-English Parallel Corpora. SIGHAN@COLING Baobao Chang, Pernilla Danielsson, Wolfgang Teubert