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2020 – today
- 2024
- [c62]Tao Feng, Lizhen Qu, Zhuang Li, Haolan Zhan, Yuncheng Hua, Gholamreza Haffari:
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models. ACL (1) 2024: 2625-2639 - [c61]Zhuo Zhang, Jintao Huang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Yue Yu, Qifan Wang, Lizhen Qu, Zenglin Xu:
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding. LREC/COLING 2024: 14080-14091 - [c60]Chuang Lin, Yi Jiang, Lizhen Qu, Zehuan Yuan, Jianfei Cai:
Generative Region-Language Pretraining for Open-Ended Object Detection. CVPR 2024: 13958-13968 - [c59]Minghao Wu, Yufei Wang, George F. Foster, Lizhen Qu, Gholamreza Haffari:
Importance-Aware Data Augmentation for Document-Level Neural Machine Translation. EACL (1) 2024: 740-752 - [c58]Haolan Zhan, Yufei Wang, Zhuang Li, Tao Feng, Yuncheng Hua, Suraj Sharma, Lizhen Qu, Zhaleh Semnani-Azad, Ingrid Zukerman, Reza Haffari:
Let's Negotiate! A Survey of Negotiation Dialogue Systems. EACL (Findings) 2024: 2019-2031 - [c57]Yuncheng Hua, Lizhen Qu, Reza Haf:
Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues. EMNLP (Findings) 2024: 8047-8074 - [c56]Yuncheng Hua, Yujin Huang, Shuo Huang, Tao Feng, Lizhen Qu, Christopher Bain, Richard Bassed, Reza Haf:
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction. EMNLP (Findings) 2024: 8139-8156 - [c55]Hao Yang, Lizhen Qu, Ehsan Shareghi, Reza Haf:
Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights. EMNLP 2024: 10957-10973 - [c54]Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Reza Haf:
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. EMNLP 2024: 14226-14240 - [c53]Manh Luong, Khai Nguyen, Nhat Ho, Gholamreza Haffari, Dinh Phung, Lizhen Qu:
Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation. ICLR 2024 - [c52]Xianbing Zhao, Lizhen Qu, Tao Feng, Jianfei Cai, Buzhou Tang:
Learning in Order! A Sequential Strategy to Learn Invariant Features for Multimodal Sentiment Analysis. ACM Multimedia 2024: 9729-9738 - [c51]Haolan Zhan, Zhuang Li, Xiaoxi Kang, Tao Feng, Yuncheng Hua, Lizhen Qu, Yi Ying, Mei Rianto Chandra, Kelly Rosalin, Jureynolds Jureynolds, Suraj Sharma, Shilin Qu, Linhao Luo, Ingrid Zukerman, Lay-Ki Soon, Zhaleh Semnani-Azad, Gholamreza Haffari:
RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations. NAACL-HLT (Findings) 2024: 3104-3117 - [i58]Minghao Wu, Thuy-Trang Vu, Lizhen Qu, George F. Foster, Gholamreza Haffari:
Adapting Large Language Models for Document-Level Machine Translation. CoRR abs/2401.06468 (2024) - [i57]Minghao Wu, Yufei Wang, George F. Foster, Lizhen Qu, Gholamreza Haffari:
Importance-Aware Data Augmentation for Document-Level Neural Machine Translation. CoRR abs/2401.15360 (2024) - [i56]Haolan Zhan, Yufei Wang, Tao Feng, Yuncheng Hua, Suraj Sharma, Zhuang Li, Lizhen Qu, Zhaleh Semnani-Azad, Ingrid Zukerman, Gholamreza Haffari:
Let's Negotiate! A Survey of Negotiation Dialogue Systems. CoRR abs/2402.01097 (2024) - [i55]Yuncheng Hua, Zhuang Li, Linhao Luo, Kadek Ananta Satriadi, Tao Feng, Haolan Zhan, Lizhen Qu, Suraj Sharma, Ingrid Zukerman, Zhaleh Semnani-Azad, Gholamreza Haffari:
SADAS: A Dialogue Assistant System Towards Remediating Norm Violations in Bilingual Socio-Cultural Conversations. CoRR abs/2402.01736 (2024) - [i54]Yuncheng Hua, Lizhen Qu, Gholamreza Haffari:
Assistive Large Language Model Agents for Socially-Aware Negotiation Dialogues. CoRR abs/2402.01737 (2024) - [i53]Haolan Zhan, Zhuang Li, Xiaoxi Kang, Tao Feng, Yuncheng Hua, Lizhen Qu, Yi Ying, Mei Rianto Chandra, Kelly Rosalin, Jureynolds Jureynolds, Suraj Sharma, Shilin Qu, Linhao Luo, Lay-Ki Soon, Zhaleh Semnani-Azad, Ingrid Zukerman, Gholamreza Haffari:
RENOVI: A Benchmark Towards Remediating Norm Violations in Socio-Cultural Conversations. CoRR abs/2402.11178 (2024) - [i52]Zhuo Zhang, Jingyuan Zhang, Jintao Huang, Lizhen Qu, Hongzhi Zhang, Zenglin Xu:
FedPIT: Towards Privacy-preserving and Few-shot Federated Instruction Tuning. CoRR abs/2403.06131 (2024) - [i51]Chuang Lin, Yi Jiang, Lizhen Qu, Zehuan Yuan, Jianfei Cai:
Generative Region-Language Pretraining for Open-Ended Object Detection. CoRR abs/2403.10191 (2024) - [i50]Tao Feng, Lizhen Qu, Zhuang Li, Haolan Zhan, Yuncheng Hua, Gholamreza Haffari:
IMO: Greedy Layer-Wise Sparse Representation Learning for Out-of-Distribution Text Classification with Pre-trained Models. CoRR abs/2404.13504 (2024) - [i49]Ilia Kuznetsov, Osama Mohammed Afzal, Koen Dercksen, Nils Dycke, Alexander Goldberg, Tom Hope, Dirk Hovy, Jonathan K. Kummerfeld, Anne Lauscher, Kevin Leyton-Brown, Sheng Lu, Mausam, Margot Mieskes, Aurélie Névéol, Danish Pruthi, Lizhen Qu, Roy Schwartz, Noah A. Smith, Thamar Solorio, Jingyan Wang, Xiaodan Zhu, Anna Rogers, Nihar B. Shah, Iryna Gurevych:
What Can Natural Language Processing Do for Peer Review? CoRR abs/2405.06563 (2024) - [i48]Manh Luong, Khai Nguyen, Nhat Ho, Gholamreza Haffari, Dinh Q. Phung, Lizhen Qu:
Revisiting Deep Audio-Text Retrieval Through the Lens of Transportation. CoRR abs/2405.10084 (2024) - [i47]Shuo Huang, William MacLean, Xiaoxi Kang, Anqi Wu, Lizhen Qu, Qiongkai Xu, Zhuang Li, Xingliang Yuan, Gholamreza Haffari:
NAP^2: A Benchmark for Naturalness and Privacy-Preserving Text Rewriting by Learning from Human. CoRR abs/2406.03749 (2024) - [i46]Minghao Wu, Thuy-Trang Vu, Lizhen Qu, Gholamreza Haffari:
Mixture-of-Skills: Learning to Optimize Data Usage for Fine-Tuning Large Language Models. CoRR abs/2406.08811 (2024) - [i45]Zhuang Li, Yuncheng Hua, Thuy-Trang Vu, Haolan Zhan, Lizhen Qu, Gholamreza Haffari:
SCAR: Efficient Instruction-Tuning for Large Language Models via Style Consistency-Aware Response Ranking. CoRR abs/2406.10882 (2024) - [i44]Xiaoxi Kang, Lizhen Qu, Lay-Ki Soon, Zhuang Li, Adnan Trakic:
Bridging Law and Data: Augmenting Reasoning via a Semi-Structured Dataset with IRAC methodology. CoRR abs/2406.13217 (2024) - [i43]Yuncheng Hua, Yujin Huang, Shuo Huang, Tao Feng, Lizhen Qu, Chris Bain, Richard Bassed, Gholamreza Haffari:
Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction. CoRR abs/2406.15490 (2024) - [i42]Tao Feng, Lizhen Qu, Xiaoxi Kang, Gholamreza Haffari:
CausalScore: An Automatic Reference-Free Metric for Assessing Response Relevance in Open-Domain Dialogue Systems. CoRR abs/2406.17300 (2024) - [i41]Hao Yang, Lizhen Qu, Ehsan Shareghi, Gholamreza Haffari:
Towards Probing Speech-Specific Risks in Large Multimodal Models: A Taxonomy, Benchmark, and Insights. CoRR abs/2406.17430 (2024) - [i40]Tao Feng, Lizhen Qu, Niket Tandon, Zhuang Li, Xiaoxi Kang, Gholamreza Haffari:
From Pre-training Corpora to Large Language Models: What Factors Influence LLM Performance in Causal Discovery Tasks? CoRR abs/2407.19638 (2024) - [i39]Samuel Reinders, Matthew Butler, Ingrid Zukerman, Bongshin Lee, Lizhen Qu, Kim Marriott:
When Refreshable Tactile Displays Meet Conversational Agents: Investigating Accessible Data Presentation and Analysis with Touch and Speech. CoRR abs/2408.04806 (2024) - [i38]Xianbing Zhao, Lizhen Qu, Tao Feng, Jianfei Cai, Buzhou Tang:
Learning in Order! A Sequential Strategy to Learn Invariant Features for Multimodal Sentiment Analysis. CoRR abs/2409.04473 (2024) - [i37]Zhixi Cai, Cristian Rojas Cardenas, Kevin Leo, Chenyuan Zhang, Kal Backman, Hanbing Li, Boying Li, Mahsa Ghorbanali, Stavya Datta, Lizhen Qu, Julian Gutierrez Santiago, Alexey Ignatiev, Yuan-Fang Li, Mor Vered, Peter J. Stuckey, Maria Garcia de la Banda, Hamid Rezatofighi:
NEUSIS: A Compositional Neuro-Symbolic Framework for Autonomous Perception, Reasoning, and Planning in Complex UAV Search Missions. CoRR abs/2409.10196 (2024) - [i36]Jiaxiang Chen, Song Wang, Zhucong Li, Wayne Xiong, Lizhen Qu, Zenglin Xu, Yuan Qi:
Can we only use guideline instead of shot in prompt? CoRR abs/2409.12979 (2024) - [i35]Shilin Qu, Weiqing Wang, Xin Zhou, Haolan Zhan, Zhuang Li, Lizhen Qu, Linhao Luo, Yuan-Fang Li, Gholamreza Haffari:
Scalable Frame-based Construction of Sociocultural NormBases for Socially-Aware Dialogues. CoRR abs/2410.03049 (2024) - 2023
- [j4]Tao Feng, Lizhen Qu, Gholamreza Haffari:
Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery. Trans. Assoc. Comput. Linguistics 11: 511-530 (2023) - [c50]Zhuo Zhang, Xiangjing Hu, Jingyuan Zhang, Yating Zhang, Hui Wang, Lizhen Qu, Zenglin Xu:
FEDLEGAL: The First Real-World Federated Learning Benchmark for Legal NLP. ACL (1) 2023: 3492-3507 - [c49]Zhuang Li, Yuyang Chai, Terry Yue Zhuo, Lizhen Qu, Gholamreza Haffari, Fei Li, Donghong Ji, Quan Hung Tran:
FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing. ACL (Findings) 2023: 6377-6390 - [c48]Zhuang Li, Lizhen Qu, Philip R. Cohen, Raj Tumuluri, Gholamreza Haffari:
The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning. ACL (1) 2023: 9511-9528 - [c47]Zhuo Zhang, Yuanhang Yang, Yong Dai, Qifan Wang, Yue Yu, Lizhen Qu, Zenglin Xu:
FedPETuning: When Federated Learning Meets the Parameter-Efficient Tuning Methods of Pre-trained Language Models. ACL (Findings) 2023: 9963-9977 - [c46]Haolan Zhan, Sameen Maruf, Lizhen Qu, Yufei Wang, Ingrid Zukerman, Gholamreza Haffari:
Turning Flowchart into Dialog: Augmenting Flowchart-grounded Troubleshooting Dialogs via Synthetic Data Generation. ALTA 2023: 88-99 - [c45]Minghao Wu, George F. Foster, Lizhen Qu, Gholamreza Haffari:
Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation. EACL 2023: 448-462 - [c44]Terry Yue Zhuo, Yaqing Liao, Yuecheng Lei, Lizhen Qu, Gerard de Melo, Xiaojun Chang, Yazhou Ren, Zenglin Xu:
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities. EACL (Findings) 2023: 2147-2162 - [c43]Tongxin Hu, Zhuang Li, Xin Jin, Lizhen Qu, Xin Zhang:
TMID: A Comprehensive Real-world Dataset for Trademark Infringement Detection in E-Commerce. EMNLP (Industry Track) 2023: 176-184 - [c42]Shuo Huang, Lizhen Qu, Xingliang Yuan, Chunyang Chen:
FaLA: Fast Linear Adaptation for Replacing Backbone Models on Edge Devices. EMNLP (Findings) 2023: 4874-4885 - [c41]Xiaoxi Kang, Lizhen Qu, Lay-Ki Soon, Adnan Trakic, Terry Yue Zhuo, Patrick Charles Emerton, Genevieve Grant:
Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer? EMNLP (Findings) 2023: 13900-13923 - [c40]Bhanu Prakash Voutharoja, Lizhen Qu, Fatemeh Shiri:
Language Independent Neuro-Symbolic Semantic Parsing for Form Understanding. ICDAR (2) 2023: 130-146 - [c39]Chuang Lin, Peize Sun, Yi Jiang, Ping Luo, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan, Jianfei Cai:
Learning Object-Language Alignments for Open-Vocabulary Object Detection. ICLR 2023 - [c38]Haolan Zhan, Zhuang Li, Yufei Wang, Linhao Luo, Tao Feng, Xiaoxi Kang, Yuncheng Hua, Lizhen Qu, Lay-Ki Soon, Suraj Sharma, Ingrid Zukerman, Zhaleh Semnani-Azad, Gholamreza Haffari:
SocialDial: A Benchmark for Socially-Aware Dialogue Systems. SIGIR 2023: 2712-2722 - [i34]Minghao Wu, George F. Foster, Lizhen Qu, Gholamreza Haffari:
Document Flattening: Beyond Concatenating Context for Document-Level Neural Machine Translation. CoRR abs/2302.08079 (2023) - [i33]Tao Feng, Lizhen Qu, Gholamreza Haffari:
Less is More: Mitigate Spurious Correlations for Open-Domain Dialogue Response Generation Models by Causal Discovery. CoRR abs/2303.01962 (2023) - [i32]Haolan Zhan, Zhuang Li, Yufei Wang, Linhao Luo, Tao Feng, Xiaoxi Kang, Yuncheng Hua, Lizhen Qu, Lay-Ki Soon, Suraj Sharma, Ingrid Zukerman, Zhaleh Semnani-Azad, Gholamreza Haffari:
SocialDial: A Benchmark for Socially-Aware Dialogue Systems. CoRR abs/2304.12026 (2023) - [i31]Haolan Zhan, Sameen Maruf, Lizhen Qu, Yufei Wang, Ingrid Zukerman, Gholamreza Haffari:
Turning Flowchart into Dialog: Plan-based Data Augmentation for Low-Resource Flowchart-grounded Troubleshooting Dialogs. CoRR abs/2305.01323 (2023) - [i30]Bhanu Prakash Voutharoja, Lizhen Qu, Fatemeh Shiri:
Language Independent Neuro-Symbolic Semantic Parsing for Form Understanding. CoRR abs/2305.04460 (2023) - [i29]Zhuang Li, Lizhen Qu, Philip R. Cohen, Raj V. Tumuluri, Gholamreza Haffari:
The Best of Both Worlds: Combining Human and Machine Translations for Multilingual Semantic Parsing with Active Learning. CoRR abs/2305.12737 (2023) - [i28]Zhuang Li, Yuyang Chai, Terry Yue Zhuo, Lizhen Qu, Gholamreza Haffari, Fei Li, Donghong Ji, Quan Hung Tran:
FACTUAL: A Benchmark for Faithful and Consistent Textual Scene Graph Parsing. CoRR abs/2305.17497 (2023) - [i27]Xiaoxi Kang, Lizhen Qu, Lay-Ki Soon, Adnan Trakic, Terry Yue Zhuo, Patrick Charles Emerton, Genevieve Grant:
Can ChatGPT Perform Reasoning Using the IRAC Method in Analyzing Legal Scenarios Like a Lawyer? CoRR abs/2310.14880 (2023) - [i26]Tongxin Hu, Zhuang Li, Xin Jin, Lizhen Qu, Xin Zhang:
TMID: A Comprehensive Real-world Dataset for Trademark Infringement Detection in E-Commerce. CoRR abs/2312.05103 (2023) - 2022
- [j3]Shigang Liu, Guanjun Lin, Lizhen Qu, Jun Zhang, Olivier Y. de Vel, Paul Montague, Yang Xiang:
CD-VulD: Cross-Domain Vulnerability Discovery Based on Deep Domain Adaptation. IEEE Trans. Dependable Secur. Comput. 19(1): 438-451 (2022) - [c37]Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari:
Student Surpasses Teacher: Imitation Attack for Black-Box NLP APIs. COLING 2022: 2849-2860 - [c36]Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan:
Multimodal Transformer with Variable-Length Memory for Vision-and-Language Navigation. ECCV (36) 2022: 380-397 - [c35]Zhuo Zhang, Xiangjing Hu, Lizhen Qu, Qifan Wang, Zenglin Xu:
Federated Model Decomposition with Private Vocabulary for Text Classification. EMNLP 2022: 6413-6425 - [c34]Zhuang Li, Lizhen Qu, Qiongkai Xu, Tongtong Wu, Tianyang Zhan, Gholamreza Haffari:
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation. EMNLP 2022: 10335-10356 - [i25]Zhuang Li, Lizhen Qu, Qiongkai Xu, Tongtong Wu, Tianyang Zhan, Gholamreza Haffari:
Variational Autoencoder with Disentanglement Priors for Low-Resource Task-Specific Natural Language Generation. CoRR abs/2202.13363 (2022) - [i24]Terry Yue Zhuo, Yaqing Liao, Yuecheng Lei, Lizhen Qu, Gerard de Melo, Xiaojun Chang, Yazhou Ren, Zenglin Xu:
ViLPAct: A Benchmark for Compositional Generalization on Multimodal Human Activities. CoRR abs/2210.05556 (2022) - [i23]Chuang Lin, Peize Sun, Yi Jiang, Ping Luo, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan, Jianfei Cai:
Learning Object-Language Alignments for Open-Vocabulary Object Detection. CoRR abs/2211.14843 (2022) - [i22]Haolan Zhan, Yufei Wang, Tao Feng, Yuncheng Hua, Suraj Sharma, Zhuang Li, Lizhen Qu, Gholamreza Haffari:
Let's Negotiate! A Survey of Negotiation Dialogue Systems. CoRR abs/2212.09072 (2022) - [i21]Zhuo Zhang, Yuanhang Yang, Yong Dai, Lizhen Qu, Zenglin Xu:
When Federated Learning Meets Pre-trained Language Models' Parameter-Efficient Tuning Methods. CoRR abs/2212.10025 (2022) - 2021
- [j2]Suyu Ma, Zhenchang Xing, Chunyang Chen, Cheng Chen, Lizhen Qu, Guoqiang Li:
Easy-to-Deploy API Extraction by Multi-Level Feature Embedding and Transfer Learning. IEEE Trans. Software Eng. 47(10): 2296-2311 (2021) - [c33]Shuyi Cao, Lizhen Qu, Leimin Tian:
Causal Relationships Between Emotions and Dialog Acts. ACII 2021: 1-8 - [c32]Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Gholamreza Haffari, Mahsa Baktashmotlagh:
Neural-Symbolic Commonsense Reasoner with Relation Predictors. ACL/IJCNLP (2) 2021: 797-802 - [c31]Zhuang Li, Lizhen Qu, Shuo Huang, Gholamreza Haffari:
Few-Shot Semantic Parsing for New Predicates. EACL 2021: 1281-1291 - [c30]Shuo Huang, Zhuang Li, Lizhen Qu, Lei Pan:
On Robustness of Neural Semantic Parsers. EACL 2021: 3333-3342 - [c29]Zhuang Li, Lizhen Qu, Gholamreza Haffari:
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers. EMNLP (1) 2021: 3816-3831 - [c28]Sheng Bi, Xiya Cheng, Yuan-Fang Li, Lizhen Qu, Shirong Shen, Guilin Qi, Lu Pan, Yinlin Jiang:
Simple or Complex? Complexity-controllable Question Generation with Soft Templates and Deep Mixture of Experts Model. EMNLP (Findings) 2021: 4645-4654 - [c27]Qiongkai Xu, Chenchen Xu, Lizhen Qu:
Privacy Monitoring Service for Conversations. WSDM 2021: 1093-1096 - [i20]Zhuang Li, Lizhen Qu, Shuo Huang, Gholamreza Haffari:
Few-Shot Semantic Parsing for New Predicates. CoRR abs/2101.10708 (2021) - [i19]Shuo Huang, Zhuang Li, Lizhen Qu, Lei Pan:
On Robustness of Neural Semantic Parsers. CoRR abs/2102.01563 (2021) - [i18]Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Gholamreza Haffari, Mahsa Baktashmotlagh:
Neural-Symbolic Commonsense Reasoner with Relation Predictors. CoRR abs/2105.06717 (2021) - [i17]Qiongkai Xu, Xuanli He, Lingjuan Lyu, Lizhen Qu, Gholamreza Haffari:
Beyond Model Extraction: Imitation Attack for Black-Box NLP APIs. CoRR abs/2108.13873 (2021) - [i16]Zhuang Li, Lizhen Qu, Gholamreza Haffari:
Total Recall: a Customized Continual Learning Method for Neural Semantic Parsers. CoRR abs/2109.05186 (2021) - [i15]Sheng Bi, Xiya Cheng, Yuan-Fang Li, Lizhen Qu, Shirong Shen, Guilin Qi, Lu Pan, Yinlin Jiang:
Simple or Complex? Complexity-Controllable Question Generation with Soft Templates and Deep Mixture of Experts Model. CoRR abs/2110.06560 (2021) - [i14]Chuang Lin, Yi Jiang, Jianfei Cai, Lizhen Qu, Gholamreza Haffari, Zehuan Yuan:
Multimodal Transformer with Variable-length Memory for Vision-and-Language Navigation. CoRR abs/2111.05759 (2021) - 2020
- [c26]Yolande A. A. Strengers, Lizhen Qu, Qiongkai Xu, Jarrod Knibbe:
Adhering, Steering, and Queering: Treatment of Gender in Natural Language Generation. CHI 2020: 1-14 - [c25]Zhuang Li, Lizhen Qu, Gholamreza Haffari:
Context Dependent Semantic Parsing: A Survey. COLING 2020: 2509-2521 - [c24]Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Mahsa Baktashmotlagh, Gholamreza Haffari:
CosMo: Conditional Seq2Seq-based Mixture Model for Zero-Shot Commonsense Question Answering. COLING 2020: 5347-5359 - [c23]Qiongkai Xu, Lizhen Qu, Zeyu Gao, Gholamreza Haffari:
Personal Information Leakage Detection in Conversations. EMNLP (1) 2020: 6567-6580 - [i13]Farhad Moghimifar, Lizhen Qu, Yue Zhuo, Mahsa Baktashmotlagh, Gholamreza Haffari:
COSMO: Conditional SEQ2SEQ-based Mixture Model for Zero-Shot Commonsense Question Answering. CoRR abs/2011.00777 (2020) - [i12]Zhuang Li, Lizhen Qu, Gholamreza Haffari:
Context Dependent Semantic Parsing: A Survey. CoRR abs/2011.00797 (2020)
2010 – 2019
- 2019
- [c22]Ao Liu, Lizhen Qu, Junyu Lu, Chenbin Zhang, Zenglin Xu:
Machine Reading Comprehension: Matching and Orders. CIKM 2019: 2057-2060 - [c21]Qiongkai Xu, Chenchen Xu, Lizhen Qu:
ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation. EMNLP/IJCNLP (3) 2019: 13-18 - [c20]Tue Le, Tuan Nguyen, Trung Le, Dinh Q. Phung, Paul Montague, Olivier Y. de Vel, Lizhen Qu:
Maximal Divergence Sequential Autoencoder for Binary Software Vulnerability Detection. ICLR (Poster) 2019 - [c19]Van Nguyen, Trung Le, Tue Le, Khanh Nguyen, Olivier Y. DeVel, Paul Montague, Lizhen Qu, Dinh Q. Phung:
Deep Domain Adaptation for Vulnerable Code Function Identification. IJCNN 2019: 1-8 - [c18]Qiongkai Xu, Lizhen Qu, Chenchen Xu, Ran Cui:
Privacy-Aware Text Rewriting. INLG 2019: 247-257 - [i11]Qiongkai Xu, Chenchen Xu, Lizhen Qu:
ALTER: Auxiliary Text Rewriting Tool for Natural Language Generation. CoRR abs/1909.06564 (2019) - 2018
- [i10]Qiongkai Xu, Juyan Zhang, Lizhen Qu, Lexing Xie, Richard Nock:
D-PAGE: Diverse Paraphrase Generation. CoRR abs/1808.04364 (2018) - 2017
- [c17]Sunghwan Mac Kim, Qiongkai Xu, Lizhen Qu, Stephen Wan, Cécile Paris:
Demographic Inference on Twitter using Recursive Neural Networks. ACL (2) 2017: 471-477 - [c16]Qiongkai Xu, Qing Wang, Chenchen Xu, Lizhen Qu:
Attentive Graph-based Recursive Neural Network for Collective Vertex Classification. CIKM 2017: 2403-2406 - [c15]Giorgio Patrini, Alessandro Rozza, Aditya Krishna Menon, Richard Nock, Lizhen Qu:
Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach. CVPR 2017: 2233-2241 - [c14]Shijie Zhang, Lizhen Qu, Shaodi You, Zhenglu Yang, Jiawan Zhang:
Automatic Generation of Grounded Visual Questions. IJCAI 2017: 4235-4243 - [c13]Richard Nock, Zac Cranko, Aditya Krishna Menon, Lizhen Qu, Robert C. Williamson:
f-GANs in an Information Geometric Nutshell. NIPS 2017: 456-464 - [i9]Qiongkai Xu, Qing Wang, Chenchen Xu, Lizhen Qu:
Collective Vertex Classification Using Recursive Neural Network. CoRR abs/1701.06751 (2017) - [i8]Richard Nock, Zac Cranko, Aditya Krishna Menon, Lizhen Qu, Robert C. Williamson:
f-GANs in an Information Geometric Nutshell. CoRR abs/1707.04385 (2017) - 2016
- [c12]Zhuang Li, Lizhen Qu, Qiongkai Xu, Mark Johnson:
Unsupervised Pre-training With Seq2Seq Reconstruction Loss for Deep Relation Extraction Models. ALTA 2016: 54-64 - [c11]Cheng Yu, Bing Chu, Rohit Ram, James Aichinger, Lizhen Qu, Hanna Suominen:
Pairwise FastText Classifier for Entity Disambiguation. ALTA 2016: 175-179 - [c10]Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson:
Neighborhood Mixture Model for Knowledge Base Completion. CoNLL 2016: 40-50 - [c9]Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Timothy Baldwin:
Named Entity Recognition for Novel Types by Transfer Learning. EMNLP 2016: 899-905 - [c8]Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson:
STransE: a novel embedding model of entities and relationships in knowledge bases. HLT-NAACL 2016: 460-466 - [i7]Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson:
Neighborhood Mixture Model for Knowledge Base Completion. CoRR abs/1606.06461 (2016) - [i6]Dat Quoc Nguyen, Kairit Sirts, Lizhen Qu, Mark Johnson:
STransE: a novel embedding model of entities and relationships in knowledge bases. CoRR abs/1606.08140 (2016) - [i5]Giorgio Patrini, Alessandro Rozza, Aditya Krishna Menon, Richard Nock, Lizhen Qu:
Making Neural Networks Robust to Label Noise: a Loss Correction Approach. CoRR abs/1609.03683 (2016) - [i4]Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Timothy Baldwin:
Named Entity Recognition for Novel Types by Transfer Learning. CoRR abs/1610.09914 (2016) - [i3]Shijie Zhang, Lizhen Qu, Shaodi You, Zhenglu Yang, Jiawan Zhang:
Automatic Generation of Grounded Visual Questions. CoRR abs/1612.06530 (2016) - 2015
- [c7]Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Nathan Schneider, Timothy Baldwin:
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representations on Sequence Labelling Tasks. CoNLL 2015: 83-93 - [i2]Lizhen Qu, Gabriela Ferraro, Liyuan Zhou, Weiwei Hou, Nathan Schneider, Timothy Baldwin:
Big Data Small Data, In Domain Out-of Domain, Known Word Unknown Word: The Impact of Word Representation on Sequence Labelling Tasks. CoRR abs/1504.05319 (2015) - 2014
- [j1]Lizhen Qu, Yi Zhang, Rui Wang, Lili Jiang, Rainer Gemulla, Gerhard Weikum:
Senti-LSSVM: Sentiment-Oriented Multi-Relation Extraction with Latent Structural SVM. Trans. Assoc. Comput. Linguistics 2: 155-168 (2014) - [i1]Lizhen Qu, Bjoern Andres:
Estimating Maximally Probable Constrained Relations by Mathematical Programming. CoRR abs/1408.0838 (2014) - 2013
- [b1]Lizhen Qu:
Sentiment analysis with limited training data. Saarland University, 2013 - 2012
- [c6]Lizhen Qu, Rainer Gemulla, Gerhard Weikum:
A Weakly Supervised Model for Sentence-Level Semantic Orientation Analysis with Multiple Experts. EMNLP-CoNLL 2012: 149-159 - 2011
- [c5]Yafang Wang, Bin Yang, Lizhen Qu, Marc Spaniol, Gerhard Weikum:
Harvesting facts from textual web sources by constrained label propagation. CIKM 2011: 837-846 - 2010
- [c4]Lizhen Qu, Georgiana Ifrim, Gerhard Weikum:
The Bag-of-Opinions Method for Review Rating Prediction from Sparse Text Patterns. COLING 2010: 913-921 - [c3]Yafang Wang, Mingjie Zhu, Lizhen Qu, Marc Spaniol, Gerhard Weikum:
Timely YAGO: harvesting, querying, and visualizing temporal knowledge from Wikipedia. EDBT 2010: 697-700
2000 – 2009
- 2008
- [c2]Lizhen Qu, Christof Müller, Iryna Gurevych:
Using tag semantic network for keyphrase extraction in blogs. CIKM 2008: 1381-1382 - [c1]Lizhen Qu, Cigdem Toprak, Niklas Jakob, Iryna Gurevych:
Sentence Level Subjectivity and Sentiment Analysis Experiments in NTCIR-7 MOAT Challenge. NTCIR 2008
Coauthor Index
aka: Reza Haffari
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