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Align before Fuse: Vision and Language Representation Learning with Momentum Distillation


Jul 16, 2021
Junnan Li, Ramprasaath R. Selvaraju, Akhilesh Deepak Gotmare, Shafiq Joty, Caiming Xiong, Steven Hoi


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A Theory-Driven Self-Labeling Refinement Method for Contrastive Representation Learning


Jun 28, 2021
Pan Zhou, Caiming Xiong, Xiao-Tong Yuan, Steven Hoi

* under review. arXiv admin note: substantial text overlap with arXiv:1903.11680 by other authors 

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DocNLI: A Large-scale Dataset for Document-level Natural Language Inference


Jun 17, 2021
Wenpeng Yin, Dragomir Radev, Caiming Xiong

* ACL'21 Findings Camera-ready 

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Understanding the Under-Coverage Bias in Uncertainty Estimation


Jun 10, 2021
Yu Bai, Song Mei, Huan Wang, Caiming Xiong


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ERMAS: Becoming Robust to Reward Function Sim-to-Real Gaps in Multi-Agent Simulations


Jun 10, 2021
Eric Zhao, Alexander R. Trott, Caiming Xiong, Stephan Zheng


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Policy Finetuning: Bridging Sample-Efficient Offline and Online Reinforcement Learning


Jun 09, 2021
Tengyang Xie, Nan Jiang, Huan Wang, Caiming Xiong, Yu Bai


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Are Pretrained Transformers Robust in Intent Classification? A Missing Ingredient in Evaluation of Out-of-Scope Intent Detection


Jun 08, 2021
Jian-Guo Zhang, Kazuma Hashimoto, Yao Wan, Ye Liu, Caiming Xiong, Philip S. Yu


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Evaluating State-of-the-Art Classification Models Against Bayes Optimality


Jun 07, 2021
Ryan Theisen, Huan Wang, Lav R. Varshney, Caiming Xiong, Richard Socher


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Controllable Abstractive Dialogue Summarization with Sketch Supervision


Jun 03, 2021
Chien-Sheng Wu, Linqing Liu, Wenhao Liu, Pontus Stenetorp, Caiming Xiong

* ACL-Findings 2021. Code is released at https://github.com/salesforce/ConvSumm 

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Unsupervised Out-of-Domain Detection via Pre-trained Transformers


Jun 02, 2021
Keyang Xu, Tongzheng Ren, Shikun Zhang, Yihao Feng, Caiming Xiong

* Accepted by ACL 2021. Code is available at https://github.com/rivercold/BERT-unsupervised-OOD 

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BookSum: A Collection of Datasets for Long-form Narrative Summarization


May 18, 2021
Wojciech Kryściński, Nazneen Rajani, Divyansh Agarwal, Caiming Xiong, Dragomir Radev

* 19 pages, 12 tables, 3 figures 

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QAConv: Question Answering on Informative Conversations


May 14, 2021
Chien-Sheng Wu, Andrea Madotto, Wenhao Liu, Pascale Fung, Caiming Xiong

* Data and code are available at https://github.com/salesforce/QAConv 

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Pseudo Siamese Network for Few-shot Intent Generation


May 03, 2021
Congying Xia, Caiming Xiong, Philip Yu

* 5 pages, accepted to SIGIR2021 

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Learning to Synthesize Data for Semantic Parsing


Apr 27, 2021
Bailin Wang, Wenpeng Yin, Xi Victoria Lin, Caiming Xiong

* NAACL 2021 short paper, fixed citation issue 

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FeTaQA: Free-form Table Question Answering


Apr 01, 2021
Linyong Nan, Chiachun Hsieh, Ziming Mao, Xi Victoria Lin, Neha Verma, Rui Zhang, Wojciech Kryściński, Nick Schoelkopf, Riley Kong, Xiangru Tang, Murori Mutuma, Ben Rosand, Isabel Trindade, Renusree Bandaru, Jacob Cunningham, Caiming Xiong, Dragomir Radev


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Causal-aware Safe Policy Improvement for Task-oriented dialogue


Mar 10, 2021
Govardana Sachithanandam Ramachandran, Kazuma Hashimoto, Caiming Xiong


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Structured Scene Memory for Vision-Language Navigation


Mar 05, 2021
Hanqing Wang, Wenguan Wang, Wei Liang, Caiming Xiong, Jianbing Shen

* Accepted on CVPR2021; Implementation will be available at https://github.com/HanqingWangAI/SSM-VLN 

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Sample-Efficient Learning of Stackelberg Equilibria in General-Sum Games


Feb 23, 2021
Yu Bai, Chi Jin, Huan Wang, Caiming Xiong


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Localized Calibration: Metrics and Recalibration


Feb 22, 2021
Rachel Luo, Aadyot Bhatnagar, Huan Wang, Caiming Xiong, Silvio Savarese, Yu Bai, Shengjia Zhao, Stefano Ermon


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Don't Just Blame Over-parametrization for Over-confidence: Theoretical Analysis of Calibration in Binary Classification


Feb 15, 2021
Yu Bai, Song Mei, Huan Wang, Caiming Xiong


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Joint Energy-based Model Training for Better Calibrated Natural Language Understanding Models


Jan 18, 2021
Tianxing He, Bryan McCann, Caiming Xiong, Ehsan Hosseini-Asl

* EACL 2021 

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Robustness Gym: Unifying the NLP Evaluation Landscape


Jan 13, 2021
Karan Goel, Nazneen Rajani, Jesse Vig, Samson Tan, Jason Wu, Stephan Zheng, Caiming Xiong, Mohit Bansal, Christopher Ré

* 34 pages, 8 figures, 6 tables 

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FastIF: Scalable Influence Functions for Efficient Model Interpretation and Debugging


Dec 31, 2020
Han Guo, Nazneen Fatema Rajani, Peter Hase, Mohit Bansal, Caiming Xiong

* 18 pages 

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Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing


Dec 31, 2020
Xi Victoria Lin, Richard Socher, Caiming Xiong

* EMNLP Findings 2020 long paper extended; 23 pages 

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Catastrophic Fisher Explosion: Early Phase Fisher Matrix Impacts Generalization


Dec 28, 2020
Stanislaw Jastrzebski, Devansh Arpit, Oliver Astrand, Giancarlo Kerg, Huan Wang, Caiming Xiong, Richard Socher, Kyunghyun Cho, Krzysztof Geras

* The last two authors contributed equally 

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CTRLsum: Towards Generic Controllable Text Summarization


Dec 08, 2020
Junxian He, Wojciech Kryściński, Bryan McCann, Nazneen Rajani, Caiming Xiong

* Preprint 

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GAEA: Graph Augmentation for Equitable Access via Reinforcement Learning


Dec 07, 2020
Govardana Sachithanandam Ramachandran, Ivan Brugere, Lav R. Varshney, Caiming Xiong


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