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RGRecSys: A Toolkit for Robustness Evaluation of Recommender Systems

Jan 12, 2022
Zohreh Ovaisi, Shelby Heinecke, Jia Li, Yongfeng Zhang, Elena Zheleva, Caiming Xiong

* In Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining (WSDM 22), February 2022, ACM, 4 pages 

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QAFactEval: Improved QA-Based Factual Consistency Evaluation for Summarization

Dec 16, 2021
Alexander R. Fabbri, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong

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Value Retrieval with Arbitrary Queries for Form-like Documents

Dec 15, 2021
Mingfei Gao, Le Xue, Chetan Ramaiah, Chen Xing, Ran Xu, Caiming Xiong

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Combining Data-driven Supervision with Human-in-the-loop Feedback for Entity Resolution

Nov 20, 2021
Wenpeng Yin, Shelby Heinecke, Jia Li, Nitish Shirish Keskar, Michael Jones, Shouzhong Shi, Stanislav Georgiev, Kurt Milich, Joseph Esposito, Caiming Xiong

* Camera-ready for Data-Centric AI Workshop at NeurIPS 2021 

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Towards Open Vocabulary Object Detection without Human-provided Bounding Boxes

Nov 18, 2021
Mingfei Gao, Chen Xing, Juan Carlos Niebles, Junnan Li, Ran Xu, Wenhao Liu, Caiming Xiong

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Dense Hierarchical Retrieval for Open-Domain Question Answering

Oct 28, 2021
Ye Liu, Kazuma Hashimoto, Yingbo Zhou, Semih Yavuz, Caiming Xiong, Philip S. Yu

* EMNLP 2021 Findings 

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Ensemble of Averages: Improving Model Selection and Boosting Performance in Domain Generalization

Oct 26, 2021
Devansh Arpit, Huan Wang, Yingbo Zhou, Caiming Xiong

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Momentum Contrastive Autoencoder: Using Contrastive Learning for Latent Space Distribution Matching in WAE

Oct 19, 2021
Devansh Arpit, Aadyot, Bhatnagar, Huan Wang, Caiming Xiong

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Learning Rich Nearest Neighbor Representations from Self-supervised Ensembles

Oct 19, 2021
Bram Wallace, Devansh Arpit, Huan Wang, Caiming Xiong

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Improving Tail-Class Representation with Centroid Contrastive Learning

Oct 19, 2021
Anthony Meng Huat Tiong, Junnan Li, Guosheng Lin, Boyang Li, Caiming Xiong, Steven C. H. Hoi

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DialFact: A Benchmark for Fact-Checking in Dialogue

Oct 15, 2021
Prakhar Gupta, Chien-Sheng Wu, Wenhao Liu, Caiming Xiong

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MixQG: Neural Question Generation with Mixed Answer Types

Oct 15, 2021
Lidiya Murakhovs'ka, Chien-Sheng Wu, Tong Niu, Wenhao Liu, Caiming Xiong

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Improving Gender Fairness of Pre-Trained Language Models without Catastrophic Forgetting

Oct 11, 2021
Zahra Fatemi, Chen Xing, Wenhao Liu, Caiming Xiong

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Robustness Evaluation of Transformer-based Form Field Extractors via Form Attacks

Oct 08, 2021
Le Xue, Mingfei Gao, Zeyuan Chen, Caiming Xiong, Ran Xu

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Field Extraction from Forms with Unlabeled Data

Oct 08, 2021
Mingfei Gao, Zeyuan Chen, Nikhil Naik, Kazuma Hashimoto, Caiming Xiong, Ran Xu

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Modeling Dynamic Attributes for Next Basket Recommendation

Sep 23, 2021
Yongjun Chen, Jia Li, Chenghao Liu, Chenxi Li, Markus Anderle, Julian McAuley, Caiming Xiong

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Merlion: A Machine Learning Library for Time Series

Sep 20, 2021
Aadyot Bhatnagar, Paul Kassianik, Chenghao Liu, Tian Lan, Wenzhuo Yang, Rowan Cassius, Doyen Sahoo, Devansh Arpit, Sri Subramanian, Gerald Woo, Amrita Saha, Arun Kumar Jagota, Gokulakrishnan Gopalakrishnan, Manpreet Singh, K C Krithika, Sukumar Maddineni, Daeki Cho, Bo Zong, Yingbo Zhou, Caiming Xiong, Silvio Savarese, Steven Hoi, Huan Wang

* 22 pages, 1 figure, 14 tables 

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RnG-KBQA: Generation Augmented Iterative Ranking for Knowledge Base Question Answering

Sep 17, 2021
Xi Ye, Semih Yavuz, Kazuma Hashimoto, Yingbo Zhou, Caiming Xiong

* 11 pages, 7 figures 

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Contrastive Self-supervised Sequential Recommendation with Robust Augmentation

Aug 14, 2021
Zhiwei Liu, Yongjun Chen, Jia Li, Philip S. Yu, Julian McAuley, Caiming Xiong

* Under-review. Work done during Zhiwei's intern at Salesforce. Inc 

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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 

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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 

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