Chen Zhao

According to our database, Chen Zhao authored at least 19 papers between 2016 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Large Language Models Help Humans Verify Truthfulness - Except When They Are Convincingly Wrong.

Chenglei Si, Navita Goyal, Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III, Jordan L. Boyd-Graber

Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers), 2024

2023

Mixture of Prompt Experts for Generalizable and Interpretable Question Answering.

Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber

CoRR, 2023

Getting MoRE out of Mixture of Language Model Reasoning Experts.

Chenglei Si, Weijia Shi, Chen Zhao, Luke Zettlemoyer, Jordan L. Boyd-Graber

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2023, 2023

2022

Towards Practical Complex Question Answering.

Chen Zhao

PhD thesis, 2022

Revisiting Calibration for Question Answering.

Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber

CoRR, 2022

Re-Examining Calibration: The Case of Question Answering.

Chenglei Si, Chen Zhao, Sewon Min, Jordan L. Boyd-Graber

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2022, 2022

2021

Distantly-Supervised Evidence Retrieval Enables Question Answering without Evidence Annotation.

Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III

CoRR, 2021

Multi-Step Reasoning Over Unstructured Text with Beam Dense Retrieval.

Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III

Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, 2021

Distantly-Supervised Dense Retrieval Enables Open-Domain Question Answering without Evidence Annotation.

Chen Zhao, Chenyan Xiong, Jordan L. Boyd-Graber, Hal Daumé III

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

What's in a Name? Answer Equivalence For Open-Domain Question Answering.

Chenglei Si, Chen Zhao, Jordan L. Boyd-Graber

Proceedings of the 2021 Conference on Empirical Methods in Natural Language Processing, 2021

2020

Learning blur invariant binary descriptor for face recognition.

Chen Zhao, Xuelong Li, Yongsheng Dong

Neurocomputing, 2020

Complex Factoid Question Answering with a Free-Text Knowledge Graph.

Chen Zhao, Chenyan Xiong, Xin Qian, Jordan L. Boyd-Graber

Proceedings of the WWW '20: The Web Conference 2020, Taipei, Taiwan, April 20-24, 2020, 2020

Transformer-XH: Multi-Evidence Reasoning with eXtra Hop Attention.

Chen Zhao, Chenyan Xiong, Corby Rosset, Xia Song, Paul N. Bennett, Saurabh Tiwary

Proceedings of the 8th International Conference on Learning Representations, 2020

On the Potential of Lexico-logical Alignments for Semantic Parsing to SQL Queries.

Tianze Shi, Chen Zhao, Jordan L. Boyd-Graber, Hal Daumé III, Lillian Lee

Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2020, 2020

2019

Auto-EM: End-to-end Fuzzy Entity-Matching using Pre-trained Deep Models and Transfer Learning.

Chen Zhao, Yeye He

Proceedings of the World Wide Web Conference, 2019

2018

A dataset and baselines for sequential open-domain question answering.

Ahmed Elgohary, Chen Zhao, Jordan L. Boyd-Graber

Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31, 2018

2016

Atom Decomposition with Adaptive Basis Selection Strategy for Matrix Completion.

Yao Hu, Chen Zhao, Deng Cai, Xiaofei He, Xuelong Li

ACM Trans. Multim. Comput. Commun. Appl., 2016

Atom Decomposition Based Subgradient Descent for matrix classification.

Wenqing Chu, Yao Hu, Chen Zhao, Haifeng Liu, Deng Cai

Neurocomputing, 2016

LightNet: A Versatile, Standalone Matlab-based Environment for Deep Learning.

Chengxi Ye, Chen Zhao, Yezhou Yang, Cornelia Fermüller, Yiannis Aloimonos

Proceedings of the 2016 ACM Conference on Multimedia Conference, 2016