Jin Cao

According to our database, Jin Cao authored at least 9 papers between 2017 and 2023.

Collaborative distances:

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

2023

Sharing Encoder Representations across Languages, Domains and Tasks in Large-Scale Spoken Language Understanding.

Jonathan J. Hüser, Judith Gaspers, Thomas Gueudré, Chandana Satya Prakash, Jin Cao, Daniil Sorokin, Quynh Do, Nicolas Anastassacos, Tobias Falke, Turan Gojayev

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 5: Industry Track), 2023

2022

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.

Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Liz Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan

CoRR, 2022

Instilling Type Knowledge in Language Models via Multi-Task QA.

Shuyang Li, Mukund Sridhar, Chandana Satya Prakash, Jin Cao, Wael Hamza, Julian J. McAuley

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

Attention Fusion: a light yet efficient late fusion mechanism for task adaptation in NLU.

Jin Cao, Chandana Satya Prakash, Wael Hamza

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

Alexa Teacher Model: Pretraining and Distilling Multi-Billion-Parameter Encoders for Natural Language Understanding Systems.

Jack FitzGerald, Shankar Ananthakrishnan, Konstantine Arkoudas, Davide Bernardi, Abhishek Bhagia, Claudio Delli Bovi, Jin Cao, Rakesh Chada, Amit Chauhan, Luoxin Chen, Anurag Dwarakanath, Satyam Dwivedi, Turan Gojayev, Karthik Gopalakrishnan, Thomas Gueudré, Dilek Hakkani-Tur, Wael Hamza, Jonathan J. Hüser, Kevin Martin Jose, Haidar Khan, Beiye Liu, Jianhua Lu, Alessandro Manzotti, Pradeep Natarajan, Karolina Owczarzak, Gokmen Oz, Enrico Palumbo, Charith Peris, Chandana Satya Prakash, Stephen Rawls, Andy Rosenbaum, Anjali Shenoy, Saleh Soltan, Mukund Harakere Sridhar, Lizhen Tan, Fabian Triefenbach, Pan Wei, Haiyang Yu, Shuai Zheng, Gökhan Tür, Prem Natarajan

Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

2021

Zero-shot Generalization in Dialog State Tracking through Generative Question Answering.

Shuyang Li, Jin Cao, Mukund Sridhar, Henghui Zhu, Shang-Wen Li, Wael Hamza, Julian J. McAuley

Proceedings of the 16th Conference of the European Chapter of the Association for Computational Linguistics: Main Volume, 2021

2020

Towards Semi-Supervised Semantics Understanding from Speech.

Cheng-I Lai, Jin Cao, Sravan Bodapati, Shang-Wen Li

CoRR, 2020

Style Attuned Pre-Training and Parameter Efficient Fine-Tuning for Spoken Language Understanding.

Jin Cao, Jun Wang, Wael Hamza, Kelly Vanee, Shang-Wen Li

Proceedings of the 21st Annual Conference of the International Speech Communication Association, 2020

2017

Learning Robust Dialog Policies in Noisy Environments.

Maryam Fazel-Zarandi, Shang-Wen Li, Jin Cao, Jared Casale, Peter Henderson, David Whitney, Alborz Geramifard

CoRR, 2017