Jing Liu

According to our database, Jing Liu authored at least 9 papers between 2021 and 2025.

Collaborative distances:

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

2025

From Weak Labels to Strong Results: Utilizing 5,000 Hours of Noisy Classroom Transcripts with Minimal Accurate Data.

Ahmed Adel Attia, Dorottya Demszky, Jing Liu, Carol Y. Espy-Wilson

CoRR, May, 2025

Automated feedback improves teachers' questioning quality in brick-and-mortar classrooms: Opportunities for further enhancement.

Dorottya Demszky, Jing Liu, Heather Hill, Shyamoli Sanghi, Ariel Chung

Comput. Educ., 2025

CPT-Boosted Wav2vec2.0: Towards Noise Robust Speech Recognition for Classroom Environments.

Ahmed Adel Attia, Dorottya Demszky, Tolúlopé Ògúnrèmí, Jing Liu, Carol Y. Espy-Wilson

Proceedings of the 2025 IEEE International Conference on Acoustics, 2025

2024

Continued Pretraining for Domain Adaptation of Wav2vec2.0 in Automatic Speech Recognition for Elementary Math Classroom Settings.

Ahmed Adel Attia, Dorottya Demszky, Tolúlopé Ògúnrèmí, Jing Liu, Carol Y. Espy-Wilson

CoRR, 2024

The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education.

Paiheng Xu, Jing Liu, Nathan Jones, Julie Cohen, Wei Ai

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

Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults.

Ahmed Adel Attia, Jing Liu, Wei Ai, Dorottya Demszky, Carol Y. Espy-Wilson

Proceedings of the Seventh AAAI/ACM Conference on AI, Ethics, and Society (AIES-24) - Full Archival Papers, October 21-23, 2024, San Jose, California, USA, 2024

2023

M-Powering Teachers: Natural Language Processing Powered Feedback Improves 1: 1 Instruction and Student Outcomes.

Dorottya Demszky, Jing Liu

Proceedings of the Tenth ACM Conference on Learning @ Scale, 2023

2022

Computationally Identifying Funneling and Focusing Questions in Classroom Discourse.

Sterling Alic, Dorottya Demszky, Zid Mancenido, Jing Liu, Heather Hill, Dan Jurafsky

CoRR, 2022

2021

Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions.

Dorottya Demszky, Jing Liu, Zid Mancenido, Julie Cohen, Heather Hill, Dan Jurafsky, Tatsunori Hashimoto

Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing, 2021