Measuring Conversational Uptake: A Case Study on Student-Teacher Interactions. - Dorottya Demszky; Jing Liu 064; Zid Mancenido; Julie Cohen; Heather Hill; Dan Jurafsky; Tatsunori Hashimoto (ACL/IJCNLP (1), 2021)

Computationally Identifying Funneling and Focusing Questions in Classroom Discourse. - Sterling Alic; Dorottya Demszky; Zid Mancenido; Jing Liu 064; Heather Hill; Dan Jurafsky (CoRR, 2022)

M-Powering Teachers: Natural Language Processing Powered Feedback Improves 1: 1 Instruction and Student Outcomes. - Dorottya Demszky; Jing Liu 064 (L@S, 2023)

Kid-Whisper: Towards Bridging the Performance Gap in Automatic Speech Recognition for Children VS. Adults. - Ahmed Adel Attia; Jing Liu 064; Wei Ai 002; Dorottya Demszky; Carol Y. Espy-Wilson (AIES (1), 2024)

The Promises and Pitfalls of Using Language Models to Measure Instruction Quality in Education. - Paiheng Xu; Jing Liu 064; Nathan Jones; Julie Cohen; Wei Ai 002 (NAACL-HLT, 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 064; Carol Y. Espy-Wilson (CoRR, 2024)

CPT-Boosted Wav2vec2.0: Towards Noise Robust Speech Recognition for Classroom Environments. - Ahmed Adel Attia; Dorottya Demszky; Tolúlopé Ògúnrèmí; Jing Liu 064; Carol Y. Espy-Wilson (ICASSP, 2025)

Automated feedback improves teachers' questioning quality in brick-and-mortar classrooms: Opportunities for further enhancement. - Dorottya Demszky; Jing Liu 064; Heather Hill; Shyamoli Sanghi; Ariel Chung (Comput. Educ., 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 064; Carol Y. Espy-Wilson (CoRR, 2025)