Michael J. Q. Zhang

According to our database, Michael J. Q. Zhang authored at least 10 papers between 2021 and 2023.

Collaborative distances:

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

2023

Clarify When Necessary: Resolving Ambiguity Through Interaction with LMs.

Michael J. Q. Zhang, Eunsol Choi

CoRR, 2023

Propagating Knowledge Updates to LMs Through Distillation.

Shankar Padmanabhan, Yasumasa Onoe, Michael J. Q. Zhang, Greg Durrett, Eunsol Choi

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Mitigating Temporal Misalignment by Discarding Outdated Facts.

Michael J. Q. Zhang, Eunsol Choi

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Selectively Answering Ambiguous Questions.

Jeremy R. Cole, Michael J. Q. Zhang, Daniel Gillick, Julian Eisenschlos, Bhuwan Dhingra, Jacob Eisenstein

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

DiffQG: Generating Questions to Summarize Factual Changes.

Jeremy R. Cole, Palak Jain, Julian Martin Eisenschlos, Michael J. Q. Zhang, Eunsol Choi, Bhuwan Dhingra

Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics, 2023

Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge.

Yasumasa Onoe, Michael J. Q. Zhang, Shankar Padmanabhan, Greg Durrett, Eunsol Choi

Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), 2023

2022

Entity Cloze By Date: What LMs Know About Unseen Entities.

Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett

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

Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence.

Hung-Ting Chen, Michael J. Q. Zhang, Eunsol Choi

Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, 2022

2021

CREAK: A Dataset for Commonsense Reasoning over Entity Knowledge.

Yasumasa Onoe, Michael J. Q. Zhang, Eunsol Choi, Greg Durrett

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021

SituatedQA: Incorporating Extra-Linguistic Contexts into QA.

Michael J. Q. Zhang, Eunsol Choi

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