Michael Zhang
28 papers · 2017–2025 · 11 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 12 separate collaboration groups - the largest holds only 36% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Michael Zhang?
4 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Eunsol Choi, Yasumasa Onoe, Greg Durrett
6 papers
· 2021–2023
· EMNLP, ACL, NeurIPS
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Can LMs Learn New Entities from Descriptions? Challenges in Propagating Injected Knowledge
ACL 2023
Mitigating Temporal Misalignment by Discarding Outdated Facts
EMNLP 2023
Propagating Knowledge Updates to LMs Through Distillation
NeurIPS 2023
Entity Cloze By Date: What LMs Know About Unseen Entities
NAACL 2022
Rich Knowledge Sources Bring Complex Knowledge Conflicts: Recalibrating Models to Reflect Conflicting Evidence
EMNLP 2022
SituatedQA: Incorporating Extra-Linguistic Contexts into QA
EMNLP 2021
8 papers whose co-authors appear nowhere else under this name
Selectively Answering Ambiguous Questions
EMNLP 2023
Triangle and Four Cycle Counting with Predictions in Graph Streams
ICLR 2022
Personalized Federated Learning with First Order Model Optimization
ICLR 2021
Distributed, partially collapsed MCMC for Bayesian Nonparametrics
AISTATS 2020
Reinforcement Mechanism Design: With Applications to Dynamic Pricing in Sponsored Search Auctions
AAAI 2020
Soft Multicopter Control Using Neural Dynamics Identification
CoRL 2020
Communication Efficient Parallel Algorithms for Optimization on Manifolds
NeurIPS 2018
Reverse Curriculum Generation for Reinforcement Learning
CoRL 2017