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2407.21046
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Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines
22 July 2024
Yuchen Li
Alexandre Kirchmeyer
Aashay Mehta
Yilong Qin
Boris Dadachev
Kishore Papineni
Sanjiv Kumar
Andrej Risteski
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Papers citing
"Promises and Pitfalls of Generative Masked Language Modeling: Theoretical Framework and Practical Guidelines"
4 / 4 papers shown
Title
Do Transformers Parse while Predicting the Masked Word?
Haoyu Zhao
A. Panigrahi
Rong Ge
Sanjeev Arora
74
29
0
14 Mar 2023
How Do Transformers Learn Topic Structure: Towards a Mechanistic Understanding
Yuchen Li
Yuan-Fang Li
Andrej Risteski
98
61
0
07 Mar 2023
Diffusion-LM Improves Controllable Text Generation
Xiang Lisa Li
John Thickstun
Ishaan Gulrajani
Percy Liang
Tatsunori B. Hashimoto
AI4CE
163
768
0
27 May 2022
Argmax Flows and Multinomial Diffusion: Learning Categorical Distributions
Emiel Hoogeboom
Didrik Nielsen
P. Jaini
Patrick Forré
Max Welling
DiffM
199
392
0
10 Feb 2021
1