ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2407.21046
  4. Cited By
Promises and Pitfalls of Generative Masked Language Modeling:
  Theoretical Framework and Practical Guidelines

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
ArXivPDFHTML

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?
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
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
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
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